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| Section | Weight | Objectives |
|---|
| Topic 1: Analyze the Data | 10-15% | - Perform analysis in Power BI
- 1. Configure auto-insights
- 2. Identify patterns and trends
- 3. Apply Quick Insights
- 4. Generate Pinn visual insights
- 5. Use the Q&A visual
- Work with metrics in Power BI
- 1. Use the Decomposition Tree visual
- 2. Track goals with scorecards
- 3. Create metrics using Microsoft measurements
- 4. Define and monitor KPIs
|
| Topic 2: Model the Data | 25-30% | - Optimize model performance
- 1. Configure aggregations
- 2. Validate performance and resolve issues
- 3. Improve user experience by hiding objects
- 4. Optimize DirectQuery models
- 5. Optimize Dax queries
- Develop the data model
- 1. Implement row-level security roles
- 2. Build hierarchies and hierarchical fields
- 3. Create calculated tables and columns
- 4. Create common date tables
- 5. Use the calculation group feature
- 6. Configure table relationships
- Create measures and DAX calculations
- 1. Use CALCULATE and FILTER functions
- 2. Use Time Intelligence functions
- 3. Write and use basic DAX syntax
- 4. Create semi-additive measures
- 5. Implement context transition
- 6. Create calculated measures
- Design a data model
- 1. Apply field metadata and groupings
- 2. Implement row-level security
- 3. Design a star schema or snowflake schema
- 4. Define tables and table schemas
- 5. Resolve performance issues with relationships
- 6. Determine the appropriate granularity
|
| Topic 3: Manage and Maintain Workspace Items | 10-15% | - Create and manage workspaces
- 1. Configure content certification
- 2. Endorse sensitive content with sensitivity labels
- 3. Configure workspace membership and roles
- 4. Publish and update a Power BI app
- Manage datasets
- 1. Manage gateways and data sources
- 2. Manage dataset refresh scheduling
- 3. Resolve dataset permission issues
- 4. Configure dataset metadata and properties
|
| Topic 4: Visualize the Data | 25-30% | - Enhance reports for user experience
- 1. Add tooltips and navigation
- 2. Apply artistic formatting to visuals
- 3. Design for mobile and specific layouts
- 4. Add accessibility features and compliance
- Build visuals
- 1. Apply sorting and filtering to visuals
- 2. Format and configure pages and report backgrounds
- 3. Determine the appropriate visual type
- 4. Apply AI insights and enhanced analytics
- 5. Configure data colors and shapes
- 6. Configure visual interactions and cross-filtering
- Enrich reports with advanced visuals
- 1. Create custom visuals
- 2. Use dynamic page navigation
- 3. Configure R and Python visuals
- 4. Integrate Microsoft Copilot for Power BI
|
| Topic 5: Prepare the Data | 10-15% | - Clean, transform, and load the data
- 1. Determine proper data types
- 2. Design and build intermediate tables
- 3. Configure data loading and queries
- 4. Identify the data structure
- 5. Profile the data
- 6. Apply user-friendly naming conventions to columns and tables
- 7. Resolve data quality issues
- Get data from various data sources
- 1. Select a shared dataset or create a local copy
- 2. Change data source settings
- 3. Choose between DirectQuery, Import, and Dual storage modes
- 4. Use Microsoft Fabric and OneLake
- 5. Identify and connect to a data source
- 6. Configure dataset refresh
|
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Microsoft Power BI Data Analyst Sample Questions (Q463-Q468):
NEW QUESTION # 463
You are designing the data model for a Power Bl semantic model. You have the foll owing tables in the star schema.

Which table is the fact table of the star schema, and which column in the Patient table is the surrogate key of the star schema? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

NEW QUESTION # 464
You are enhancing a Power BI model that has DAX calculations.
You need to create a measure that returns the year-to-date total sales from the same date of the previous calendar year.
Which DAX functions should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Reference:
https://www.kasperonbi.com/get-the-ytd-of-the-same-period-last-year/
NEW QUESTION # 465
You have a dataset that contains revenue data from the past year.
You need to use anomaly detection in Power Bl to show anomalies in the dataset.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

NEW QUESTION # 466
You need to create a visual that compares profit across 10 product categories for a selected quarter.
What is the best visual to use to achieve the goal?
- A. a line chart
- B. a funnel chart
- C. an area chart
- D. a clustered bar chart
Answer: D
Explanation:
A clustered bar chart is the best visual to use to compare profit across 10 product categories for a selected quarter. It allows you to easily compare the profit of each category side-by-side, making it easy to identify the highest and lowest performers. In addition, a clustered bar chart is effective at displaying discrete data, such as categories, which makes it the ideal choice for this scenario.
NEW QUESTION # 467
You need to design the data model and the relationships for the Customer Details worksheet and the Orders table by using Power BI. The solution must meet the report requirements.
For each of the following statement, select Yes if the statement is true, Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

NEW QUESTION # 468
......
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