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Microsoft Certified: Data Analyst Associate DA-100日本語 Braindumps

DA-100日本語

Exam Code: DA-100J

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

Updated: Jul 28, 2026

Q & A: 150 Questions and Answers

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About Microsoft DA-100日本語 Real Exam Collection

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Difficulty in Attempting Exam DA-100: Analyzing Data with Microsoft Power BI

However, if you would like to use different source data/tables in the same project, link them together and perform transformations on the data in Power BI as well, then the level of difficulty increases. Learning this will take of course more time. What we believe will also help is to get a general understanding of how data cleansing works and data integration in general. We offer MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test for this purpose.

Analyzing Data with Microsoft Power BI Certification helps candidates in developing their professionals and academic career and it is a very tough task to pass Microsoft DA-100 exam for those candidates who have not done hard work and get some relevant Microsoft DA-100 exam preparation material. There are many peoples have passed Microsoft DA-100 exam by following these three things such as look for the latest Microsoft DA-100 exam dumps, get relevant MICROSOFT DA-100 exam dumps and develop their knowledge about Microsoft DA-100 exam new questions. At the same time, it can also stress out some people as they found passing Microsoft DA-100 exam a tough task. It is just a wrong assumption as many of the peoples have passed Microsoft DA-100 exam questions. All you have to do is to work hard, get some relevant Microsoft DA-100 exam preparation material and go thoroughly from them.

Compared to other visualization tools we would recommend that Power BI is quite user friendly and is relatively easy to learn. What also contributes to this is that the Power BI desktop version is available for free, resulting in a pretty large user base on the internet, which is beneficial to your learning curve, as in our experience answers to particular questions can be found easily most of the times.

Exam DA-100: Analyzing Data with Microsoft Power BI

Data Analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As a subject matter expert, Data Analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. Data Analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.

The Data Analyst should have a fundamental understanding of data repositories and data processing both on-premises and in the cloud.

Part of the requirements for: Microsoft Certified: Data Analyst Associate

Download exam skills outline

5. Deliverables Deployment and Maintenance (10-15%):

The topics for this part are the following:

  • 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.
  • 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.

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

3. Data Visualization (20-25%):

Here the candidates have to show their knowledge of:

  • Creating reports: The examinees must be able to demonstrate their skills in importing custom visuals, configuring and formatting visualization, designing and configuring accessibility, and configuring automatic page refresh. This topic also requires competence in applying filtering and slicing, selecting suitable visualization types, and including visualization items in reports.
  • Creating dashboards:This domain will measure the individuals’ skills in managing tiles within a dashboard, setting mobile view, adding dashboard themes, configuring data classification, configuring data alerts, and using Q&A features.
  • Enriching reports for Usage: This area requires that the test takers develop competence in configuring bookmarks, creating custom tooltips, configuring Sync Slicers, and navigation for reports. It also covers their skills in exporting report data, utilizing selection pane, drill-through & cross filter.

Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Model the data30%- Design a data model
  • 1. Define quick measures
  • 2. Configure table and column properties
  • 3. Define the tables
  • 4. Define a relationship's cross-filter direction and security filtering
  • 5. Design and implement role-playing dimensions
- Create measures by using DAX
  • 1. Create calculated measures
  • 2. Use DAX logical functions
  • 3. Create semi-additive measures
  • 4. Implement Time Intelligence using DAX
  • 5. Use DAX aggregation functions
- Optimize model performance
  • 1. Improve performance by identifying and removing unnecessary rows and columns
  • 2. Improve performance by choosing optimal data types
  • 3. Optimize Power Query transformations
- Develop a data model
  • 1. Create calculated columns
  • 2. Create calculated tables
  • 3. Implement row-level security roles
  • 4. Create hierarchies
Visualize the data25%- Create reports
  • 1. Configure conditional formatting
  • 2. Import a custom visual
  • 3. Apply slicing and filtering
  • 4. Choose an appropriate visualization type
  • 5. Create and manage bookmarks
  • 6. Format and configure visualizations
  • 7. Add visualization items to reports
- Create dashboards
  • 1. Configure data alerts
  • 2. Set mobile view
  • 3. Manage tiles on a dashboard
  • 4. Use the Q&A feature
- Enforce accessibility
  • 1. Design accessible reports
  • 2. Configure tab order
  • 3. Use accessibility features
Deploy and maintain deliverables10%- Manage datasets
  • 1. Configure cross-workspace sharing
  • 2. Configure a dataset scheduled refresh
  • 3. Configure row-level security group membership
  • 4. Provide access to datasets
- Create and manage workspaces
  • 1. Create and configure a workspace
  • 2. Configure and update a workspace app
  • 3. Assign workspace roles
Prepare the data20%- Profile the data
  • 1. Identify data anomalies
  • 2. Interpret data distribution and variance
  • 3. Examine data structures
- Get data from different data sources
  • 1. Identify and connect to a data source
  • 2. Select a shared dataset or create a local dataset
  • 3. Select a storage mode
  • 4. Choose an appropriate Power BI data source
  • 5. Change data source settings
- Transform and load the data
  • 1. Select appropriate column data types
  • 2. Design a star schema
  • 3. Create and transform columns
  • 4. Define relationship cardinality and cross-filter direction
  • 5. Create and transform tables
- Clean the data
  • 1. Resolve data import errors
  • 2. Resolve inconsistencies, unexpected or null values, and data quality issues
  • 3. Evaluate data, including data statistics and column properties
Analyze the data15%- Enhance reports for usability and storytelling
  • 1. Configure navigation for a report
  • 2. Create custom tooltips
  • 3. Configure sync slicers
  • 4. Edit and configure interactions between visuals
  • 5. Configure bookmarks
  • 6. Apply sorting
  • 7. Group and layer visuals
- Perform advanced analysis
  • 1. Perform What-if analysis
  • 2. Identify outliers
  • 3. Use advanced analytical custom visuals
  • 4. Use the Analyze feature
DA-100日本語 Braindumps DA-100日本語 Practice Test DA-100日本語 examcollection DA-100日本語 Real Dumps

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