Microsoft Analyzing Data with Microsoft Power BI (DA-100日本語版) : DA-100日本語

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Exam Topics

Microsoft expects that the successful candidates get the passing score of 720 points on a scale of 100-1000. This mark is achievable if you put your mind to it. To succeed, you must understand the Microsoft DA-100 exam topics that are as follows:

1. Data Preparation (20-25%):

This part includes the following areas:

• Collecting data from various data sources: The candidates must be able to connect and identify data sources, alternate data source settings, and choose storage mode and shared datasets, or build local datasets. They also need the capacity to select the relevant query type, utilize parameters, Microsoft Dataverse, create or use PBIDS files, and data flow.
• Cleaning, loading, & transforming data: This subject area requires that the students understand how to combine queries, utilize user-friendly value substitutions, solve data import errors, transform and measure column data types, and configure the data loading. It also covers their skills in applying data shape transformations for table structures and user-friendly conventional naming for queries and columns. The individuals should also have the expertise in leveraging Advanced Editor or modifying Power Query M-code.
• Data profile: The test takers should have competence in interrogating data statistics and column properties as well as identifying data anomalies and evaluating data structures.

If you are a data analyst striving to get your skills validated in the scope of data assets, transformations, and models, then the Microsoft DA-100 exam is the one that will assist you with this.

Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Analyze the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

• Identify outliers
• Enhance reports to expose insights
• Use the Q&A visual
• Use the Key Influencers to explore dimensional variances
• Apply slicers and filters
• Use the decomposition tree visual to break down a measure
• Conduct Time Series analysis
• Use groupings and binnings
• Apply conditional formatting
• Explore statistical summary
• Add a Quick Insights result to a report
• Personalize visuals
• Perform top N analysis
• Create reference lines by using Analytics pane
• Use the Play Axis feature of a visualization
• Apply AI Insights
• Perform advanced analysis

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

Microsoft DA-100日本語 Exam Syllabus Topics: