70-779 Analyzing and Visualizing Data with Microsoft Excel

Published: July 31, 2017
Languages: English
Audiences: BI professionals, data analysts
Technology: Microsoft Excel, Power BI
Credit toward certification: MCSA

Skills measured
This exam measures your ability to accomplish the technical tasks listed below. View video tutorials about the variety of question types on Microsoft exams.

Please note that the questions may test on, but will not be limited to, the topics described in the bulleted text.

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Consume and Transform Data by Using Microsoft Excel (30-35%)
Import from data sources
Connect to and import from databases, files, and folders; connect to Microsoft SQL Azure, Big Data, SQL Server Analysis Services (SSAS), and Power Query; import supported file types; import from other Excel workbooks; link to data from other sources
Perform data transformations
Design and implement basic and advanced transformations, apply business rules, change data format to support visualization, filter data, format data
Cleanse data
Manage incomplete data; handle data received as a report; remove unnecessary rows, columns, and data; remove repeating headers

Model Data (35-40%)
Create and optimize data models
Manage data relationships, optimize models for reporting, manually enter data, perform Get & Transform, create automatic relationships, create manual relationships
Create calculated columns, measures, and tables
Create DAX queries, create DAX formulas, create Excel formulas
Create performance KPIs
Calculate the actual value, calculate the target value, calculate actual to target values
Create hierarchies
Create date hierarchies, create business hierarchies, resolve hierarchy issues

Visualize Data (30-35%)
Create and manage PivotTables
Format PivotTables and PivotCharts, format calculated measures, filter data, group and summarize data
Create and manage PivotCharts
Select a chart type, format calculated measures, filter data; group and summarize data, use slicers
Interact with Power BI
Import Excel data from Power BI, manipulate Excel data in Power BI

QUESTION 2
You have a Power Pivot data model that contains a table named DimProduct DimProduct has seven columns named ProductKey, ProductLabel, ProductName, ProductDescription, ProductSubCategoryKey, Manufacturer, and Brand.
Only the members of the product team use all the data in the DimProduct table.
You need to simplify the model for other users by hiding all the columns except ProductName.
What should you do?

A. Create a perspective that has only the ProductName field from DimProduct selected.
B. Select all the columns in DimProduct except ProductName, right-click the columns, and then click Hide from Client Tools.
C. Edit the Default Field Set for DimProduct and add ProductName to the Default Field.
D. Edit the Table Behavior settings for DimProduct and add ProductName to the Default Label.

Answer: B

Explanation: https://support.office.com/en-us/article/hide-columns-and-tables-in-power-pivot-ddf5b1f2-2ed2-4bdb-8f78-6f94503ca87a

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QUESTION 3
You have a measure that is used by a KPI.
You need to display the output of the measure in a cell in your workbook. Which Excel function should you use?

A. CUBEVALUE
B. VLOOKUP
C. CUBESET
D. LOOKUP

Answer: A

Explanation: https://support.office.com/en-us/article/cubevalue-function-8733da24-26d1-
4e34-9b3a-84a8f00dcbe0
https://powerpivotpro.com/2010/06/using-excel-cube-functions-with-powerpivot/

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QUESTION 4
You have a workbook query that loads data from a table in a Microsoft Azure SQL database. The table has a column named LineTotal. The following is a sample of the data in LineTotal:
• 40
• 1
• 999
• 7658
• 883432
You need to ensure that when you load the data to the model, LineTotal is set as currency.
What should you do from Query Editor?

A. Configure the Data Type
B. Round the column.
C. Split the column by characters.
D. Split the column by delimiter.

Answer: A

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QUESTION 5
You have an Excel workbook that has the following two workbook queries:
A query named Consultants that retrieves a table named Consultants_Contact from a
Microsoft SQL Server database
A query named Employees that retrieves a table named Employee_Contact from a Microsoft Azure SQL database
Both tables have the same columns.
You need to combine all the data from Consultants and Employees into one table.
Which command should you use?

A. Transpose
B. Merge Queries
C. Combine Binaries
D. Append Queries

Answer: D

Explanation:
Append is similar to UNION ALL in T-SQL.
Append Queries will NOT remove duplicates. You have to use Group By or Remove Duplicate Rows to get rid of duplicates.
Merge is similar to JOIN in T-SQL
https://radacad.com/append-vs-merge-in-power-bi-and-power-query