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Microsoft DP-600 Exam Syllabus Topics:

Topic
Details

Topic 1

Prepare data: In this topic, questions about creating objects in a lakehouse or warehouse, copying data, transforming data, and optimizing performance appear.

Topic 2

Implement and manage semantic models: The topic delves into designing and building semantic models, and optimizing enterprise-scale semantic models.

Topic 3

Maintain a data analytics solution: This section is all about implementing security and governance. In this topic, you also get information about maintaining the analytics development lifecycle.

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q51-Q56):

NEW QUESTION # 51
You need to provide Power Bl developers with access to the pipeline. The solution must meet the following requirements:
* Ensure that the developers can deploy items to the workspaces for Development and Test.
* Prevent the developers from deploying items to the workspace for Production.
* Follow the principle of least privilege.
Which three levels of access should you assign to the developers? Each correct answer presents part of the solution. NOTE: Each correct answer is worth one point.

A. Viewer access to the Development and Test workspaces
B. Build permission to the production semantic models
C. Viewer access to the Production workspace
D. Admin access to the deployment pipeline
E. Contributor access to the Production workspace
F. Contributor access to the Development and Test workspaces

Answer: C,D,F

NEW QUESTION # 52
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. ALM Toolkit
C. DAX Studio
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 # 53
You have the source data model shown in the following exhibit.

The primary keys of the tables are indicated by a key symbol beside the columns involved in each key.
You need to create a dimensional data model that will enable the analysis of order items by date, product, and customer.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

* The relationship between OrderItem and Product must be based on: Both the CompanyID and the ProductID columns
* The Company entity must be: Denormalized into the Customer and Product entities In a dimensional model, the relationships are typically based on foreign key constraints between the fact table (OrderItem) and dimension tables (Product, Customer, Date). Since CompanyID is present in both the OrderItem and Product tables, it acts as a foreign key in the relationship. Similarly, ProductID is a foreign key that relates these two tables. To enable analysis by date, product, and customer, the Company entity would need to be denormalized into the Customer and Product entities to ensure that the relevant company information is available within those dimensions for querying and reporting purposes.
References =
* Dimensional modeling
* Star schema design

NEW QUESTION # 54
You are analyzing customer purchases in a Fabric notebook by using PySpark.
You have the following DataFrames:
- transactions: Contains five columns named transaction_id,
customer_id, product_id, amount, and date and has 10 million rows, with each row representing a transaction.
- customers: Contains customer details in 1,000 rows and three columns
named customer_id, name, and country.
You need to join the DataFrames on the customer_id column. The solution must minimize data shuffling.
You write the following code.
from pyspark.sql import functions as F
results =
Which code should you run to populate the results DataFrame?

A. transactions.join(customers, transactions.customer_id == customers.customer_id).distinct()
B. transactions.join(F.broadcast(customers), transactions.customer_id == customers.customer_id)
C. transactions.crossJoin(customers).where(transactions.customer_id == customers.customer_id)
D. transactions.join(customers, transactions.customer_id == customers.customer_id)

Answer: B

Explanation:
https://sparkbyexamples.com/spark/broadcast-join-in-spark/"

NEW QUESTION # 55
You have a Fabric tenant that contains 30 CSV files in OneLake. The files are updated daily.
You create a Microsoft Power Bl semantic model named Modell that uses the CSV files as a data source. You configure incremental refresh for Model 1 and publish the model to a Premium capacity in the Fabric tenant.
When you initiate a refresh of Model1, the refresh fails after running out of resources.
What is a possible cause of the failure?

A. Query folding is NOT occurring.
B. Query folding is occurring.
C. Only refresh complete days is selected.
D. XMLA Endpoint is set to Read Only.
E. The data type of the column used to partition the data has changed.

Answer: E

Explanation:
A possible cause for the failure is that query folding is NOT occurring (D). Query folding helps optimize refresh by pushing down the query logic to the source system, reducing the amount of data processed and transferred, hence conserving resources. References = The Power BI documentation on incremental refresh and query folding provides detailed information on this topic.

NEW QUESTION # 56
......

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Josh Scott Josh Scott

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