Exam Microsoft PL-300 Simulations, PL-300 Valid Exam Question

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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model the Data25-30%- Design a data model
  • 1. Implement row-level security
  • 2. Resolve performance issues with relationships
  • 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
- Optimize model performance
  • 1. Optimize DirectQuery models
  • 2. Optimize Dax queries
  • 3. Validate performance and resolve issues
  • 4. Improve user experience by hiding objects
  • 5. Configure aggregations
- Create measures and DAX calculations
  • 1. Create calculated measures
  • 2. Use Time Intelligence functions
  • 3. Implement context transition
  • 4. Use CALCULATE and FILTER functions
  • 5. Create semi-additive measures
  • 6. Write and use basic DAX syntax
- Develop the data model
  • 1. Use the calculation group feature
  • 2. Build hierarchies and hierarchical fields
  • 3. Create common date tables
  • 4. Configure table relationships
  • 5. Implement row-level security roles
  • 6. Create calculated tables and columns
Topic 2: Visualize the Data25-30%- Build visuals
  • 1. Determine the appropriate visual type
  • 2. Configure visual interactions and cross-filtering
  • 3. Format and configure pages and report backgrounds
  • 4. Configure data colors and shapes
  • 5. Apply AI insights and enhanced analytics
  • 6. Apply sorting and filtering to visuals
- Enhance reports for user experience
  • 1. Add tooltips and navigation
  • 2. Design for mobile and specific layouts
  • 3. Add accessibility features and compliance
  • 4. Apply artistic formatting to visuals
- Enrich reports with advanced visuals
  • 1. Integrate Microsoft Copilot for Power BI
  • 2. Configure R and Python visuals
  • 3. Use dynamic page navigation
  • 4. Create custom visuals
Topic 3: Manage and Maintain Workspace Items10-15%- Manage datasets
  • 1. Configure dataset metadata and properties
  • 2. Resolve dataset permission issues
  • 3. Manage gateways and data sources
  • 4. Manage dataset refresh scheduling
- Create and manage workspaces
  • 1. Configure workspace membership and roles
  • 2. Configure content certification
  • 3. Publish and update a Power BI app
  • 4. Endorse sensitive content with sensitivity labels
Topic 4: Prepare the Data10-15%- Clean, transform, and load the data
  • 1. Determine proper data types
  • 2. Apply user-friendly naming conventions to columns and tables
  • 3. Design and build intermediate tables
  • 4. Identify the data structure
  • 5. Resolve data quality issues
  • 6. Configure data loading and queries
  • 7. Profile the data
- Get data from various data sources
  • 1. Choose between DirectQuery, Import, and Dual storage modes
  • 2. Use Microsoft Fabric and OneLake
  • 3. Configure dataset refresh
  • 4. Identify and connect to a data source
  • 5. Change data source settings
  • 6. Select a shared dataset or create a local copy
Topic 5: Analyze the Data10-15%- Perform analysis in Power BI
  • 1. Configure auto-insights
  • 2. Generate Pinn visual insights
  • 3. Apply Quick Insights
  • 4. Use the Q&A visual
  • 5. Identify patterns and trends
- Work with metrics in Power BI
  • 1. Use the Decomposition Tree visual
  • 2. Create metrics using Microsoft measurements
  • 3. Track goals with scorecards
  • 4. Define and monitor KPIs

>> Exam Microsoft PL-300 Simulations <<

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Microsoft Power BI Data Analyst Sample Questions (Q276-Q281):

NEW QUESTION # 276
You have an imported dataset that contains the following tables:
Date
Product
Customer
SalesFact
You need to reduce the size of the dataset before you publish it. The solution must minimize the number of tables in the dataset.
What should you do?

Answer: A

Explanation:
Avoid using calculated columns whenever possible, since they are not being optimally compressed. Instead, try to push all calculations to a data source (SQL database for example) or perform them using the Power Query editor.
Reference:
https://towardsdatascience.com/how-to-reduce-your-power-bi-model-size-by-90-76d7c4377f2d


NEW QUESTION # 277
You have the dataset shown in the following exhibit.

You need to ensure that the visual shows only the 10 cities that have the highest sales profit.
What should you do?

Answer: A

Explanation:
calculated column will return "Not in Top 10". In the visual, replace Sales Profit with the calculated column.
D18912E1457D5D1DDCBD40AB3BF70D5D
Explanation:
Power BI Top N Filters are useful to display the top performing records, and Bottom N filters are helpful to display the least performing records. For example, we can display top or bottom 10 products by orders or sales.
Note:
Select the Column you want to display the Top Sales Profit
Then change the Filter Type of that Column to Top N
Fill in Top / Bottom number field
And lastly drag to the By Value filed your Sales Profit
Reference:
https://www.tutorialgateway.org/power-bi-top-10-filters/


NEW QUESTION # 278
You have a Power B1 model that contains a table named Date. The table has the following columns.

Answer:

Explanation:
Answer is below.


NEW QUESTION # 279
You are creating a quick measure as shown in the following exhibit.

You need to create a monthly rolling average measure for Sales over time-How should you configure the quick measure calculation? 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
We select the field Total Sales
Box 2: Date
Select a date field.
Box 3: Month
Monthly periods.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-quick-measures


NEW QUESTION # 280
ion have a Power BI dataset that contains a table named Temperature Readings. Temperature Readings contains the columns shown in the following table.

The table has 12 million rows. All the columns are needed for analysis.
You need to optimize the dataset to decrease the model size. The solution must not affect the precision of the data.
What should you do?

Answer: D

Explanation:
Explanation
Disable Power Query load.
Power Query queries that are intended support data integration with other queries should not be loaded to the model. To avoid loading the query to the model, take care to ensure that you disable query load in these instances.
Reference:
https://docs.microsoft.com/en-us/power-bi/guidance/import-modeling-data-reduction#disable-power-query-query


NEW QUESTION # 281
......

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