DA-100 Exam Questions
Analyzing Data with Microsoft Power BI (DA-100 Exam)
The Analyzing Data with Microsoft Power BI (DA-100 Exam) is an exam that tests the candidates’ knowledge and skills regarding data analysis techniques. As far as the role of a data analyst is concerned, they enable the business to increase the value of their data assets. This is done by using Microsoft Power BI. As a professional and expert, data analysts ensure that the designing and building of scalable data models is done right. The cleaning and transformation of data, allowing advanced data analytic capabilities to get meaningful value to the business, are other responsibilities of the data analyst. For appearing in the Analyzing Data with Microsoft Power BI (DA-100 Exam), the data analysts are required to have a fundamental/basic understanding of data repositories and data processing.
DA-100 Exam Info
Exam Name: Analyzing Data with Microsoft Power BI
Exam Duration: 180 mins
Exam Format: Multiple Choice
Exam Type: Cloud Computing
Questions in Exam: 40-60 Questions
Exam Fee: $165 USD*
Language: English, Japanese, Chinese, Korean
Pass Score: 700 (on a scale of 1-1000)
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DA-100 Practice Questions
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Analyzing Data with Microsoft Power BI Questions and Answers
You need to recommend a strategy to consistently define the business unit, department, and product category data and make the data usable across reports.
What should you recommend?
You need to calculate the last day of the month in the balance sheet data to ensure that you can relate the balance sheet data to the Date table. Which type of calculation and which formula should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Box 1: A DAX Calculated measure
Box 2: Date.EndofQuarter(#date([Year],[Mont],1))
ENDOFQUARTER returns the last date of the quarter in the current context for the specified column of dates.
The following sample formula creates a measure that returns the end of the quarter, for the current context.
What is the minimum number of datasets and storage modes required to support the reports?
"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" => one dataset and two separate workspaces Reason: All data can be imported into one dataset also if these are two logical models. Shared dimensions can be reconsumed in both models. Reports and additional materials can be shared to the board with an app. The "profit and loss" data model needs RLS for the analysts and the analysts must have just read access to the original workspace. In a separate workspace with contributer (or more rights) they can create new reports (with live connection to the dataset). It is also stated that the new reports mustn't be shared so therefore no need to include them into the app. Import vs. DirectQuery: Due to RLS requirements an imported dataset is needed. It is not possible with file sources and Sharepoint lists.
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