Get Ready to Boost your Prepare for your Looker-Business-Analyst Exam with 40 Questions [Q20-Q40]

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Get Ready to Boost your Prepare for your Looker-Business-Analyst Exam with 40 Questions

Use Free Looker-Business-Analyst Exam Questions that Stimulates Actual EXAM

NEW QUESTION 20
An analyst wants to schedule a dashboard in a way that makes it easier for viewing on a mobile device or for viewing a printout of the dashboard.
How can the analyst set up a schedule to accomplish this?

Check Use single column layout in the Advanced options section of the scheduler.

Check Expand tables in the Advanced options section of the scheduler.

Select the paper size Tabloid with orientation Landscape in the Advanced options section of the scheduler.

Select Run schedule as recipient in the Advanced options section of the scheduler, and edit the recipient’s user attribute preferences to be individual_images.

NEW QUESTION 21
An analyst needs to filter the sum of the sales between 12 complete months ago to the last 9 complete months ago.
How can the analyst create this filter condition?

Custom filter “is in the past” 12 months AND “is before” “relative” 9 months ago

Sales Closing Date “matches advanced” “12 months ago for 3 months”

Sales Closing Date “is in the past” 12 months OR “is before” “relative” 9 months ago

Sales Closing Date “matches advanced” “between 12 months ago and 9 months ago”

NEW QUESTION 22
A company has an operational dashboard that needs to display the latest data every 5 minutes on a monitor.
How should the analyst configure the dashboard?

Set the dashboard schedule to run every 5 minutes.

Set the dashboard auto refresh to 5 minutes.

Set the dashboard to run on load every 5 minutes.

Set the dashboard schedule to 5 minutes and “send if the results have changed”.

NEW QUESTION 23
An analyst needs to analyze the ecommerce quarter-over-quarter order growth. Two fields are given: Order Created Quarter and Order Count.
Which table calculation function should the analyst use to calculate the quarter-over-quarter order growth?

pivot_offset()

lookup()

offset_list()

offset()

NEW QUESTION 24
An analyst pins a dashboard from a personal folder to the team board. Other colleagues report that they cannot access the dashboard. There are a few dashboards in the personal folder that are not ready to share yet.
What should the analyst do to enable the team’s access?

Give all users view access to the personal folder.

Move the dashboard to a shared folder and provide access only to the users from the team.

Give view access to the individual dashboards.

Create a subfolder in the personal folder and given view access to the users from the team.

NEW QUESTION 25
An analyst has an Explore query that shows the sum of spend over time. The Explore query has the Sum of Spend measure pivoted by a Category of Spend dimension. The Category of Spend dimension has a value for Budgeted Spend and then categories for each type of unbudgeted spend.
Which visualization feature should the analyst use to separate budgeted spend visually from each category of unbudgeted spend?

Display row totals for each category.

Series type customization on budgeted spend.

Grouped series positioning on budgeted spend.

Transpose table to separate out budgeted spend.

NEW QUESTION 26
Two users report seeing different results on the same dashboard.
Which three configurations could explain these discrepancies? (Choose three.)

The time zone setting is different for each user.

Looker caching is affecting results.

The dashboard uses separate Explores for each user.

Dashboard filters are being used

The dashboard was accessed via different boards.

NEW QUESTION 27
Two weeks into the third quarter, an analyst needs to determine the total order count per month for only the first two quarters.
How should the analyst filter the query?

Created Month “is in the first 2 quarters”

Created Month “is in the past 2 complete quarters”

Created Month “is in the past 2 quarters”

Created Month “is in the last 6 months”

NEW QUESTION 28
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?

There is a row limit applied.

There is a filter on a dimension.

There is a problem with the underlying LookML.

There is a column limit applied.

NEW QUESTION 29
An analyst for a movie producer is making an Explore query to show total box office revenue by movie. The initial query has three dimensions:
Ticket Purchase Month
Movie Name
Ticket Revenue
The analyst notices that the numbers look a lot smaller than expected and the results are difficult to understand.
What should the analyst do to make the Explore query show the desired metric?

Remove the Month dimension and the Ticket Revenue dimension from the query. Add the Sum Revenue measure.

Remove the Ticket Revenue dimension from the query. Add the Sum Revenue measure.

Add the Sum Revenue measure to the query.

Add a table calculation that sums the Ticket Revenue dimension.

NEW QUESTION 30
The query below shows how many uses purchased an item from each of two clothing departments.

Why are the total and sum of the rows unequal?

There is a filter limiting the count in the Total row.

There is a faulty logic in the way users relate to clothing departments.

A user is only counted once in the total even if the user has purchased from both departments.

There are users who have never purchased a clothing item from either department.

NEW QUESTION 31
An analyst has created a dashboard that needs to be integrated into the company’s internal support portal. The dashboard should match the style of the support portal.
How should the analyst display the dashboard in the style of the support portal without changing the style of the tiles in Looker?

Copy the dashboard.

Edit embed settings.

Apply a table theme.

Edit HTML on the dashboard.

NEW QUESTION 32
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?

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

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

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

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

NEW QUESTION 33
An analyst has a dashboard with table visualizations that display the first few results, and the user can scroll down to see the remaining results. The analyst wants to download a PDF of the dashboard.
How should the analyst ensure that the PDF shows all available results in the UI dashboard?

Select the Expand Tables option.

Select the All Results option

Select the Allow Scroll option and specify each table.

Select the Paper Size option and specify a large size.

NEW QUESTION 34
An analyst needs to select all users in the query results but only wants to visualize results for users that have more than 100 orders.
Which visualization option should the analyst utilize?

Right-click to hide unwanted rows.

Limit displayed rows.

Use a custom filter.

Hide rows with table calculations.

NEW QUESTION 35
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?

Pivot the Explore by the Brand Name dimension.

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.

Pivot the Explore by brand Rank.

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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