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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineer is building an AWS Glue Spark job that ingests product data from an on-premises Oracle database through a JDBC connection. The job must run in a private subnet, avoid hard-coding credentials, and allow future jobs to reuse the same connectivity settings. Which solution meets these requirements?

  • Upload the Oracle JDBC driver JAR and a properties file with user credentials to Amazon S3 and pass both files with the job's --extra-jars parameter.

  • Configure an AWS Direct Connect gateway to the data center and let the job rely on its IAM execution role for database authentication.

  • Add the Oracle host, port, user, and password as job parameters and call SparkContext.addJar at runtime to load the JDBC driver.

  • Create an AWS Glue connection that specifies the Oracle JDBC URL, the private subnet, and an AWS Secrets Manager secret containing the credentials, then attach the connection to the job.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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