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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

Submitted by mike_84· Mar 6, 2026Cloud Technology and Services

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)
  • A
    2% (1)
  • B
    7% (3)
  • C
    89% (41)
  • D
    2% (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.

Topics

#Data Warehousing#Amazon Redshift#AWS Database Services

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