Quick Answer
The answer is an AWS Glue ETL job, as it is the native service feature designed for scheduled, serverless data transformation and loading. For a daily CSV to Parquet to Redshift pipeline, a Glue ETL job handles the schema mapping and conversion without joins, writing directly to Redshift via JDBC or the Redshift Spectrum connector. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your ability to distinguish between Glue components: a Crawler only catalogs metadata, DataBrew is a visual preparation tool not meant for automated production jobs, and Workflows orchestrate but do not transform. The common trap is confusing DataBrew’s visual interface with the need for a repeatable, code-driven ETL process. Remember the mnemonic “Crawl, Brew, Work, but ETL does the work” to recall that only the ETL job handles scheduled, automated transformations.
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 has CSV files in an S3 bucket that need to be converted to Parquet and loaded into a Redshift table daily. The transformation is a simple schema mapping without joins. Which AWS Glue feature is BEST suited for this task?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
AWS Glue ETL job
Glue ETL jobs can read CSV, convert to Parquet, and write to Redshift.
AWS Glue DataBrew
Why wrong: DataBrew is a visual data preparation tool; for automated daily jobs, ETL is better.
AWS Glue Workflow
Why wrong: Workflows orchestrate multiple jobs but do not perform the transformation itself.
AWS Glue Crawler
Why wrong: Crawlers populate the Data Catalog but do not transform or load data.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
AWS Glue ETL job
Option B is correct because Glue ETL job is the standard way to transform and load data. Option A (Crawler) only catalogs data. Option C (DataBrew) is a visual tool, but the question asks for Glue feature for automated daily jobs. Option D (Workflows) orchestrates jobs but does not perform transformation.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
AWS Glue ETL job
Why this is correct
Glue ETL jobs can read CSV, convert to Parquet, and write to Redshift.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
AWS Glue DataBrew
Why it's wrong here
DataBrew is a visual data preparation tool; for automated daily jobs, ETL is better.
AWS Glue Workflow
Why it's wrong here
Workflows orchestrate multiple jobs but do not perform the transformation itself.
AWS Glue Crawler
Why it's wrong here
Crawlers populate the Data Catalog but do not transform or load data.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Data Ingestion and Transformation — study guide chapter
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FAQ
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
The correct answer is: AWS Glue ETL job — Option B is correct because Glue ETL job is the standard way to transform and load data. Option A (Crawler) only catalogs data. Option C (DataBrew) is a visual tool, but the question asks for Glue feature for automated daily jobs. Option D (Workflows) orchestrates jobs but does not perform transformation.
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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.
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