Question # 1 Note: This question is a part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series. Start of repeated scenario You have a Microsoft SQL Server database that has the tables shown in the Database Diagram exhibit. (Click the Exhibit.) Which DAX formula should you use?
A. Product Ranking= RANKX (Product, [SalesAmount], , DESC, Skip)
B. Product Ranking= RANKX (ALL, (‘Product’), [SalesAmount], , DESC, Dense)
C. Product Ranking= RANKX (ALL, (‘Product’), [SalesAmount], , DESC, Skip)
D. Product Ranking= RANKX (ALL (‘Product’), [SalesAmount], , Asc, Dense
Click for Answer
B. Product Ranking= RANKX (ALL, (‘Product’), [SalesAmount], , DESC, Dense)
Answer Description Explanation: References: https://msdn.microsoft.com/en-us/library/gg492185.aspx
Question # 2 You have a collection of reports for the HR department of your company. You need to create a visualization for the HR department that shows a historic employee counts and predicts trends during the next six months. Which type of visualization should you use?
A. scatter chart
B. ribbon chart
C. line chart
D. key influences
Click for Answer
Answer Description Explanation: The best data for forecasting is time series data or uniformly increasing whole numbers. The line chart has to have only one line. Try forecasting: Try the new forecasting capabilities of Power View today on your own data or with the sample report available as part of the Power BI report samples. To view your own data, upload a workbook with a Power View time series line chart to Power BI for Office 365. Reference: https://powerbi.microsoft.com/en-us/blog/introducing-new-forecasting-capabilities-in-powerview- for-office-365
Question # 3 You are building a Power BI report to analyze customer segments. You need to identify customer segments dynamically based on the Bounce Rate across dimensions such as source, geography, and demographics. The solution must minimize analysis effort. Which type of visualization should you use?
A. decomposition tree
B. funnel chart
C. Q&A
D. key influencers
Click for Answer
Answer Description Explanation: The key influencers visual is a great choice if you want to: See which factors affect the metric being analyzed. Contrast the relative importance of these factors. For example, do short-term contracts affect churn more than long-term contracts? Note: The key influencers visual helps you understand the factors that drive a metric you're interested in. It analyzes your data, ranks the factors that matter, and displays them as key influencers. For example, suppose you want to figure out what influences employee turnover, which is also known as churn. One factor might be employment contract length, and another factor might be commute time. https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-influencers
Question # 4 You have a Power Bi report for the procurement department. The report contains data from the following tables.
A. Remove the rows from Lineitems where LineItems[invoice Date] is before the beginning of last month
B. Merge Suppliers and Uneltems.
C. Group Lineltems by Lineitems[ invoice id) and Lineitems[invoice Date) with a sum of Lineitems(price).
D. Remove the Lineitems[Description] column.
Click for Answer
D. Remove the Lineitems[Description] column.
Question # 5 You import a Power Bl dataset that contains the following tables:
• Date • Product • Product Inventory
The Product inventory table contains 25 million rows. A sample of the data is shown in the following table.
The Product Inventory table relates to the Date table by using the DateKey column. The Product inventory table relates to the Product table by using the ProductKey column. You need to reduce the size of the data model without losing information. What should you do?
A. Change Summarization for DateKey to Don't Summarize
B. Change the data type of UnitCost to Integer.
C. Remove the relationship between Date and Product Inventory.
D. Remove MovementDate
Click for Answer
Question # 6 You have a dataset named Pens that contains the following columns: Unit Price Quantity Ordered You need to create a visualization that shows the relationship between Unit Price and Quantity Ordered. The solution must highlight orders that have a similar unit price and ordered quantity. Which type of visualization and which feature should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer Description
Question # 7 You have a dataset that is used infrequently and refreshes every hour. You receive a notification that the refresh was disabled due to inactivity. Which two actions will cause the scheduled refresh schedule to resume? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. Enable query caching for the dataset.
B. Import the dataset to Microsoft Excel.
C. From the Power BI service, open a dashboard that uses the dataset.
D. From the Power BI service, open a report that uses the dataset.
E. From PowerShell, run the get-powerbireport cmdlet.
Click for Answer
C. From the Power BI service, open a dashboard that uses the dataset.
D. From the Power BI service, open a report that uses the dataset.
Answer Description After two months of inactivity, scheduled refresh on your dataset is paused. A dataset is considered inactive when no user has visited any dashboard or report built on the dataset. At that time, the dataset owner is sent an email indicating the scheduled refresh is paused. The refresh schedule for the dataset is then displayed as disabled. To resume scheduled refresh, simply revisit any dashboard or report built on the dataset. https://learn.microsoft.com/en-us/power-bi/connect-data/refresh-scheduledrefresh#scheduled-refresh
Question # 8 How should you distribute the reports to the board? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer Description
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