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Data Ingestion and Transformation →hardMultiple ChoiceObjective-mapped

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 team is designing a data ingestion pipeline to load JSON files from an Amazon S3 bucket into Amazon Redshift. The files arrive every 5 minutes, and each file is between 10 MB and 50 MB. The team wants to minimize the time between file arrival and data availability in Redshift. Which approach should the team 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.

A
Schedule an AWS Glue job to run every 5 minutes to load the data.
Why wrong: Glue jobs have startup overhead and are not ideal for frequent small loads; Lambda is more efficient.
B
Use S3 Event Notifications to trigger an AWS Lambda function that runs the COPY command to load data into Redshift.
Lambda responds quickly to S3 events and runs COPY for efficient bulk loading.
C
Use Amazon Redshift Spectrum to query the data directly from S3 without loading.
Why wrong: Spectrum queries external tables but does not load data into Redshift; query performance may be slower.
D
Configure Amazon Kinesis Data Firehose to stream data from S3 to Redshift.
Why wrong: Firehose expects a stream, not batch files; it would require additional transformation and adds latency.

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 S3 Event Notifications to trigger an AWS Lambda function that runs the COPY command to load data into Redshift.

Option B is correct because S3 Event Notifications can trigger an AWS Lambda function that executes the COPY command, loading data into Redshift with minimal latency. This approach avoids the overhead of scheduling or batching, directly responding to each file arrival to meet the 5-minute frequency and file size requirements.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Schedule an AWS Glue job to run every 5 minutes to load the data.
Why it's wrong here
Glue jobs have startup overhead and are not ideal for frequent small loads; Lambda is more efficient.
✓
Use S3 Event Notifications to trigger an AWS Lambda function that runs the COPY command to load data into Redshift.
Why this is correct
Lambda responds quickly to S3 events and runs COPY for efficient bulk loading.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Amazon Redshift Spectrum to query the data directly from S3 without loading.
Why it's wrong here
Spectrum queries external tables but does not load data into Redshift; query performance may be slower.
✗
Configure Amazon Kinesis Data Firehose to stream data from S3 to Redshift.
Why it's wrong here
Firehose expects a stream, not batch files; it would require additional transformation and adds latency.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse Redshift Spectrum (which queries external data without loading) with the requirement to have data available in Redshift tables, or they may overestimate the suitability of scheduled Glue jobs for low-latency, frequent ingestion.

Detailed technical explanation

How to think about this question

The Lambda function uses the Redshift Data API or a psycopg2 connection to run the COPY command, which leverages Redshift's massively parallel processing (MPP) to load data efficiently from S3. S3 Event Notifications are near real-time (typically within seconds), and the Lambda function can handle files up to 50 MB easily within its 15-minute timeout, making this a low-latency, event-driven pattern. A subtle behavior is that the COPY command automatically compresses and loads data in parallel across Redshift slices, optimizing throughput for files of this size.

KKey Concepts to Remember

Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.

TExam Day Tips

Watch for words such as best, first, most likely and least administrative effort.
Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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.

Quick reference

AWS S3 Storage Class Comparison

Storage Class	Min Duration	Retrieval	Use Case
S3 Standard	None	Immediate	Frequently accessed data
S3 Standard-IA	30 days	Immediate	Infrequent access, rapid retrieval
S3 One Zone-IA	30 days	Immediate	Non-critical infrequent data
S3 Intelligent-Tiering	None	Immediate–hours	Unknown or changing access patterns
S3 Glacier Instant	90 days	Milliseconds	Archive with instant retrieval
S3 Glacier Flexible	90 days	Minutes–hours	Archive, flexible retrieval
S3 Glacier Deep Archive	180 days	Hours	Long-term compliance archive

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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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 — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use S3 Event Notifications to trigger an AWS Lambda function that runs the COPY command to load data into Redshift. — Option B is correct because S3 Event Notifications can trigger an AWS Lambda function that executes the COPY command, loading data into Redshift with minimal latency. This approach avoids the overhead of scheduling or batching, directly responding to each file arrival to meet the 5-minute frequency and file size requirements.

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

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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?

Read the scenario before looking for a memorised answer.

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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.