- A
Amazon ElastiCache
Why wrong: ElastiCache is an in-memory cache, not durable storage.
- B
Amazon Kinesis Data Streams
Ingests streaming data in real-time.
- C
Amazon Redshift
Why wrong: Redshift is for data warehousing, not raw storage.
- D
Amazon DynamoDB
Why wrong: DynamoDB is for low-latency queries, not cost-effective bulk storage.
- E
Amazon S3
S3 provides durable and cost-effective storage.
Question 188 of 1,786
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. 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 is building a data pipeline that ingests streaming data from IoT devices. The data must be stored in a durable, scalable, and cost-effective manner for batch processing. Which TWO AWS services should be used together?
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 Kinesis Data Streams
Amazon Kinesis Data Streams (B) is the correct ingestion service for streaming IoT data because it provides a durable, scalable, and real-time data streaming platform that can capture and store data records for up to 365 days. Amazon S3 (E) is the correct storage service for batch processing because it offers virtually unlimited durability (99.999999999%), cost-effective tiered storage, and native integration with batch processing frameworks like Amazon EMR and AWS Glue. Together, they form a classic streaming-to-batch pipeline: Kinesis ingests and buffers the streaming data, which is then persisted in S3 for downstream batch analytics.
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 ElastiCache
Why it's wrong here
ElastiCache is an in-memory cache, not durable storage.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Ingests streaming data in real-time.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Redshift
Why it's wrong here
Redshift is for data warehousing, not raw storage.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB is for low-latency queries, not cost-effective bulk storage.
- ✓
Amazon S3
Why this is correct
S3 provides durable and cost-effective storage.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon Kinesis Data Streams with Amazon Kinesis Data Firehose (which directly writes to S3) or mistakenly choose Amazon Redshift for storage, overlooking that S3 is the correct durable and cost-effective storage layer for raw streaming data before any warehousing.
Detailed technical explanation
How to think about this question
Under the hood, Kinesis Data Streams uses shards to scale ingestion throughput, where each shard supports 1 MB/s write and 2 MB/s read, and data is replicated across three Availability Zones for durability. The Kinesis-to-S3 pattern is often implemented using a Kinesis Data Firehose delivery stream, which can automatically batch and compress records (e.g., Parquet or ORC) before writing to S3, reducing storage costs and enabling efficient querying with services like Athena or Redshift Spectrum. A real-world scenario involves IoT sensors sending millions of events per second; Kinesis buffers the data, and S3 provides a cost-effective landing zone for hourly batch ETL jobs.
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 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.
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.
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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 Kinesis Data Streams — Amazon Kinesis Data Streams (B) is the correct ingestion service for streaming IoT data because it provides a durable, scalable, and real-time data streaming platform that can capture and store data records for up to 365 days. Amazon S3 (E) is the correct storage service for batch processing because it offers virtually unlimited durability (99.999999999%), cost-effective tiered storage, and native integration with batch processing frameworks like Amazon EMR and AWS Glue. Together, they form a classic streaming-to-batch pipeline: Kinesis ingests and buffers the streaming data, which is then persisted in S3 for downstream batch analytics.
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: Jul 4, 2026
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