Question 519 of 1,786
Data Ingestion and TransformationmediumMultiple SelectObjective-mapped

Quick Answer

The correct answer is Amazon Kinesis Data Streams, Kinesis Data Analytics, and Kinesis Data Firehose. This trio works together because Kinesis Data Streams ingests real-time clickstream data with sub-second latency, Kinesis Data Analytics processes that streaming data for real-time analytics using SQL or Apache Flink, and Kinesis Data Firehose reliably delivers the processed results to Amazon S3 for batch analytics. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of the Kinesis family’s distinct roles: ingestion, processing, and delivery. A common trap is selecting AWS Glue, which is batch-oriented and unsuitable for sub-second latency, or Amazon MSK, which is a managed Kafka alternative but adds unnecessary complexity when Kinesis already meets the requirement. Remember the pipeline flow as “Streams → Analytics → Firehose” to recall the three services that form a complete, low-latency clickstream pipeline.

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 company is designing a data ingestion pipeline for real-time clickstream data. The data must be ingested with low latency (< 1 second) and then processed for real-time analytics. The processed data should be stored in Amazon S3 for batch analytics. Which THREE services should be used together?

Question 1mediummulti select
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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 Kinesis Data Analytics

Options A, B, and D are correct. Kinesis Data Streams ingests data with low latency. Kinesis Data Analytics processes streaming data in real-time. Kinesis Data Firehose delivers processed data to S3. Option C (AWS Glue) is batch-oriented. Option E (Amazon MSK) is an alternative but not necessary if Kinesis is used.

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 (MSK)

    Why it's wrong here

    MSK is an alternative but not needed if Kinesis Data Streams is already used.

  • Amazon Kinesis Data Analytics

    Why this is correct

    Performs real-time processing and analytics on streaming data.

    Related concept

    Static NAT maps one inside address to one outside address.

  • Amazon Kinesis Data Firehose

    Why this is correct

    Delivers processed data to S3 for storage and batch analytics.

    Related concept

    Static NAT maps one inside address to one outside address.

  • Amazon Kinesis Data Streams

    Why this is correct

    Provides low-latency data ingestion for clickstream data.

    Related concept

    Static NAT maps one inside address to one outside address.

  • AWS Glue ETL job

    Why it's wrong here

    Glue is for batch processing, not real-time.

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.

Related practice questions

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FAQ

Questions learners often ask

What does this DEA-C01 question test?

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 Kinesis Data Analytics — Options A, B, and D are correct. Kinesis Data Streams ingests data with low latency. Kinesis Data Analytics processes streaming data in real-time. Kinesis Data Firehose delivers processed data to S3. Option C (AWS Glue) is batch-oriented. Option E (Amazon MSK) is an alternative but not necessary if Kinesis is used.

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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Same concept, more angles

2 more ways this is tested on DEA-C01

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A company receives streaming clickstream data from its website. The data must be ingested with low latency and transformed in real time before being stored in Amazon S3. Which AWS service combination is most suitable for this use case?

easy
  • A.Amazon S3 with S3 Object Lambda
  • B.Amazon Kinesis Data Streams with Amazon Kinesis Data Analytics
  • C.Amazon Kinesis Data Firehose with AWS Lambda for transformation
  • D.AWS Glue jobs triggered by Amazon S3 events

Why B: Option B is correct because Amazon Kinesis Data Streams ingests streaming data with low latency, and Kinesis Data Analytics can perform real-time transformations using SQL or Apache Flink. Option A is wrong because Kinesis Data Firehose is a delivery service that can transform data but with higher latency. Option C is wrong because AWS Glue is a batch ETL service. Option D is wrong because Amazon S3 is a storage service, not for real-time transformation.

Variation 2. A company is designing a data ingestion pipeline for clickstream data from a website. The data must be ingested in near real-time. Which TWO services can be used together to build this pipeline?

medium
  • A.Amazon Kinesis Data Streams
  • B.Amazon Simple Queue Service (SQS)
  • C.Amazon S3
  • D.Amazon Kinesis Data Firehose
  • E.Amazon DynamoDB

Why A: Option A and Option D are correct because Kinesis Data Streams can ingest the clickstream data, and Kinesis Data Firehose can deliver it to S3. Option B is wrong because S3 is not a real-time ingestion service. Option C is wrong because DynamoDB is a database, not a streaming ingestion service. Option E is wrong because SQS is for message queuing, not streaming ingestion.

Last reviewed: Jun 20, 2026

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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.