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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ultimate-practice-test-aws-certified-data-engineer-associate/
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课程名称：AWS认证数据工程师助理DEA-C01模拟测试 课程概述： 欢迎参加AWS认证数据工程师助理（DEA-C01）模拟测试2024。您准备好通过AWS认证数据工程师助理（DEA-C01）考试了吗？通过自我测试来确认您的准备情况！本模拟测试包含90道题目，旨在帮助您确认对相关知识的掌握，并增强您参加数据工程师助理考试所需的信心。模拟测试旨在为您准备AWS认证数据工程师助理（DEA-C01）考试，但并不保证成功！模拟测试模拟了实际考试的时间限制，让您了解自己在规定时间内完成实际考试的能力。 AWS认证数据工程师助理（DEA-C01）考试验证候选人实施数据管道的能力，并监控、排除故障、优化成本和性能问题，符合最佳实践。考试还验证候选人完成以下任务的能力： - 吸收和转换数据，编排数据管道，同时应用编程概念。 - 选择最佳数据存储，设计数据模型，编目数据架构，管理数据生命周期。 - 操作、维护和监控数据管道，分析数据并确保数据质量。 - 实施适当的认证、授权、数据加密、隐私和治理，并启用日志记录。 考试内容领域及权重： - 领域1：数据吸收与转换（占成绩内容的34%） - 领域2：数据存储管理（占成绩内容的26%） - 领域3：数据操作与支持（占成绩内容的22%） - 领域4：数据安全与治理（占成绩内容的18%）
Welcome to the AWS Certified Data Engineer - Associate (DEA-C01) Practice Test 2024.Are you ready to pass the AWS Certified Data Engineer - Associate (DEA-C01) exam? Find out by testing yourself! This practice test includes 90 questions to help you confirm your mastery of the topics and provide the confidence you'll need to take your Data Engineer Associate exam.The Practice Sets are designed to help prepare you for the AWS Certified Data Engineer - Associate (DEA-C01) exam, but they do not guarantee success!The Practice Tests simulate the actual exam with time so that you would know if you can complete the actual exam within the allotted time.The 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. The exam also validates a candidate's ability to complete the following tasks: • Ingest and transform data, and orchestrate data pipelines while applying programming concepts.• Choose an optimal data store, design data models, catalog data schemas, and manage data lifecycles. • Operationalize, maintain, and monitor data pipelines. Analyze data and ensure data quality. • Implement appropriate authentication, authorization, data encryption, privacy, and governance. Enable logging.The exam has the following content domains and weightings: • Domain 1: Data Ingestion and Transformation (34% of scored content) • Domain 2: Data Store Management (26% of scored content) • Domain 3: Data Operations and Support (22% of scored content) • Domain 4: Data Security and Governance (18% of scored content)
