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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare the data | 15-20% | - Get data from data sources
|
| Topic 2: Deploy and maintain assets | 15-20% | - Manage workspaces and datasets
|
| Topic 3: Model the data | 30-40% | - Design a data model
|
| Topic 4: Visualize and analyze data | 25-35% | - Create reports and dashboards
|
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NEW QUESTION # 246
Drag and Drop Question
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:
NEW QUESTION # 247
You plan to create a Power BI semantic model named Model1 that will contain data from an Azure SQL database. Model! will have the following tables.
You create DimDate and DimProduct by using Import storage mode.
You need to configure the storage mode for each remaining table. The solution must meet the following requirements:
; The data in FactSales must be available within five minutes of being available in the source data.
; The query response time for reports connected to the model must be minimized.
Which storage mode should you configure for each table? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Storage mode is a model design choice. An Import table cannot be switched back to DirectQuery in place; it must be reconnected or re-added using DirectQuery when the source and model support that mode. The key constraint is to configure the storage mode for each remaining table. The retained answer-area mapping contains the correct selections. The relevant current PL-300 study-guide bullet is " Choose between DirectLake, DirectQuery, and Import " . Storage mode cannot always be toggled in place; reconnecting the table in the required mode is different from changing a display or refresh setting. The chosen mode therefore satisfies both source behavior and report freshness without introducing a second unnecessary model.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-storage- mode | PL-300 objective: " Choose between DirectLake, DirectQuery, and Import " | Study guide:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300
NEW QUESTION # 248
You have a Power Bl query named Sates that imports the columns shown in the following table.
Users only use the dale part of the Sales.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.
NOTE: Each correct selection is worth one pant.
Answer: A,D
Explanation:
A: - Removing the Canceled ROWS will keep only Finished: "Only rows with a Status of Finished are used in analysis." D: "Users only use the DATE part of the Sales_Date". We can split date and time columns, it reduces the load times of the query which is a requirement here.
NEW QUESTION # 249
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
From Power Query Editor, you profile the data shown in the following exhibit.
The IoT GUID and IoT ID columns are unique to each row in query.
You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.
Solution: You split the loT DateTime column into a column named Date and a column named Time.
Does this meet the goal?
Answer: A
NEW QUESTION # 250
You have a dataset named Pens that contains the following columns:
Unit Price
Quantity Ordered
You need to create a visualization that shows the relationship between Unit Price and Quantity Ordered. The solution must highlight orders that have a similar unit price and ordered quantity.
Which type of visualization and which feature should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-scatter
NEW QUESTION # 251
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