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Question No. 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Power BI report that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys:
Due Date
Order Date
Delivery Date
You need to support the analysis of sales over time based on all the date foreign keys.
Solution: From Power Query Editor, you rename the date query as Due Date. You reference the Due Date query twice to make the queries for Order Date and
Delivery Date.
Does this meet the goal?
A. Yes
B. No
Answer: A
Question No. 2
What is the minimum number of Power BI datasets needed to support the reports?
A. a single imported dataset
B. two imported datasets
C. two DirectQuery datasets
D. a single DirectQuery dataset
Answer: A
Question No. 3
The table has the following columns.
You need to add a column that will be used to sort the Year Month column chronologically.
A. Option A
B. Option B
C. Option C
D. Option D
Answer: A, D
Question No. 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
From Power Query Editor, you profile the data shown in the following exhibit.
The IoT GUID and IoT ID columns are unique to each row in query.
You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.
Solution: You remove the loT GUID column and retain the loT ID column.
Does this meet the goal?
A. Yes
B. No
Answer: A
Question No. 5
What should you do to address the existing environment data concerns?
A. a calculated column that uses the following formula: ABS(Sales[sales_amount])
B. a measure that uses the following formula: SUMX(FILTER('Sales', 'Sales'[sales_amount] > 0)),[sales_amount])
C. a measure that uses the following formula: SUM(Sales[sales_amount])
D. a calculated column that uses the following formula: IF(ISBLANK(Sales[sales_amount]),0, (Sales[sales_amount]))
Answer: B