DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 engineering team is responsible for ingesting streaming data from a fleet of IoT devices into Amazon S3 using Kinesis Data Firehose. The data volume spikes unpredictably, and the team has configured Kinesis Data Firehose with a buffer size of 5 MB and buffer interval of 60 seconds. During spikes, the team notices that the delivery to S3 is delayed, and some records are lost due to exceeding the service limits. The team needs to ensure no data loss and reduce delivery latency. What should the team do?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase the buffer size to 10 MB and buffer interval to 120 seconds to allow more data accumulation before delivery.
Option A is correct because increasing the buffer size and interval reduces the number of PutRecord.Batch calls and allows Firehose to handle larger spikes without throttling. Option B is wrong because using Kinesis Data Streams as a source adds a buffer but does not directly fix Firehose delivery issues. Option C is wrong because Lambda cannot directly increase Firehose throughput. Option D is wrong because S3 Transfer Acceleration improves upload speed from clients, not Firehose delivery.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Implement an AWS Lambda function to pre-process the data and send it to Firehose in a throttled manner.
Why it's wrong here
Does not increase Firehose capacity; may introduce additional delays.
✓
Increase the buffer size to 10 MB and buffer interval to 120 seconds to allow more data accumulation before delivery.
Why this is correct
Larger buffers reduce the frequency of delivery calls and help handle spikes.
Related concept
Static NAT maps one inside address to one outside address.
✗
Use Amazon Kinesis Data Streams as the data source for Firehose to decouple ingestion and delivery.
Why it's wrong here
Adds complexity and cost; does not address Firehose delivery limits.
✗
Enable S3 Transfer Acceleration on the destination bucket.
Why it's wrong here
Accelerates uploads from clients, not Firehose-to-S3 delivery.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Increase the buffer size to 10 MB and buffer interval to 120 seconds to allow more data accumulation before delivery. — Option A is correct because increasing the buffer size and interval reduces the number of PutRecord.Batch calls and allows Firehose to handle larger spikes without throttling. Option B is wrong because using Kinesis Data Streams as a source adds a buffer but does not directly fix Firehose delivery issues. Option C is wrong because Lambda cannot directly increase Firehose throughput. Option D is wrong because S3 Transfer Acceleration improves upload speed from clients, not Firehose delivery.
What should I do if I get this DEA-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Question Discussion
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