Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

An ecommerce company stores hourly JSON click-stream files in the s3://raw bucket and needs them filtered for null sessionId values, flattened, and written to s3://curated partitioned by date and hour. The solution must automatically adapt when new fields appear, require little ongoing infrastructure management, and scale cost-effectively with fluctuating traffic. Which approach best meets these requirements?

  • Launch an Amazon EMR cluster with auto-scaling, trigger a Spark application through AWS Step Functions every hour, and use Hive commands to add partitions to the curated bucket.

  • Create an AWS Glue Spark ETL job that reads the raw files as DynamicFrames from a Data Catalog table, enables job bookmarking and dynamic partitioning, and schedule the job hourly with Amazon EventBridge.

  • Configure an S3 ObjectCreated event to invoke an AWS Lambda function that parses each file and writes the filtered results to the curated bucket.

  • Run an hourly Redshift COPY from the raw bucket into a staging table, transform with SQL, then UNLOAD the curated data back to S3 partitioned by date and hour.

AWS Certified Data Engineer Associate DEA-C01
Data Operations and Support
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