Question # 1
Which DAX expression should you use to get the ending balances in the balance sheet reports?
| A. CALCULATE ( SUM( BalanceSheet [BalanceAmount] ), DATESQTD( 'Date'[Date] ) )
| B. CALCULATE ( SUM( BalanceSheet [BalanceAmount] ), LASTDATE( 'Date'[Date] ) )
| C. FIRSTNONBLANK ( 'Date' [Date] SUM( BalanceSheet[BalanceAmount] ) )
| D. CALCULATE ( MAX( BalanceSheet[BalanceAmount] ), LASTDATE( 'Date' [Date] ) ) |
A. CALCULATE ( SUM( BalanceSheet [BalanceAmount] ), DATESQTD( 'Date'[Date] ) )
Explanation: Scenario: At least one of the balance sheet reports in the quarterly reporting package must show the ending balances for the quarter, as well as for the previous quarter. DATESQTD returns a table that contains a column of the dates for the quarter to date, in the current context. Reference: https://docs.microsoft.com/en-us/dax/datesqtd-function-dax
Question # 2
You plan to use Power BI Desktop optimized for Power BI Report Server to create a report. The report will be published to Power BI Report Server. You need to ensure that all the visualization in the report can be consumed by users. Which two types of visualizations should you exclude from the report? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
| A. Funnel charts
| B. Custom visuals
| C. Bubble maps
| D. Breadcrumbs
| E. R visuals |
D. Breadcrumbs
E. R visuals
Explanation: References: https://powerbi.microsoft.com/en-us/guided-learning/reportserver-quickstartpowerbi- report/
Question # 3
You have sales data in a star schema that contains four tables named Sales, Customer, Date, and Product. The Sales table contains purchase and ship dates. Most often, you will use the purchase date to analyze the data, but you will analyze the data by both dates independently and together. You need to design an imported dataset to support the analysis. The solution must minimize the model size and the number of queries against the data source. Which data modeling design should you use?
| A. Use the Auto Date/Time functionality in Microsoft Power BI and do NOT import the Date table.
| B. Duplicate the Date query in Power Query and use active relationships between both Date tables.
| C. On the Date table, use a reference query in Power Query and create active relationships between Sales and both Date tables in the modeling view.
| D. Create an active relationship between Sales and Date for the purchase date and an inactive relationship for the ship date |
D. Create an active relationship between Sales and Date for the purchase date and an inactive relationship for the ship date
Explanation: Only one relationship can be active. Note: If you query two or more tables at the same time, when the data is loaded, Power BI Desktop attempts to find and create relationships for you. The relationship options Cardinality, Cross filter direction, and Make this relationship active are automatically set. Reference: https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-create-and-managerelationships
Question # 4
You import two Microsoft Excel tables named Customer and Address into Power Query. Customer contains the following columns: Customer ID Customer Name Phone Email Address Address ID Address contains the following columns: Address ID Address Line 1 Address Line 2 City State/Region Country Postal Code The Customer ID and Address ID columns represent unique rows. You need to create a query that has one row per customer. Each row must contain City, State/Region, and Country for each customer. What should you do?
| A. Merge the Customer and Address tables.
| B. Transpose the Customer and Address tables.
| C. Group the Customer and Address tables by the Address ID column.
| D. Append the Customer and Address tables |
A. Merge the Customer and Address tables.
Explanation: There are two primary ways of combining queries: merging and appending. When you have one or more columns that you’d like to add to another query, you merge the queries. When you have additional rows of data that you’d like to add to an existing query, you append the query. Reference: https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-shape-and-combine-data
Question # 5
From Power 61 Desktop, you publish a new dataset and report lo a Power Bl workspace. The dataset has a row-level security (RLS) role named HR. You need to ensure that the HR team members have RLS applied when they view reports based on the dataset. What should you do? | A. From Power Bl Desktop, change the Row-Level Security settings. | B. From Power Bl Desktop, import a table that contains the HR team members | C. From powerbi.com.add users to the HR role for the dataset. | D. From powerbi.com, share the dataset to the HR team members. |
C. From powerbi.com.add users to the HR role for the dataset.
Question # 6
You need to create the Top Customers report. Which type of filter should you use, and at which level should you apply the filter? To answer, select the appropriate options in the answer area. NOTE; Each correct selection is worth one point.
 |

Question # 7
You have two tables named Customers and Invoice in a Power BI model. The Customers table contains the following fields: CustomerID Customer City Customer State Customer Name Customer Address 1 Customer Address 2 Customer Postal Code The Invoice table contains the following fields: Order ID Invoice ID Invoice Date Customer ID Total Amount Total Item Count The Customers table is related to the Invoice table through the Customer ID columns. A customer can have many invoices within one month. The Power BI model must provide the following information: The number of customers invoiced in each state last month The average invoice amount per customer in each postal code You need to define the relationship from the Customers table to the Invoice table. The solution must optimize query performance. What should you configure? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
 |

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