- A
Amazon Kinesis Data Firehose
Why wrong: Cannot directly enrich from DynamoDB.
- B
Amazon Kinesis Data Analytics for Apache Flink
Performs stream enrichment with DynamoDB lookups.
- C
Amazon Kinesis Data Streams
Ingests high-throughput clickstream data.
- D
AWS Lambda with DynamoDB Accelerator (DAX)
Why wrong: Lambda can enrich but DAX is not needed; Lambda concurrency may be a bottleneck.
- E
AWS Glue Streaming ETL
Why wrong: Glue streaming is more suited for batch-oriented transformations.
Quick Answer
The answer is Amazon Kinesis Data Streams combined with Kinesis Data Analytics for Apache Flink. This pairing is correct because Kinesis Data Streams ingests the clickstream data in near real time, while Kinesis Data Analytics for Apache Flink performs stream enrichment by looking up user metadata from a DynamoDB table during processing, enabling the enriched data to be written to S3. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of streaming enrichment patterns versus batch or Lambda-based approaches; a common trap is choosing Lambda for enrichment, but Lambda’s concurrency limits make it unsuitable for high-throughput streaming, whereas Flink’s stateful processing handles DynamoDB lookups efficiently. For a memory tip, think “Stream + Flink = DynamoDB enrich” to recall that Flink is the only AWS service that natively enriches streaming data with DynamoDB lookups without scaling bottlenecks.
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 near-real-time streaming pipeline to ingest clickstream data from a web application. The data must be enriched with user metadata from a DynamoDB table before being stored in S3. Which combination of AWS services should the engineer use? (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
Amazon Kinesis Data Analytics for Apache Flink
Option A and Option C are correct because Kinesis Data Streams ingests the clickstream, and Kinesis Data Analytics for Apache Flink can enrich streams with DynamoDB lookups. Option B is wrong because Lambda can enrich but is limited by concurrency. Option D is wrong because Firehose can transform via Lambda but not DynamoDB enrichment directly. Option E is wrong because Glue is batch, not streaming.
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 Firehose
Why it's wrong here
Cannot directly enrich from DynamoDB.
- ✓
Amazon Kinesis Data Analytics for Apache Flink
Why this is correct
Performs stream enrichment with DynamoDB lookups.
Related concept
Static NAT maps one inside address to one outside address.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Ingests high-throughput clickstream data.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
AWS Lambda with DynamoDB Accelerator (DAX)
Why it's wrong here
Lambda can enrich but DAX is not needed; Lambda concurrency may be a bottleneck.
- ✗
AWS Glue Streaming ETL
Why it's wrong here
Glue streaming is more suited for batch-oriented transformations.
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.
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Data Ingestion and Transformation — study guide chapter
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Data Ingestion and Transformation practice questions
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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 — 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 Analytics for Apache Flink — Option A and Option C are correct because Kinesis Data Streams ingests the clickstream, and Kinesis Data Analytics for Apache Flink can enrich streams with DynamoDB lookups. Option B is wrong because Lambda can enrich but is limited by concurrency. Option D is wrong because Firehose can transform via Lambda but not DynamoDB enrichment directly. Option E is wrong because Glue is batch, not streaming.
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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Last reviewed: Jun 20, 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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