The correct answer is to use AWS Glue ETL jobs with Glue DataBrew for data quality and write to Redshift, because Glue natively handles schema evolution through its dynamic frame and schema inference capabilities, while Deequ—integrated via Glue’s custom transforms—provides declarative data quality checks that validate constraints like completeness and uniqueness. This combination directly addresses the need to build a data pipeline with schema evolution and data quality using AWS Glue and Deequ, as Glue’s serverless Spark engine efficiently transforms large CSV files from S3, and Deequ’s metrics compute quality statistics without requiring separate infrastructure. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of Glue’s schema flexibility versus Lambda’s limitations for heavy ETL, and the distinction between batch processing (Glue) and streaming (Kinesis). A common trap is choosing Athena, but it cannot write to Redshift, while Kinesis is overkill for batch CSV ingestion. Memory tip: “Glue for schema, Deequ for quality—together they build a reliable pipeline.”
DEA-C01 Data Operations and Support Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 set up a data pipeline that ingests CSV files from an S3 bucket, transforms them using AWS Glue, and loads the results into Amazon Redshift. The pipeline must handle schema evolution and data quality checks. Which combination of services is most appropriate?
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 jobs with Glue DataBrew for data quality and write to Redshift
Option B is correct because Glue handles schema evolution and Deequ provides data quality checks. Option A is wrong because Lambda is not ideal for large transforms. Option C is wrong because Athena cannot write to Redshift. Option D is wrong because Kinesis is for streaming.
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 S3 Events to trigger an AWS Lambda function that writes directly to Redshift
Why it's wrong here
Lambda is not designed for heavy ETL and lacks schema evolution handling.
✗
Use Amazon Athena to query data in S3 and insert results into Redshift via CTAS
Why it's wrong here
Athena cannot write to Redshift directly.
✗
Use Amazon Kinesis Data Firehose to transform and load data into Redshift
Why it's wrong here
Firehose is for streaming, not batch processing with complex transforms.
✓
Use AWS Glue ETL jobs with Glue DataBrew for data quality and write to Redshift
Why this is correct
Glue supports schema evolution and DataBrew provides data quality checks.
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.
Data Operations and Support — This question tests Data Operations and Support — 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 jobs with Glue DataBrew for data quality and write to Redshift — Option B is correct because Glue handles schema evolution and Deequ provides data quality checks. Option A is wrong because Lambda is not ideal for large transforms. Option C is wrong because Athena cannot write to Redshift. Option D is wrong because Kinesis is for streaming.
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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Question Discussion
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