AWS Serverless Data Integration Service for Analytics and ML
A company wants to discover, prepare, move, and integrate data from multiple sources for data analytics and machine learning. Which AWS serverless data integration service should the company use to meet these requirements?
Community Votes
100% of anonymous learners picked answer A. Votes are pick records left by other test-takers — they are not the verified answer.
Community Insight
The question tests the specific definition of AWS Glue as a serverless ETL (Extract, Transform, Load) service versus other data services like Athena or EMR.
AWS Glue is the serverless data integration service designed to discover, prepare, and integrate data from multiple sources for analytics and machine learning.
Candidates often confuse AWS Glue with Amazon Athena (querying) or Amazon EMR (managed clusters), failing to recognize that Glue is the dedicated serverless integration layer.
Community Discussion (5 comments)
Comments & Corrections
No comments yet — spotted an error or have a note? Share it below.
Expert Analysis
Why the Answer Is Correct
AWS Glue is specifically defined by AWS as a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. It supports discovering, preparing, and integrating data from multiple sources, which aligns perfectly with the scenario's requirements for analytics and machine learning workloads.Why the Other Options Are Wrong
Amazon Athena (C) is an interactive query service for analyzing data in S3 using SQL, not a full ETL pipeline. Amazon EMR (D) is a managed cluster platform for big data frameworks like Hadoop and Spark; while powerful, it is not inherently 'serverless' in the same way Glue is (it manages clusters). AWS Data Exchange (B) is for subscribing to third-party data, not for internal data preparation and integration.Community Comment Notes
The community consensus strongly supports AWS Glue. Users noted that Glue is the go-to ETL service for these tasks. As one user paraphrased, 'AWS Glue -> ETL service for analytics,' highlighting the direct association between Glue and the ETL process required here.Exam Strategy
Focus on the keywords 'serverless' and 'data integration/ETL'. If the question mentions moving and preparing data without specifying a cluster management component, Glue is usually the correct answer over EMR.
Frequently Asked Questions
Why is Amazon EMR not considered serverless here?
EMR manages EC2 instances/clusters, whereas Glue runs on a fully managed serverless infrastructure without requiring you to provision servers.
What is the difference between Glue and Athena?
Glue is for ETL (preparing/moving data), while Athena is for ad-hoc querying of existing data in S3 using SQL.
Related Analysis
Practice All CLF-C02 Questions
Access 120 questions with complete answers and detailed explanations.
View Full CLF-C02 Practice Test →