PL-300: Microsoft Power BI Data Analyst Exams Practice Test

所在平台: Udemy

课程主页: https://www.udemy.com/course/pl-300-microsoft-power-bi-data-analyst-exams-practice-test/

课程评论:没有评论

第一个写评论        关注课程

课程简介

课程名称:PL-300:Microsoft Power BI 数据分析师认证考试实践测试 课程概述:Microsoft Power BI 数据分析师助理认证旨在帮助想要在使用 Power BI 平台进行数据分析领域出类拔萃的个人。该认证验证分析数据、创建可视化以及利用 Power BI 分享见解所需的技能和知识。获得该认证后,专业人员可以展示将原始数据转化为有意义和可行见解的专业能力。 该认证涵盖的数据建模、数据可视化和数据分析技术等多个主题。学员将学习如何连接各种数据源、清理和转换数据,以及创建互动仪表板和报告。同时,将掌握 Power BI 的高级功能,如 DAX(数据分析表达式)公式和 Power Query。 Microsoft Power BI 数据分析师助理实践考试是一个全面且可靠的资源,旨在帮助有志于成为数据分析师的人士准备官方认证考试。该实践考试专门设计用于评估候选人在使用 Power BI 方面的知识和技能,涵盖数据建模、数据可视化和数据分析的广泛主题。考试题型多样,包括单选题、多选题、情景题和拖放题,模拟真实的考试体验。 通过参加该实践考试,候选人可以获得对自己 Power BI 使用水平的深入理解,考试提供每个问题的详细解释,帮助候选人识别需要改进的领域,并针对性地进行学习。通过练习,候选人可以增强自信心,提升首次通过官方认证考试的机会。 Microsoft Power BI 数据分析师(PL-300)认证考试细节: - 考试名称:Microsoft Certified - Power BI 数据分析师助理 - 考试代码:PL-300 - 考试费用:165美元 - 题目数量:最多40-60题 - 题型:多项选择题(单选和多选)、拖放题和基于表现的题目 - 考试时长:180分钟 - 语言:英语、德语和日语 - 及格分数:700 / 1000 - 预约考试:Pearson VUE 获取 Microsoft Power BI 数据分析师助理认证,可以显著提升个人在数据分析领域的职业前景。该认证在全球范围内被广泛认可,雇主对拥有此认证的专业人员给予高度重视。在数据驱动决策日益重要的背景下,企业正在寻求能够有效分析数据并提供宝贵见解的专业人士。通过这一认证,个体将获得在该领域出色的技能和知识,使他们成为任何组织的宝贵资产。无论您是数据分析师、商业智能专业人员还是有志成为数据科学家的人员,该认证都能帮助您在职业生涯中更进一步。

课程评论(0条)

