The answer is Amazon Managed Streaming for Apache Kafka (Amazon MSK), as it is the fully managed AWS service designed to ingest data from on-premises Kafka clusters into Amazon S3 without requiring any server management. MSK handles the heavy lifting of provisioning, scaling, and monitoring the Kafka infrastructure, and it supports mirroring or replication from an on-premises cluster using tools like MirrorMaker, enabling seamless data flow into S3 via built-in connectors or custom consumers. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your ability to distinguish between streaming ingestion services—specifically, that MSK is the only fully managed Kafka-compatible option, while Kinesis Data Streams is a separate service requiring custom adapters, and Glue is for batch ETL, not real-time streaming. A common trap is confusing Kinesis Data Analytics or Glue for Kafka ingestion, but remember: if the source is Kafka, the managed service is MSK. Memory tip: “MSK = Managed Streaming for Kafka” — think “M” for “Mirror” your on-prem Kafka to the cloud.
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 data engineer needs to ingest data from an on-premises Apache Kafka cluster into Amazon S3. The data engineer wants to minimize operational overhead and avoid managing any servers. Which AWS service should the data engineer use?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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 C is correct. Amazon MSK is a fully managed Kafka service that can be used to ingest data from on-premises Kafka via mirroring or replication. Option A is wrong because Kinesis Data Analytics is for analyzing streaming data, not for ingestion. Option B is wrong because Kinesis Data Streams is a different streaming service, not compatible with Kafka without custom connectors. Option D is wrong because Glue is for ETL, not for streaming ingestion from Kafka.
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 Managed Streaming for Apache Kafka (Amazon MSK)
Why this is correct
MSK is a fully managed Kafka service that can ingest data from on-premises Kafka.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
✗
AWS Glue
Why it's wrong here
Glue is for batch ETL, not for streaming ingestion from Kafka.
✗
Amazon Kinesis Data Analytics
Why it's wrong here
Used for real-time analytics on streaming data, not for ingestion.
✗
Amazon Kinesis Data Streams
Why it's wrong here
Kinesis is not directly compatible with Kafka; migration would require custom code.
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 C is correct. Amazon MSK is a fully managed Kafka service that can be used to ingest data from on-premises Kafka via mirroring or replication. Option A is wrong because Kinesis Data Analytics is for analyzing streaming data, not for ingestion. Option B is wrong because Kinesis Data Streams is a different streaming service, not compatible with Kafka without custom connectors. Option D is wrong because Glue is for ETL, not for streaming ingestion from Kafka.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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