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DA-100日本語 pdf
  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Jul 18, 2026
  • Q & A: 150 Questions and Answers
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  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
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  • Exam Code: DA-100日本語
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5. Deliverables Deployment and Maintenance (10-15%):

The topics for this part are the following:

  • Workspaces creation and management: The test takers must have competence in assigning workspace roles, using deployment pipeline, updating and configuring workspace apps, and applying sensitivity labels for workspace content. It also requires their skills in importing, updating, and publishing assets in workspaces, as well as recommending the development lifecycle strategy.
  • Datasets management: In the framework of this subtopic, the applicants will be evaluated based on their skills in configuring incremental refresh settings, dataset scheduled refresh, and group membership for row-level security. It will also measure their skills in providing access to the datasets and certifying or promoting Power BI content.

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DA-100日本語 exam dumps

About Data Analyst Associate and Who It Is Intended for

The Microsoft Certified: Data Analyst Associate is earned by passing DA-100 and is a role-based intermediate-level certification that falls under the Microsoft Power Platform certification hierarchy and authenticates the data analyst's expertise in utilizing Microsoft Power BI in maximizing the businesses' data assets value. The earner of this certificate will be competent to design and develop scalable data models along with cleaning and transformation of data to provide business values through data visualizations. Overall, this certification will be beneficial for data analysts in broadening their technological prowess and the values that they provide for businesses.

Conclusion: Getting Microsoft Certified Is Challenging But Possible!

The Microsoft Certified: Data Analyst Associate certificate will help secure a career as a data analyst, which will come with it a high paycheck and different career opportunities. However, achieving this certification won’t be easy as one needs to overcome DA-100 (Analyzing Data with Microsoft Power BI) exam. But, with a huge number of study guides available on Amazon and the official MS training course, passing this test is going to be that much easier.

How to Prepare for Exam DA-100: Analyzing Data with Microsoft Power BI

Preparation Guide for Exam DA-100: Analyzing Data with Microsoft Power BI

Introduction for Exam DA-100: Analyzing Data with Microsoft Power BI

Analyzing Data with Microsoft Power BI certification demonstrates your expertise in analyzing data with both Power BI. This certification is for data analysts who are responsible for designing and building scalable data models, cleaning, transforming, and analyzing data. The exam includes questions about Data preparation, tools, queries and tables, visualization types and support, dashboards creation. Data Analysts also collaborate with IT and business teams to ensure that data analysis is providing business value.

RealValidExam offers detailed exam dumps and MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test to prepare candidates, who are going to be data analysts in the future, to prepare and pass this exam in the first go.

Exam DA-100: Analyzing Data with Microsoft Power BI will allow you to learn:

  • Perform Quick Data Analysis with Power BI

With the help of Power BI, you can collect your company's data, whether it's located in the cloud or locally, and provides quick and easy access to this data - all without having to ask any human being for help.

  • Generate Accurate Interactive reporting

Your customers can see all data on one screen and the Power BI Mobile apps are automatically updated with changes to your data so you can access updated data and reports, no matter where you are.

  • Financial overview

Companies of a certain size can benefit from Power BI's analytical reporting features and the ability to access their data across multiple devices.

  • How Power BI is user friendly

With the help of Power BI innovative tools, you can easily find out what data you want to see and how the results will look like. The tool allows you to switch between different formats in order to give you a more visual representation of your data. Power BI can also connect to a wide variety of databases and information sources, including cloud-based sources such as Azure SQL Database, Oracle, Salesforce.com, Amazon Redshift, Dropbox Business, Google Analytics Premium, and Tableau Online.

  • Power BI Data Visualization

Power BI makes productive and creative. You no longer need to go through complex processes without leaving the Power BI interface. The benefit of this process is that you can, as a company, focus on the data and actions of your customers rather than creating lengthy reports and documents to satisfy them. It combines data from multiple sources into a single, standardized, format.

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

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Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prepare the data20%- Clean the data
  • 1. Evaluate data, including data statistics and column properties
  • 2. Resolve data import errors
  • 3. Resolve inconsistencies, unexpected or null values, and data quality issues
- Transform and load the data
  • 1. Create and transform tables
  • 2. Select appropriate column data types
  • 3. Design a star schema
  • 4. Define relationship cardinality and cross-filter direction
  • 5. Create and transform columns
- Profile the data
  • 1. Examine data structures
  • 2. Identify data anomalies
  • 3. Interpret data distribution and variance
- Get data from different data sources
  • 1. Select a shared dataset or create a local dataset
  • 2. Identify and connect to a data source
  • 3. Select a storage mode
  • 4. Change data source settings
  • 5. Choose an appropriate Power BI data source
Topic 2: Analyze the data15%- Perform advanced analysis
  • 1. Use advanced analytical custom visuals
  • 2. Use the Analyze feature
  • 3. Identify outliers
  • 4. Perform What-if analysis
- Enhance reports for usability and storytelling
  • 1. Group and layer visuals
  • 2. Configure bookmarks
  • 3. Configure navigation for a report
  • 4. Edit and configure interactions between visuals
  • 5. Configure sync slicers
  • 6. Create custom tooltips
  • 7. Apply sorting
Topic 3: Visualize the data25%- Enforce accessibility
  • 1. Use accessibility features
  • 2. Design accessible reports
  • 3. Configure tab order
- Create dashboards
  • 1. Manage tiles on a dashboard
  • 2. Configure data alerts
  • 3. Use the Q&A feature
  • 4. Set mobile view
- Create reports
  • 1. Format and configure visualizations
  • 2. Apply slicing and filtering
  • 3. Choose an appropriate visualization type
  • 4. Configure conditional formatting
  • 5. Create and manage bookmarks
  • 6. Add visualization items to reports
  • 7. Import a custom visual
Topic 4: Deploy and maintain deliverables10%- Create and manage workspaces
  • 1. Create and configure a workspace
  • 2. Configure and update a workspace app
  • 3. Assign workspace roles
- Manage datasets
  • 1. Configure a dataset scheduled refresh
  • 2. Configure cross-workspace sharing
  • 3. Provide access to datasets
  • 4. Configure row-level security group membership
Topic 5: Model the data30%- Optimize model performance
  • 1. Optimize Power Query transformations
  • 2. Improve performance by choosing optimal data types
  • 3. Improve performance by identifying and removing unnecessary rows and columns
- Develop a data model
  • 1. Create calculated tables
  • 2. Create hierarchies
  • 3. Implement row-level security roles
  • 4. Create calculated columns
- Design a data model
  • 1. Configure table and column properties
  • 2. Define a relationship's cross-filter direction and security filtering
  • 3. Define quick measures
  • 4. Design and implement role-playing dimensions
  • 5. Define the tables
- Create measures by using DAX
  • 1. Use DAX logical functions
  • 2. Implement Time Intelligence using DAX
  • 3. Use DAX aggregation functions
  • 4. Create semi-additive measures
  • 5. Create calculated measures

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