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Languages: English

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: implement and manage a data analytics environment; query and transform data; implement and manage data models; and explore and visualize data.

Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Sample Questions (Q21-Q26):

NEW QUESTION # 21
You need to recommend a solution to add new fields to the financial data Power Bl dataset with data from the Microsoft SQL Server data warehouse.
What should you include in the recommendation?

• A. Site-to-Site VPN
• B. an XMLA endpoint
• C. the on-premises data gateway
• D. Azure Purview

Answer: C

Explanation:
Refresh data from an on-premises SQL Server database
The SQL Server database must be accessed by Power BI through an on-premises data gateway.
You can install an on-premises data gateway on the same local computer as SQL Server (in production, it would typically be a different computer).

NEW QUESTION # 22
You have an Azure subscription that contains an Azure Synapse Analytics workspace. You create an Azure Data Lake Storage Gen2 account and upload a CSV file named Filel.csv. You need to use Synapse Studio to query the data in Filel.csv by using a serverless SQL pool. Which Transact-SQL operator should you include in the query?

• A. STRIMO_SPLIT
• B. OPENOUERY
• C. OPEMDATASOURCE
• D. OPCNROWSET

Answer: D

NEW QUESTION # 23
You have a Power Bl dataset that has the query dependencies shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/powerquery-m/table-buffer
Topic 2, Litware, Inc.
Azure Resources
Litware has the following Azure resources:
* An Azure Synapse Analytics workspace named synapseworkspace1
* An Azure Data Lake Storage Gen2 account named datalake1 that is associated with synapseworkspace1
* A Synapse Analytics dedicated SQL pool named SQLDW
Dedicated SQL Pool
SQLDW contains a dimensional model that contains the following table.

SQLDW contains the following additional tables.

SQLDW contains a view named dbo.CustomerPurchases that creates a distinct list of values from dbo.Customer [customeriD], dbo.Customer
[CustomerEmail], dbo.ProductfProductID] and dbo.Product[ProductName].
The sales data in SQLDW is updated every 30 minutes. Records in dbo.SalesTransactions are updated in SQLDW up to three days after being created. The records do NOT change after three days.
Power BI
Litware has a new Power Bl tenant that contains an empty workspace named Sales Analytics.
All users have Power B1 Premium per user licenses.
IT data analysts are workspace administrators. The IT data analysts will create datasets and reports.
A single imported dataset will be created to support the company's sales analytics goals. The dataset will be refreshed every 30 minutes.
Analytics Goals
Litware identifies the following analytics goals:
* Provide historical reporting of sales by product and channel over time.
* Allow sales managers to perform ad hoc sales reporting with minimal effort.
* Perform market basket analysis to understand which products are commonly purchased in the same transaction.
* Identify which customers should receive promotional emails based on their likelihood of purchasing promoted products.
Litware plans to monitor the adoption of Power Bl reports over time. The company wants custom Power Bl usage reporting that includes the percent change of users that view reports in the Sales Analytics workspace each month.
Security Requirements
Litware identifies the following security requirements for the analytics environment:
* All the users in the sales department and the marketing department must be able to see Power B1 reports that contain market basket analysis and data about which customers are likely to purchase a product.
* Customer contact data in SQLDW and the Power B1 dataset must be labeled as Sensitive. Records must be kept of any users that use the sensitive data.
* Sales associates must be prevented from seeing the CustomerEmail column in Power B1 reports.
* Sales managers must be prevented from modifying reports created by other users.
Development Process Requirements
Litware identifies the following development process requirements:
* SQLDW and datalake1 will act as the development environment. Once feature development is complete, all entities in synapseworkspace1 will be promoted to a test workspace, and then to a production workspace.
* Power Bl content must be deployed to test and production by using deployment pipelines.
* All SQL scripts must be stored in Azure Repos.
The IT data analysts prefer to build Power Bl reports in Synapse Studio.

NEW QUESTION # 24
You have a file named File1.txt that has the following characteristics:
* A header row
* Tab delimited values
* UNIX-style line endings
You need to read File1.txt by using an Azure Synapse Analytics serverless SQL pool.
Which query should you execute?
A)

B)

C)

D)

• A. Option B
• B. Option A
• C. Option D
• D. Option C

Answer: B

NEW QUESTION # 25
You need to implement object-level security (OLS) in the Power Bl dataset for the sales associates.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

1 - From Power BI Desktop, create a role for the sales associates.
2 - From Tabular Editor, set Object Level Security to None for the Customer[Email] column and save the changes.
3 - From Power Bl Desktop, publish the dataset to the sales analytics workspace.

NEW QUESTION # 26
......

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