You are building a Power Bl dataset that contains a table named Calendar. Calendar contains the following calculated column.
pfflag = IF('Calendar'[Date] < TOOAYQ, "Past", "Future")
You need to create a measure that will perform a fiscal prior year-to-date calculation that meets the following requirements:
* Returns the fiscal prior year-to-date value for [sales Amount]
* Uses a fiscal year end of June 30
* Produces no result for dates in the future
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Reference:
https://docs.microsoft.com/en-us/dax/sameperiodlastyear-function-dax
https://docs.microsoft.com/en-us/dax/datesytd-function-dax

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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.

Correct Answer:

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.

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You have a deployment pipeline for a Power BI workspace. The workspace contains two datasets that use import storage mode.
A database administrator reports a drastic increase in the number of queries sent from the Power Bi service to an Azure SQL database since the creation of the deployment pipeline.
An investigation into the issue identifies the following:
One of the datasets is larger than 1 GB and has a fact table that contains more than 500 million rows.
When publishing dataset changes to development, test, or production pipelines, a refresh is triggered against the entire dataset.
You need to recommend a solution to reduce the size of the queries sent to the database when the dataset changes are published to development, test, or production.
What should you recommend?

• A.Request the authors of the deployment pipeline datasets to reduce the number of datasets republished during development.
• B.In the dataset, delete the fact table.
• C.Configure the dataset to use a composite model that has a DirectQuery connection to the fact table.
• D.From Capacity settings in the Power Bi Admin portal, reduce the Max Intermediate Row Set Count setting.

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You have five Power Bl reports that contain R script data sources and R visuals.
You need to publish the reports to the Power Bl service and configure a daily refresh of datasets.
What should you include in the solution?

• A.a Power Bl Embedded capacity
• B.an on-premises data gateway (standard mode)
• C.a workspace that connects to an Azure Data Lake Storage Gen2 account
• D.an on-premises data gateway (personal mode)

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Note: This question is part of a series of questions that present the same scenario. Each question in the series
contains a unique solution that might meet the stated goals. Some question sets might have more than one
correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions
will not appear in the review screen.
You have a Power Bl dataset named Dataset1.
In Dataset1, you currently have 50 measures that use the same time intelligence logic.
You need to reduce the number of measures, while maintaining the current functionality.
Solution: From Tabular Editor, you create a calculation group.
Does this meet the goal?

• A.No
• B.Yes

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