- A
Amazon Kinesis Data Firehose
Firehose can ingest streaming data and deliver to S3 near real-time.
- B
Amazon Kinesis Data Streams
Data Streams can ingest streaming data; a consumer like Lambda can write to S3.
- C
Amazon DynamoDB Streams
Why wrong: DynamoDB Streams captures changes in DynamoDB, not from mobile apps.
- D
AWS Glue
Why wrong: Glue is for batch ETL, not real-time ingestion.
- E
Amazon SQS
Why wrong: SQS is a message queue; it does not directly deliver to S3.
Question 1,220 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 TWO AWS services can be used to ingest streaming data from a mobile application into Amazon S3 for near-real-time analytics? (Choose 2.)
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 Firehose
Amazon Kinesis Data Firehose is the correct choice because it is a fully managed service designed to load streaming data directly into Amazon S3, Redshift, Elasticsearch, or Splunk without requiring custom code. It can capture and transform streaming data from mobile applications in near-real-time and automatically deliver it to S3, making it ideal for near-real-time analytics pipelines.
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 Kinesis Data Firehose
Why this is correct
Firehose can ingest streaming data and deliver to S3 near real-time.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Data Streams can ingest streaming data; a consumer like Lambda can write to S3.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon DynamoDB Streams
Why it's wrong here
DynamoDB Streams captures changes in DynamoDB, not from mobile apps.
- ✗
AWS Glue
Why it's wrong here
Glue is for batch ETL, not real-time ingestion.
- ✗
Amazon SQS
Why it's wrong here
SQS is a message queue; it does not directly deliver to S3.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The DEA-C01 exam often tests the distinction between managed ingestion (Firehose) and raw stream processing (Data Streams), and the trap here is that candidates may incorrectly choose DynamoDB Streams or SQS because they associate 'streaming' with any service containing 'stream' or 'queue', without understanding that DynamoDB Streams only captures internal table changes and SQS requires custom code to write to S3.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose uses a buffering mechanism (configurable from 1 to 900 seconds or 1 to 128 MB) to batch records before writing to S3, which balances near-real-time latency with cost efficiency. Kinesis Data Streams, on the other hand, provides a low-latency, durable stream with shard-level scaling, but requires a separate consumer (e.g., Lambda or Kinesis Data Analytics) to write to S3, making it a two-step ingestion pattern. In practice, mobile apps often send data via API Gateway to Kinesis Data Streams for real-time processing, then use Firehose for direct S3 delivery when analytics latency of a few seconds is acceptable.
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 DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Kinesis Data Firehose — Amazon Kinesis Data Firehose is the correct choice because it is a fully managed service designed to load streaming data directly into Amazon S3, Redshift, Elasticsearch, or Splunk without requiring custom code. It can capture and transform streaming data from mobile applications in near-real-time and automatically deliver it to S3, making it ideal for near-real-time analytics pipelines.
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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