Analyzing and Visualizing Data with Microsoft Power BI

Here you have the best Microsoft 70-778 practice exam questions

  • You have 145 total questions to study from
  • Each page has 5 questions, making a total of 29 pages
  • You can navigate through the pages using the buttons at the bottom
  • This questions were last updated on December 16, 2024
Question 1 of 145

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.

You have a Power BI model that contains two tables named Sales and Date. Sales contains four columns named TotalCost, DueDate, ShipDate, and OrderDate.

Date contains one column named Date.

The tables have the following relationships:

✑ Sales[DueDate] and Date[Date]

✑ Sales[ShipDate] and Date[Date]

✑ Sales[OrderDate] and Date[Date]

The active relationship is on Sales[DueDate].

You need to create measures to count the number of orders by [ShipDate] and the orders by [OrderDate]. You must meet the goal without duplicating data or loading additional data.

Solution: You create a calculated table. You create a measure that uses the new table.

Does this meet the goal?

    Correct Answer: B

    Creating a calculated table is not necessary as it involves additional data processing. The fact tables Sales and Date are already linked by Sales[ShipDate] and Sales[OrderDate] through inactive relationships. You should create measures using the DAX (Data Analysis Expressions) USERELATIONSHIP function which allows switching to the desired relationship without duplicating or loading additional data. This method maintains the original data structure and leverages the existing relationships effectively to count orders by ShipDate and OrderDate.

Question 2 of 145

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.

You have a Power BI model that contains two tables named Sales and Date. Sales contains four columns named TotalCost, DueDate, ShipDate, and OrderDate.

Date contains one column named Date.

The tables have the following relationships:

✑ Sales[DueDate] and Date[Date]

✑ Sales[ShipDate] and Date[Date]

✑ Sales[OrderDate] and Date[Date]

The active relationship is on Sales[DueDate].

You need to create measures to count the number of orders by [ShipDate] and the orders by [OrderDate]. You must meet the goal without duplicating data or loading additional data.

Solution: You create measures that use the CALCULATE, COUNT, and FILTER DAX functions.

Does this meet the goal?

    Correct Answer: B

    The CALCULATE, COUNT, and FILTER DAX functions can create the required measures, but such a solution would only work correctly if it appropriately addresses the inactive relationships between the Date table and the Sales table columns for ShipDate and OrderDate. However, without explicitly activating these relationships using USERELATIONSHIP, the measures may not accurately reflect the counting of orders based on the non-active relationships. Therefore, the proposed solution does not meet the goal, as it fails to correctly manage the inactive relationships.

Question 3 of 145

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.

You have a Power BI model that contains two tables named Sales and Date. Sales contains four columns named TotalCost, DueDate, ShipDate, and OrderDate.

Date contains one column named Date.

The tables have the following relationships:

✑ Sales[DueDate] and Date[Date]

✑ Sales[ShipDate] and Date[Date]

✑ Sales[OrderDate] and Date[Date]

The active relationship is on Sales[DueDate].

You need to create measures to count the number of orders by [ShipDate] and the orders by [OrderDate]. You must meet the goal without duplicating data or loading additional data.

Solution: You create two copies of the Date table named ShipDate and OrderDateGet. You create a measure that uses the new tables.

Does this meet the goal?

    Correct Answer: B

    The solution suggests creating two copies of the Date table, which would indeed duplicate data and potentially increase the size of the model, leading to data inconsistencies and inefficiencies. The goal is to create measures to count the number of orders by ShipDate and OrderDate without duplicating data or loading additional data. A more effective approach would be to use DAX measures with USERELATIONSHIP to leverage the existing relationships in the model and avoid data duplication.

Question 4 of 145

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.

You have a user named User1. User1 is a member of a security group named Contoso PowerBI.

User1 has access to a workspace named Contoso Workspace.

You need to prevent User1 from exporting data from the visualizations in Contoso Workspace.

Solution: From the Microsoft Office 365 Admin center, you remove User1 from the All Users security group.

Does this meet the goal?

    Correct Answer: B

    Removing User1 from the All Users security group in the Microsoft Office 365 Admin center does not specifically prevent User1 from exporting data from visualizations in Contoso Workspace. User1 could still have access through the Contoso PowerBI security group. The correct way to prevent User1 from exporting data is to modify the relevant permissions or settings within the Power BI Admin Portal, specifically handling export data settings through the Tenant Settings.

Question 5 of 145

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.

You have a user named User1. User1 is a member of a security group named Contoso PowerBI.

User1 has access to a workspace named Contoso Workspace.

You need to prevent User1 from exporting data from the visualizations in Contoso Workspace.

Solution: From the Microsoft Office 365 Admin center, you modify the properties of Contoso PowerBI.

Does this meet the goal?

    Correct Answer: B

    To prevent User1 from exporting data from visualizations in Contoso Workspace, modifying the properties of the Contoso PowerBI group from the Microsoft Office 365 Admin center is not the correct solution. While the Microsoft Office 365 Admin center allows for the management of group membership and properties such as names and descriptions, it does not directly control permissions related to exporting data from Power BI visualizations. To achieve the desired goal, one would need to use the Power BI Admin portal to adjust the settings within the Power BI service itself, such as configuring tenant settings or workspace roles to restrict data export capabilities.