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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q28-Q33):

NEW QUESTION # 28
You have a query in Power Query Editor that contains two columns named Order_Date and Shipping_Date.
You need to create a column that will calculate the number of days between Order_Date and Shipping_Date for each row.
Which Power Query function should you use?

A. Duration.From
B. Date.AddDays
C. DateTime.LocalNow
D. Duration.Days

Answer: D

NEW QUESTION # 29
Which type of data store should you recommend in the AnalyticsPOC workspace?

A. a data lake
B. an external Hive metaStore
C. a lakehouse
D. a warehouse

Answer: C

Explanation:
A lakehouse (C) should be recommended for the AnalyticsPOC workspace. It combines the capabilities of a data warehouse with the flexibility of a data lake. A lakehouse supports semi-structured and unstructured data and allows for T-SQL and Python read access, fulfilling the technical requirements outlined for Litware. Reference = For further understanding, Microsoft's documentation on the lakehouse architecture provides insights into how it supports various data types and analytical operations.

NEW QUESTION # 30
You are analyzing customer purchases in a Fabric notebook by using PySpanc You have the following DataFrames:

You need to join the DataFrames on the customer_id column. The solution must minimize data shuffling. You write the following code.

Which code should you run to populate the results DataFrame?

Answer: A

Explanation:
The correct code to populate the results DataFrame with minimal data shuffling is Option A. Using the broadcast function in PySpark is a way to minimize data movement by broadcasting the smaller DataFrame ( customers) to each node in the cluster. This is ideal when one DataFrame is much smaller than the other, as in this case with customers. References = You can refer to the official Apache Spark documentation for more details on joins and the broadcast hint.

NEW QUESTION # 31
You have a Microsoft Fabric tenant that contains a dataflow.
You are exploring a new semantic model.
From Power Query, you need to view column information as shown in the following exhibit.

Which three Data view options should you select? Each correct answer presents part of the solution. NOTE:
Each correct answer is worth one point.

A. Enable details pane
B. Show column quality details
C. Enable column profile
D. Show column profile in details pane
E. Show column value distribution

Answer: A,B,C

Explanation:
To view column information like the one shown in the exhibit in Power Query, you need to select the options that enable profiling and display quality and distribution details. These are: A. Enable column profile - This option turns on profiling for each column, showing statistics such as distinct and unique values. B. Show column quality details - It displays the column quality bar on top of each column showing the percentage of valid, error, and empty values. E. Show column value distribution - It enables the histogram display of value distribution for each column, which visualizes how often each value occurs.
References: These features and their descriptions are typically found in the Power Query documentation, under the section for data profiling and quality features.

NEW QUESTION # 32
Hotspot Question
You have a Microsoft Power BI semantic model.
You plan to implement calculation groups.
You need to create a calculation item that will change the context from the selected date to month-to-date (MTD).
How should you complete the DAX expression? 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/dax/selectedmeasure-function-dax#example

NEW QUESTION # 33
......

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Excellent Reliable DP-600 Exam Tips | 100% Free Latest DP-600 Exam Pattern

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q28-Q33):

100% Pass Quiz Microsoft - Trustable DP-600 - Reliable Implementing Analytics Solutions Using Microsoft Fabric Exam Tips

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