- A
AWS Lambda
Why wrong: Lambda could transform but Firehose natively supports Parquet conversion.
- B
Amazon Athena
Why wrong: Athena is for querying, not ingestion.
- C
Amazon Kinesis Data Streams
Provides low-latency ingestion.
- D
AWS Glue
Why wrong: Glue is batch, not real-time.
- E
Amazon Kinesis Data Firehose
Converts to Parquet and delivers to S3.
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 streaming data from IoT devices. The devices send JSON messages every second. The engineer needs to ingest the data with low latency and store it in Amazon S3 in Parquet format. Which TWO services should the engineer use together?
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 Streams
Options B and D are correct. Kinesis Data Streams provides low-latency ingestion, and Kinesis Data Firehose can convert data to Parquet and deliver to S3. Option A (Glue) is batch-oriented. Option C (Athena) is for querying. Option E (Lambda) can be used but is not required for the conversion; Firehose can do it natively.
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.
- ✗
AWS Lambda
Why it's wrong here
Lambda could transform but Firehose natively supports Parquet conversion.
- ✗
Amazon Athena
Why it's wrong here
Athena is for querying, not ingestion.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Provides low-latency ingestion.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
AWS Glue
Why it's wrong here
Glue is batch, not real-time.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Converts to Parquet 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 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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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 Streams — Options B and D are correct. Kinesis Data Streams provides low-latency ingestion, and Kinesis Data Firehose can convert data to Parquet and deliver to S3. Option A (Glue) is batch-oriented. Option C (Athena) is for querying. Option E (Lambda) can be used but is not required for the conversion; Firehose can do it natively.
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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