Questions and Answers
What is the maximum number of allocated executors for the job when 10 DPUs are designated?
Which section of the AWS Glue console allows for monitoring DPU capacity based on previous job runs?
Which option is NOT effective for determining the appropriate number of DPUs needed for a Glue job?
What action should be taken in the AWS Glue console for in-depth analysis of job performance metrics?
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Why would visualizing Glue job metrics in the ETL section not help optimize DPU usage?
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In the context of AWS Glue, what does the horizontal red line on the graph represent?
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Which of the following options is a correct method for optimizing DPU usage in AWS Glue?
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What is one limitation of using Amazon CloudWatch Logs for optimizing DPU usage?
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Study Notes
AWS Glue Job Metrics and DPU Capacity
- The maximum number of allocated executors is represented by a horizontal red line on the graph, aligning with the 10 Data Processing Units (DPUs) designated for the job.
- AWS Glue console provides job metrics that include executor allocation based on DPUs for each job run.
- To analyze job performance, select a job run and choose ‘View run metrics’ for detailed data analysis.
Job Run Monitoring
- The Job Run Monitoring section helps determine the appropriate DPU capacity needed by leveraging results from previous job runs.
- Examining past job runs in the Job Run Monitoring section is crucial for assessing DPU capacity.
Misconceptions Regarding DPU Analysis
- Using Amazon CloudWatch Logs insights to review Glue job logs is insufficient for optimizing DPU usage, as it primarily inspects aggregate details rather than specific capacity needs.
- Visualizing Glue jobs in the ETL section offers a high-level view but lacks the in-depth analysis required for optimizing DPU allocation.
- Job bookmarks do not track DPU consumption; they are intended for processing only new or updated data by maintaining state information from previously processed data.
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Description
This quiz covers the key concepts related to AWS Glue job metrics, particularly focusing on executor allocation and Data Processing Units (DPUs). Learn how to interpret graphs and monitor job performances effectively. Dive into the AWS Glue console to enhance your understanding of job run metrics.
