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Vendor: Google
Exam Code: LOOKER-BUSINESS-ANALYST
Exam Name: Looker Business Analyst
Certification: Google Certifications
Total Questions: 40 Q&A
Updated on: Dec 30, 2024
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A global dashboard filter and the filter on a tile within that dashboard conflict because the global dashboard filter and the individual tile filter are based on the same field with different filter values.
What happens in this situation?
A. The filter values of both filters will combine in an additive manner and both filters will apply.
B. The individual tile's filter will override the global dashboard filter.
C. The global dashboard filter will override the individual tile filter.
D. The dashboard will break and warn the user that there are conflicting filter values.
A business analyst is creating an Explore that shows the number of hotel rooms booked per week, by room type. The analyst is using a Week dimension and a Count measure, and is provisioning on a Room Type dimension. Looking at the results, the Count of King rooms seems unusually low one week.
What should the analyst do to further investigate the low numbers?
A. Run the Explore again to make sure the results are the same.
B. Click on the Count measure where it is low to drill in to it.
C. Click on the Room Type dimension where it is King to drill in to it.
D. Remove the pivot on the Room Type dimension and re-run the Explore.
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?
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.
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