Bigquery MCQ Questions and Answers

Mastering Bigquery is crucial for cloud certification success. This dedicated practice set features 128 Bigquery MCQ questions and answers designed to mirror real exam scenarios across various GCP certifications.

📝 128 Questions⏱️ 90 min🎯 Pass: 70%

About Bigquery Practice Questions

This detailed quiz focuses on Bigquery, covering key concepts and scenarios often found in GCP exams.

  • Comprehensive coverage of Bigquery features.
  • Scenario-based questions testing design and troubleshooting skills.
  • Detailed explanations to reinforce learning.

All 128 Bigquery Questions

Browse through the complete list of questions and answers below. Use this resource to review specific concepts or check your understanding of Bigquery.

1

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataproc
Looker
Dataprep
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
2

What is Google BigQuery?

A fully managed, serverless enterprise data warehouse that enables scalable analysis over petabytes of data
A tool for compressing large images
A social media platform for data scientists
A physical storage drive for data centers
View Explanation
✓ Correct Answer: A fully managed, serverless enterprise data warehouse that enables scalable analysis over petabytes of dataExplanation:BigQuery uses a serverless architecture that allows Google to manage all infrastructure, letting you focus on data analysis using SQL.
3

Which BigQuery feature allows you to run machine learning models directly on your data using standard SQL?

BigQuery ML
Vertex AI only
AutoML
BigQuery Data Transfer Service
View Explanation
✓ Correct Answer: BigQuery MLExplanation:BigQuery ML enables users to create and execute machine learning models in BigQuery using SQL queries.
4

How is BigQuery storage priced?

Based on the amount of data stored, with lower costs for data not modified in 90 days
It is completely free
Fixed monthly fee per project
Per number of tables created
View Explanation
✓ Correct Answer: Based on the amount of data stored, with lower costs for data not modified in 90 daysExplanation:BigQuery offers 'Long-term storage' pricing for data that hasn't been edited for 90 days, which is significantly cheaper.
5

Which BigQuery feature allows you to query data directly from external sources like Cloud Storage, Bigtable, or Google Drive without loading it into BigQuery first?

External Data Sources (Federated Queries)
BigQuery Omnibus
Dataflow
Cloud Storage Transfer Service
View Explanation
✓ Correct Answer: External Data Sources (Federated Queries)Explanation:External data sources allow BigQuery to act as a query engine for data stored elsewhere.
6

What is 'BigQuery Omni'?

A multi-cloud analytics solution that allows you to analyze data across GCP, AWS, and Azure using the BigQuery interface
A new version of the BigQuery dashboard
A tool for visualizing BigQuery data in VR
A specialized instance of BigQuery for small businesses
View Explanation
✓ Correct Answer: A multi-cloud analytics solution that allows you to analyze data across GCP, AWS, and Azure using the BigQuery interfaceExplanation:BigQuery Omni enables cross-cloud data analysis without the need for data movement or egress fees.
7

In BigQuery, what is a 'Partitioned Table'?

A table divided into segments (partitions) based on a specific column (e.g., date) to improve query performance and reduce costs
A table that is shared with other GCP projects
A table that cannot be edited
A table that is only stored in one physical location
View Explanation
✓ Correct Answer: A table divided into segments (partitions) based on a specific column (e.g., date) to improve query performance and reduce costsExplanation:Partitioning allows BigQuery to scan only the relevant data for a query, saving time and money.
8

Which BigQuery tool would you use to schedule and automate the movement of data from SaaS applications (like Google Ads or Salesforce) into BigQuery?

BigQuery Data Transfer Service
Cloud Storage Transfer Service
Pub/Sub
Looker
View Explanation
✓ Correct Answer: BigQuery Data Transfer ServiceExplanation:The Data Transfer Service automates data movement from various sources into BigQuery.
9

What is the primary architectural difference between BigQuery and a traditional RDBMS like MySQL?

