The answer is Amazon Kinesis Data Streams and Amazon MSK. Both services provide the low-latency streaming ingestion required for real-time clickstream data, and crucially, they support multiple consumers processing the same data stream independently—Kinesis Data Streams achieves this through enhanced fan-out, which gives each consumer its own dedicated throughput, while Amazon MSK, built on Apache Kafka, natively allows multiple consumer groups to read from the same topic with sub-second latency. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your ability to distinguish between streaming ingestion services and batch-oriented or queue-based alternatives; a common trap is selecting Kinesis Data Firehose, which buffers data and is designed for loading into destinations, not for multiple consumer access, or SQS, which is a message queue lacking stream replay and fan-out capabilities. Remember the memory tip: if you need multiple consumers reading the same data with low latency, think “fan-out or Kafka”—Kinesis Data Streams with enhanced fan-out and MSK are the only two services that fit.
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 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)
Option A (Kinesis Data Streams) provides low-latency ingestion and allows multiple consumers to process data independently via enhanced fan-out. Option D (Amazon MSK) is also a streaming platform that supports multiple consumers with low latency. Option B (Kinesis Data Firehose) is designed for loading data into destinations with buffering, not for multiple consumers. Option C (SQS) is a message queue with at-least-once delivery but is not a streaming platform and does not support replay efficiently. Option E (S3) is object storage, not a streaming ingestion service.
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.
✗
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
Static NAT maps one inside address to one outside address.
✓
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
Static NAT maps one inside address to one outside address.
✗
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: 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.
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 Managed Streaming for Apache Kafka (Amazon MSK) — Option A (Kinesis Data Streams) provides low-latency ingestion and allows multiple consumers to process data independently via enhanced fan-out. Option D (Amazon MSK) is also a streaming platform that supports multiple consumers with low latency. Option B (Kinesis Data Firehose) is designed for loading data into destinations with buffering, not for multiple consumers. Option C (SQS) is a message queue with at-least-once delivery but is not a streaming platform and does not support replay efficiently. Option E (S3) is object storage, not a streaming ingestion service.
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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Question Discussion
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