CLF-C02 · Question #155
Which AWS service is designed to help users handle large amounts of data in a data warehouse environment?
The correct answer is C. Amazon Redshift. Amazon Redshift is AWS's purpose-built data warehouse service, designed for analytical workloads (OLAP) on petabyte-scale datasets using columnar storage and massively parallel processing - exactly what a data warehouse environment demands. Why the distractors are wrong: A. Amazo
Question
Which AWS service is designed to help users handle large amounts of data in a data warehouse environment?
Options
- AAmazon RDS
- BAmazon DynamoDB
- CAmazon Redshift
- DAmazon Aurora
How the community answered
(46 responses)- A2% (1)
- B7% (3)
- C89% (41)
- D2% (1)
Explanation
Amazon Redshift is AWS's purpose-built data warehouse service, designed for analytical workloads (OLAP) on petabyte-scale datasets using columnar storage and massively parallel processing - exactly what a data warehouse environment demands.
Why the distractors are wrong:
- A. Amazon RDS - A relational database service for transactional (OLTP) workloads; not optimized for large-scale analytics.
- B. Amazon DynamoDB - A NoSQL key-value/document database built for low-latency, high-throughput operations, not analytical querying across massive datasets.
- D. Amazon Aurora - A high-performance relational database (MySQL/PostgreSQL-compatible) also focused on OLTP, not data warehousing.
Memory tip: Think of the "Red" in Redshift as standing for Reporting on Enormous Data - it's the go-to for BI tools, complex SQL queries, and analytics at scale. If the question mentions "data warehouse," "analytics," or "petabyte," the answer is almost always Redshift.
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