BigQuery is columnar-based and designed for analytical workloads (OLAP), while MySQL is row-based (OLTP)
BigQuery doesn't support SQL
MySQL is serverless but BigQuery is not
BigQuery is only for storing images
View Explanation
✓ Correct Answer: BigQuery is columnar-based and designed for analytical workloads (OLAP), while MySQL is row-based (OLTP)Explanation:BigQuery is optimized for large-scale analytical queries rather than individual transaction processing.
10

How does BigQuery handle scaling when you run a query that processes Terabytes of data?

It automatically scales compute resources (slots) transparently to handle the workload
You must manually add more 'BigQuery Servers' before running the query
It limits you to 1GB per query unless you pay for a dedicated host
It processes the data linearly on a single CPU
View Explanation
✓ Correct Answer: It automatically scales compute resources (slots) transparently to handle the workloadExplanation:BigQuery is completely serverless and handles all resource allocation for you.
11

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Dataprep
Data Catalog
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
12

Which Google Cloud service is a serverless, highly scalable, and cost-effective multi-cloud data warehouse designed for business agility?

BigQuery
Looker
Cloud Dataflow
Cloud Dataproc
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery allows for super-fast SQL queries using the processing power of Google's infrastructure.
13

What does it mean that BigQuery has a 'Separated Storage and Compute' architecture?

It allows storage and query processing to scale independently and elastically
You must buy storage and compute from different vendors
Storage is only available when a query is running
Compute is only available in the US-Central region
View Explanation
✓ Correct Answer: It allows storage and query processing to scale independently and elasticallyExplanation:This design provides great flexibility and cost-efficiency, as you only pay for what you use of each.
14

An administrator wants to query data that is stored in Cloud Storage (CSV/Parquet) without loading it into BigQuery. Which feature should they use?

External Tables (Federated Queries)
Data Transfer Service
BigQuery Omni
Cloud Dataflow
View Explanation
✓ Correct Answer: External Tables (Federated Queries)Explanation:External tables allow you to query data directly from its source, avoiding the cost and time of ingestion.
15

Which BigQuery feature helps reduce query costs and improve performance by only scanning relevant data blocks based on a column like 'timestamp'?

Partitioning
Clustering
Indexing
Sharding
View Explanation
✓ Correct Answer: PartitioningExplanation:Partitioning divides a large table into smaller segments, and queries that use the partition key only process the necessary partitions.
16

What is 'BigQuery ML' used for?

To create and execute machine learning models in BigQuery using standard SQL queries
To translate SQL into different languages
To monitor the health of the BigQuery servers
To automate data deletion
View Explanation
✓ Correct Answer: To create and execute machine learning models in BigQuery using standard SQL queriesExplanation:BQML democratizes machine learning by allowing data analysts to build models without moving data or learning Python.
17

How is BigQuery pricing primarily calculated?

Based on the amount of data stored and the amount of data processed by queries (analysis costs)
A fixed monthly subscription
Based on the number of users
Based on the number of tables
View Explanation
✓ Correct Answer: Based on the amount of data stored and the amount of data processed by queries (analysis costs)Explanation:Understanding BQ pricing is critical for optimizing costs, especially for large datasets.
18

An administrator mistakenly deleted a large table in BigQuery. Can they recover it?

Yes, using 'Time Travel', which allows you to access data from any point in the last seven days
No, deletions are permanent
Only if they had taking a manual backup
Only in the Premium tier
View Explanation
✓ Correct Answer: Yes, using 'Time Travel', which allows you to access data from any point in the last seven daysExplanation:Time travel provides built-in data protection with no additional configuration.
19

What is the purpose of 'Authorized Views' in BigQuery?

To share query results with users without giving them access to the underlying source tables
To speed up the query
To encrypt the data
To compress the data
View Explanation
✓ Correct Answer: To share query results with users without giving them access to the underlying source tablesExplanation:Authorized views are a key security feature for providing granular data access.
20

Which tool can be used to visualize and create interactive dashboards from BigQuery data?

