- A
Amazon Kinesis Data Firehose with a Lambda transformation.
Why wrong: Option A (Amazon Kinesis Data Firehose with a Lambda transformation) is primarily for loading data and has limitations for complex transformations, and it does not support native Parquet output without additional configuration.
- B
Amazon EMR running Apache Spark Streaming.
Why wrong: Option B (Amazon EMR running Apache Spark Streaming) can work but adds management overhead and is not the simplest managed service for this specific use case.
- C
Amazon Kinesis Data Analytics for Apache Flink.
Option C is correct because Amazon Kinesis Data Analytics for Apache Flink is a serverless service that can run Apache Flink applications to perform real-time transformations on streaming data and can output to Kinesis Data Firehose for delivery to S3 in Parquet format.
- D
AWS Lambda with a Kinesis trigger.
Why wrong: Option D (AWS Lambda with a Kinesis trigger) is suitable for lightweight transformations but may hit execution time limits for complex or long-running transformations and does not natively handle Parquet conversion without additional libraries.
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 company is streaming data from an application to Amazon Kinesis Data Streams. The data must be transformed in real time and then stored in Amazon S3 in Parquet format. Which AWS service should be used for the transformation step?
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 C is correct because Amazon Kinesis Data Analytics for Apache Flink is a serverless service that can run Apache Flink applications to perform real-time transformations on streaming data. Option A (Amazon Kinesis Data Firehose with a Lambda transformation) is primarily for loading data and has limitations for complex transformations. Option B (Amazon EMR running Apache Spark Streaming) can work but adds management overhead and is not the simplest managed service. Option D (AWS Lambda with a Kinesis trigger) is suitable for lightweight transformations but may hit execution time limits for complex or long-running transformations.
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.
- ✗
Amazon Kinesis Data Firehose with a Lambda transformation.
Why it's wrong here
Option A (Amazon Kinesis Data Firehose with a Lambda transformation) is primarily for loading data and has limitations for complex transformations, and it does not support native Parquet output without additional configuration.
- ✗
Amazon EMR running Apache Spark Streaming.
Why it's wrong here
Option B (Amazon EMR running Apache Spark Streaming) can work but adds management overhead and is not the simplest managed service for this specific use case.
- ✓
Amazon Kinesis Data Analytics for Apache Flink.
Why this is correct
Option C is correct because Amazon Kinesis Data Analytics for Apache Flink is a serverless service that can run Apache Flink applications to perform real-time transformations on streaming data and can output to Kinesis Data Firehose for delivery to S3 in Parquet format.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Lambda with a Kinesis trigger.
Why it's wrong here
Option D (AWS Lambda with a Kinesis trigger) is suitable for lightweight transformations but may hit execution time limits for complex or long-running transformations and does not natively handle Parquet conversion without additional libraries.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Command / output trap
Option A (Amazon Kinesis Data Firehose with a Lambda transformation) is primarily for loading data and has limitations for complex transformations, and it does not support native Parquet output without additional configuration.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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.
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Kinesis Data Analytics for Apache Flink. — Option C is correct because Amazon Kinesis Data Analytics for Apache Flink is a serverless service that can run Apache Flink applications to perform real-time transformations on streaming data. Option A (Amazon Kinesis Data Firehose with a Lambda transformation) is primarily for loading data and has limitations for complex transformations. Option B (Amazon EMR running Apache Spark Streaming) can work but adds management overhead and is not the simplest managed service. Option D (AWS Lambda with a Kinesis trigger) is suitable for lightweight transformations but may hit execution time limits for complex or long-running transformations.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 20, 2026
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