- A
Amazon Kinesis Data Streams with AWS Lambda consumer writing to S3.
Why wrong: Lambda may introduce latency and scaling issues at high throughput.
- B
Amazon Kinesis Data Firehose with S3 destination and dynamic partitioning.
Firehose handles bursts and supports partitioning with no custom code.
- C
AWS Glue streaming ETL job reading from Amazon MSK and writing to S3.
Why wrong: Glue streaming ETL is for structured streaming, but MSK adds complexity.
- D
Amazon Kinesis Data Streams with KCL application writing to S3.
Why wrong: KCL requires custom development and management.
Question 148 of 1,786
Exactly-Once Delivery to S3 Using Kinesis Data Firehose Dynamic Partitioning
This DEA-C01 practice question tests your understanding of data ingestion and transformation. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 data ingestion pipeline for clickstream data that arrives in bursts, up to 100 MB/s, and must be processed with exactly-once semantics. The data must be stored in Amazon S3 partitioned by event date and hour. Which combination of services should the engineer use?
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 with S3 destination and dynamic partitioning.
Amazon Kinesis Data Firehose with dynamic partitioning can directly ingest high-velocity clickstream data (up to 100 MB/s bursts) and automatically partition it by event date and hour in S3 with no custom code. It supports exactly-once delivery to S3 when configured with the `S3DestinationConfiguration` and appropriate error handling, meeting the burst throughput and partitioning requirements without managing consumers.
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 Streams with AWS Lambda consumer writing to S3.
Why it's wrong here
Lambda may introduce latency and scaling issues at high throughput.
- ✓
Amazon Kinesis Data Firehose with S3 destination and dynamic partitioning.
Why this is correct
Firehose handles bursts and supports partitioning with no custom code.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Glue streaming ETL job reading from Amazon MSK and writing to S3.
Why it's wrong here
Glue streaming ETL is for structured streaming, but MSK adds complexity.
- ✗
Amazon Kinesis Data Streams with KCL application writing to S3.
Why it's wrong here
KCL requires custom development and management.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Kinesis Data Streams with Lambda (Option A) for real-time processing, overlooking Lambda's throughput limits and the fact that Firehose is purpose-built for high-volume streaming ingestion with automatic partitioning and exactly-once delivery to S3.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose uses a `BufferingHints` configuration (e.g., 1-900 seconds or 1-128 MB) to batch records before writing to S3, and dynamic partitioning evaluates expressions like `event_date` and `event_hour` using inline Lambda functions or custom prefixes. Under the hood, Firehose leverages S3 multipart uploads for resilience, and exactly-once is achieved by tracking the last successful delivery offset and retrying on failures, though duplicates can occur in rare cases if the write succeeds but acknowledgment fails.
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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Data Ingestion and Transformation — study guide chapter
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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 with S3 destination and dynamic partitioning. — Amazon Kinesis Data Firehose with dynamic partitioning can directly ingest high-velocity clickstream data (up to 100 MB/s bursts) and automatically partition it by event date and hour in S3 with no custom code. It supports exactly-once delivery to S3 when configured with the `S3DestinationConfiguration` and appropriate error handling, meeting the burst throughput and partitioning requirements without managing consumers.
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
This DEA-C01 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 DEA-C01 exam.
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