Looker Studio (formerly Data Studio)
Cloud Shell
BigQuery Editor
Compute Engine
View Explanation
✓ Correct Answer: Looker Studio (formerly Data Studio)Explanation:Looker Studio integrates seamlessly with BigQuery for business intelligence reporting.
21

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
Cloud Dataproc
Data Catalog
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
22

A data analytics team needs to process streaming data from millions of IoT devices. The data arrives at unpredictable intervals and must be analyzed in real-time before being stored in BigQuery. Which architecture is most scalable and cost-effective?

Cloud Pub/Sub -> Cloud Dataflow -> BigQuery
Cloud Pub/Sub -> Cloud Dataproc -> BigQuery
Cloud Functions -> Cloud SQL -> BigQuery
Compute Engine -> Cloud Storage -> BigQuery
View Explanation
✓ Correct Answer: Cloud Pub/Sub -> Cloud Dataflow -> BigQueryExplanation:The Pub/Sub + Dataflow combination is the industry-standard serverless pattern for real-time stream processing in GCP, offering automatic scaling and native integration with BigQuery.
23

A data warehouse team needs to join data from BigQuery with data stored in a Cloud SQL PostgreSQL instance in real-time. Which BigQuery feature allows this federated query without moving the data?

BigQuery External Tables (via Cloud SQL connection)
BigQuery Data Transfer Service
Export from Cloud SQL to GCS as CSV
BigQuery ML
View Explanation
✓ Correct Answer: BigQuery External Tables (via Cloud SQL connection)Explanation:BigQuery can perform federated queries against Cloud SQL (MySQL or PostgreSQL) using external tables, allowing you to query live relational data alongside petabyte-scale analytical data.
24

Your data science team wants to use SQL to build and deploy a machine learning model for predicting customer churn directly where the data resides. They want to avoid complex ETL and data movement. Which service should they use?

Vertex AI AutoML
BigQuery ML
Cloud Dataproc
TensorFlow on GCE
View Explanation
✓ Correct Answer: BigQuery MLExplanation:BigQuery ML allows data scientists to build and execute machine learning models in BigQuery using standard SQL queries, eliminating the need to move data to a separate ML platform.
25

To optimize costs for a BigQuery project, you want to identify which queries are consuming the most 'Slots' and which datasets are never accessed. Which tool should you use?

BigQuery INFORMATION_SCHEMA and Cloud Monitoring metrics
Cloud Billing reports
IAM Audit Logs
Activity API
View Explanation
✓ Correct Answer: BigQuery INFORMATION_SCHEMA and Cloud Monitoring metricsExplanation:BigQuery's INFORMATION_SCHEMA tables (like JOBS_BY_PROJECT) provide detailed metadata about query performance, slot usage, and data access patterns for cost and performance optimization.
26

Your company is audit-driven and needs to capture and analyze every SQL query executed against BigQuery for compliance purposes. How can they achieve this?

Enable 'Data Access' Audit Logs for BigQuery and export them to a security dataset
Use the Activity API
BigQuery already keeps this in HISTORY indefinitely
Monitor with Cloud Trace
View Explanation
✓ Correct Answer: Enable 'Data Access' Audit Logs for BigQuery and export them to a security datasetExplanation:Data Access audit logs capture detailed information about BigQuery activity, including identity, time, and the specific query text for every job.
27

An organization is migrating a massive SQL Server data warehouse to BigQuery. They want to ensure that the data remains encrypted at all times, and only specific groups of users can view sensitive columns like names and addresses. Which combination of features should they use?

