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Question 1:
HOTSPOT
You have a dataset named Pens that contains the following columns:
1. Unit Price
2. 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.
Hot Area:
Correct Answer:
Box 1: A scatter plot…
A scatter chart always has two value axes to show: one set of numerical data along a horizontal axis and another set of numerical values along a vertical axis. The chart displays points at the intersection of an x and y numerical value, combining these values into single data points.
Power BI may distribute these data points evenly or unevenly across the horizontal axis. It depends on the data the chart represents.
Box 2: Automatically find clusters
Scatter charts are a great choice to show patterns in large sets of data, for example by showing linear or non-linear trends, clusters, and outliers.
Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-scatter
Question 2:
You have an app workspace that contains a dashboard and four reports. All the reports are generated from a single dataset that contains sales data for your company. The reports display the data configured as shown in the following table.
You need to ensure that the users of the reports can locate the correct report by using natural language queries. What should you do?
A. From the properties of the dataset, create four Featured QandA Questions.
B. From the Format settings of the reports, modify the Page Information.
C. From the properties of the dataset, modify the QandA and Cortana settings.
D. From the properties of the workspace, modify the Language Settings.
Correct Answer: C
References: https://docs.microsoft.com/en-us/power-bi/service-q-and-a-direct-query#limitations-during-public-preview
Question 3:
HOTSPOT
You have a column named UnitsInStock as shown in the following exhibit.
UnitsInStock has 75 non-null values, of which 51 are unique.
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.
Hot Area:
Correct Answer:
Box 1: 75
Box 2: reduce
They reduce from the number of values (75), to the number of unique values (51).
Reference:
https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-show-items-no-data
Question 4:
HOTSPOT
You have two Azure SQL databases that contain the same tables and columns. For each database, you create a query that retrieves data from a table named Customer.
You need to determine the Customer tables into a single table. The solution must minimize the size of the data model and support scheduled refresh in powerbi.com. What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Correct Answer:
Box 1: Append Queries as New.
There are two primary ways of combining queries: merging and appending.
1. When you have one or more columns that you’d like to add to another query, you merge the queries.
2. When you have additional rows of data that you’d like to add to an existing query, you append the query.
Box 2: Disable loading the query to the data model
For every query that loads into the model memory will be consumed. and Memory is our asset in the Model, less memory consumption leads to better performance in most cases. The best approach is to disable loading.
Reference: https://docs.microsoft.com/en-us/power-query/append-queries
Question 5:
HOTSPOT
You have two tables named Customers and Invoice in a Power BI model. The Customers table contains the following fields:
1. CustomerID
2. Customer City
3. Customer State
4. Customer Name
5. Customer Address 1
6. Customer Address 2
7. Customer Postal Code
The Invoice table contains the following fields:
1. Order ID
2. Invoice ID
3. Invoice Date
4. Customer ID
5. Total Amount
6. 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.
Hot Area:
Correct Answer:
Box 1: One-to-many
A customer can have many invoices within one month.
Box 2: Single
For One-to-many relationships, the cross-filter direction is always from the “one” side, and optionally from the “many” side (bi-directional).
Single cross-filter direction means “single direction”, and Both means “both directions”. A relationship that filters in both directions is commonly described as bi-directional.
Question 6:
You have a QandA visual that displays information from a table named Carriers as shown in the following exhibit.
You need to ensure that users can ask questions by using the term airline or carrier. The solution must minimize changes to the data model. What should you do?
A. Add a duplicate query named Airline.
B. Add airline as a synonym of the carrier.
C. Rename the carrier column as an airline in the Carriers query.
D. Rename the query from Carriers to airlines.
Correct Answer: B
Add synonyms to tables and columns: This step applies specifically to QandA (and not to Power BI reports in general). Users often have a variety of terms they use to refer to the same thing, such as total sales, net sales, and total net sales. You can add these synonyms to tables and columns in the Power BI model.
This step can be important. Even with straightforward table and column names, users of QandA ask questions using the vocabulary that first comes to them. They\’re not choosing from a predefined list of columns. The more sensible synonyms you add, the better your users\’ experience is with your report.
Reference: https://docs.microsoft.com/en-us/power-bi/natural-language/q-and-a-best-practices
Question 7:
DRAG DROP
You build a report about warehouse inventory data. The dataset has more than 10 million product records from 200 warehouses worldwide.
You have a table named Products that contains the columns shown in the following table.
Warehouse managers report that it is difficult to use the report because the report uses only the product name in tables and visuals. The product name is contained within the ProductDescription column and is always the fourth value.
You need to modify the report to support the warehouse manager’s requirement to explore inventory levels at different levels of the product hierarchy. The solution must minimize the model size.
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.
Select and Place:
Correct Answer:
Power BI Desktop supports the use of inline hierarchy labels. With inline hierarchy labels, you can see hierarchy labels as you expand visuals using the Expand All feature.
Reference: https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-inline-hierarchy-labels
Question 8:
You need to create a Power Bl theme that will be used in multiple reports. The theme will include corporate branding for font size, color, and bar chart formatting.
What should you do?
A. Create a theme as a PBIVIZ file and import the theme into Power Bl Desktop.
B. Create a theme as a JSON file and import the theme into Power Bl Desktop.
C. From Power Bl Desktop, use a built-in report theme.
D. From Power Bl Desktop, customize the current theme.
Correct Answer: D
Question 9:
You have a data model that contains many complex DAX expressions. The expressions contain frequent references to the RELATED and RELATED TABLE functions.
