Microsoft DA-100 - Analyzing Data with Microsoft Power BI Exam
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Total 94 questions
Question #1 (Topic: Question Set 1)
You have a custom connector that returns ID, From, To, Subject, Body, and Has Attachments for every email sent during the past year. More than 10 million
records are returned.
You build a report analyzing the internal networks of employees based on whom they send emails to.
You need to prevent report recipients from reading the analyzed emails. The solution must minimize the model size.
What should you do?
records are returned.
You build a report analyzing the internal networks of employees based on whom they send emails to.
You need to prevent report recipients from reading the analyzed emails. The solution must minimize the model size.
What should you do?
A. Implement row-level security (RLS) so that the report recipients can only see results based on the emails they sent.
B. Remove the Subject and Body columns during the import.
C. From Model view, set the Subject and Body columns to Hidden.
Answer: B
Question #2 (Topic: Question Set 1)
You have the tables shown in the following table.
The Impressions table contains approximately 30 million records per month.
You need to create an ad analytics system to meet the following requirements:
✑ Present ad impression counts for the day, campaign, and Site_name. The analytics for the last year are required.
✑ Minimize the data model size.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
The Impressions table contains approximately 30 million records per month.
You need to create an ad analytics system to meet the following requirements:
✑ Present ad impression counts for the day, campaign, and Site_name. The analytics for the last year are required.
✑ Minimize the data model size.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Group the impressions by Ad_id, Site_name, and Impression_date. Aggregate by using the CountRows function.
B. Create one-to-many relationships between the tables.
C. Create a calculated measure that aggregates by using the COUNTROWS function.
D. Create a calculated table that contains Ad_id, Site_name, and Impression_date.
Answer: AB
Question #3 (Topic: Question Set 1)
Your company has training videos that are published to Microsoft Stream.
You need to surface the videos directly in a Microsoft Power BI dashboard.
Which type of tile should you add?
You need to surface the videos directly in a Microsoft Power BI dashboard.
Which type of tile should you add?
A. video
B. custom streaming data
C. text box
D. web content
Answer: D
Question #4 (Topic: Question Set 1)
You open a query in Power Query Editor.
You need to identify the percentage of empty values in each column as quickly as possible.
Which Data Preview option should you select?
You need to identify the percentage of empty values in each column as quickly as possible.
Which Data Preview option should you select?
A. Show whitespace
B. Column profile
C. Column distribution
D. Column quality
Answer: D
Question #5 (Topic: Question Set 1)
You have a prospective customer list that contains 1,500 rows of data. The list contains the following fields:
✑ First name
✑ Last name
✑ Email address
✑ State/Region
✑ Phone number
You import the list into Power Query Editor.
You need to ensure that the list contains records for each State/Region to which you want to target a marketing campaign.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
✑ First name
✑ Last name
✑ Email address
✑ State/Region
✑ Phone number
You import the list into Power Query Editor.
You need to ensure that the list contains records for each State/Region to which you want to target a marketing campaign.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Open the Advanced Editor.
B. Select Column quality.
C. Enable Column profiling based on entire dataset.
D. Select Column distribution.
E. Select Column profile.
Answer: CE
