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It covers ingesting and transforming data, orchestrating pipelines, selecting and designing data stores and models, managing data lifecycles, ensuring data quality, and operationalizing pipeline maintenance. It also addresses authentication, authorization, encryption, privacy, governance, and logging, plus recommended candidate experience, in-scope services, exam question types, scoring rules, and domain weightings.",{"@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-data-engineer-associate-dea-c01-exam-guide/317444/",{"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-data-engineer-associate-dea-c01-exam-guide/317444.png","ImageObject",300,407,{"name":92,"@type":93},"Mack Lee","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-20",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What does the AWS Certified Data Engineer-Associate (DEA-C01) exam validate?","Question",{"text":113,"@type":114},"It validates the ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance. It also validates key tasks including ingestion, transformation, orchestration, data modeling, operations, data quality, and security-related practices.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What experience and knowledge are recommended for the target candidate?",{"text":118,"@type":114},"The guide targets candidates with 2–3 years of data engineering experience and at least 1–2 years of hands-on AWS service experience. It also recommends general IT knowledge such as ETL pipeline setup, language-agnostic programming concepts, Git basics, and data lake concepts.",{"name":120,"@type":111,"acceptedAnswer":121},"How are questions and scoring handled in the exam?",{"text":122,"@type":114},"The exam includes multiple choice and multiple response questions. It contains 50 scored questions and 15 unscored questions that do not affect the score and are not identified on the exam; unanswered questions are scored as incorrect with no penalty for guessing. Results are reported as a scaled score with a minimum passing score of 720.","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},317444,1790077956,{"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":56,"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":145,"preview_page_count":4},1236954509970,"https://us-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","AWS Certified Data Engineer-Associate (DEA-C01) Exam Guide  \nIntroduction  \nThe AWS Certified Data Engineer-Associate (DEA-C01) exam validates a candidate’s ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices.  \nThe exam also validates a candidate’s ability to complete the following tasks:  \n• Ingest and transform data, and orchestrate data pipelines while applying programming concepts.  \n• Choose an optimal data store, design data models, catalog data schemas, and manage data lifecycles.  \n• Operationalize, maintain, and monitor data pipelines. Analyze data and ensure data quality.  \n• Implement appropriate authentication, authorization, data encryption, privacy, and governance. Enable logging.  \nTarget candidate description  \nThe target candidate should have the equivalent of 2–3 years of experience in data engineering. The target candidate should understand the effects of volume, variety, and velocity on data ingestion, transformation, modeling, security, governance, privacy, schema design, and optimal data store design. Additionally, the target candidate should have at least 1–2 years of hands-on experience with AWS services.  \nRecommended general IT knowledge  \nThe target candidate should have the following general IT knowledge:  \n• Setup and maintenance of extract, transform, and load (ETL) pipelines from ingestion to destination  \n• Application of high-level but language-agnostic programming concepts as required by the pipeline  \n• How to use Git commands for source control  \n• How to use data lakes to store data  \n• General concepts for networking, storage, and compute  \nRecommended AWS knowledge  \nThe target candidate should have the following AWS knowledge:  \n• How to use AWS services to accomplish the tasks listed in the Introduction section of this exam guide  \n• An understanding of the AWS services for encryption, governance, protection, and logging of all data that is part of data pipelines  \n• The ability to compare AWS services to understand the cost, performance, and functional differences between services  \n• How to structure SQL queries and how to run SQL queries on AWS services  \n• An understanding of how to analyze data, verify data quality, and ensure data consistency by using AWS services  \nJob tasks that are out of scope for the target candidate  \nThe following list contains job tasks that the target candidate is not expected to be able to perform. This list is non-exhaustive. These tasks are out of scope for the exam:  \n• Perform artificial intelligence and machine learning (AI/ML) tasks.  \n• Demonstrate knowledge of programming language-specific syntax.  \n• Draw business conclusions based on data.  \nRefer to the Appendix for a list of in-scope AWS services and features and a list of out-of-scope AWS services and features.  \nExam content  \nResponse types  \nThere are two types of questions on the exam:  \n• Multiple choice: Has one correct response and three incorrect responses (distractors)  \n• Multiple response: Has two or more correct responses out of five or more response options  \nSelect one or more responses that best complete the statement or answer the question. Distractors, or incorrect answers, are response options that a candidate withincomplete knowledge or skill might choose. Distractors are generally plausible responses that match the content area.  \nUnanswered questions are scored as incorrect; there is no penalty for guessing. The exam includes 50 questions that affect your score.  \nUnscored content  \nThe exam includes 15 unscored questions that do not affect your score. AWS collects information about performance on these unscored questions to evaluate these questions for future use as scored questions. These unscored questions are not identified on the exam.  \nExam results  \nThe AWS Certified Data Engineer-Associate (DEA-C01) exam has a pass or fail designation. The exam is scored against a minimum s","cbCaigctDTI6mYyM","https://ap.wps.com/l/cbCaigctDTI6mYyM","pdf",166843,"English","# Introduction\n## Target candidate description\n## Recommended general IT knowledge\n## Recommended AWS knowledge\n## Job tasks that are out of scope for the target candidate\n## Exam content\n### Response types\n### Unscored content\n### Exam results\n## Content outline\n### Domain 1: Data Ingestion and Transformation\n## Domain 2: Data Store Management\n## Domain 3: Data Operations and Support\n## Domain 4: Data Security and Governance","[{\"question\":\"What does the AWS Certified Data Engineer-Associate (DEA-C01) exam validate?\",\"answer\":\"It validates the ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance. It also validates key tasks including ingestion, transformation, orchestration, data modeling, operations, data quality, and security-related practices.\"},{\"question\":\"What experience and knowledge are recommended for the target candidate?\",\"answer\":\"The guide targets candidates with 2–3 years of data engineering experience and at least 1–2 years of hands-on AWS service experience. It also recommends general IT knowledge such as ETL pipeline setup, language-agnostic programming concepts, Git basics, and data lake concepts.\"},{\"question\":\"How are questions and scoring handled in the exam?\",\"answer\":\"The exam includes multiple choice and multiple response questions. It contains 50 scored questions and 15 unscored questions that do not affect the score and are not identified on the exam; unanswered questions are scored as incorrect with no penalty for guessing. Results are reported as a scaled score with a minimum passing score of 720.\"}]","AWS Certified Data Engineer-Associate (DEA-C01) Exam Guide | PDF",1789932876,48]