Correct Answer: Redshift is OLAP (Columnar) while RDS is OLTP (Row-based)
Redshift is optimized for Online Analytical Processing (OLAP) workflows, while RDS is optimized for Online Transactional Processing (OLTP)....
Correct Answer
Redshift is OLAP (Columnar) while RDS is OLTP (Row-based)
Why This Answer Is Correct
Redshift is optimized for Online Analytical Processing (OLAP) workflows, while RDS is optimized for Online Transactional Processing (OLTP).
This question evaluates your knowledge of Amazon Redshift — a core concept tested in AWS Certified Cloud Practitioner (CLF-C02). Understanding Amazon Redshift is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
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?
Which AWS service is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL?
Which feature of Amazon Redshift allows you to run SQL queries directly against exabytes of data in Amazon S3 without having to load it into the Redshift cluster?
You want to perform data warehousing operations but don't want to manage or scale data warehouse clusters manually. Which Amazon Redshift option should you choose?
Which AWS tool can you use to visualize and create interactive dashboards from data stored in Amazon Redshift?