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Microsoft DP-600 Exam Syllabus Topics:

Topic	Details
Topic 1	Explore and analyze data: It also deals with performing exploratory analytics. Moreover, the topic delves into query data by using SQL.
Topic 2	Plan, implement, and manage a solution for data analytics: Planning a data analytics environment, implementing and managing a data analytics environment are discussed in this topic. It also focuses on managing the analytics development lifecycle.
Topic 3	Prepare and serve data: In this topic, questions about creating objects in a lakehouse or warehouse, copying data, transforming data, and optimizing performance appear.
Topic 4	Implement and manage semantic models: The topic delves into designing and building semantic models, and optimizing enterprise-scale semantic models.

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q35-Q40):

NEW QUESTION # 35
You have a Fabric tenant that contains a warehouse.
Several times a day. the performance of all warehouse queries degrades. You suspect that Fabric is throttling the compute used by the warehouse.
What should you use to identify whether throttling is occurring?

A. dynamic management views (DMVs)
B. the Capacity settings
C. the Monitoring hub
D. the Microsoft Fabric Capacity Metrics app

Answer: C

NEW QUESTION # 36
You have a Fabric workspace named Workspace 1 that contains a dataflow named Dataflow1. Dataflow! has a query that returns 2.000 rows. You view the query in Power Query as shown in the following exhibit.

What can you identify about the pickupLongitude column?

A. The column has duplicate values.
B. The column has missing values.
C. There are 935 values that occur only once.
D. All the table rows are profiled.

Answer: D

Explanation:
The pickupLongitude column has duplicate values. This can be inferred because the 'Distinct count' is 935 while the 'Count' is 1000, indicating that there are repeated values within the column. References = Microsoft Power BI documentation on data profiling could provide further insights into understanding and interpreting column statistics like these.

NEW QUESTION # 37
You have a Fabric tenant that contains a semantic model.
You need to prevent report creators from populating visuals by using implicit measures.
What are two tools that you can use to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.

A. DAX Studio
B. Microsoft SQL Server Management Studio (SSMS)
C. Tabular Editor
D. Microsoft Power BI Desktop

Answer: C,D

Explanation:
Microsoft Power BI Desktop (A) and Tabular Editor (B) are the tools you can use to prevent report creators from using implicit measures. In Power BI Desktop, you can define explicit measures which can be used in visuals. Tabular Editor allows for advanced model editing, where you can enforce the use of explicit measures. Reference = Guidance on using explicit measures and preventing implicit measures in reports can be found in the Power BI and Tabular Editor official documentation.

NEW QUESTION # 38
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 arxl has a summarized Amount that is higher than 10,000. Which query should you use?

Answer: D

Explanation:
The correct query to use in order to return data for the year 2023 that displays ProductID, ProductName, and has a summarized Amount greater than 10,000 is Option B. The reason is that it uses the GROUP BY clause to organize the data by ProductID and ProductName and then filters the result using the HAVING clause to only include groups where the sum of Amount is greater than 10,000. Additionally, the DATEPART(YEAR, SaleDate) = '2023' part of the HAVING clause ensures that only records from the year 2023 are included.
References = For more information, please visit the official documentation on T-SQL queries and the GROUP BY clause at T-SQL GROUP BY.

NEW QUESTION # 39
You have a Fabric tenant that contains a Microsoft Power Bl report.
You are exploring a new semantic model.
You need to display the following column statistics:
* Count
* Average
* Null count
* Distinct count
* Standard deviation
Which Power Query function should you run?

A. Table.Schema
B. Table.View
C. Table. FuzzyGroup
D. Table.Profile

Answer: D

Explanation:
The Table.Profile function in Power Query is used to generate column statistics such as count, average, null count, distinct count, and standard deviation. You can use this function as follows:
* Invoke the Power Query Editor.
* Apply the Table.Profile function to your table.
* The result will be a table where each row represents a column from the original table, and each column in the result represents a different statistic such as those listed in the requirement.
References: The use of Table.Profile is part of Power Query M function documentation where it explains how to gather column statistics for a given table.

NEW QUESTION # 40
......

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