DP-600 DUMPS COLLECTION | NEW DP-600 CRAM MATERIALS

DP-600 Dumps Collection | New DP-600 Cram Materials

DP-600 Dumps Collection | New DP-600 Cram Materials

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Tags: DP-600 Dumps Collection, New DP-600 Cram Materials, Exam DP-600 Reviews, DP-600 Valid Exam Simulator, Real DP-600 Question

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Microsoft DP-600 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • Implement and manage semantic models: The topic delves into designing and building semantic models, and optimizing enterprise-scale semantic models.
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
  • Explore and analyze data: It also deals with performing exploratory analytics. Moreover, the topic delves into query data by using SQL.

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q81-Q86):

NEW QUESTION # 81
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


NEW QUESTION # 82
You have a Fabric tenant that contains a semantic model. The model contains 15 tables.
You need to programmatically change each column that ends in the word Key to meet the following requirements:
* Hide the column.
* Set Nullable to False.
* Set Summarize By to None
* Set Available in MDX to False.
* Mark the column as a key column.
What should you use?

  • A. Microsoft Power Bl Desktop
  • B. DAX Studio
  • C. ALM Toolkit
  • D. Tabular Editor

Answer: D

Explanation:
Tabular Editor is an advanced tool for editing Tabular models outside of Power BI Desktop that allows you to script out changes and apply them across multiple columns or tables. To accomplish the task programmatically, you would:
Open the model in Tabular Editor.
Create an Advanced Script using C# to iterate over all tables and their respective columns.
Within the script, check if the column name ends with 'Key'.
For columns that meet the condition, set the properties accordingly: IsHidden = true, IsNullable = false, SummarizeBy = None, IsAvailableInMDX = false.
Additionally, mark the column as a key column.
Save the changes and deploy them back to the Fabric tenant.


NEW QUESTION # 83
You to need assign permissions for the data store in the AnalyticsPOC workspace. The solution must meet the security requirements.
Which additional permissions should you assign when you share the data store? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 84
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 # 85
You have a Fabric tenant that contains a lakehouse named lakehouse1. Lakehouse1 contains an unpartitioned table named Table1.
You plan to copy data to Table1 and partition the table based on a date column in the source data.
You create a Copy activity to copy the data to Table1.
You need to specify the partition column in the Destination settings of the Copy activity.
What should you do first?

  • A. From the Destination tab, select the partition column,
  • B. From the Destination tab, set Mode to Overwrite.
  • C. From the Destination tab, set Mode to Append.
  • D. From the Source tab, select Enable partition discovery

Answer: A

Explanation:
Before specifying the partition column in the Destination settings of the Copy activity, you should set Mode to Append (A). This will allow the Copy activity to add data to the table while taking the partition column into account. References = The configuration options for Copy activities and partitioning in Azure Data Factory, which are applicable to Fabric dataflows, are outlined in the official Azure Data Factory documentation.


NEW QUESTION # 86
......

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