CLF-C02 Cloud Technology and Services Practice Question
Which AWS service is a fully managed data warehousing service optimized for online analytical processing (OLAP) of large datasets?
⚠ Common exam trap
Many exam-takers confuse OLTP services (RDS, Aurora, DynamoDB) with OLAP services, mistakenly thinking any database can handle large-scale analytics, but AWS specifically positions Redshift as the only fully managed data warehouse for OLAP workloads.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Redshift
Amazon Redshift is a fully managed, petabyte-scale data warehouse service designed specifically for online analytical processing (OLAP) of large datasets. It uses columnar storage, massively parallel processing (MPP), and data compression to deliver fast query performance on structured and semi-structured data, making it the correct choice for OLAP workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon RDS
Why it's wrong here
Amazon RDS is a managed service that supports multiple relational database engines (e.g., MySQL, PostgreSQL, Oracle, SQL Server) and is geared toward OLTP workloads such as web and mobile applications. While RDS can handle moderate analytics, it cannot scale to petabytes efficiently; its architecture does not use columnar storage or MPP, resulting in slower performance for complex analytical queries across huge data volumes. RDS is a general-purpose transactional database service, not a purpose-built data warehouse, making it incorrect for this requirement.
- ✗
Amazon DynamoDB
Why it's wrong here
Amazon DynamoDB is a NoSQL key-value and document database built for low-latency, high-traffic transactional applications, with serverless scaling and single-digit millisecond performance. It is not designed for analytical workloads because it lacks native SQL support for complex joins, ad-hoc queries, and large-scale aggregations, and its data model does not employ columnar storage or MPP for warehousing. Using DynamoDB for petabyte-scale business intelligence would be impractical, so it is not the correct answer here.
- ✓
Amazon Redshift
Why this is correct
Amazon Redshift is AWS's fully managed, petabyte-scale cloud data warehouse, explicitly built for online analytical processing (OLAP). It uses columnar storage, massively parallel processing (MPP) across clusters, and query optimization for fast execution of complex SQL aggregations and joins over structured data. Redshift integrates with BI tools and can query data directly in S3 via Redshift Spectrum, making it the unequivocal correct choice for this scenario.
- ✗
Amazon Aurora
Why it's wrong here
Amazon Aurora is a fully managed relational database engine designed for online transaction processing (OLTP), offering high availability and performance with MySQL and PostgreSQL compatibility. It stores data in a row-based format optimized for frequent, small read/write operations, not the columnar storage and massively parallel processing (MPP) architecture required for petabyte-scale analytical queries. Aurora is the wrong choice for this data warehousing scenario because it lacks the query optimization and storage engine needed to run complex aggregations over massive datasets.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CLF-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CLF-C02 exam.