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Looker Business AnalystExam

Last Update 20 hours ago
Total Questions : 40

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Question # 1

An analyst works on the data team at an organization that maintains multiple similar Explores. The analyst has access to see every Explore, but knows that employees in the finance department only have access to explores tagged Finance.

There is an Employee Compensation Data Finance Explore that the finance department has access to. The analyst usually uses an All Employee Data Explore that also includes personally identifiable information.

What should the analyst do to ensure proper access if the analyst wants to send an example visualization to the finance team?

Options:

A.  

Create Merged Results with the Employee Compensation Data Finance Explore and the All Employee Data Explore, and send the URL of the Merged Results.

B.  

Use the Employee Compensation Data Finance Explore and send the URL of the Explore to the finance team.

C.  

Use the All Employee Data Explore, but use Looker’s built-in Send functionality to email the visualization.

D.  

Use the All Employee Data Explore, add a filter to exclude personally identifiable information, and send the URL of the Explore to the finance team.

Discussion 0
Question # 2

An analyst is trying to rank companies in an Explore and visualize the rank as a column chart. The analyst selects the Brand Name dimension and the Rank dimension. They then select the column chart visualization type, but receive the error “Measure, time or numeric field required: Column graphs require at least one dimension or for the first dimension field to be of type: number or type: time”.

How can the analyst resolve this error while showing the rank as a column visualization?

Options:

A.  

Pivot the Explore by the Brand Name dimension.

B.  

Select a measure to include in the Explore, then create a table calculation that multiplies the dimension by 1.0 using the syntax ${dimension}*1.0. Then hide the measure from the Explore.

C.  

Pivot the Explore by brand Rank.

D.  

Select a measure to include in the Explore, then create a table calculation that adds the Rank dimension to the measure multiplied by zero using the syntax ${dimension} + (${measure}*0). Then hide the measure from the Explore.

Discussion 0
Question # 3

An analyst has a dashboard with a single filter on Created Date “is in the past year”, but a tile on the dashboard is returning results for only the past 7 days. When the analyst selects “Explore from Here” on the tile, there are filters on both Created Date “is in the past year” and Created Time “is in the past 7 days”.

How should the analyst make sure that only the filter set on the dashboard is applied to the tile?

Options:

A.  

After selecting Explore from Here on the tile, remove the filter on Created Time and hit Save.

B.  

After selecting Edit on the tile, add a filter on Created Date and hit Save.

C.  

Edit the dashboard Created Date filter to update the tile’s Created Time field under Tiles to Update.

D.  

Edit the dashboard Created Date filter to update the tile’s Created Time filter under Filters to Update.

Discussion 0
Question # 4

A company has a Customer Lookup dashboard that can be filtered on a unique customer name. Business users sometimes report unexpected data when they use filters with starts with or contains for the customer name.

How should the analyst ensure that the filter is unique to one customer?

Options:

A.  

Change the filter type to string.

B.  

Enable the setting Limit one filter value.

C.  

Use the Matches Advanced filtering option.

D.  

Disable the setting Allow multiple filter values.

Discussion 0
Question # 5

An analyst adds a Day dimension and a Signup Count measure to an Explore to show the number of new users added per day. The analyst wants to add a metric that increases by the number of new users per day, on a rolling basis.

How should that metric be calculated?

Options:

A.  

Add a Sum measure to the Explore and re-run the query.

B.  

Add a table calculation that calls running_portal (${users.signup_count})

C.  

Add a custom measure of type: running_total

D.  

Add a table calculation that calls ${users.signup_count:total}

Discussion 0
Question # 6

A business analyst is using the Totals check box in an Explore to get the sum of a column of values. The number that appears in the Total row is much higher than the analyst expects, and this number is not the sum of the values in the column.

What is a possible cause of this discrepancy?

Options:

A.  

There is a row limit applied.

B.  

There is a filter on a dimension.

C.  

There is a problem with the underlying LookML.

D.  

There is a column limit applied.

Discussion 0
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