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| Section | Weight | Objectives |
|---|
| Visualize and analyze data | 25-30% | - Create reports and dashboards
- 1. Design report layout, formatting, and interactivity
- 2. Apply filters, slicers, and drill-through
- 3. Choose appropriate visualizations
- 4. Create dashboards and pinned elements
- Perform data analysis
- 1. Implement custom visuals and R/Python scripts
- 2. Create and manage bookmarks and tooltips
- 3. Interpret results and identify trends
- Enhance reports with analytics
- 1. Use AI visuals, forecasts, and key influencers
- 2. Create paginated reports
- 3. Apply conditional formatting and custom visuals
|
| Manage and secure Power BI | 15-20% | - Manage workspaces and assets
- 1. Create and configure workspaces
- 2. Manage data refresh and scheduled updates
- 3. Publish, update, and organize reports/datasets
- Deploy and distribute content
- 1. Embed content in applications or websites
- 2. Monitor usage and performance
- 3. Share reports, dashboards, and apps
- Implement security and governance
- 1. Manage permissions and access
- 2. Configure row-level security (RLS) and object-level security
- 3. Apply data sensitivity labels and protection
|
| Model the data | 25-30% | - Create model calculations
- 1. Use CALCULATE and filter context
- 2. Implement aggregation and time intelligence
- 3. Use DAX: calculated columns, calculated tables, measures
- Optimize model performance
- 1. Reduce cardinality and data size
- 2. Use aggregations and composite models
- 3. Optimize relationships and calculations
- Design data models
- 1. Create relationships: cardinality, cross-filter direction, security
- 2. Create common date tables
- 3. Implement role-playing dimensions
- 4. Define tables, columns, and hierarchies
|
| Prepare the data | 25-30% | - Profile and clean data
- 1. Resolve inconsistencies, null values, and errors
- 2. Evaluate data statistics and column properties
- 3. Transform data using Power Query Editor
- 4. Manage data types, columns, and rows
- Get or connect to data
- 1. Choose storage modes: Import, DirectQuery, DirectLake
- 2. Create and modify parameters
- 3. Identify and connect to data sources or shared semantic models
- 4. Configure data source settings, credentials, and privacy levels
- Load and configure data
- 1. Define table structures and properties
- 2. Configure data refresh settings
- 3. Integrate data from multiple sources
|
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Microsoft Power BI Data Analyst Sample Questions (Q456-Q461):
NEW QUESTION # 456
You have a Power BI model that contains a table named Sales. Sales has the following three measures:
A measure named Total Sales Last Year that displays the sales from the previous calendar year. The current value is 32.89 million.
A measure named Total Sales This Year that displays the sales from the current calendar year. The current value is 11.69 million.
A measure named Total Sales Difference that uses a DAX formula of Sales[Last Year] - Sales[This Year].
You need to create the following visualization.

How should you configure the visualization? To answer, drag the appropriate measures to the correct fields.
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
Diagram, table Description automatically generated

References:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-radial-gauge-charts
NEW QUESTION # 457
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. the tab order
- C. alt text
- D. conditional formatting
Answer: C
Explanation:
The supported selection is B (alt text). Accessible visuals cannot rely on color alone. Distinct markers, meaningful alt text, logical tab order, and adequate contrast provide additional cues for keyboard and low- vision users. The technical decision turns on how to ensure that a summary of the data shown on the bar chart is accessible by using a screen reader. Color alone is not a sufficient cue; it provides no equivalent distinction for many low-vision or color-vision-deficient users. For exam alignment, this is assessed under " Design and configure Power BI reports for accessibility " in the current study guide. The result remains understandable to report consumers and responds correctly to the interaction or filtering behavior described in the question.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/create-reports/desktop-accessibility- creating-reports | PL-300 objective: " Design and configure Power BI reports for accessibility " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300
NEW QUESTION # 458
Remove unused columns from tables in the data model. This will reduce the size of your PBIX file and make your data model more efficient. You can use Power Query Editor to remove any columns that are not used in your report or calculations.
You need to shape the query to display the following three columns:

* Month
* Sales
* Year
'What should you select in Power Query Editor?
- A. Merge columns
- B. Unpivot columns.
- C. Transpose
- D. Pivot column
Answer: B
Explanation:
This will convert your column headers (Jan-20, Feb-20,...) into row values under a new column called Attribute. You can then rename this column as Month and change its data type to Date. You will also have a new column called Value that contains the sales amounts for each month. You can rename this column as Sales and change its data type to Decimal Number.
NEW QUESTION # 459
You need to create a relationship in the dataset for RLS.
What should you do? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:
See the answer as below in explanation.
Explanation:
Answer as below

NEW QUESTION # 460
You have a Microsoft Power Bl report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com.
The report uses an imported dataset that contains one fact table. The fact table contains 12 million rows. The dataset is scheduled to refresh twice a day at 08:00 and 17:00.
The report is a single page that contains 15 AppSource visuals and 10 default visuals.
Users say that the report is slow to load the visuals when they access and interact with the report.
You need to recommend a solution to improve the performance of the report.
What should you recommend?
- A. Increase the number of times that the dataset is refreshed
- B. Change any DAX measures to use iterator functions.
- C. Replace the default visuals with AppSource visuals.
- D. Remove unused columns from tables in the data model.
Answer: D
NEW QUESTION # 461
......
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