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DP-600 Exam Study Solutions - Braindump DP-600 Pdf
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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q117-Q122):
NEW QUESTION # 117
You have a Fabric tenant that contains a semantic model.
You need to modify object-level security (OLS) for the model.
What should you use?
- A. ALM Toolkit
- B. the Fabric service
- C. Microsoft Power BI Desktop
- D. Tabular Editor
Answer: D
NEW QUESTION # 118
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.explain()
Does this meet the goal?
- A. Yes
- B. No
Answer: B
Explanation:
The df.explain() method does not meet the goal of evaluating data to calculate statistical functions. It is used to display the physical plan that Spark will execute. Reference = The correct usage of the explain() function can be found in the PySpark documentation.
NEW QUESTION # 119
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?
- A.
- B.
- C.
- D.
Answer: B
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. Reference = You can refer to the official Apache Spark documentation for more details on joins and the broadcast hint.
NEW QUESTION # 120
You have a Fabric tenant.
You are creating a Fabric Data Factory pipeline.
You have a stored procedure that returns the number of active customers and their average sales for the current month.
You need to add an activity that will execute the stored procedure in a warehouse. The returned values must be available to the downstream activities of the pipeline.
Which type of activity should you add?
- A. Append variable
- B. Switch
- C. Script
- D. Copy data
Answer: C
Explanation:
In a Fabric Data Factory pipeline, to execute a stored procedure and make the returned values available for downstream activities, the Lookup activity is used. This activity can retrieve a dataset from a data store and pass it on for further processing. Here's how you would use the Lookup activity in this context:
Add a Lookup activity to your pipeline.
Configure the Lookup activity to use the stored procedure by providing the necessary SQL statement or stored procedure name.
In the settings, specify that the activity should use the stored procedure mode.
Once the stored procedure executes, the Lookup activity will capture the results and make them available in the pipeline's memory.
Downstream activities can then reference the output of the Lookup activity.
NEW QUESTION # 121
You have a Fabric tenant that contains a Microsoft Power Bl report named Report 1. Report1 includes a Python visual. Data displayed by the visual is grouped automatically and duplicate rows are NOT displayed. You need all rows to appear in the visual. What should you do?
- A. Modify the Sort Column By property for all columns.
- B. Reference the columns in the Python code by index.
- C. Add a unique field to each row.
- D. Modify the Summarize By property for all columns.
Answer: B
Explanation:
To ensure all rows appear in the Python visual within a Power BI report, option C, adding a unique field to each row, is the correct solution. This will prevent automatic grouping by unique values and allow for all instances of data to be represented in the visual. Reference = For more on Power BI Python visuals and how they handle data, please refer to the Power BI documentation.
NEW QUESTION # 122
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