- A
Increase the AWS Glue job timeout and allocate more DPUs.
Why wrong: Glue job timeout does not prevent data loss during Firehose ingestion.
- B
Configure Kinesis Data Firehose to back up all data to S3 in case of delivery failures.
S3 backup for failed records ensures no data loss.
- C
Increase the number of nodes in the Redshift cluster to handle higher load.
Why wrong: Redshift capacity does not affect Firehose ingestion.
- D
Increase the S3 bucket size limit and enable versioning.
Why wrong: Bucket size limits are not a concern; versioning helps with accidental deletion but not with Firehose failures.
Question 1,038 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 pipeline uses Amazon Kinesis Data Firehose to ingest log data from web servers and deliver it to Amazon S3. The data is then transformed by an AWS Glue job before being loaded into Amazon Redshift. The pipeline must handle a sudden spike in log volume without data loss. Which configuration change is MOST appropriate?
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
✓
Configure Kinesis Data Firehose to back up all data to S3 in case of delivery failures.
Option B is correct because Kinesis Data Firehose can be configured to back up all data to Amazon S3 in case of delivery failures, ensuring no data loss during spikes. This feature writes incoming data to a separate S3 bucket as a safety net when the primary destination (e.g., Redshift via Glue) is unavailable or overwhelmed, directly addressing the requirement to handle sudden volume spikes without data loss.
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.
- ✗
Increase the AWS Glue job timeout and allocate more DPUs.
Why it's wrong here
Glue job timeout does not prevent data loss during Firehose ingestion.
- ✓
Configure Kinesis Data Firehose to back up all data to S3 in case of delivery failures.
Why this is correct
S3 backup for failed records ensures no data loss.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the number of nodes in the Redshift cluster to handle higher load.
Why it's wrong here
Redshift capacity does not affect Firehose ingestion.
- ✗
Increase the S3 bucket size limit and enable versioning.
Why it's wrong here
Bucket size limits are not a concern; versioning helps with accidental deletion but not with Firehose failures.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse downstream scaling (Redshift or Glue) with ingestion-layer fault tolerance, overlooking that Kinesis Data Firehose’s S3 backup directly addresses data loss at the point of delivery failure.
Detailed technical explanation
How to think about this question
Under the hood, Kinesis Data Firehose’s S3 backup for failed deliveries works by writing data to a designated S3 prefix (e.g., `firehose-backup/`) when the primary destination returns errors or throttles, using a configurable retry interval (default 300 seconds) before falling back. This is distinct from the 'S3 backup for all data' option, which duplicates every record to S3 regardless of delivery status, providing a complete audit trail. In real-world scenarios, a sudden traffic spike from a marketing campaign could overwhelm Redshift’s COPY command, and this backup ensures data is recoverable from S3 without reprocessing the source.
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: Configure Kinesis Data Firehose to back up all data to S3 in case of delivery failures. — Option B is correct because Kinesis Data Firehose can be configured to back up all data to Amazon S3 in case of delivery failures, ensuring no data loss during spikes. This feature writes incoming data to a separate S3 bucket as a safety net when the primary destination (e.g., Redshift via Glue) is unavailable or overwhelmed, directly addressing the requirement to handle sudden volume spikes without data loss.
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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