Updated PL-300 Practice Exam Questions

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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q115-Q120):

NEW QUESTION # 115
You have a Power Bl report that contains a page. The page contains the following:
* A shape named Shape 1
* A card named Sales Summary
* A clustered bar chart named Sales by Region
You need to ensure that Sales Summary renders on top of Shape 1. What should you modify?

A. Layer order in the Selection pane
B. Vertical alignment in the Canvas settings
C. Maintain layer order in the General visual settings
D. Tab order in the Selection pane

Answer: A

Explanation:
You use Power Query Editor to preview the data shown in the following exhibit.
You confirm that the data will always start on row 3, and row 3 will always contain the column names.
You use Power Query Editor to preview the data shown in the following exhibit.

NEW QUESTION # 116
The data model must support the following analysis:
* Total sales by product by month in which the order was placed
* Quantities sold by product by day on which the order was placed
* Number Of sales transactions by quarter in Which the order was placed For each Of the following statements, select Yes if the statement is true. Otherwise, select NO.

Answer:

Explanation:

Explanation:

NEW QUESTION # 117
You have a semantic model named Model1 that contains sales data.
You need to ensure that Modell is refreshed on the first day of each month to include last month's sales data.
What should you configure?

A. an incremental refresh
B. a scheduled refresh
C. an on-premises data gateway
D. a Microsoft Rower Automate flow

Answer: B

NEW QUESTION # 118
You have a Power Bl query named Sates that imports the columns shown in the following table.

Usees only use the dale part of the Sa les.Date field. Only rows with a Status of Finished are used in analysis.
You need to reduce the load times of the query without affecting the analysis.
Which two actions achieve this goal? Each correct answer presents a complete solution.
NOTL Each correct selection is worth one pant.

A. Change the data type of sale [Delivery_Time] to Integer
B. Removes (Canceled Date).
C. Remove sales [Sales_Date].
D. Split Sales [Sale_Date] into separate date and time columns.
E. Remove the rows in which sales [status] has a value of Canceled.

Answer: D,E

NEW QUESTION # 119
Hotspot Question
You have an API that returns more than 100 columns. The following is a sample of column names.
client_notified_timestamp

client_notified_source

client_notified_sourceid

client_notified_value

client_responded_timestamp

client_responded_source

client_responded_sourceid

client_responded_value

You plan to include only a subset of the returned columns.
You need to remove any columns that have a suffix of sourceid.
How should you complete the Power Query M code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Table.RemoveColumns
When you do "Remove Columns" Power Query uses the Table.RemoveColumns function Box 2: List.Select Get a list of columns.
Box 3: Text.EndsWith

NEW QUESTION # 120
......

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