- A
Amazon RDS
Why wrong: RDS is for OLTP workloads with relational databases; it's not optimized for petabyte-scale analytical queries.
- B
Amazon DynamoDB
Why wrong: DynamoDB is a NoSQL database for low-latency transactional workloads, not analytical data warehousing.
- C
Amazon Redshift
Redshift is AWS's cloud data warehouse, optimized for complex analytical queries across petabytes of structured data using columnar storage and MPP.
- D
Amazon Aurora
Why wrong: Aurora is a high-performance relational database for OLTP; it's not a data warehousing solution.
Question 550 of 1,024
CLF-C02 Cloud Technology and Services Practice Question
This CLF-C02 practice question tests your understanding of cloud technology and services. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which AWS service is a fully managed data warehousing service optimized for online analytical processing (OLAP) of large datasets?
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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
RDS is for OLTP workloads with relational databases; it's not optimized for petabyte-scale analytical queries.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB is a NoSQL database for low-latency transactional workloads, not analytical data warehousing.
- ✓
Amazon Redshift
Why this is correct
Redshift is AWS's cloud data warehouse, optimized for complex analytical queries across petabytes of structured data using columnar storage and MPP.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Aurora
Why it's wrong here
Aurora is a high-performance relational database for OLTP; it's not a data warehousing solution.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often 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.
Detailed technical explanation
How to think about this question
Redshift achieves its performance by distributing data across compute nodes using a leader node that coordinates query execution, and it automatically applies columnar compression based on the data type. A real-world scenario is a retail company analyzing billions of sales transactions to generate monthly revenue reports; Redshift can run complex aggregations across terabytes of data in seconds, whereas an OLTP database would struggle with the same query due to row-based storage and lack of parallel execution.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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 |
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this CLF-C02 question test?
Cloud Technology and Services — This question tests Cloud Technology and Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this CLF-C02 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 11, 2026
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.
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