BigQuery Column-Level Security (Policy Tags)
Encryption at rest
BigQuery Row-Level Security
VPC Service Controls
View Explanation
✓ Correct Answer: BigQuery Column-Level Security (Policy Tags)Explanation:Column-level security in BigQuery (using Policy Tags) allows you to restrict access to specific columns within a table based on user identity.
28

An organization is migrating their 100 TB of data to BigQuery. They want to ensure they don't go over budget. What is the most effective way to control costs for analytical queries?

BigQuery Slots (Reservations) / Flat-rate pricing
Limiting the memory of users
Using CSV instead of parquet
Deleting data frequently
View Explanation
✓ Correct Answer: BigQuery Slots (Reservations) / Flat-rate pricingExplanation:Reservations allow you to buy dedicated capacity (slots), which provides deterministic pricing for large, unpredictable analytical workloads.
29

Your company needs to analyze data stored in Amazon S3 and Azure Blob Storage using BigQuery without moving the data to Google Cloud. Which BigQuery feature provides this multi-cloud analytics capability?

BigQuery Omni
BigQuery Data Transfer Service
Cloud Storage FUSE
External Tables (GCS)
View Explanation
✓ Correct Answer: BigQuery OmniExplanation:BigQuery Omni is a multi-cloud analytics solution that allows you to run BigQuery on data stored in AWS and Azure, avoiding egress costs and data movement duplication.
30

A media company wants to share their real-time news dataset with hundreds of external partner organizations in a way that is secure, governed, and doesn't involve copying or exporting the data. What is the recommended GCP service?

BigQuery Analytics Hub
Cloud Storage with Signed URLs
VPC Network Peering
Pub/Sub
View Explanation
✓ Correct Answer: BigQuery Analytics HubExplanation:Analytics Hub is a data exchange service that allows for secure, in-place data sharing across organizations, maintaining governance and data sovereignty.
31

Your BigQuery analysts are complaining that repetitive, complex queries are running slowly and consuming too many slots. You want to precompute and cache the results of these queries in a way that BigQuery automatically manages and refreshes. Which feature should you implement?

Materialized Views
Cached Query Results (Temporary Tables)
BigQuery BI Engine
External Tables
View Explanation
✓ Correct Answer: Materialized ViewsExplanation:Materialized views are precomputed views that BigQuery automatically maintains. When you query the view (or even the base table in some cases), BigQuery uses the precomputed results to improve performance and reduce cost.
32

Scenario: To reduce the cost of a data warehouse, you want to store 5 years of historical data in BigQuery but only pay for the cheaper 'long-term storage' price. How do you qualify for this lower price?

The data in a table (or partition) must not have been modified for 90 consecutive days
You must export the data to Cloud Storage
You must use the Archive storage class
You must use flat-rate pricing
View Explanation
✓ Correct Answer: The data in a table (or partition) must not have been modified for 90 consecutive daysExplanation:BigQuery automatically drops the storage price by ~50% for data that hasn't been modified in 90 days, without a change in query performance or availability.
33

You are designing a disaster recovery plan for a data analytics platform. You want to ensure that if a region fails, your BigQuery data is safe and available in another region with an RTO of less than 1 hour. Which feature is most effective?

BigQuery Dataset Replication
Exporting data to a multi-regional GCS bucket
Daily scheduled BQ snapshots
Sharing the dataset with another project
View Explanation
✓ Correct Answer: BigQuery Dataset ReplicationExplanation:BigQuery Dataset Replication (and failover) allows you to maintain a synchronize copy of your data in a secondary region for high availability and disaster recovery.
34

You are hosting a very large dataset in BigQuery. You want to minimize the amount of data scanned for common queries that filter by 'date'. What should you do?

Use a Partitioned Table (on the date column)
Use a Clustered Table
Create a secondary index
Use CSV storage
View Explanation
✓ Correct Answer: Use a Partitioned Table (on the date column)Explanation:Partitioning divides a large table into smaller segments based on a column value (like a date), allowing BigQuery to prune irrelevant partitions during a query and reduce costs.
35

An organization wants to manage their data in GCP following the 'Principle of Least Privilege'. They want to ensure that a group of analysts can ONLY query data in BigQuery but cannot delete or modify any tables. Which IAM role should they be granted?

