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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dp-500-azure-enterprise-data-analyst-associate-exam-k/
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课程名称:DP-500:Azure企业数据分析师助理考试:2025 课程概述:希望成为DP-500:Azure企业数据分析师助理吗?这门实践测试课程为您提供通过认证考试所需掌握的重要主题。DP-500认证是一项备受追捧的认证,旨在帮助具备解决方案经验的专业人士提升技能。该认证的一个重要特点是实践考试,涵盖了最新的课程大纲,为考生提供了对官方考试内容的全面概述。这项实践考试是考生评估自身准备情况和识别需要集中训练领域的重要工具。该认证主题广泛,包括设计和解决方案,并测试考生优化性能和确保应用程序可靠性的能力。 通过参加这项实践测试,您将能够评估自己的知识和技能,并找出需要进一步加强的领域。考试问题的设计模拟了实际认证考试的格式和难度,让您对考试日的情况有真实的理解。练习此测试将增强您的信心,更好地为认证考试做准备,提高您首次通过的机会。此外,该DP-500实践考试与实际认证考试的时间限制相同,帮助考生培养重要的时间管理技能,确保他们能够在规定时间内完成考试。 考试信息概述: - 考试名称:微软认证 - Azure企业数据分析师助理 - 考试代码:DP-500 - 考试费用:165美元 - 语言:英语、日语、韩语和简体中文 - 考试形式:多项选择,多个答案 - 题目数量:40-60(预计) - 考试时长:150分钟 - 通过分数:700-1000分 课程大纲涵盖的主题包括: 1. 实施和管理数据分析环境(25-30%) 2. 查询和转换数据(20-25%) 3. 实施和管理数据模型(25-30%) 4. 探索和可视化数据(20-25%) 该实践考试可在线完成,考生可在家或办公室进行,提供灵活性,便于适应繁忙日程。无论您是想进入市场的初学者,还是希望验证技能的资深专业人士,这项实践测试都是帮助您实现认证目标的理想工具。立即开始您的认证之旅,迈出成功的第一步!
Want to become DP-500: Azure Enterprise Data Analyst Associate? Look no further. This practice test DP-500: Azure Enterprise Data Analyst Associate covers all the important topics you need to master to pass the certification exam. DP-500: Azure Enterprise Data Analyst Associate Certification is a highly sought-after certification for individuals who want to demonstrate their competency in the DP-500: Azure Enterprise Data Analyst Associate field. This certification is designed for professionals who have solution experience and want to improve their skills through practice. One of the key features of this certification is the practice exam. It covers the latest syllabus and provides candidates with a comprehensive overview of the topics covered in the official exam. This practice exam is an important tool for candidates who want to assess their readiness and identify areas where they need to focus their training. DP-500: Azure Enterprise Data Analyst Associate This certification covers a wide range of topics including design and solutions. Candidates are also tested on their ability to optimize the performance and ensure the reliability of applications that run on DP-500: Azure Enterprise Data Analyst Associate. Taking this practice test will enable you to assess your knowledge and skills and identify areas where you need to focus more. The practice exam questions are designed to mimic the format and difficulty of the actual certification exam to give you a realistic idea. What to expect on exam day. Practicing this test will boost your confidence, prepare you better for your certification exam, and increase your chances of passing on the first try. This DP-500: Azure Enterprise Data Analyst Associate practice exam also has a time limit that is the same as the time limit on the actual certification exam. This feature helps candidates develop important time management skills and ensure they can complete the exam within the allotted time. Practicing with a limited amount of time can boost candidates' confidence and reduce the chances of them feeling overwhelmed during the actual exam. DP-500: Azure Enterprise Data Analyst Associate Exam Summary:Exam Name: Microsoft Certified - Azure Enterprise Data Analyst AssociateExam code: DP-500Exam voucher cost: $165 USDExam languages: English, Japanese, Korean, and Simplified ChineseExam format: Multiple-choice, multiple-answerNumber of questions: 40-60 (estimate)Length of exam: 150minutesPassing grade: Score is from 700-1000.DP-500: Azure Enterprise Data Analyst Associate Exam Syllabus Topics:Implement and manage a data analytics environment (25-30%)Query and transform data (20-25%)Implement and manage data models (25-30%)Explore and visualize data (20-25%)# Implement and manage a data analytics environment (25-30%)Govern and administer a data analytics environmentManage Power BI assets by using Microsoft PurviewIdentify data sources in Azure by using Microsoft PurviewRecommend settings in the Power BI admin portalRecommend a monitoring and auditing solution for a data analytics environment, including Power BI REST API and PowerShell cmdletsIntegrate an analytics platform into an existing IT infrastructureIdentify requirements for a solution, including features, performance, and licensing strategyConfigure and manage Power BI capacityRecommend and configure an on-premises gateway type for Power BIRecommend and configure a Power BI tenant or workspace to integrate with Azure Data Lake Storage Gen2Integrate an existing Power BI workspace into Azure Synapse AnalyticsManage the analytics development lifecycleCommit Azure Synapse Analytics code and artifacts to a source control repositoryRecommend a deployment strategy for Power BI assetsRecommend a source control strategy for Power BI assetsImplement and manage deployment pipelines in Power BIPerform impact analysis of downstream dependencies from dataflows and datasetsRecommend automation solutions for the analytics development lifecycle, including Power BI REST API and PowerShell cmdletsDeploy and manage datasets by using the XMLA endpointCreate reusable assets, including Power BI template (.pbit) files, Power BI data source (.pbids) files, and shared datasets# Query and transform data (20-25%)Query data by using Azure Synapse AnalyticsIdentify an appropriate Azure Synapse pool when analyzing dataRecommend appropriate file types for querying serverless SQL poolsQuery relational data sources in dedicated or serverless SQL pools, including querying partitioned data sourcesUse a machine learning PREDICT function in a queryIngest and transform data by using Power BIIdentify data loading performance bottlenecks in Power Query or data sourcesImplement performance improvements in Power Query and data sourcesCreate and manage scalable Power BI dataflowsIdentify and manage privacy settings on data sourcesCreate queries, functions, and parameters by using the Power Query Advanced EditorQuery advanced data sources, including JSON, Parquet, APIs, and Azure Machine Learning models# Implement and manage data models (25-30%)Design and build tabular modelsChoose when to use DirectQuery for Power BI datasetsChoose when to use external tools, including DAX Studio and Tabular Editor 2Create calculation groupsWrite calculations that use DAX variables and functions, for example handling blanks or errors, creating virtual relationships, and working with iteratorsDesign and build a large format datasetDesign and build composite models, including aggregationsDesign and implement enterprise-scale row-level security and object-level securityOptimize enterprise-scale data modelsIdentify and implement performance improvements in queries and report visualsTroubleshoot DAX performance by using DAX StudioOptimize a data model by using Tabular Editor 2Analyze data model efficiency by using VertiPaq AnalyzerOptimize query performance by using DAX StudioImplement incremental refresh (including the use of query folding)Optimize a data model by using denormalization# Explore and visualize data (20-25%)Explore data by using Azure Synapse AnalyticsExplore data by using native visuals in Spark notebooksExplore and visualize data by using the Azure Synapse SQL results paneVisualize data by using Power BICreate and import a custom report themeCreate R or Python visuals in Power BIConnect to and query datasets by using the XMLA endpointDesign and configure Power BI reports for accessibilityEnable personalized visuals in a reportConfigure automatic page refreshCreate and distribute paginated reports in Power BI Report Builder Additionally, this practice exam is available online, giving candidates peace of mind. 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