DEA-C01 Exam Dumps | A data engineer develops an AWS Glue Apache Spark ETL job to perform transformations on a dataset. When

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Question 2/168

A data engineer develops an AWS Glue Apache Spark ETL job to perform transformations on a dataset. When the data engineer runs the job, the job returns an error that reads, "No space left on device." The data engineer needs to identify the source of the error and provide a solution.
Which combinations of steps will meet this requirement MOST cost-effectively? (Choose two.)

A. Scale out the workers vertically to address data skewness.

B. Use the Spark UI and AWS Glue metrics to monitor data skew in the Spark executors.

C. Scale out the number of workers horizontally to address data skewness.

D. Enable the --write-shuffie-files-to-s3 job parameter. Use the salting technique.

E. Use error logs in Amazon CloudWatch to monitor data skew.

Correct Answer: B,D

Use the Spark UI and AWS Glue Exposed Spark metrics to pinpoint where partitions are disproportionately large (data skew) and where spill files are filling executor disk.
Enable the --write-shuffle-files-to-s3 job parameter so shuffle spills go to S3 instead of running out of local disk, and apply a salting technique on skewed keys to spread data more evenly across partitions.

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