DEA-C01 Data Ingestion and Transformation Practice Question
A data engineer needs to transform CSV files to Parquet format using AWS Glue. The source data contains sensitive columns that must be masked. Which Glue feature should be used?
⚠ Common exam trap
Many candidates confuse AWS Glue DataBrew's visual data preparation and masking capabilities with AWS Glue Studio's visual ETL job authoring, which lacks built-in masking transforms and requires custom code.
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
✓
AWS Glue DataBrew
AWS Glue DataBrew is a visual data preparation tool that includes built-in transformations for masking sensitive data, such as hashing, tokenizing, or redacting columns. This makes it the correct choice for transforming CSV files to Parquet while applying column-level masking without writing custom code.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
AWS Glue DataBrew
Why this is correct
DataBrew provides visual data preparation with built-in masking.
- ✗
AWS Glue Studio
Why it's wrong here
Glue Studio is for building ETL jobs, but masking requires custom logic.
- ✗
AWS Glue Crawler
Why it's wrong here
Crawlers catalog metadata, not transform.
- ✗
AWS Glue Schema Registry
Why it's wrong here
Schema Registry manages schemas, not transformations.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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