课程详情

Microsoft Power BI Data Analyst Associate certification is designed for individuals who want to excel in the field of data analysis using the Power BI platform. This certification validates the skills and knowledge required to analyze data, create visualizations, and share insights using Power BI. With this certification, professionals can demonstrate their expertise in transforming raw data into meaningful and actionable insights.Power BI Data Analyst Associate certification covers a wide range of topics, including data modeling, data visualization, and data analysis techniques. Candidates will learn how to connect to various data sources, clean and transform data, and create interactive dashboards and reports. They will also gain proficiency in using advanced features of Power BI, such as DAX (Data Analysis Expressions) formulas and Power Query.Microsoft Power BI Data Analyst Associate Practice Exam is a comprehensive and reliable resource designed to help aspiring data analysts prepare for the official certification exam. This practice exam is specifically tailored to assess the candidate's knowledge and skills in using Microsoft Power BI, a powerful business intelligence tool used for data visualization and analysis.This practice exam covers a wide range of topics, including data modeling, data visualization, and data analysis using Power BI. It includes a variety of question types, such as multiple-choice, scenario-based, and drag-and-drop, to simulate the actual exam experience. Each question is carefully crafted to test the candidate's understanding of Power BI concepts, as well as their ability to apply these concepts in real-world scenarios.Microsoft Power BI Data Analyst Associate Practice Exam, candidates can gain valuable insights into their strengths and weaknesses in using Power BI. The exam provides detailed explanations for each question, allowing candidates to understand the reasoning behind the correct answers. This feedback helps candidates identify areas where they need to improve and focus their study efforts accordingly. By practicing with this exam, candidates can build their confidence and increase their chances of passing the official certification exam on their first attempt.Microsoft Power BI Data Analyst (PL-300) Certification Practice Exam details:Exam Name: Microsoft Certified - Power BI Data Analyst AssociateExam Code: PL-300Exam Fee $165 (USD)Number of Questions: Maximum of 40-60 questions,Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,Length of Test: 180 Minutes. The exam is available in English, German, and Japanese languages.Passing Score 700 / 1000Languages: English at launch.Schedule Exam: Pearson VUEMicrosoft Power BI Data Analyst (PL-300) Certification Exams skill questions:#) Prepare the data (25-30%)Get data from data sourcesIdentify and connect to a data sourceChange data source settings, including credentials, privacy levels, and data source locationsSelect a shared dataset, or create a local datasetChoose between DirectQuery, Import, and Dual modeChange the value in a parameterClean the dataEvaluate data, including data statistics and column propertiesResolve inconsistencies, unexpected or null values, and data quality issuesResolve data import errorsTransform and load the dataSelect appropriate column data typesCreate and transform columnsTransform a queryDesign a star schema that contains facts and dimensionsIdentify when to use reference or duplicate queries and the resulting impactMerge and append queriesIdentify and create appropriate keys for relationshipsConfigure data loading for queries#) Model the data (25-30%)Design and implement a data modelConfigure table and column propertiesImplement role-playing dimensionsDefine a relationship's cardinality and cross-filter directionCreate a common date tableImplement row-level security rolesCreate model calculations by using DAXCreate single aggregation measuresUse CALCULATE to manipulate filtersImplement time intelligence measuresIdentify implicit measures and replace with explicit measuresUse basic statistical functionsCreate semi-additive measuresCreate a measure by using quick measuresCreate calculated tablesOptimize model performanceImprove performance by identifying and removing unnecessary rows and columnsIdentify poorly performing measures, relationships, and visuals by using Performance AnalyzerImprove performance by choosing optimal data typesImprove performance by summarizing data#) Visualize and analyze the data (25-30%)Create reportsIdentify and implement appropriate visualizationsFormat and configure visualizationsUse a custom visualApply and customize a themeConfigure conditional formattingApply slicing and filteringConfigure the report pageUse the Analyze in Excel featureChoose when to use a paginated reportEnhance reports for usability and storytellingConfigure bookmarksCreate custom tool-tipsEdit and configure interactions between visualsConfigure navigation for a reportApply sortingConfigure sync slicersGroup and layer visuals by using the Selection paneDrill down into data using interactive visualsConfigure export of report content, and perform an exportDesign reports for mobile devicesIncorporate the Q & A feature in a reportIdentify patterns and trendsUse the Analyze feature in Power BIUse grouping, binning, and clusteringUse AI visualsUse reference lines, error bars, and forecastingDetect outliers and anomaliesCreate and share scorecards and metrics#) Deploy and maintain assets (15-20%)Create and manage work-spaces and assetsCreate and configure a workspaceAssign workspace rolesConfigure and update a workspace appPublish, import, or update assets in a workspaceCreate dashboardsChoose a distribution methodApply sensitivity labels to workspace contentConfigure subscriptions and data alertsPromote or certify Power BI contentManage global options for filesManage datasetsIdentify when a gateway is requiredConfigure a dataset scheduled refreshConfigure row-level security group membershipProvide access to datasetsBy earning the Microsoft Power BI Data Analyst Associate certification, individuals can enhance their career prospects in the field of data analysis. This certification is recognized globally and is highly valued by employers. With the increasing demand for data-driven decision-making, organizations are seeking professionals who can effectively analyze data and provide valuable insights. The Power BI Data Analyst Associate certification equips individuals with the skills and knowledge needed to excel in this role, making them valuable assets to any organization. Whether you are a data analyst, business intelligence professional, or aspiring data scientist, this certification can help you take your career to the next level.

课程标签

0人关注该课程

主题相关的课程