|
via Udemy |
Go to Course: https://www.udemy.com/course/aws-certified-data-analytics-specialty-das-c01-practice/
AWS Certified Data Analytics Specialty DAS-C01 is a comprehensive certification program designed for professionals seeking to validate their expertise in data analytics on the Amazon Web Services (AWS) platform. This certification is ideal for individuals who work with big data technologies and want to demonstrate their ability to design, build, secure, and maintain analytics solutions on AWS.DAS-C01 certification covers a wide range of topics related to data analytics, including data collection, storage, processing, and visualization. Candidates will learn how to leverage AWS services such as Amazon S3, Amazon Redshift, Amazon Athena, and Amazon Quick-sight to build scalable and cost-effective data analytics solutions. They will also gain knowledge on data governance, data security, and compliance best practices to ensure the integrity and confidentiality of data.AWS Certified Data Analytics Specialty DAS-C01 certification, professionals can enhance their career prospects and demonstrate their proficiency in the rapidly growing field of data analytics. This certification validates their ability to analyze complex datasets, derive meaningful insights, and make data-driven decisions. Employers value individuals with this certification as it signifies their expertise in leveraging AWS services to extract valuable information from large volumes of data. Whether working in industries such as finance, healthcare, e-commerce, or marketing, professionals with the DAS-C01 certification will have a competitive edge in the job market and be well-equipped to tackle the challenges of data analytics in the AWS ecosystem.AWS Certified Data Analytics Specialty Exam details: Number of Questions, Time, and language-Exam Name: AWS Certified Data Analytics - Specialty (Data Analytics Specialty)Exam code: DAS-C01Exam voucher cost: $300 USDExam languages: English, Japanese, Korean, and Simplified ChineseExam format: Multiple-choice, multiple-answerNumber of questions: 65 (estimate)Length of exam: 180 minutesPassing grade: 750 / 1000Exam Topics covered in AWS Certified Data Analytics Specialty Certification Exams skill questions:-Collection 18%Storage and Data Management 22%Processing 24%Analysis and Visualization 18%Security 18%#) CollectionDetermine the operational characteristics of the collection systemSelect a collection system that handles the frequency, volume, and source of dataSelect a collection system that addresses the key properties of data, such as order, format, and compression#) Storage and Data ManagementDetermine the operational characteristics of a storage solution for analyticsDetermine data access and retrieval patternsSelect an appropriate data layout, schema, structure, and formatDefine a data lifecycle based on usage patterns and business requirementsDetermine an appropriate system for cataloging data and managing metadata#) ProcessingDetermine appropriate data processing solution requirementsDesign a solution for transforming and preparing data for analysisAutomate and operationalize a data processing solution#) Analysis and VisualizationDetermine the operational characteristics of an analysis and visualization solutionSelect the appropriate data analysis solution for a given scenarioSelect the appropriate data visualization solution for a given scenario#) SecuritySelect appropriate authentication and authorization mechanismsApply data protection and encryption techniquesApply data governance and compliance controlsAWS Certified Data Analytics Specialty DAS-C01 certification, professionals can enhance their career prospects and open up new opportunities in the rapidly growing field of data analytics. This certification is recognized and respected by employers worldwide, as it validates the skills and knowledge required to effectively analyze and interpret data using AWS services. Whether you are a data engineer, data scientist, or analytics professional, this certification can help you stand out in the competitive job market and showcase your expertise in data analytics on the AWS platform.