- A
Amazon RDS for MySQL
Why wrong: RDS is designed for OLTP workloads — frequent transactional reads and writes. It is not optimised for petabyte-scale analytical queries across large datasets.
- B
Amazon DynamoDB
Why wrong: DynamoDB is a NoSQL key-value and document database optimised for high-throughput, low-latency transactional operations. It does not support complex SQL analytical queries.
- C
Amazon Redshift
Redshift is AWS's managed data warehouse service specifically designed for OLAP. It uses columnar storage and parallel query execution to efficiently run complex SQL queries across petabytes of data and integrates with standard BI tools.
- D
Amazon Aurora
Why wrong: Aurora is a managed relational database compatible with MySQL and PostgreSQL, optimised for OLTP. While it can run analytical queries, it is not designed for petabyte-scale data warehouse workloads.
Quick Answer
The answer is Amazon Redshift, a fully managed, petabyte-scale data warehouse service built for analytical (OLAP) workloads. Unlike transactional databases, Redshift uses columnar storage and massively parallel processing to efficiently query vast historical datasets with standard SQL, and it connects seamlessly to existing BI tools through JDBC and ODBC drivers. On the AWS Certified Cloud Practitioner CLF-C02 exam, this question tests your ability to distinguish between OLTP and OLAP services—a common trap is confusing Redshift with Amazon RDS or Aurora, which are optimized for transactional, not analytical, queries. Remember that Redshift is designed for heavy aggregation and reporting on petabytes of data, while RDS handles smaller, row-based transactions. A simple memory tip: think “Redshift for reporting, RDS for rows.”
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.
A company wants to analyse petabytes of historical sales data using standard SQL queries and connect their existing business intelligence (BI) tools to the data store. The workload is analytical (OLAP), not transactional (OLTP). Which AWS service is designed for this use case?
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 for analytical (OLAP) workloads. It uses standard SQL and integrates directly with popular BI tools via JDBC/ODBC connections, making it ideal for querying large historical datasets and connecting existing business intelligence tools.
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 for MySQL
Why it's wrong here
RDS is designed for OLTP workloads — frequent transactional reads and writes. It is not optimised for petabyte-scale analytical queries across large datasets.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB is a NoSQL key-value and document database optimised for high-throughput, low-latency transactional operations. It does not support complex SQL analytical queries.
- ✓
Amazon Redshift
Why this is correct
Redshift is AWS's managed data warehouse service specifically designed for OLAP. It uses columnar storage and parallel query execution to efficiently run complex SQL queries across petabytes of data and integrates with standard BI tools.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Aurora
Why it's wrong here
Aurora is a managed relational database compatible with MySQL and PostgreSQL, optimised for OLTP. While it can run analytical queries, it is not designed for petabyte-scale data warehouse workloads.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse OLTP databases (like RDS, Aurora, or DynamoDB) with OLAP data warehouses, assuming any SQL-capable service can handle petabyte-scale analytics, but only Redshift is purpose-built for that workload with columnar storage and MPP.
Detailed technical explanation
How to think about this question
Redshift uses columnar storage, which compresses data by column rather than row, drastically reducing I/O for analytical queries that scan many rows but few columns. It also employs a massively parallel processing (MPP) architecture where data is distributed across multiple compute nodes, allowing queries to be executed in parallel for faster results. In real-world scenarios, companies like Netflix and Lyft use Redshift to run complex SQL queries on petabytes of data, connecting Tableau or Looker via standard JDBC/ODBC drivers.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
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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 for analytical (OLAP) workloads. It uses standard SQL and integrates directly with popular BI tools via JDBC/ODBC connections, making it ideal for querying large historical datasets and connecting existing business intelligence tools.
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.
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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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