Correct Answer: Migrate to Amazon EMR (Elastic MapReduce) using EMR Serverless
EMR is the managed Hadoop/Spark service in AWS. EMR Serverless allows you to run these frameworks without managing clusters or scaling nodes....
Correct Answer
Migrate to Amazon EMR (Elastic MapReduce) using EMR Serverless
Why This Answer Is Correct
EMR is the managed Hadoop/Spark service in AWS. EMR Serverless allows you to run these frameworks without managing clusters or scaling nodes.
This question evaluates your knowledge of Amazon SageMaker — a core concept tested in AWS Certified Solutions Architect – Professional (SAP-C02). Understanding Amazon SageMaker 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.
Your data science team needs a fully managed environment to build, train, and deploy custom machine learning models using TensorFlow. Which platform provides these end-to-end MLOps capabilities?
An e-commerce company wants to use machine learning to suggest related products to users. Their data is stored in Amazon Aurora and S3. They want to build and deploy this recommendation engine with minimal infrastructure management and support for complex feature engineering. Which platform is best?
A retail company wants to use AI to automatically generate personalized product recommendations for their website users. Which service is specifically built for this use case?
You are building a serverless application using AWS AppSync (GraphQL). You want to ensure that your API can scale to millions of users but also store its persistent data in a way that provides global, multi-region replication. Which database backend should you use?
Which AWS machine learning service allows developers to build, train, and deploy custom models using a variety of frameworks like TensorFlow, PyTorch, and scikit-learn?