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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q124-Q129):

NEW QUESTION # 124
You have a Fabric tenant that contains a semantic model named Model1. Model1 uses Import mode. Model1 contains a table named Orders. Orders has 100 million rows and the following fields.

You need to reduce the memory used by Model! and the time it takes to refresh the model. Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct answer is worth one point.

A. Split OrderDateTime into separate date and time columns.
B. Replace TotalSalesAmount with a measure.
C. Convert Quantity into the Text data type.
D. Replace TotalQuantity with a calculated column.

Answer: B,D

Explanation:
To reduce memory usage and refresh time, splitting the OrderDateTime into separate date and time columns (A) can help optimize the model because date/time data types can be more memory-intensive than separate date and time columns. Moreover, replacing TotalSalesAmount with a measure (D) instead of a calculated column ensures that the calculation is performed at query time, which can reduce the size of the model as the value is not stored but calculated on the fly. References = The best practices for optimizing Power BI models are detailed in the Power BI documentation, which recommends using measures for calculations that don't need to be stored and adjusting data types to improve performance.

NEW QUESTION # 125
Hotspot Question
You have a Fabric tenant.
You need to configure OneLake security for users shown in the following table.

The solution must follow the principle of least privilege.
Which permission should you assign to each user? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
https://learn.microsoft.com/en-us/fabric/data-engineering/lakehouse-sharing#sharing-and- permissions

NEW QUESTION # 126
You are developing a Microsoft Power BI semantic model. Two tables in the data model are not connected in a physical relationship. You need to establish a virtual relationship between the tables. Which DAX function should you use?

A. PATH()
B. CROSSFILTER()
C. TREATAS()
D. USERELATIONSHIP()

Answer: C

NEW QUESTION # 127
You have a Fabric tenant that contains a new semantic model in OneLake.
You use a Fabric notebook to read the data into a Spark DataFrame.
You need to evaluate the data to calculate the min, max, mean, and standard deviation values for all the string and numeric columns.
Solution: You use the following PySpark expression:
df .sumary ()
Does this meet the goal?

A. No
B. Yes

Answer: B

Explanation:
Yes, the df.summary() method does meet the goal. This method is used to compute specified statistics for numeric and string columns. By default, it provides statistics such as count, mean, stddev, min, and max. Reference = The PySpark API documentation details the summary() function and the statistics it provides.

NEW QUESTION # 128
You have a Fabric warehouse that contains a table named Staging.Sales. Staging.Sales contains the following columns.

You need to write a T-SQL query that will return data for the year 2023 that displays ProductID and ProductName and has a summarized Amount that is higher than 10,000.
Which query should you use?

Answer: B

NEW QUESTION # 129
......

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Valid DP-600 Exam Labs - Download Training Material for Microsoft DP-600 Exam–Pass DP-600 Fast

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q124-Q129):

Microsoft DP-600 Dumps Get Success Microsoft DP-600 Minimal Effort

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