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| Section | Weight | Objectives |
|---|
| Model the Data | 25-30% | - Develop the data model
- 1. Create common date tables
- 2. Create calculated tables and columns
- 3. Use the calculation group feature
- 4. Implement row-level security roles
- 5. Build hierarchies and hierarchical fields
- 6. Configure table relationships
- Optimize model performance
- 1. Validate performance and resolve issues
- 2. Optimize Dax queries
- 3. Optimize DirectQuery models
- 4. Improve user experience by hiding objects
- 5. Configure aggregations
- Create measures and DAX calculations
- 1. Use CALCULATE and FILTER functions
- 2. Use Time Intelligence functions
- 3. Implement context transition
- 4. Create semi-additive measures
- 5. Create calculated measures
- 6. Write and use basic DAX syntax
- Design a data model
- 1. Apply field metadata and groupings
- 2. Define tables and table schemas
- 3. Determine the appropriate granularity
- 4. Resolve performance issues with relationships
- 5. Implement row-level security
- 6. Design a star schema or snowflake schema
|
| Visualize the Data | 25-30% | - Enrich reports with advanced visuals
- 1. Create custom visuals
- 2. Integrate Microsoft Copilot for Power BI
- 3. Use dynamic page navigation
- 4. Configure R and Python visuals
- Build visuals
- 1. Configure visual interactions and cross-filtering
- 2. Determine the appropriate visual type
- 3. Configure data colors and shapes
- 4. Apply AI insights and enhanced analytics
- 5. Apply sorting and filtering to visuals
- 6. Format and configure pages and report backgrounds
- Enhance reports for user experience
- 1. Apply artistic formatting to visuals
- 2. Add tooltips and navigation
- 3. Add accessibility features and compliance
- 4. Design for mobile and specific layouts
|
| Prepare the Data | 10-15% | - Clean, transform, and load the data
- 1. Identify the data structure
- 2. Determine proper data types
- 3. Configure data loading and queries
- 4. Profile the data
- 5. Apply user-friendly naming conventions to columns and tables
- 6. Resolve data quality issues
- 7. Design and build intermediate tables
- Get data from various data sources
- 1. Configure dataset refresh
- 2. Identify and connect to a data source
- 3. Use Microsoft Fabric and OneLake
- 4. Change data source settings
- 5. Choose between DirectQuery, Import, and Dual storage modes
- 6. Select a shared dataset or create a local copy
|
| Analyze the Data | 10-15% | - Work with metrics in Power BI
- 1. Use the Decomposition Tree visual
- 2. Define and monitor KPIs
- 3. Create metrics using Microsoft measurements
- 4. Track goals with scorecards
- Perform analysis in Power BI
- 1. Apply Quick Insights
- 2. Generate Pinn visual insights
- 3. Configure auto-insights
- 4. Use the Q&A visual
- 5. Identify patterns and trends
|
| Manage and Maintain Workspace Items | 10-15% | - Manage datasets
- 1. Manage dataset refresh scheduling
- 2. Configure dataset metadata and properties
- 3. Manage gateways and data sources
- 4. Resolve dataset permission issues
- Create and manage workspaces
- 1. Configure workspace membership and roles
- 2. Publish and update a Power BI app
- 3. Endorse sensitive content with sensitivity labels
- 4. Configure content certification
|
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Microsoft Power BI Data Analyst Sample Questions (Q462-Q467):
NEW QUESTION # 462
You publish the semantic model to powerbi.com.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

NEW QUESTION # 463
In Power BI Desktop, you are building a sales report that contains two tables. Both tables have row-level security (RLS) configured.
You need to create a relationship between the tables. The solution must ensure that bidirectional cross- filtering honors the RLS settings.
What should you do?
- A. Create an inactive relationship between the tables and select Assume referential integrity.
- B. Create an active relationship between the tables and select Assume referential integrity.
- C. Create an active relationship between the tables and select Apply security filter in both directions.
- D. Create an inactive relationship between the tables and select Apply security filter in both directions.
Answer: C
Explanation:
By default, row-level security filtering uses single-directional filters, whether the relationships are set to single direction or bi-directional. You can manually enable bi-directional cross-filtering with row-level security by selecting the relationship and checking the Apply security filter in both directions checkbox.
Select this option when you've also implemented dynamic row-level security at the server level, where row- level security is based on username or login ID.

Reference:
https://docs.microsoft.com/en-us/power-bi/admin/service-admin-rls
NEW QUESTION # 464
You use Power 81 Desktop to load data from a Microsoft SQL Server database.
While waiting for the data to load, you receive the following error.

You need to resolve the error.
What are two ways to achieve the goal? Each correct answer presents a complete solution NOTE: Each correct selection is worth one point.
- A. Split long running queries into subsets Of columns and use power Query to the queries
- B. Reduce number of rows and columns returned by each query.
- C. Disable query folding on long running queries
- D. Use Power Query to combine long running queries into one query.
Answer: C,D
NEW QUESTION # 465
You need to create a date table in Power B1 that must contain 10 full calendar years, including the current year How should you complete the DAX expression? To answer, drag the appropriate values to the correct locations. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

NEW QUESTION # 466
You are using the key influencers visual to identify which factors affect the quantity of items sold in an order.
You add the following fields to the Explain By field:
* Customer Country
* Product Category
* Supplier Country
* Sales Employee
* Supplier Name
* Product Name
* Customer City
The key influencers visual returns the results shown in the following exhibit.

What can you identify from the visual?
- A. Product Category positively influences the quantity per order.
- B. Customers in Cork order lower quantities than average.
- C. Customers in Austria order 18.8 more units than the average order quantity.
- D. Customers in Boise order 20.37 percent more than the average order quantity.
Answer: C
NEW QUESTION # 467
......
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