- A
Amazon Kinesis Data Firehose
Reads from the stream and delivers to S3.
- B
Amazon Kinesis Data Streams
Serves as the primary ingestion endpoint.
- C
AWS Lambda function
Consumes from the stream for real-time processing.
- D
Amazon Kinesis Data Analytics
Why wrong: Not required for simple fire-and-forget to S3.
- E
Amazon SQS queue
Why wrong: Unnecessary; Lambda can directly read from Kinesis.
Question 1,632 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 is designing a streaming ingestion pipeline using Amazon Kinesis Data Streams with multiple consumers. The data must be processed by a Lambda function for real-time alerts and also stored in Amazon S3 for historical analysis. Which THREE components are needed to implement this architecture? (Choose THREE.)
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 component because it is the fully managed service designed to load streaming data into Amazon S3 without requiring custom code. It can directly subscribe to a Kinesis Data Stream as its source and automatically buffer, batch, compress, and deliver records to S3 for historical analysis, making it the ideal choice for the storage leg of this architecture.
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
Reads from the stream and delivers to S3.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Serves as the primary ingestion endpoint.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
AWS Lambda function
Why this is correct
Consumes from the stream for real-time processing.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Kinesis Data Analytics
Why it's wrong here
Not required for simple fire-and-forget to S3.
- ✗
Amazon SQS queue
Why it's wrong here
Unnecessary; Lambda can directly read from Kinesis.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon Kinesis Data Analytics as a necessary component for any streaming pipeline, but it is only required when you need to perform real-time analytics on the stream, not for simple data movement to S3.
Detailed technical explanation
How to think about this question
Under the hood, Kinesis Data Firehose uses a configurable buffer interval (default 60 seconds, minimum 60 seconds) and buffer size (default 5 MB, minimum 1 MB) to accumulate records before writing to S3. This batching behavior is critical for cost optimization and throughput, as each S3 PUT operation incurs a cost; a poorly tuned buffer can lead to excessive small files or latency spikes. In real-world scenarios, you might also enable data transformation via a Lambda function within Firehose to convert JSON to Parquet before landing in S3, reducing storage costs and improving query performance.
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.
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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 component because it is the fully managed service designed to load streaming data into Amazon S3 without requiring custom code. It can directly subscribe to a Kinesis Data Stream as its source and automatically buffer, batch, compress, and deliver records to S3 for historical analysis, making it the ideal choice for the storage leg of this architecture.
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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