Question 165 of 1,786
Data Ingestion and TransformationeasyMultiple SelectObjective-mapped

Quick Answer

The correct approaches are configuring a Lambda function as a data transformation in Firehose and using an AWS Glue ETL job to process data after it lands in S3. Lambda transformation works because Firehose can invoke a user-defined function on each incoming record, allowing you to add a timestamp and strip sensitive fields before delivery to S3. Glue ETL is valid because it can batch-process the transformed data already stored in S3, effectively achieving the same outcome through a post-ingestion pipeline. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of Firehose’s built-in transformation capabilities versus downstream processing options—a common trap is confusing Kinesis Data Analytics (which performs real-time analytics, not record-level transformation) with Lambda. Remember that Firehose’s Lambda integration modifies records in-flight, while Glue handles data at rest. Memory tip: “Lambda live, Glue later.”

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 company uses Kinesis Data Firehose to deliver streaming data to S3. They need to transform the data by adding a timestamp and removing sensitive fields. Which TWO approaches can achieve this?

Question 1easymulti 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

Use AWS Glue ETL to process data after delivery to S3

Option A and Option D are correct because Lambda transformation can modify records, and Glue ETL can process data from Firehose's S3 destination. Option B is wrong because Kinesis Data Analytics is for analytics, not transformation. Option C is wrong because S3 Select is for retrieving subsets of data, not transformation. Option E is wrong because Redshift Spectrum is for querying data in S3.

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.

  • Use Kinesis Data Analytics to transform the stream

    Why it's wrong here

    Kinesis Data Analytics is for real-time analytics, not simple transformations.

  • Use S3 Select to transform data at rest

    Why it's wrong here

    S3 Select is for querying, not transforming.

  • Use AWS Glue ETL to process data after delivery to S3

    Why this is correct

    Glue can transform data after it is stored in S3.

    Related concept

    Static NAT maps one inside address to one outside address.

  • Use Amazon Redshift Spectrum to transform data

    Why it's wrong here

    Redshift Spectrum is for querying external data.

  • Configure a Lambda function as a data transformation in Firehose

    Why this is correct

    Lambda can transform records before delivery.

    Related concept

    Static NAT maps one inside address to one outside address.

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.

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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: Use AWS Glue ETL to process data after delivery to S3 — Option A and Option D are correct because Lambda transformation can modify records, and Glue ETL can process data from Firehose's S3 destination. Option B is wrong because Kinesis Data Analytics is for analytics, not transformation. Option C is wrong because S3 Select is for retrieving subsets of data, not transformation. Option E is wrong because Redshift Spectrum is for querying data in S3.

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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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.