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NEW QUESTION: 1
A client uses Dynamics 365 Sales, Power BI datasets, and Power BI dataflows.
The Dynamics 365 Sales implementation has security roles that restrict data export. You need to ensure that data has the same restrictions in Power BI as it does in Dynamics 365 Sales.
You need to design the security to avoid sensitive data from being seen.
Which two actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Use Microsoft Dataverse restrictions before setting up the Power BI reports.
B. Limit the role in Dynamics 365 Sales to only data allowed so it cannot be exported to Microsoft Excel.
C. Limit the role and ensure that exporting to Microsoft Excel is not allowed in both Dynamics 365 Sales and Power BI.
D. Share Power BI dashboards only with users who are supported to see this data.
Answer: A,B
Explanation:
A: When you share a dashboard or report, the people you share it with can view it and interact with it, but can't edit it. They see the same data that you see in the dashboard and reports and get access to the entire underlying dataset unless row-level security (RLS) is applied to the underlying dataset.
B: Depending on the sensitivity of an organization's data, it is often necessary to disable the ability to export or print reports.
Reference:
https://docs.microsoft.com/en-us/power-bi/collaborate-share/service-share-dashboards

NEW QUESTION: 2
You need to ensure that all reports meet the reporting requirements.
What is the best way to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
A. Create a report. Copy the report to the PrivateAssemblies\ProjectItems\ReportProject folder in the Visual Studio directory. Create each new report by using the locally stored report
B. Create a report part. Publish the report part to a SharePoint site. Add the report part to each new report that is created.
C. Create a report. Copy the report to source code control. Create each new report by using the report template in source code control.
D. Create a report part. Publish the report part to a server that has SSRS installed. Add the report part to each new report that is created.
Answer: A
Explanation:
Topic 2, Tailspin Toys Case B
Overview
Tailspin Toys is a manufacturing company that has offices across the United States, Europe, and Asia.
Tailspin Toys plans to implement a business intelligence (BO solution for its US-based headquarters to manage the sales data, including information on customer transactions, products, sales quotas, and bonuses.
Existing Environment Data Sources
Tailspin Toys currently stores data in line-of-business applications, relational databases, flat files, and the following:
- A Microsoft Excel spreadsheet named MarketResearch.xlsx. The spreadsheet is stored on a network drive in a directory owned by an analyst. - A tabular model named Research.xlsx used in PowerPivot for Excel. Research.xlsx uses MarketResearch.xlsx as one of its data sources.
Network
The network contains an Active Directory forest named tailspintoys.com. The forest contains a Microsoft SharePoint Server 2013 server farm.
Implementation Plans
Databases
Tailspin Toys plans to build a star schema data warehouse named DB1. DB1 will be loaded from several different sources and will be updated nightly to contain new sales data.
DB1 will contain the following table types: - A fact table to store transactional data, including transaction date, productID, customerID, quantity, and sales amounts. - Dimension tables to store information about each customer, each product, each date, and each sales department user.
BI Semantic Models
Tailspin Toys plans to deploy the following BI semantic models:
- A multidimensional cube named CUBE1 that will store sales data. CUBE1 will be based on DB1 and will be hosted in SQL Server Analysis Services (SSAS). CUBE1 will contain two distinct count measures named UniqueCustomers and UniqueProducts. The measures are expected to aggregate hundreds of millions of rows from DB1.
- A tabular model named SalesCommission that will contain information about sales department user quotas and commissions. - A tabular model named Research that will contain the migrated model from Research.xlsx. - An instance of SSAS in tabular mode named Tabular.
Planned Reports and Queries
Tailspin Toys plans to implement the following reports and queries: - Power View reports that use data from the Research model. - Reports for each year the company recorded sales data that used the
SalesCommission model. The reports will use the Dates_Between() and the DatesInPeriod() DAX functions in queries. - Reports that use CUBE1 that contain the following query statements:

- A report named SalesByCategory that uses CUBE1 and the following query statement: (Line numbers are included for reference only.)

Self-Service Reporting
Tailspin Toys plans to deploy the following self-service reports: - Reports created by sales department specialists that use CUBE1 and contain drillthroughs, maps, sparklines, and Key Performance Indicators (KPIs). The reports will be stored in a SharePoint Server document library named Library1. - Reports created by sales department managers that use the SalesCommission model. The reports will contain visualizations that show sales department users their current sales as compared to their quota. - Power Pivot models stored in a SharePoint Server document library that is configured as a PowerPivot Gallery named Gallery1.
Requirements
Data Security Requirements
Sales department users browsing CUBE1 must be able to view the sales data that relates to their respective customers only.
Access to reports must be controlled by using SharePoint permissions.
ETL Requirements
Tailspin Toys identifies the following extract, transformation, and load (ETL) requirements: - Nightly updates of DB1 must support the incremental load of dimension and fact tables on separate schedules. Fact data may be loaded before dimension data. - ETL processes must be able to update dimension attributes without losing context for historical facts. - Referential integrity between dimension and fact tables must be maintained at all times.
Cube Performance Requirements
The design of CUBE1 must minimize the processing time of the UniqueCustomers and UniqueProducts measures.
The time required to process CUBE1 each night must be minimized.
Data Refresh Requirements
The Research model must be refreshed nightly without interrupting the workflow of the analyst.

NEW QUESTION: 3
Which of the following is/are differences between depreciation and depletion?
I. Depletion can be applied only to natural resources while depreciation can be applied to most production resources.
II. The amount of depletion depends upon total production but the amount of depreciation need not be so dependent.
III. Depreciation expenses conform with accrual accounting while depletion expenses conform with cost recovery accounting.
A. I & II
B. none of these answers
C. I, II & III
D. II & III
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Depletion expenses also conform with accrual accounting.