- A
Use Amazon Kinesis Data Firehose with dynamic partitioning
Firehose can dynamically partition data based on the timestamp and deliver to S3 partitioned prefixes.
- B
Use AWS Glue crawlers to infer schema and create partitions
Why wrong: Glue crawlers create table metadata, they do not physically partition data in S3.
- C
Use AWS Lambda to process each object and copy to the appropriate prefix
Why wrong: Lambda would require custom code and additional cost.
- D
Use Amazon Athena to create partitions on the existing data
Why wrong: Athena is for querying, not for moving data into partitions.
Quick Answer
The answer is Amazon Kinesis Data Firehose with dynamic partitioning, because it natively handles real-time partitioning by timestamp without requiring custom code. When ingesting JSON logs into S3, Kinesis Firehose can evaluate the timestamp field and automatically create the year/month/day prefix structure during delivery, eliminating the need for Lambda functions or additional processing. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of managed services that reduce transformation effort—a common trap is choosing AWS Glue crawlers (which only update the catalog) or Athena (a query engine). Remember that Firehose’s dynamic partitioning is purpose-built for streaming data partitioning at ingestion time, while options like Lambda add unnecessary complexity. A useful memory tip: “Firehose fires partitions first—no code required.”
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 pipeline that ingests JSON logs from an application into Amazon S3. The logs contain a timestamp field. The pipeline must partition the data by date in S3 (e.g., year=2024/month=10/day=01). Which approach minimizes transformation effort?
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
Use Amazon Kinesis Data Firehose with dynamic partitioning
Option D is correct because S3 Batch Operations can copy objects and apply prefix changes, but for real-time partitioning, Kinesis Data Firehose with dynamic partitioning is the best approach. The correct answer is actually Kinesis Data Firehose. However, since the options are limited, the correct answer is D (Kinesis Data Firehose) as it can automatically partition data based on the timestamp. Option A is wrong because Lambda would require custom code. Option B is wrong because Athena is a query service. Option C is wrong because Glue crawlers create metadata, not partitions.
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.
- ✓
Use Amazon Kinesis Data Firehose with dynamic partitioning
Why this is correct
Firehose can dynamically partition data based on the timestamp and deliver to S3 partitioned prefixes.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use AWS Glue crawlers to infer schema and create partitions
Why it's wrong here
Glue crawlers create table metadata, they do not physically partition data in S3.
- ✗
Use AWS Lambda to process each object and copy to the appropriate prefix
Why it's wrong here
Lambda would require custom code and additional cost.
- ✗
Use Amazon Athena to create partitions on the existing data
Why it's wrong here
Athena is for querying, not for moving data into partitions.
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.
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.
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.
- →
Data Ingestion and Transformation — study guide chapter
Learn the concepts, then practise the questions
- →
Data Ingestion and Transformation practice questions
Targeted practice on this topic area only
- →
All DEA-C01 questions
1,786 questions across all exam domains
- →
AWS Certified Data Engineer Associate DEA-C01 study guide
Full concept coverage aligned to exam objectives
- →
DEA-C01 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related DEA-C01 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Data Ingestion and Transformation practice questions
Practise DEA-C01 questions linked to Data Ingestion and Transformation.
Data Operations and Support practice questions
Practise DEA-C01 questions linked to Data Operations and Support.
Data Security and Governance practice questions
Practise DEA-C01 questions linked to Data Security and Governance.
Data Store Management practice questions
Practise DEA-C01 questions linked to Data Store Management.
DEA-C01 fundamentals practice questions
Practise DEA-C01 questions linked to DEA-C01 fundamentals.
DEA-C01 scenario practice questions
Practise DEA-C01 questions linked to DEA-C01 scenario.
DEA-C01 troubleshooting practice questions
Practise DEA-C01 questions linked to DEA-C01 troubleshooting.
Practice this exam
Start a free DEA-C01 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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: Use Amazon Kinesis Data Firehose with dynamic partitioning — Option D is correct because S3 Batch Operations can copy objects and apply prefix changes, but for real-time partitioning, Kinesis Data Firehose with dynamic partitioning is the best approach. The correct answer is actually Kinesis Data Firehose. However, since the options are limited, the correct answer is D (Kinesis Data Firehose) as it can automatically partition data based on the timestamp. Option A is wrong because Lambda would require custom code. Option B is wrong because Athena is a query service. Option C is wrong because Glue crawlers create metadata, not partitions.
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 →
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.