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| Section | Weight | Objectives |
|---|
| Model the Data | 25-30% | - Create measures and DAX calculations
- 1. Create calculated measures
- 2. Implement context transition
- 3. Use CALCULATE and FILTER functions
- 4. Use Time Intelligence functions
- 5. Write and use basic DAX syntax
- 6. Create semi-additive measures
- Develop the data model
- 1. Configure table relationships
- 2. Create common date tables
- 3. Implement row-level security roles
- 4. Build hierarchies and hierarchical fields
- 5. Use the calculation group feature
- 6. Create calculated tables and columns
- Optimize model performance
- 1. Optimize DirectQuery models
- 2. Configure aggregations
- 3. Validate performance and resolve issues
- 4. Improve user experience by hiding objects
- 5. Optimize Dax queries
- Design a data model
- 1. Determine the appropriate granularity
- 2. Implement row-level security
- 3. Define tables and table schemas
- 4. Resolve performance issues with relationships
- 5. Apply field metadata and groupings
- 6. Design a star schema or snowflake schema
|
| Visualize the Data | 25-30% | - Enhance reports for user experience
- 1. Design for mobile and specific layouts
- 2. Apply artistic formatting to visuals
- 3. Add tooltips and navigation
- 4. Add accessibility features and compliance
- Build visuals
- 1. Determine the appropriate visual type
- 2. Apply AI insights and enhanced analytics
- 3. Format and configure pages and report backgrounds
- 4. Configure visual interactions and cross-filtering
- 5. Configure data colors and shapes
- 6. Apply sorting and filtering to visuals
- Enrich reports with advanced visuals
- 1. Configure R and Python visuals
- 2. Integrate Microsoft Copilot for Power BI
- 3. Create custom visuals
- 4. Use dynamic page navigation
|
| Prepare the Data | 10-15% | - Get data from various data sources
- 1. Select a shared dataset or create a local copy
- 2. Choose between DirectQuery, Import, and Dual storage modes
- 3. Configure dataset refresh
- 4. Change data source settings
- 5. Identify and connect to a data source
- 6. Use Microsoft Fabric and OneLake
- Clean, transform, and load the data
- 1. Design and build intermediate tables
- 2. Configure data loading and queries
- 3. Resolve data quality issues
- 4. Determine proper data types
- 5. Profile the data
- 6. Identify the data structure
- 7. Apply user-friendly naming conventions to columns and tables
|
| Manage and Maintain Workspace Items | 10-15% | - Create and manage workspaces
- 1. Publish and update a Power BI app
- 2. Configure workspace membership and roles
- 3. Configure content certification
- 4. Endorse sensitive content with sensitivity labels
- Manage datasets
- 1. Resolve dataset permission issues
- 2. Manage gateways and data sources
- 3. Manage dataset refresh scheduling
- 4. Configure dataset metadata and properties
|
| Analyze the Data | 10-15% | - Perform analysis in Power BI
- 1. Identify patterns and trends
- 2. Configure auto-insights
- 3. Use the Q&A visual
- 4. Apply Quick Insights
- 5. Generate Pinn visual insights
- Work with metrics in Power BI
- 1. Define and monitor KPIs
- 2. Create metrics using Microsoft measurements
- 3. Use the Decomposition Tree visual
- 4. Track goals with scorecards
|
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Microsoft Power BI Data Analyst Sample Questions (Q56-Q61):
NEW QUESTION # 56
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a clustered bar chart that contains a measure named Salary as the value and a field named Employee as the axis. Salary is present in the data as numerical amount representing US dollars.
You need to create a reference line to show which employees are above the median salary.
Solution: You create an average line by using the Salary measure.
Does this meet the goal?
Answer: B
Explanation:
Instead create a percentile line by using the Salary measure and set the percentile to 50%.
Note: The 50th percentile is also known as the median or middle value where 50 percent of observations fall below.
Reference:
https://dash-intel.com/powerbi/statistical_functions_percentile.php
NEW QUESTION # 57
You have a Power BI report that contains a bar chart. The bar chart displays sales by country.
You need to ensure that a summary of the data shown on the bar chart is accessible by using a screen reader.
What should you configure on the bar chart?
- A. the layer order
- B. alt text
- C. conditional formatting
- D. the tab order
Answer: B
Explanation:
Alt text (alternative text) is used to provide a textual description of the visual content for users relying on screen readers. In this case, configuring alt text ensures that a summary of the bar chart (e.g., "Sales by country") can be read out by a screen reader, making the data accessible.
NEW QUESTION # 58
You need to create the Top Customers report.
Which type of filter should you use, and at which level should you apply the filter? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Reference:
https://powerbidocs.com/2020/01/21/power-bi-top-n-filters/
NEW QUESTION # 59
You view a query named Transactions as shown in the following exhibit.

The query gets CSV files from a folder.
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

Box 1: 9
9 distinct CSV files.
Box 2: 10
10 distinct dates.
https://pediaa.com/what-is-the-difference-between-unique-and-distinct-in-sql/#:~:text=Unique%20and%20Distin
NEW QUESTION # 60
You build a report to analyze customer transactions from a database that contains the tables shown in the following table.

You import the tables.
Which relationship should you use to link the tables?
- A. one-to-one between Customer and Transaction
- B. one-to-many from Transaction to Customer
- C. one-to-many from Customer to Transaction
- D. many-to-many between Customer and Transaction
Answer: C
Explanation:
Each customer can have many transactions.
For each transaction there is exactly one customer.
NEW QUESTION # 61
......
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