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It organizes critical learning resources into four specific domains: Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations. The guide provides direct links and references to essential AWS documentation, whitepapers, SageMaker tutorials, and hands-on lab exercises, enabling candidates to systematically master cloud-based machine learning workflows, model tuning, and deployment best practices.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":20,"@type":76,"position":81},"https://docshare.wps.com/document/exam/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/aws-certified-machine-learning-specialty-exam-preparation-guide/317441/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/aws-certified-machine-learning-specialty-exam-preparation-guide/317441.png","ImageObject",300,407,{"name":92,"@type":93},"McGucket","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-29","2026-09-20",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",13,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"Which core AWS service is featured most prominently throughout the exam domains?","Question",{"text":113,"@type":114},"Amazon SageMaker is the central service, with modules covering its operation, model tuning, deployment, and hosting capabilities.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What are the four primary domains covered in this AWS certification preparation guide?",{"text":118,"@type":114},"The domains are Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations.",{"name":120,"@type":111,"acceptedAnswer":121},"Which services are recommended for candidates to review beyond Amazon SageMaker?",{"text":122,"@type":114},"Candidates should also focus on AWS Glue, Amazon EMR, Amazon Kinesis, AWS Deep Learning AMIs, Amazon Rekognition, Amazon Polly, and Amazon Comprehend.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},317441,1790087197,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":19,"category_name":20,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":81,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":39,"preview_page_count":4},1236954412713,"https://us-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","Exam Prep for AWS Certified Machine Learning Specialty  \nDomain 0  \nExam Details / Overview  \nExam Guide  \nSample Questions  \nML Whitepapers  \nAWS General Documentation  \nML Ramp Up Guide  \nAWS Labs  \nAI/ML Blogs  \nDomain 1-Data Engineering  \nHow SageMaker Works  \nEnd to end example with Amazon SageMaker Amazon Kinesis  \nSageMaker + Kinesis for Video Streams  \nExam Prep for AWS Certified Machine Learning Specialty ©2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.  \nDomain 2-Exploratory Data Analysis  \n\n| AWS Glue\u003Cbr>Understand Feature Engineering/Processing SageMaker Autopilot\u003Cbr>PreProcess Data\u003Cbr>Domain 3 – Modeling |\n| --- |\n| Creating Models with AMazon SageMaker Lab\u003Cbr>Understand Confusion Rule\u003Cbr>Understand Confusion Matrix\u003Cbr>SageMaker: How Model Tuning Works\u003Cbr>Domain 4-Machine Learning Implementation and Operations |\n| Deploying and Hosting a Model with SageMaker Monitoring your Model with SageMaker Deployment Best Practices\u003Cbr>Monitoring with CloudWatch\u003Cbr>Services to know |\n\nExam Prep for AWS Certified Machine Learning Specialty ©2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.  \nAWS Glue  \nAmazon EMR  \nAmazon Kinesis  \nAmazon SageMaker  \nAWS Deep Learning AMIs Amazon Rekognition  \nAmazon Polly  \nAmazon Comprehend  \nExam Prep for AWS Certified Machine Learning Specialty ©2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.","cbCaicGukOV8nAHV","https://ap.wps.com/l/cbCaicGukOV8nAHV","pdf",144741,"English","# Exam Overview\n## Resources and Study Guides\n# Domain Domains\n## Domain 1: Data Engineering\n## Domain 2: Exploratory Data Analysis\n## Domain 3: Modeling\n## Domain 4: Machine Learning Implementation and Operations\n# Key Services for Review","[{\"question\":\"Which core AWS service is featured most prominently throughout the exam domains?\",\"answer\":\"Amazon SageMaker is the central service, with modules covering its operation, model tuning, deployment, and hosting capabilities.\"},{\"question\":\"What are the four primary domains covered in this AWS certification preparation guide?\",\"answer\":\"The domains are Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations.\"},{\"question\":\"Which services are recommended for candidates to review beyond Amazon SageMaker?\",\"answer\":\"Candidates should also focus on AWS Glue, Amazon EMR, Amazon Kinesis, AWS Deep Learning AMIs, Amazon Rekognition, Amazon Polly, and Amazon Comprehend.\"}]","AWS Certified Machine Learning Specialty - Exam Preparation Guide | PDF",1789932815]