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Question 773 of 1,786

Data Ingestion and Transformation →hardMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is to use Amazon CloudWatch Events to trigger an AWS Lambda function every 15 minutes, which then calls the REST API, transforms the JSON array into individual objects, and writes them to S3 with a year/month/day/hour partition structure. This works because CloudWatch Events provides a simple, cron-based scheduler that directly invokes Lambda, and Lambda itself handles both the API call and the lightweight transformation—no additional services are needed for batch ingestion at a fixed interval. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your ability to distinguish between batch and streaming patterns; a common trap is overcomplicating the solution with Kinesis Firehose or Step Functions when the requirement is simply a scheduled REST API to S3 pipeline. Remember the memory tip: for scheduled batch pulls from an API, think “CloudWatch triggers Lambda, Lambda does it all.”

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 is designing a data ingestion pipeline for a social media company. The pipeline ingests user posts from a REST API into Amazon S3. The API returns JSON data with an array of posts. The engineer needs to transform the data into individual JSON objects per post and store them in S3 with a partition structure of year/month/day/hour. The data should be available in S3 within 15 minutes of ingestion. The engineer decides to use AWS Lambda for transformation. Which combination of services should the engineer use to meet these requirements with minimal operational overhead?

Question 1hardmultiple choice

Read the full NAT/PAT explanation →

A
Use AWS Step Functions to orchestrate an API call and data transformation with Lambda, running every 15 minutes.
Why wrong: Step Functions adds overhead for simple scheduling.
B
Use Amazon CloudWatch Events to trigger an AWS Lambda function every 15 minutes. The Lambda function calls the API, transforms the data, and writes individual JSON objects to S3 with the required partition structure.
Simple and cost-effective for periodic API polling.
C
Use AWS Glue ETL jobs scheduled with AWS Glue triggers to run every 15 minutes.
Why wrong: Glue jobs have startup latency and higher cost.
D
Use Amazon Kinesis Data Firehose with a Lambda function for transformation. Configure Firehose to pull from the API every 15 minutes.
Why wrong: Firehose does not support pulling from REST APIs.

Full breakdown with real-world context →

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 Amazon CloudWatch Events to trigger an AWS Lambda function every 15 minutes. The Lambda function calls the API, transforms the data, and writes individual JSON objects to S3 with the required partition structure.

Option A is correct because using CloudWatch Events to trigger Lambda on a schedule reduces complexity and Lambda can fetch API data and write to S3. Option B is wrong because Kinesis Firehose expects streaming data, not batch API calls. Option C is wrong because Glue is heavier for simple transformation. Option D is wrong because Step Functions adds unnecessary complexity.

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 AWS Step Functions to orchestrate an API call and data transformation with Lambda, running every 15 minutes.
Why it's wrong here
Step Functions adds overhead for simple scheduling.
✓
Use Amazon CloudWatch Events to trigger an AWS Lambda function every 15 minutes. The Lambda function calls the API, transforms the data, and writes individual JSON objects to S3 with the required partition structure.
Why this is correct
Simple and cost-effective for periodic API polling.
Related concept
Static NAT maps one inside address to one outside address.
✗
Use AWS Glue ETL jobs scheduled with AWS Glue triggers to run every 15 minutes.
Why it's wrong here
Glue jobs have startup latency and higher cost.
✗
Use Amazon Kinesis Data Firehose with a Lambda function for transformation. Configure Firehose to pull from the API every 15 minutes.
Why it's wrong here
Firehose does not support pulling from REST APIs.

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 Amazon CloudWatch Events to trigger an AWS Lambda function every 15 minutes. The Lambda function calls the API, transforms the data, and writes individual JSON objects to S3 with the required partition structure. — Option A is correct because using CloudWatch Events to trigger Lambda on a schedule reduces complexity and Lambda can fetch API data and write to S3. Option B is wrong because Kinesis Firehose expects streaming data, not batch API calls. Option C is wrong because Glue is heavier for simple transformation. Option D is wrong because Step Functions adds unnecessary complexity.

What should I do if I get this DEA-C01 question wrong?

What is the key concept behind this question?

Static NAT maps one inside address to one outside address.

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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.