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| Section | Weight | Objectives |
|---|---|---|
| Visualize and analyze data | 25-35% | - Create reports and dashboards
|
| Prepare the data | 15-20% | - Clean, transform, and load data
|
| Model the data | 30-40% | - Design a data model
|
| Deploy and maintain assets | 15-20% | - Secure and monitor Power BI
|
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NEW QUESTION # 457
What should you create to meet the reporting requirements of the sales department?
Answer: A
NEW QUESTION # 458
You publish a dataset that contains data from an on-premises Microsoft SQL Server database.
The dataset must be refreshed daily.
You need to ensure that the Power BI service can connect to the database and refresh the dataset.
Which four 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
Answer:
Explanation:
You have a Power BI data model that analyzes product sales ever time. The data model contains the following tables.
NEW QUESTION # 459
Which type of dimension is represented by Dim Address?
Answer: A
Explanation:
A sound report design pairs the user task with the visual ' s strengths, then configures fields and interactions so selections, drill actions, and filtering behave exactly as the scenario requires. Choose A (role-playing dimension). The deciding requirement in this question is to which type of dimension is represented by dim address. The other visual or configuration choices encode a different task, lose the required interaction, or fail one of the stated display constraints. This rationale is anchored to the PL-300 objective " Select an appropriate visual " . The result remains understandable to report consumers and responds correctly to the interaction or filtering behavior described in the question.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualizations- overview | PL-300 objective: " Select an appropriate visual " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300
NEW QUESTION # 460
Case Study 1 - Litware, Inc.
Overview
Litware, Inc. is an online retailer that uses Microsoft Power Bl dashboards and reports. The company plans to leverage data from Microsoft SQL Server databases, Microsoft Excel files, text files, and several other data sources.
Litware uses Azure Active Directory (Azure AD) to authenticate users.
Existing Environment
Sales Data
Litware has online sales data that has the SQL schema shown in the following table.
In the Date table, the dateid column has a format of yyyymmdd and the month column has a format of yyyymm. The week column in the Date table and the weekid column in the Weekly_Returns table have a format of yyyyww. The regionid column can be managed by only one sales manager.
Data Concerns
You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts.
Reporting Requirements
Litware identifies the following technical requirements:
- Executives require a visual that shows sales by region.
- Regional managers require a visual to analyze weekly sales and
returns.
- Sales managers must be able to see the sales data of their respective region only.
- The sales managers require a visual to analyze sales performance
versus sales targets.
- The sale department requires reports that contain the number of sales transactions.
- Users must be able to see the month in reports as shown in the
following example: Feb 2020.
- The customer service department requires a visual that can be
filtered by both sales month and ship month independently.
- The maximum allowed latency to include transactions in reports is
five minutes.
You need to create a calculated column to display the month based on the reporting requirements.
Which DAX expression should you use?
Answer: D
Explanation:
"Format" is functional only on columns of type Date, 'date-id' is integer however 'date' is Date.
NEW QUESTION # 461
You use Power Query Editor to preview the data shown in the following exhibit.
Answer:
Explanation:
Explanation:
The M transformation belongs in the query pipeline, where source values can be cleaned, split, filled, renamed, or typed consistently. A report visual or DAX measure would operate too late in the process. Use the selections preserved in the answer exhibit as the supported configuration. The relevant context is that you use power query editor to preview the data shown in the following exhibit. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. This rationale is anchored to the PL-300 objective " Create and transform columns " . This keeps the query output reproducible at refresh and leaves the semantic model with the grain and schema required by the report.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300
NEW QUESTION # 462
......
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