You need to recommend a solution to minimize the use of the RELATED and RELATED TABLE functions.
What should you recommend?
A. Merge tables by using Power Query.
B. Hide unused columns in the model.
C. Split the model into multiple models.
D. Transpose.
Correct Answer: A
Combining data means connecting to two or more data sources, shaping them as needed, then consolidating them into a user query. When you have one or more columns that you\’d like to add to another query, you merge the queries.
Note: The RELATEDTABLE function is a shortcut for the CALCULATETABLE function with no logical expression. CALCULATETABLE evaluates a table expression in a modified filter context and returns A table of values.
Reference: https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-shape-and-combine-data
Question 10:
DRAG DROP
You have a Microsoft Excel workbook that contains two sheets named Sheet1 and Sheet2. Sheet 1 contains the following table named Table 1.
Sheet 2 contains the following table named Table 2.
Select and Place:
Correct Answer:
Question 11:
DRAG DROP
Once the profit and loss dataset is created, which four actions should you perform in sequence to ensure that the business unit analysts see the appropriate profit and loss data? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:
Correct Answer:
Scenario: The analysts responsible for each business unit must see all the data the board sees, except the profit and loss data, which must be restricted to only their business unit\’s data. The analysts must be able to build new reports from
the dataset that contains the profit and loss data, but any reports that the analysts build must not be included in the quarterly reports for the board. The analysts must not be able to share the quarterly reports with anyone.
Define roles and rules in Power BI Desktop. You can define roles and rules within Power BI Desktop. When you publish to Power BI, it also publishes the role definitions.
To define security roles, follow these steps.
1. Import data into your Power BI Desktop report, or configure a DirectQuery connection. (step 1: From Power BI Desktop, publish the dataset to powerbi.com)
2. From the Modeling tab, select Manage Roles.
3. From the Manage roles window, select Create.
(Step 2: From Power BI Desktop, create four roles.)
4. Under Roles, provide a name for the role.
5. Under Tables, select the table to which you want to apply a DAX rule.
6. In the Table filter DAX expression box, enter the DAX expressions. This expression returns a value of true or false. For example: [Entity ID] = “Value”. (Step 3: From Power BI Desktop, add Table Filter DAX Expression to the roles.)
7. After you\’ve created the DAX expression, select the checkmark above the expression box to validate the expression.
8. Select Save.
Step 4: From powerbi.com, add role members to the roles.
You can’t assign users to a role within Power BI Desktop. You assign them to the Power BI service.
Reference: https://docs.microsoft.com/en-us/power-bi/admin/service-admin-rls
Question 12:
HOTSPOT
You have a folder of monthly transaction extracts. You plan to create a report to analyze the transaction data.
You receive the following email message: “Hi, I’ve put 24 files of monthly transaction data onto the shared drive. File Transactions201801.csv through Transaction201812.csv have four columns while files Transactions201901.csv through
Transaction201912.csv have the same four columns plus an additional three columns. Each file contains 10 to 50 transactions.”
You get data from the folder and select Combine and Load. The Combine Files dialog box is shown in the exhibit. (Click the Exhibit tab.)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
Correct Answer:
Box 1: Yes
The four columns used in the 2018 transactions are already displayed.
Box 2: Yes
The columns used are based on the entire dataset. The additional columns in the 2019 files will be detected.
Box 3: Yes
Note: Under the hoods, Power BI will automatically detect which delimiter to use, and may even promote the first row as headers. You can manually change the delimiter, or define how Power BI should handle data types. You can set it to
automatically detect data types based on the first 200 rows or the entire dataset or you can even opt out of the detection of data types.
Question 13:
You use Power 81 Desktop to load data from a Microsoft SQL Server database. While waiting for the data to load, you receive the following error.
You need to resolve the error.
What are two ways to achieve the goal? Each correct answer presents a complete solution
NOTE: Each correct selection is worth one point.
A. Split long-running queries into subsets Of columns and use power Query to the queries
B. Disable query folding on long-running queries
C. Reduce the number of rows and columns returned by each query.
D. Use Power Query to combine long-running queries into one query.
Correct Answer: BD
Question 14:
Your company plans to completely separate development and production assets such as datasets, reports, and dashboards in Microsoft Power BI.
You need to recommend an application lifecycle strategy. The solution must minimize access to production assets and prevent end users from viewing the development assets.
What should you recommend?
A. Create production reports in a separate workspace that uses a shared dataset from the development workspace. Grant the end users access to the production workspace.
B. Create one workspace for development. From the new workspace, publish an app for production.
C. Create a workspace for development and a workspace for production. From the production workspace, publish an app.
D. In one workspace, create separate copies of the assets and append DEV to the names of the copied assets. Grant the end users access to the workspace.
Correct Answer: C
Use different work stages (Development, Test, and Production).
Deploy from the Development workspace.
Question 15:
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answers choices, but the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
1. Date[Month] in the mmyyyy format
2. Date[Date_ID] in the ddmmyyyy format
3. Date[Date_name] in the mm/dd/yyyy format
4. Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data. You need to create a relationship between the Order table and the Store table on the Store_ID column. What should you do before you create the relationship?
A. In the Order table query, use the Table.TrasformRows function.
B. In the Store table query, use the Table.TrasformRows function.
C. In the Store table query, use the Table.TrasformColumnTypes function.
D. In the Order table query, use the Table.TrasformColumnTypes function.
Correct Answer: C
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