- A
Amazon Kinesis Data Firehose
Why wrong: Firehose is for delivering data to destinations, not for multiple consumers; it buffers data.
- B
Amazon Managed Streaming for Apache Kafka (Amazon MSK)
MSK is a fully managed Kafka service that provides low-latency streaming and supports multiple consumer groups.
- C
Amazon Kinesis Data Streams
Kinesis Data Streams provides low-latency ingestion and supports multiple consumers via enhanced fan-out.
- D
Amazon Simple Queue Service (SQS)
Why wrong: SQS is a queue, not a streaming platform; it doesn't support multiple independent consumers efficiently.
- E
Amazon S3
Why wrong: S3 is object storage, not a streaming ingestion service.
Question 1,716 of 1,786
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 real-time clickstream data from a website. The data must be ingested with low latency (seconds) and made available for multiple consumer applications, including a dashboard that refreshes every minute and a machine learning model that processes data in near-real-time. The engineer needs to choose a streaming ingestion service. Which TWO services meet these requirements? (Select 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 Managed Streaming for Apache Kafka (Amazon MSK)
Amazon Kinesis Data Streams (C) provides sub-second ingestion latency and supports multiple consumer applications via its enhanced fan-out feature, enabling a dashboard and ML model to consume data concurrently with low latency. Amazon MSK (B) offers similar real-time capabilities with Apache Kafka's native pub/sub model, allowing multiple consumers to process the same stream independently and with low latency, meeting the near-real-time requirements.
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
Why it's wrong here
Firehose is for delivering data to destinations, not for multiple consumers; it buffers data.
- ✓
Amazon Managed Streaming for Apache Kafka (Amazon MSK)
Why this is correct
MSK is a fully managed Kafka service that provides low-latency streaming and supports multiple consumer groups.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Kinesis Data Streams provides low-latency ingestion and supports multiple consumers via enhanced fan-out.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Simple Queue Service (SQS)
Why it's wrong here
SQS is a queue, not a streaming platform; it doesn't support multiple independent consumers efficiently.
- ✗
Amazon S3
Why it's wrong here
S3 is object storage, not a streaming ingestion service.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon Kinesis Data Firehose with Kinesis Data Streams, assuming Firehose provides real-time ingestion, but Firehose buffers data for at least 60 seconds before delivery, making it unsuitable for sub-second latency requirements.
Detailed technical explanation
How to think about this question
Kinesis Data Streams uses shards as the unit of throughput, with each shard supporting up to 1 MB/s or 1,000 records/s for writes and 2 MB/s for reads; enhanced fan-out provides dedicated throughput of 2 MB/s per consumer per shard, eliminating contention. Amazon MSK manages Apache Kafka clusters, where topics are partitioned for parallelism and consumers can use consumer groups to independently read data with offsets managed by Kafka, enabling replayability and fault tolerance. Both services support record retention (up to 365 days for Kinesis, configurable for MSK), allowing reprocessing if needed.
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.
TExam Day Tips
- 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
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: Amazon Managed Streaming for Apache Kafka (Amazon MSK) — Amazon Kinesis Data Streams (C) provides sub-second ingestion latency and supports multiple consumer applications via its enhanced fan-out feature, enabling a dashboard and ML model to consume data concurrently with low latency. Amazon MSK (B) offers similar real-time capabilities with Apache Kafka's native pub/sub model, allowing multiple consumers to process the same stream independently and with low latency, meeting the near-real-time requirements.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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 →
Keep practising
More DEA-C01 practice questions
- A data pipeline uses Kinesis Data Firehose to deliver streaming data to an S3 bucket. The data volume spikes occasionall…
- An e-commerce company uses AWS Glue to run ETL jobs that transform clickstream data from Amazon S3. The job reads Parque…
- A data engineering team uses Amazon Kinesis Data Analytics for Apache Flink to process streaming data. They notice that…
- A company uses AWS Glue to process streaming data from Amazon Kinesis Data Streams. The job reads JSON records and write…
- A data engineer applies the above bucket policy to an S3 bucket containing sensitive data. The goal is to allow only enc…
- A company uses AWS Glue to catalog data in Amazon S3. The security team requires that all sensitive data be identified a…
Last reviewed: Jul 4, 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.