PL-300 Latest Braindumps Sheet Pass Certify | Reliable PL-300 Valid Exam Notes: Microsoft Power BI Data Analyst

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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
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 - 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 - Deploy and distribute content 1. Share reports, dashboards, and apps 2. Embed content in applications or websites 3. Monitor usage and performance
Prepare the data	25-30%	- Profile and clean data 1. Manage data types, columns, and rows 2. Resolve inconsistencies, null values, and errors 3. Transform data using Power Query Editor 4. Evaluate data statistics and column properties - Load and configure data 1. Integrate data from multiple sources 2. Define table structures and properties 3. Configure data refresh settings - 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
Visualize and analyze data	25-30%	- Create reports and dashboards 1. Apply filters, slicers, and drill-through 2. Create dashboards and pinned elements 3. Choose appropriate visualizations 4. Design report layout, formatting, and interactivity - Enhance reports with analytics 1. Use AI visuals, forecasts, and key influencers 2. Create paginated reports 3. Apply conditional formatting and custom visuals - Perform data analysis 1. Implement custom visuals and R/Python scripts 2. Interpret results and identify trends 3. Create and manage bookmarks and tooltips
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 - Design data models 1. Implement role-playing dimensions 2. Define tables, columns, and hierarchies 3. Create relationships: cardinality, cross-filter direction, security 4. Create common date tables - Optimize model performance 1. Use aggregations and composite models 2. Reduce cardinality and data size 3. Optimize relationships and calculations

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Microsoft PL-300 Valid Exam Notes, Exam PL-300 Objectives

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Microsoft Power BI Data Analyst Sample Questions (Q55-Q60):

NEW QUESTION # 55
You need to create a solution to meet the notification requirements of the warehouse shipping department.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct select is worth one point:

Answer:

Explanation:

Explanation

NEW QUESTION # 56
You have a Power BI model that has the following tables:
Product (Product_id, Product_Name)
Sales (Order_id, Order_Date, Product_id, Salesperson_id, Sales_Amount)
Salesperson (Salesperson_id, Salesperson_name, address)
You plan to create the following measure.
Measure1 = DISTINCTCOUNT(Sales[ProductID])
You need to create the following relationships:
Sales to Product
Sales to Salesperson
The solution must ensure that you can use Measure1 to display the count of products sold by each salesperson.
How should you configure the relationships? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 57
Hotspot Question
You have the Power Bi dashboard shown in the Dashboard exhibit.

You need to ensure that when users view the dashboard on a mobile device, the dashboard appears as shown in the Mobile exhibit.

What should you do? To answer, select the appropriate options m the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 58
You have a Power Bl visual that uses indicators to show values that are out of range as shown in the following exhibit.

Answer:

Explanation:

NEW QUESTION # 59
You are building a Power Bl report that uses data from an Azure SQL database named erp1.
You Import the following tables.

You need to perform the following analyses:
* Orders sold over time that include a measure of the total order value
* Orders by attributes of products sold
The solution must minimize update times when interacting with visuals in the report. What should you do first?

A. Create a calculated column that adds a list of product categories to the Orders table by using a DAX function.
B. From Power Query, merge the Orders query and the Order Line Hems query.
C. From Power Query, merge the Order Line Items query and the Products query.
D. Calculate the count of orders per product by using a DAX function.

Answer: C

Explanation:
https://www.sqlbi.com/articles/header-detail-vs-star-schema-models-in-tabular-and-power-bi/

NEW QUESTION # 60
......

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