Quick Answer
The answer is Amazon Kinesis Data Streams, Kinesis Data Analytics, and Kinesis Data Firehose. This combination works because Kinesis Data Streams ingests the streaming mobile app events in real time, Kinesis Data Analytics applies continuous processing and handles schema evolution on the fly, and Kinesis Data Firehose delivers the transformed data to Amazon S3 without requiring batch windows. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of the Kinesis family’s distinct roles versus batch alternatives like AWS Glue, which is a common trap—Glue is ideal for scheduled ETL but cannot process real-time streams. A key memory tip is to think of the pipeline as “Stream → Analyze → Firehose to S3,” where Firehose acts as the seamless bridge for schema evolution.
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 needs to design a data ingestion pipeline that captures streaming data from mobile app events into Amazon S3 for analytics. The pipeline must support real-time processing of events and allow for schema evolution over time. Which AWS services should the engineer use? (Choose THREE.)
Amazon Kinesis Data Analytics
Enables real-time processing and schema evolution.
Amazon Kinesis Data Firehose
Delivers processed data to S3.
AWS Glue ETL jobs
Why wrong: Batch processing, not real-time.
Amazon Kinesis Data Streams
Ingests streaming data from mobile apps.
AWS AppFlow
Why wrong: For SaaS applications, not mobile app events.
Answer choices
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
Options A, C, and D are correct. Kinesis Data Streams ingests streaming data. Kinesis Data Analytics can perform real-time processing. Kinesis Data Firehose delivers data to S3. Option B (Glue) is batch-oriented and not real-time. Option E (AppFlow) is for SaaS data ingestion.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon Kinesis Data Analytics
Why this is correct
Enables real-time processing and schema evolution.
Related concept
Read the scenario before looking for a memorised answer.
Amazon Kinesis Data Firehose
Why this is correct
Delivers processed data to S3.
Related concept
Read the scenario before looking for a memorised answer.
AWS Glue ETL jobs
Why it's wrong here
Batch processing, not real-time.
Amazon Kinesis Data Streams
Why this is correct
Ingests streaming data from mobile apps.
Related concept
Read the scenario before looking for a memorised answer.
AWS AppFlow
Why it's wrong here
For SaaS applications, not mobile app events.
Common exam traps
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
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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise DEA-C01 questions linked to Data Ingestion and Transformation.
Practise DEA-C01 questions linked to Data Operations and Support.
Practise DEA-C01 questions linked to Data Security and Governance.
Practise DEA-C01 questions linked to Data Store Management.
Practise DEA-C01 questions linked to DEA-C01 fundamentals.
Practise DEA-C01 questions linked to DEA-C01 scenario.
Practise DEA-C01 questions linked to DEA-C01 troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon Kinesis Data Analytics — Options A, C, and D are correct. Kinesis Data Streams ingests streaming data. Kinesis Data Analytics can perform real-time processing. Kinesis Data Firehose delivers data to S3. Option B (Glue) is batch-oriented and not real-time. Option E (AppFlow) is for SaaS data ingestion.
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.
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.