Microsoft PL-300在線考題 & PL-300認證指南

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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. Create and modify parameters 3. Identify and connect to data sources or shared semantic models 4. Configure data source settings, credentials, and privacy levels - Profile and clean data 1. Manage data types, columns, and rows 2. Resolve inconsistencies, null values, and errors 3. Evaluate data statistics and column properties 4. Transform data using Power Query Editor - Load and configure data 1. Integrate data from multiple sources 2. Configure data refresh settings 3. Define table structures and properties
Topic 2: Visualize and analyze data	25-30%	- 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. Interpret results and identify trends 2. Create and manage bookmarks and tooltips 3. Implement custom visuals and R/Python scripts - Create reports and dashboards 1. Apply filters, slicers, and drill-through 2. Choose appropriate visualizations 3. Create dashboards and pinned elements 4. Design report layout, formatting, and interactivity
Topic 3: 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. 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%	- 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. Create relationships: cardinality, cross-filter direction, security 2. Create common date tables 3. Implement role-playing dimensions 4. Define tables, columns, and hierarchies - Optimize model performance 1. Reduce cardinality and data size 2. Optimize relationships and calculations 3. Use aggregations and composite models

>> Microsoft PL-300在線考題 <<

PL-300認證指南 - PL-300最新試題

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最新的 Microsoft Certified: Power BI Data Analyst Associate PL-300 免費考試真題 (Q437-Q442):

問題 #437
You are creating a Microsoft Power Bl imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories.
You import a fact table named Sales as shown in the exhibit. (Click the Exhibit tab.)

The related dimension tables are imported into the model.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案：

解題說明：

Explanation

Reference:
https://finance-bi.com/power-bi-basket-analysis/

問題 #438
You plan to create the chart shown in the following exhibit.

How should you create the dashed horizontal line denoting the 40th percentile of daily sales for the period shown?

A. Add a measure to the visual that uses the following DAX expression.
Measure - PERCENTUEX.EXC (Sales,Sales[Total Sales],.40)
B. Create a horizontal line that has a fixed value of 24,000.
C. Add a measure to the visual that uses the following DAX expression.Measure = PERCENTILEX.INC (Sales,Sales[Total Sales],6.40)
D. Add a new percentile line that uses Total Sales as the measure and 40% as the percentile.

答案：D

解題說明：
The analytics feature enables you to show percentiles across groups specified along a specific axis.
Example:
1. Click on the analytics tab
2. Select Percentile
3. You can choose a specific percentile along with other formatting options.
4. Drag a date or non-numeric dimension into the Axis of a column chart

Add percentile lines to monitor daily revenue

問題 #439
Case Study 3 - Northwind Traders
Overview. General Overview
Northwind Traders is a specialty food import company.
The company recently implemented Power BI to better understand its top customers, products, and suppliers.
Overview. Business Issues
The sales department relies on the IT department to generate reports in Microsoft SQL Server Reporting Services (SSRS). The IT department takes too long to generate the reports and often misunderstands the report requirements.
Existing Environment. Data Sources
Northwind Traders uses the data sources shown in the following table.

Source2 is exported daily from a third-party system and stored in Microsoft SharePoint Online.
Existing Environment. Customer Worksheet
Source2 contains a single worksheet named Customer Details. The first 11 rows of the worksheet are shown in the following table.

All the fields in Source2 are mandatory.
The Address column in Customer Details is the billing address, which can differ from the shipping address.
Existing Environment. Azure SQL Database
Source1 contains the following table:
Orders
Products
Suppliers
Categories
Order Details
Sales Employees
The Orders table contains the following columns.

The Order Details table contains the following columns.

The address in the Orders table is the shipping address, which can differ from the billing address.
The Products table contains the following columns.

The Categories table contains the following columns.

The Suppliers table contains the following columns.

The Sales Employees table contains the following columns.

Each employee in the Sales Employees table is assigned to one sales region. Multiple employees can be assigned to each region.
Requirements. Report Requirements
Northwind Traders requires the following reports:
Top Products
Top Customers
On-Time Shipping
The Top Customers report will show the top 20 customers based on the highest sales amounts in a selected order month or quarter, product category, and sales region.
The Top Products report will show the top 20 products based on the highest sales amounts sold in a selected order month or quarter, sales region, and product category. The report must also show which suppliers provide the top products.
The On-Time Shipping report will show the following metrics for a selected shipping month or quarter:
The percentage of orders that were shipped late by country and shipping region Customers that had multiple late shipments during the last quarter Northwind Traders defines late orders as those shipped after the required shipping date.
The warehouse shipping department must be notified if the percentage of late orders within the current month exceeds 5%.
The reports must show historical data for the current calendar year and the last three calendar years.
Requirements. Technical Requirements
Northwind Traders identifies the following technical requirements:
A single dataset must support all three reports.
The reports must be stored in a single Power BI workspace.
Report data must be current as of 7 AM Pacific Time each day.
The reports must provide fast response times when users interact with a visualization.
The data model must minimize the size of the dataset as much as possible, while meeting the report requirements and the technical requirements.
Requirements. Security Requirements
Access to the reports must be granted to Azure Active Directory (Azure AD) security groups only.
An Azure AD security group exists for each department.
The sales department must be able to perform the following tasks in Power BI:
Create, edit, and delete content in the reports.
Manage permissions for workspaces, datasets, and report.
Publish, unpublish, update, and change the permissions for an app.
Assign Azure AD groups role-based access to the reports workspace.
Users in the sales department must be able to access only the data of the sales region to which they are assigned in the Sales Employees table.
Power BI has the following row-level security (RLS) Table filter DAX expression for the Sales Employees table.
[EmailAddress] = USERNAME()
RLS will be applied only to the sales department users. Users in all other departments must be able to view all the data.
Hotspot Question
You need to create the Top Customers report.
Which type of filter should you use, and at which level should you apply the filter? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

答案：

解題說明：

Explanation:
Box 1: Top N
Scenario: The Top Customers report will show the top 20 customers based on the highest sales amounts in a selected order month or quarter, product category, and sales region.
Once you drag to SKU to Visual level filter you should get Top N option Note: The two most common filter types: automatic and manual.
Then there are more advanced filters.
Box 2: Visual
Once you drag to SKU to Visual level filter you should get Top N option.
Reference:
https://powerbidocs.com/2020/01/21/power-bi-top-n-filters/

問題 #440
You publish the semantic model to powerbi.com.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案：

解題說明：

Explanation:

問題 #441
You have a Power Bi report for the procurement department. The report contains data from the following tables.

There is a one-to-many relationship from Suppliers to Lineitems that uses the ID and Supplier ID columns.
The report contains the visuals shown in the following table.

You need to minimize the size of the dataset without affecting the visuals. What should you do?

A. Group Lineltems by Lineitems[ invoice id) and Lineitems[invoice Date) with a sum of Lineitems(price).
B. Remove the rows from Lineitems where LineItems[invoice Date] is before the beginning of last month
C. Merge Suppliers and Uneltems.
D. Remove the Lineitems[Description] column.

答案：D

問題 #442
......

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