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| Section | Weight | Objectives |
|---|
| Topic 1: Prepare the Data | 10-15% | - Clean, transform, and load the data
- 1. Resolve data quality issues
- 2. Design and build intermediate tables
- 3. Configure data loading and queries
- 4. Determine proper data types
- 5. Profile the data
- 6. Identify the data structure
- 7. Apply user-friendly naming conventions to columns and tables
- Get data from various data sources
- 1. Use Microsoft Fabric and OneLake
- 2. Change data source settings
- 3. Choose between DirectQuery, Import, and Dual storage modes
- 4. Configure dataset refresh
- 5. Select a shared dataset or create a local copy
- 6. Identify and connect to a data source
|
| Topic 2: Visualize the Data | 25-30% | - Build visuals
- 1. Determine the appropriate visual type
- 2. Configure visual interactions and cross-filtering
- 3. Apply sorting and filtering to visuals
- 4. Format and configure pages and report backgrounds
- 5. Configure data colors and shapes
- 6. Apply AI insights and enhanced analytics
- Enrich reports with advanced visuals
- 1. Use dynamic page navigation
- 2. Integrate Microsoft Copilot for Power BI
- 3. Create custom visuals
- 4. Configure R and Python visuals
- Enhance reports for user experience
- 1. Add tooltips and navigation
- 2. Design for mobile and specific layouts
- 3. Apply artistic formatting to visuals
- 4. Add accessibility features and compliance
|
| Topic 3: Manage and Maintain Workspace Items | 10-15% | - Manage datasets
- 1. Manage dataset refresh scheduling
- 2. Configure dataset metadata and properties
- 3. Resolve dataset permission issues
- 4. Manage gateways and data sources
- Create and manage workspaces
- 1. Configure workspace membership and roles
- 2. Configure content certification
- 3. Endorse sensitive content with sensitivity labels
- 4. Publish and update a Power BI app
|
| Topic 4: Analyze the Data | 10-15% | - Perform analysis in Power BI
- 1. Use the Q&A visual
- 2. Configure auto-insights
- 3. Apply Quick Insights
- 4. Generate Pinn visual insights
- 5. Identify patterns and trends
- Work with metrics in Power BI
- 1. Track goals with scorecards
- 2. Create metrics using Microsoft measurements
- 3. Use the Decomposition Tree visual
- 4. Define and monitor KPIs
|
| Topic 5: Model the Data | 25-30% | - Develop the data model
- 1. Implement row-level security roles
- 2. Configure table relationships
- 3. Use the calculation group feature
- 4. Create common date tables
- 5. Create calculated tables and columns
- 6. Build hierarchies and hierarchical fields
- Create measures and DAX calculations
- 1. Implement context transition
- 2. Write and use basic DAX syntax
- 3. Create calculated measures
- 4. Use CALCULATE and FILTER functions
- 5. Use Time Intelligence functions
- 6. Create semi-additive measures
- Optimize model performance
- 1. Optimize Dax queries
- 2. Validate performance and resolve issues
- 3. Optimize DirectQuery models
- 4. Improve user experience by hiding objects
- 5. Configure aggregations
- Design a data model
- 1. Resolve performance issues with relationships
- 2. Implement row-level security
- 3. Determine the appropriate granularity
- 4. Design a star schema or snowflake schema
- 5. Define tables and table schemas
- 6. Apply field metadata and groupings
|
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Microsoft Power BI Data Analyst Sample Questions (Q285-Q290):
NEW QUESTION # 285
You attempt to use power Query Editor to create a custom column and receive the error message shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

NEW QUESTION # 286
You have a table that contains the following three columns:
City
Total Sales
Occupation
You need to create a key influencers visualization as shown in the exhibit. (Click the Exhibit tab.)

How should you configure the visualization? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Total Sales
Box 2: Occupation
Box 3: City
You can use Expand By to add fields you want to use for setting the level of the analysis without looking for new influencers.
Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-influencers
NEW QUESTION # 287
You have the Power Bi dashboard shown in the Dashboard exhibit (Click the Dashboard tab.) You need to ensure that when users view the dashboard on a mobile device, the dashboard appears as shown in the Mobile exhibit. (Click the Mobile tab.) What should you do? To answer, select the appropriate options m the answer area NOTE: Each correct selection is worth one point.
Answer:
Explanation:
see the explanation for the answer.
Explanation
Answer as selected

NEW QUESTION # 288
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.

The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Order table and the Store table on the Store_ID column.
What should you do before you create the relationship?
- A. In the Order table query, use the Table.TrasformColumnTypes function.
- B. In the Store table query, use the Table.TrasformRows function.
- C. In the Order table query, use the Table.TrasformRows function.
- D. In the Store table query, use the Table.TrasformColumnTypes function.
Answer: D
NEW QUESTION # 289
You have a Power Bl workspace named Inventory that contains a dataset a report and a dashboard.
You need to add an additional tile to the dashboard. The tile must show inventory by location. This information is NOT visualized in the report. The solution must minimize the impact on the report.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Pin the visual to the dashboard.
- B. Ask a question by using Q&A.
- C. Use quick insights on the dashboard.
- D. Add the visual to the report.
- E. Hide the report page.
Answer: A,B
NEW QUESTION # 290
......
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