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 clickstream data from a mobile app. The data volume varies, with occasional spikes up to 10 MB/s. The pipeline must persist the raw data in Amazon S3 and make it available for near-real-time analytics via Amazon Athena. Which combination of services minimizes cost and operational overhead?
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 direct delivery to Amazon S3, then Amazon Athena
Option C is correct because Firehose can buffer and deliver data to S3 with minimal configuration, and Athena can query directly from S3. Option A (Kinesis Data Streams + Lambda) incurs higher costs and management overhead. Option B (SQS + EC2) requires managing EC2 instances and auto-scaling. Option D (Kinesis Data Streams + Kinesis Data Analytics) adds complexity and cost.
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.
✗
Amazon Kinesis Data Streams with Amazon Kinesis Data Analytics, then Amazon S3
Why it's wrong here
Overkill for simple persistence; adds unnecessary cost.
✗
Amazon SQS with an Auto Scaling group of EC2 instances writing to Amazon S3
Why it's wrong here
Requires managing EC2 and scaling policies.
✗
Amazon Kinesis Data Streams with AWS Lambda for transformation, then Amazon S3
Why it's wrong here
Kinesis Data Streams has per-shard costs and Lambda adds complexity.
✓
Amazon Kinesis Data Firehose with direct delivery to Amazon S3, then Amazon Athena
Why this is correct
Firehose is fully managed, scales automatically, and delivers to S3.
Related concept
Static NAT maps one inside address to one outside address.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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: Amazon Kinesis Data Firehose with direct delivery to Amazon S3, then Amazon Athena — Option C is correct because Firehose can buffer and deliver data to S3 with minimal configuration, and Athena can query directly from S3. Option A (Kinesis Data Streams + Lambda) incurs higher costs and management overhead. Option B (SQS + EC2) requires managing EC2 instances and auto-scaling. Option D (Kinesis Data Streams + Kinesis Data Analytics) adds complexity and cost.
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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