BigQuery Data Viewer
BigQuery User
BigQuery Editor
BigQuery Admin
View Explanation
✓ Correct Answer: BigQuery Data ViewerExplanation:The 'BigQuery Data Viewer' role allows users to view table metadata and data but does not allow any modifications.
36

To protect your BigQuery environment from accidental high-cost queries (e.g., a 'SELECT *' on a petabyte-scale table), what is the most effective preventative control?

BigQuery 'Maximum bytes billed' setting (per query or per user)
Billing alerts
Stopping the Billing account
Training the analysts
View Explanation
✓ Correct Answer: BigQuery 'Maximum bytes billed' setting (per query or per user)Explanation:The 'Maximum bytes billed' limit (or query-level usage quotas) prevents queries that exceed a certain size from even starting, protecting against 'bill shock'.
37

To ensure that sensitive data (like credit card numbers) is never stored in cleartext in your BigQuery tables, which service should you integrate into your ETL pipeline?

Cloud DLP (Sensitive Data Protection) for de-identification
Cloud Armor
IAM roles
Encryption at rest
View Explanation
✓ Correct Answer: Cloud DLP (Sensitive Data Protection) for de-identificationExplanation:Cloud DLP can redact, mask, or tokenize sensitive info before it reaches your storage layers, ensuring privacy and compliance.
38

To prevent 'bill shock' from a developer accidentally running a very expensive BigQuery query, which control should you implement at the project level?

BigQuery 'Maximum bytes billed' per user/project limit
Billing alerts at 50% budget
Disabling the BigQuery API
Using CSV datasets only
View Explanation
✓ Correct Answer: BigQuery 'Maximum bytes billed' per user/project limitExplanation:Query-level usage quotas in BigQuery allow you to cap the cost of individual queries, preventing them from running if they exceed a specific threshold.
39

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
Cloud Dataproc
BigQuery
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
40

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Fusion
Cloud Pub/Sub
Dataprep
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
41

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Data Catalog
Cloud Pub/Sub
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
42

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataproc
Looker
BigQuery
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
43

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataproc
Cloud Dataflow
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
44

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Fusion
BigQuery
Data Catalog
Cloud Pub/Sub
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
45

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Pub/Sub
Cloud Dataflow
Cloud Dataproc
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
46

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Catalog
Cloud Dataproc
Cloud Dataflow
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
47

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Fusion
Cloud Dataflow
BigQuery
Dataprep
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
48

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Dataprep
Looker
BigQuery
Data Catalog
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
49

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
Data Fusion
BigQuery
Data Catalog
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
50

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Pub/Sub
Cloud Dataproc
BigQuery
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
51

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Pub/Sub
Cloud Dataflow
BigQuery
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
52

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Pub/Sub
Looker
Data Catalog
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
53

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Catalog
Data Fusion
Looker
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
54

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataflow
Dataprep
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
55

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Dataprep
Data Fusion
BigQuery
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
56

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Dataprep
Data Fusion
Cloud Dataproc
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
57

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Pub/Sub
Data Catalog
BigQuery
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
58

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataproc
BigQuery
Cloud Dataflow
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
59

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Dataprep
Cloud Dataflow
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
60

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataproc
Data Catalog
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
61

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataflow
Cloud Dataproc
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
62

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
BigQuery
Cloud Dataproc
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
63

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Catalog
Cloud Dataproc
Cloud Dataflow
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
64

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
Dataprep
Looker
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
65

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Data Catalog
Looker
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
66

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataproc
Looker
Dataprep
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
67

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Fusion
Looker
BigQuery
Cloud Pub/Sub
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
68

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
Dataprep
BigQuery
Cloud Dataproc
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
69

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
BigQuery
Data Catalog
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
70

