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Practice Exams AWS Certified Data Analytics Specialty
Udemy MOOC / Non-credit 0

Practice Exams AWS Certified Data Analytics Specialty

About this course

                                                                                "Everything Explained"                                      "Learn From Experts and Pass your Exam in First Attempt with Confidence"The AWS Certified Data Analytics – Specialty (DAS-C01) exam is intended for individuals who perform a data analytics role. The exam validates a candidate’s ability to use AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. The exam also validates a candidate’s ability to complete the following tasks: • Define AWS data analytics services and understand how they integrate with each other. • Explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization.Content outline This exam includes weightings, content domains, and task statements for the exam.  The exam has the following content domains and weightings: • Domain 1: Collection (18% of scored content) • Domain 2: Storage and Data Management (22% of scored content) • Domain 3: Processing (24% of scored content) • Domain 4: Analysis and Visualization (18% of scored content) • Domain 5: Security (18% of scored content)Sample Exam Questions1) A company ingests a large set of clickstream data in nested JSON format from different sources and stores it in Amazon S3. Data analysts need to analyze this data in combination with data stored in an Amazon Redshift cluster. Data analysts want to build a cost-effective and automated solution for this need. Which solution

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What you'll learn

  • understand AWS data analytics services
  • explain the data lifecycle from collection to visualization
  • familiarize with the exam content domains and question formats

Course objectives

  • help learners pass their certification exam on the first attempt
  • provide insight into AWS services related to data analytics
  • enhance the understanding of analytics solutions
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