PL-300 Guide Torrent: Microsoft Power BI Data Analyst - PL-300 Exam Prep - Pass-for-sure PL-300

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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Manage and secure Power BI	15-20%	- 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. Apply data sensitivity labels and protection 3. Configure row-level security (RLS) and object-level security - Manage workspaces and assets 1. Create and configure workspaces 2. Manage data refresh and scheduled updates 3. Publish, update, and organize reports/datasets
Topic 2: Visualize and analyze data	25-30%	- Create reports and dashboards 1. Choose appropriate visualizations 2. Create dashboards and pinned elements 3. Design report layout, formatting, and interactivity 4. Apply filters, slicers, and drill-through - 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. Apply conditional formatting and custom visuals 2. Use AI visuals, forecasts, and key influencers 3. Create paginated reports
Topic 3: Model the data	25-30%	- Create model calculations 1. Use CALCULATE and filter context 2. Use DAX: calculated columns, calculated tables, measures 3. Implement aggregation and time intelligence - Optimize model performance 1. Optimize relationships and calculations 2. Use aggregations and composite models 3. Reduce cardinality and data size - Design data models 1. Implement role-playing dimensions 2. Create relationships: cardinality, cross-filter direction, security 3. Create common date tables 4. Define tables, columns, and hierarchies
Topic 4: Prepare the data	25-30%	- Get or connect to data 1. Configure data source settings, credentials, and privacy levels 2. Create and modify parameters 3. Choose storage modes: Import, DirectQuery, DirectLake 4. Identify and connect to data sources or shared semantic models - Profile and clean data 1. Transform data using Power Query Editor 2. Evaluate data statistics and column properties 3. Resolve inconsistencies, null values, and errors 4. Manage data types, columns, and rows - Load and configure data 1. Configure data refresh settings 2. Integrate data from multiple sources 3. Define table structures and properties

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Microsoft Power BI Data Analyst Sample Questions (Q274-Q279):

NEW QUESTION # 274
You have the visual shown in the Original exhibit. {Click the Original tab.)

You need to configure the visual as shown in the Modified exhibit. (Click the Modified tab.)

What should you add to the visual?

A. an Average line
B. a forecast
C. a measure
D. a trendline

Answer: B

Explanation:
Explore forecast results by adjusting the desired confidence interval or by adjusting outlier data to see how they affect results.

Reference:
https://powerbi.microsoft.com/fr-fr/blog/introducing-new-forecasting-capabilities-in-power-view-for-office-
365/

NEW QUESTION # 275
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:

NEW QUESTION # 276
You have the line chart shown in the exhibit. (Click the Exhibit tab.)

You need to modify the chart to meet the following requirements:
Identify months that have order counts above the mean.
Display the mean monthly order count.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

1 - Select the line chart
2 - From the Analytics pane, Add the average line
3 - Turn on Data Labels for the new line.

NEW QUESTION # 277
You have a query named All Sales that imports sales data into a Power BI model.
You plan to create a star schema by separating columns into separate queries and performing further transformations. The solution must meet the following requirements:
* Use All Sales as the source for three other queries named Sales Fact Product Dimension, and Customer Dimension.
* Minimize maintenance effort.
What should you do to create the Sales Fact query, and for which query should you clear Enable load? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 278
You are designing the data model for a Power Bl semantic model. You have the following 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 # 279
......

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