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EXAMPLE QUESTIONS
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5 Blueprints
Detect data anomalies in new S3 files with DuckDB SQL and email a CSV of the bad rows.
Watch a CloudWatch backlog metric and fire an EMR Serverless Spark job only when work is pending.
Trigger a Python data pipeline automatically whenever a new file lands in an Amazon S3 bucket.
Run a Glue ETL job, validate the output with Athena, then cache the headline KPI in DynamoDB.
Sync AWS resource metadata into Postgres with CloudQuery, then flag public S3 buckets with SQL.