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
Looker
Data Catalog
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
71

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Data Catalog
Cloud Dataflow
Cloud Dataproc
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
72

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Fusion
Cloud Pub/Sub
Data Catalog
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
73

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Dataprep
Data Catalog
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
74

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataproc
Dataprep
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
75

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Data Catalog
Cloud Dataflow
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
76

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Catalog
BigQuery
Cloud Dataproc
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
77

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Pub/Sub
Looker
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
78

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataflow
Data Catalog
Dataprep
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
79

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataflow
Cloud Dataproc
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
80

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataflow
Looker
Data Catalog
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
81

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Dataprep
Data Fusion
BigQuery
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
82

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Fusion
BigQuery
Looker
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
83

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
Looker
Cloud Pub/Sub
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
84

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Dataprep
BigQuery
Cloud Dataflow
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
85

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Pub/Sub
Data Fusion
Data Catalog
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
86

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Dataprep
Cloud Dataflow
Cloud Pub/Sub
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
87

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataproc
Dataprep
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
88

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Dataprep
Cloud Dataproc
BigQuery
Data Catalog
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
89

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Looker
BigQuery
Dataprep
Cloud Dataproc
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
90

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
BigQuery
Looker
Cloud Dataproc
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
91

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Data Fusion
Data Catalog
Dataprep
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
92

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Pub/Sub
Looker
Data Fusion
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
93

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
Data Fusion
BigQuery
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
94

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Looker
Cloud Pub/Sub
Cloud Dataproc
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
95

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataproc
Cloud Dataflow
Data Fusion
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
96

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Looker
Cloud Dataproc
Cloud Dataflow
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
97

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Dataprep
Looker
Cloud Dataproc
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
98

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Looker
Dataprep
Cloud Pub/Sub
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
99

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Data Catalog
Cloud Dataflow
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
100

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Looker
Data Fusion
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
101

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataproc
Data Fusion
Dataprep
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
102

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Fusion
Data Catalog
Cloud Dataproc
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
103

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Looker
BigQuery
Cloud Pub/Sub
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
104

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataproc
Looker
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
105

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataproc
Data Catalog
Cloud Dataflow
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
106

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataproc
Cloud Pub/Sub
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
107

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Looker
Data Fusion
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
108

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Pub/Sub
Cloud Dataflow
Data Catalog
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
109

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Data Catalog
Looker
Dataprep
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
110

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataproc
Data Catalog
Cloud Dataflow
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
111

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
BigQuery
Cloud Dataproc
Cloud Pub/Sub
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
112

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Looker
Dataprep
Cloud Dataproc
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
113

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataproc
Cloud Dataflow
Data Catalog
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
114

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Looker
Data Fusion
Cloud Dataproc
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
115

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataproc
BigQuery
Cloud Pub/Sub
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
116

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Fusion
Cloud Dataflow
BigQuery
Data Catalog
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
117

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataproc
Cloud Dataflow
Cloud Pub/Sub
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
118

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Pub/Sub
Looker
Cloud Dataproc
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
119

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Catalog
Looker
BigQuery
Cloud Pub/Sub
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
120

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Cloud Dataproc
Looker
Cloud Dataflow
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
121

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
Data Catalog
BigQuery
Looker
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
122

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Data Fusion
Cloud Dataflow
Cloud Dataproc
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
123

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

BigQuery
Dataprep
Looker
Data Fusion
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
124

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Dataprep
Cloud Dataflow
Data Fusion
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
125

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataproc
Cloud Pub/Sub
Data Fusion
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
126

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Dataprep
BigQuery
Data Fusion
Data Catalog
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
127

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Looker
Cloud Dataproc
Cloud Dataflow
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
128

You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?

Cloud Dataflow
Cloud Pub/Sub
Dataprep
BigQuery
View Explanation
✓ Correct Answer: BigQueryExplanation:BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.