- A
Amazon DynamoDB
Provides low-latency access for key-value data.
- B
Amazon ElastiCache for Redis
Why wrong: Cache, not durable storage.
- C
Amazon Redshift
Suitable for complex analytical queries on large datasets.
- D
Amazon S3
Why wrong: Doesn't provide single-digit millisecond latency.
- E
Amazon RDS for MySQL
Why wrong: Relational database not optimized for high-velocity key-value data.
Question 399 of 1,786
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 data engineer needs to store event data from IoT devices that arrives in bursts. The data is key-value and requires single-digit millisecond read and write latency. The engineer also needs to run complex analytical queries on the data for reporting. Which TWO services should be used together? (Choose TWO.)
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 DynamoDB
Amazon DynamoDB is correct because it provides single-digit millisecond read and write latency at any scale, making it ideal for IoT event data arriving in bursts. Its key-value data model matches the requirement, and it can serve as the operational data store for fast ingestion while supporting complex analytical queries when integrated with Amazon Redshift.
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 DynamoDB
Why this is correct
Provides low-latency access for key-value data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon ElastiCache for Redis
Why it's wrong here
Cache, not durable storage.
- ✓
Amazon Redshift
Why this is correct
Suitable for complex analytical queries on large datasets.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon S3
Why it's wrong here
Doesn't provide single-digit millisecond latency.
- ✗
Amazon RDS for MySQL
Why it's wrong here
Relational database not optimized for high-velocity key-value data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose ElastiCache for Redis because of its low latency, forgetting that it is not a durable data store for analytical queries, or they pick S3 thinking it can serve as a primary database, ignoring its lack of single-digit millisecond latency for key-value access.
Detailed technical explanation
How to think about this question
DynamoDB uses SSD-backed storage and a distributed hash table to achieve consistent single-digit millisecond latency, with adaptive capacity to handle bursty traffic. Amazon Redshift is a columnar data warehouse that uses massively parallel processing (MPP) and compression to run complex analytical queries on large datasets, and it can ingest data from DynamoDB via streaming or batch exports using AWS Glue or Redshift Spectrum. A common real-world pattern is to use DynamoDB as the operational store for real-time IoT ingestion and then export data to Redshift for historical reporting and analytics.
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.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon DynamoDB — Amazon DynamoDB is correct because it provides single-digit millisecond read and write latency at any scale, making it ideal for IoT event data arriving in bursts. Its key-value data model matches the requirement, and it can serve as the operational data store for fast ingestion while supporting complex analytical queries when integrated with Amazon Redshift.
What should I do if I get this DEA-C01 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 24, 2026
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