- A
Set the BufferIntervalInSeconds to 60 seconds.
Controls how often data is delivered.
- B
Enable S3 compression (e.g., GZIP) on the delivery stream.
Why wrong: Compression does not affect frequency.
- C
Enable Amazon CloudWatch error logging for the delivery stream.
Why wrong: Logging does not reduce latency.
- D
Enable data format conversion to Parquet using AWS Glue.
Why wrong: Conversion is a transformation, not delivery trigger.
- E
Set the BufferSizeInMBs to 1 MB.
Small buffer size triggers early delivery.
Question 1,539 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
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 real-time user activity logs. The logs are generated by a web application and must be ingested into Amazon S3 with minimal latency (under 1 minute). The logs also need to be queried in Amazon Athena. The engineer considers using Amazon Kinesis Data Firehose. Which TWO configurations are required to achieve near-real-time delivery to S3? (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
✓
Set the BufferIntervalInSeconds to 60 seconds.
Option A is correct because setting BufferIntervalInSeconds to 60 seconds forces Kinesis Data Firehose to deliver data to S3 every 60 seconds, meeting the sub-1-minute latency requirement. Option E is correct because setting BufferSizeInMBs to 1 MB ensures that the buffer fills quickly and triggers delivery when the buffer reaches 1 MB, which, combined with the time-based trigger, minimizes latency.
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.
- ✓
Set the BufferIntervalInSeconds to 60 seconds.
Why this is correct
Controls how often data is delivered.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable S3 compression (e.g., GZIP) on the delivery stream.
Why it's wrong here
Compression does not affect frequency.
- ✗
Enable Amazon CloudWatch error logging for the delivery stream.
Why it's wrong here
Logging does not reduce latency.
- ✗
Enable data format conversion to Parquet using AWS Glue.
Why it's wrong here
Conversion is a transformation, not delivery trigger.
- ✓
Set the BufferSizeInMBs to 1 MB.
Why this is correct
Small buffer size triggers early delivery.
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 features that improve query performance or monitoring (compression, Parquet conversion, CloudWatch logging) with features that directly control delivery latency, leading them to select those options instead of the buffer configuration parameters.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose uses two independent buffer triggers: a size-based trigger (BufferSizeInMBs, default 5 MB, range 1–128 MB) and a time-based trigger (BufferIntervalInSeconds, default 300 seconds, range 60–900 seconds). The first trigger to be satisfied initiates delivery, so setting both to their minimum values (1 MB and 60 seconds) ensures near-real-time delivery. In practice, if the incoming data rate is very low, the 60-second interval will be the primary trigger; if the data rate spikes, the 1 MB buffer will fill quickly and trigger delivery sooner than 60 seconds.
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: Set the BufferIntervalInSeconds to 60 seconds. — Option A is correct because setting BufferIntervalInSeconds to 60 seconds forces Kinesis Data Firehose to deliver data to S3 every 60 seconds, meeting the sub-1-minute latency requirement. Option E is correct because setting BufferSizeInMBs to 1 MB ensures that the buffer fills quickly and triggers delivery when the buffer reaches 1 MB, which, combined with the time-based trigger, minimizes latency.
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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