This SAP-C02 practice question tests your understanding of design solutions for organizational complexity. 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 implement a data lake on AWS with data from multiple sources. They need to store data in its raw format and allow multiple teams to query it using different tools. Which service should be used as the central storage layer?
Amazon DynamoDB
Why wrong: DynamoDB is for key-value workloads, not large-scale data lakes.
Amazon Redshift
Why wrong: Redshift is for structured data and is not raw storage.
Amazon S3
S3 is the foundational storage service for data lakes.
Amazon RDS
Why wrong: RDS is for transactional workloads, not data lakes.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon S3
Amazon S3 is the correct choice because it provides a highly durable, scalable, and cost-effective object storage service that can store data in its raw, native format (e.g., CSV, JSON, Parquet, images). It supports multiple query engines like Amazon Athena, Amazon Redshift Spectrum, and AWS Glue, allowing diverse teams to query the same data using different tools without data movement.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon DynamoDB
Why it's wrong here
DynamoDB is for key-value workloads, not large-scale data lakes.
Amazon Redshift
Why it's wrong here
Redshift is for structured data and is not raw storage.
Amazon S3
Why this is correct
S3 is the foundational storage service for data lakes.
Related concept
Read the scenario before looking for a memorised answer.
Amazon RDS
Why it's wrong here
RDS is for transactional workloads, not data lakes.
Common exam traps
The trap here is that candidates often confuse a data lake's raw storage layer with a data warehouse (Redshift) or a transactional database (RDS, DynamoDB), failing to recognize that a data lake requires schema-on-read, object storage, and multi-engine query support, which only S3 provides.
Detailed technical explanation
Amazon S3's eventual consistency model (read-after-write for PUTS of new objects, but eventual for overwrites) is critical for data lake workloads where multiple teams may concurrently write and read raw data. S3 also supports server-side encryption (SSE-S3, SSE-KMS, SSE-C) and object-level ACLs, enabling fine-grained access control for different teams. The S3 Select and S3 Glacier Instant Retrieval features further optimize cost and performance for specific query patterns.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
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FAQ
Design Solutions for Organizational Complexity — This question tests Design Solutions for Organizational Complexity — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon S3 — Amazon S3 is the correct choice because it provides a highly durable, scalable, and cost-effective object storage service that can store data in its raw, native format (e.g., CSV, JSON, Parquet, images). It supports multiple query engines like Amazon Athena, Amazon Redshift Spectrum, and AWS Glue, allowing diverse teams to query the same data using different tools without data movement.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This SAP-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 SAP-C02 exam.
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