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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-certified-data-engineer-associate-dea-c01-practice-test/
课程评论:没有评论
课程名称:AWS认证数据工程师助理:DEA-C01模拟考试 课程概述: 本课程为您在AWS认证之旅中提供技术支持,欢迎通过问答功能提出任何问题。同时,我们为您提供30天退款保证。 课程特点: 1. **与真实考试的对齐**:模拟题目反映了实际考试的内容、难度和格式,使您能准确评估自身知识水平,并熟悉考试结构。 2. **全面覆盖**:模拟考试涵盖了所有可能出现在真实测试中的主要主题和概念。 3. **不同难度等级**:题目包括易、中、难多种难度,模拟真实考试体验,帮助识别您的强项和弱点。 4. **详尽解释**:每道题目的答案均提供清晰简洁的解释,帮助您理解答案的对错,巩固知识,不仅限于记忆。 认证价值: - **验证专业技能**:获得业内认可的认证,证明您在AWS上的数据工程能力。 - **职业发展**:提升您的可信度,为数据工程领域的职业机会打开新大门。 - **深化AWS技能**:巩固您对AWS数据服务和最佳实践的知识,成为更高效的解决方案架构师。 目标人群: - 数据工程师、数据分析师或相关职位的专业人士,要求具备2-3年数据工程的实际操作经验,包括至少1-2年的AWS服务经验。 考试详情: - **格式**:选择题和多项选择题 - **时长**:130分钟 - **费用**:150美元(模拟考试:20美元) - **语言**:英语、日语、韩语、简体中文 - **及格分数**:700(满分1000) 考试领域及权重: 1. 数据收集与转化(34%):设计数据收集策略和管道,实施ETL流程和编排 2. 存储与数据管理(26%):设计数据存储、选择数据格式,管理数据目录、模式和生命周期 3. 数据操作与支持(22%):运营和维护数据管道,分析数据并确保质量 4. 数据安全与治理(18%):实施认证、授权、加密,建立隐私合规、日志记录 包括在模拟考试中的关键AWS服务: - S3、Athena、Glue、EMR、Kinesis(数据流、数据火hose、数据分析)、Redshift、DynamoDB、RDS、IAM、CloudWatch、Lake Formation 准备资源: - AWS考试指南 - AWS培训与课程 - 模拟考试 - 在线社区与论坛:与其他考生建立学习小组与讨论 建议: - **深入实践经验**:实际操作经验比理论知识更为重要,参与各种AWS数据项目。 - **认真阅读考试指南**:重点关注核心考试领域。 - **利用模拟考试**:熟悉题型并识别薄弱环节。
***You are technically supported in your certification journey - please use Q & A for any query.You are covered with 30-Day Money-Back Guarantee.***Alignment with Real Exam: Questions mirror the content, difficulty level, and format of the actual exam you're preparing for. This lets you gauge your knowledge accurately and get familiar with the exam structure.Comprehensive Coverage: The practice exam cover all major topics and concepts likely to appear on the real test.Varying Difficulty Levels: Include questions with a mix of difficulty levels (easy, medium, hard) to simulate the real exam experience and identify your strengths and weaknesses.Detailed Explanations: Every answer, correct or incorrect with clear, concise explanations. These help you understand why an answer is right/wrong, reinforcing your knowledge beyond simple memorization.Why Consider the DEA-C01 Certification?Validate Expertise: Earn an industry-recognized certification proving your proficiency in data engineering on AWS.Career Advancement: Boost your credibility and open doors to new opportunities within the data engineering field.Deepen Your AWS Skills: Solidify your knowledge of AWS data services and best practices, becoming a more efficient and effective data solutions architect on the platform.Amazon AWS Certified Data Engineer - Associate (DEA-C01) certification:PurposeValidation: This certification validates your knowledge and skills in designing, building, securing, and operating data solutions on AWS.Industry Recognition: AWS certifications are widely recognized, enhancing your credibility as a data engineer.Target AudienceIdeal for: Data engineers, data analysts, or professionals with similar roles who have experience working with AWS data services.Recommended Experience: AWS recommends 2-3 years of hands-on experience in data engineering, including at least 1-2 years of experience with AWS services.Exam DetailsFormat: Multiple-choice and multiple-response questions.Duration: 130 minutesCost: $150 USD (Practice Exam: $20 USD)Languages: English, Japanese, Korean, Simplified ChinesePass Mark: Scaled score of 700 (out of 1000)Domains and WeightingsDomain 1: Data Ingestion and Transformation (34%)Design data collection strategies and pipelinesImplement ETL processes and orchestrationDomain 2: Storage and Data Management (26%)Design data stores, choose data formatsManage data catalogs, schemas, and lifecyclesDomain 3: Data Operations and Support (22%)Operationalize and maintain data pipelinesAnalyze data, ensure qualityDomain 4: Data Security and Governance (18%)Implement authentication, authorization, encryptionEstablish privacy compliance, loggingKey AWS Services Covered in the Practice ExamS3AthenaGlueEMRKinesis (Data Streams, Data Firehose, Data Analytics)RedshiftDynamoDBRDSIAMCloudWatchLake FormationPreparation ResourcesAWS Exam GuideAWS Training and CoursesPractice ExamsOnline Communities and Forums: Connect with other exam takers for study groups and discussions.TipsDeep Hands-on Experience: This is more crucial than theoretical knowledge. Work on various AWS data projects.Exam Guide Thoroughly: It outlines core exam areas to focus your studies.Practice Exams: Use them to get familiar with question styles and identify weak points.