{"id":699,"date":"2022-12-17T13:11:57","date_gmt":"2022-12-17T13:11:57","guid":{"rendered":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/aws-certified-data-analytics-specialty-das-c01-question013\/"},"modified":"2022-12-17T13:11:57","modified_gmt":"2022-12-17T13:11:57","slug":"aws-certified-data-analytics-specialty-das-c01-question013","status":"publish","type":"post","link":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/aws-certified-data-analytics-specialty-das-c01-question013\/","title":{"rendered":"AWS Certified Data Analytics &#8211; Specialty DAS-C01 &#8211; Question013"},"content":{"rendered":"<div class=\"question\">An operations team notices that a few AWS Glue jobs for a given ETL application are failing. The AWS Glue jobs read a large number of small JSON files from an Amazon S3 bucket and write the data to a different S3 bucket in Apache Parquet format with no major transformations. Upon initial investigation, a data engineer notices the following error message in the History tab on the AWS Glue console: &quot;Command Failed with Exit Code 1.&quot;<br \/>\nUpon further investigation, the data engineer notices that the driver memory profile of the failed jobs crosses the safe threshold of 50% usage quickly and reaches 9095% soon after. The average memory usage across all executors continues to be less than 4%.<br \/>\nThe data engineer also notices the following error while examining the related Amazon CloudWatch Logs.<br \/>\n<img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-full\" src=\"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/wp-content\/uploads\/exam\/_-0003.jpg\" \/><br \/>\nWhat should the data engineer do to solve the failure in the MOST cost-effective way?<br \/><strong><br \/>A.<\/strong> Change the worker type from Standard to G.2X.<br \/><strong>B.<\/strong> Modify the AWS Glue ETL code to use the `groupFiles&#039;: `inPartition&#039; feature.<br \/><strong>C.<\/strong> Increase the fetch size setting by using AWS Glue dynamics frame.<br \/><strong>D.<\/strong> Modify maximum capacity to increase the total maximum data processing units (DPUs) used.<\/div>\n<p><\/p>\n<style> .hidden-div{ display:none } <\/style>\n<p>\t\t\t\t\t\t\t<button onclick=\"getElementById('hidden-div').style.display = 'block'\"> Show Answer <\/button> <button onclick=\"getElementById('hidden-div').style.display = 'none'\">Hide Answer<\/button><\/p>\n<div class=\"hidden-div\" id=\"hidden-div\"><span style=\"\"><\/p>\n<div class=\"answer\">Correct Answer: <strong>D<\/strong><\/div>\n<p><\/strong><\/span> <\/div>\n","protected":false},"excerpt":{"rendered":"<p>An operations team notices that a few AWS Glue jobs for a given ETL application are failing. The AWS Glue jobs read a large number of small JSON files from an Amazon S3 bucket and write the data to a different S3 bucket in Apache Parquet format with no major transformations. Upon initial investigation, a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[3,180],"class_list":["post-699","post","type-post","status-publish","format-standard","hentry","category-aws-certified-data-analytics-specialty-das-c01","tag-aws-certified-data-analytics-specialty-das-c01","tag-question-013"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/wp-json\/wp\/v2\/posts\/699","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/wp-json\/wp\/v2\/comments?post=699"}],"version-history":[{"count":0,"href":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/wp-json\/wp\/v2\/posts\/699\/revisions"}],"wp:attachment":[{"href":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/wp-json\/wp\/v2\/media?parent=699"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/wp-json\/wp\/v2\/categories?post=699"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/exampracticetests.com\/aws\/Data_Analytics-Specialty_DAS-C01\/wp-json\/wp\/v2\/tags?post=699"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}