{"id":518,"date":"2023-01-14T11:09:22","date_gmt":"2023-01-14T11:09:22","guid":{"rendered":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/aws-certified-machine-learning-specialty-mls-c01-question119\/"},"modified":"2023-01-14T11:09:22","modified_gmt":"2023-01-14T11:09:22","slug":"aws-certified-machine-learning-specialty-mls-c01-question119","status":"publish","type":"post","link":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/aws-certified-machine-learning-specialty-mls-c01-question119\/","title":{"rendered":"AWS Certified Machine Learning &#8211; Specialty MLS-C01 &#8211; Question119"},"content":{"rendered":"<div class=\"question\">A data scientist wants to use Amazon Forecast to build a forecasting model for inventory demand for a retail company. The company has provided a dataset of historic inventory demand for its products as a .csv file stored in an Amazon S3 bucket. The table below shows a sample of the dataset.<br \/>\n<img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-full\" src=\"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/wp-content\/uploads\/exam\/img_119_0038.jpg\" \/><br \/>\nHow should the data scientist transform the data?<br \/><strong><br \/>A.<\/strong> Use ETL jobs in AWS Glue to separate the dataset into a target time series dataset and an item metadata dataset. Upload both datasets as .csv files to Amazon S3.<br \/><strong>B.<\/strong> Use a Jupyter notebook in Amazon SageMaker to separate the dataset into a related time series dataset and an item metadata dataset. Upload both datasets as tables in Amazon Aurora.<br \/><strong>C.<\/strong> Use AWS Batch jobs to separate the dataset into a target time series dataset, a related time series dataset, and an item metadata dataset. Upload them directly to Forecast from a local machine.<br \/><strong>D.<\/strong> Use a Jupyter notebook in Amazon SageMaker to transform the data into the optimized protobuf recordIO format. Upload the dataset in this format to Amazon S3.<\/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>B<\/strong><\/div>\n<p><\/strong><\/span> <\/div>\n","protected":false},"excerpt":{"rendered":"<p>A data scientist wants to use Amazon Forecast to build a forecasting model for inventory demand for a retail company. The company has provided a dataset of historic inventory demand for its products as a .csv file stored in an Amazon S3 bucket. The table below shows a sample of the dataset. How should the [&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":[3,122],"class_list":["post-518","post","type-post","status-publish","format-standard","hentry","category-aws-certified-machine-learning-specialty-mls-c01","tag-aws-certified-machine-learning-specialty-mls-c01","tag-question-119"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/wp-json\/wp\/v2\/posts\/518","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/wp-json\/wp\/v2\/comments?post=518"}],"version-history":[{"count":0,"href":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/wp-json\/wp\/v2\/posts\/518\/revisions"}],"wp:attachment":[{"href":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/wp-json\/wp\/v2\/media?parent=518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/wp-json\/wp\/v2\/categories?post=518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/exampracticetests.com\/aws\/Machine_Learning-Specialty_MLS-C01\/wp-json\/wp\/v2\/tags?post=518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}