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A developer is defining the users table within a view file in Looker. Theusers table will be available as an individual Explore and it will also be joined into other Explores, such as the products Explore. The developer needs to limit the fields visible in the products Explore without affecting the visibility of the fields in the users Explore.

How should the developer meet this requirement?

A.

Use the fields parameter at the join level for the products Explore to specify which fields should be included and leave the users Explore as is.

B.

Create duplicate dimensions and measures, one for the users Explore and one for the products Explore, and use the hidden parameter to modify the visibility of the fields.

C.

Create two view files for the users table. One view file will have all possible fields for the users Explore, and theother will have only the fields required for the products Explore.

D.

Use the hidden parameter in the users view file for the fields that should not come over to the products Explore and leave the users Explore as is.

A developer wants tocreate a measure that shows the item count broken out by category. When a second, more granular dimension is added to the same query, the count broken out by category should still represent the original aggregation and be duplicated on each line. The business wants this “count” in “category” available in the Explore section without any additional work done by the end user. For example:

The Count column represents the count for each combination of Category and Item.

The Count in Category column represents the count for each Category only.

How can the developer address this need with a LookML object?

A.

Create a measure filtered on Category, and make the filter value controlled by a parameter.

B.

Calculate the measure using a derived table, and then join that derived table back into the Explore.

C.

Create a measure with type: sum_over_dimension, and make the dimension value controlled by a parameter.

D.

Calculate the overall count using table calculations in the Explore.

A LookML developer finishes some LookML work and commits changes in their personal development branch. The developer is asked to Pull and Merge Other Changes.

What does this indicate?

A.

A changehas been deployed to a shared branch.

B.

A change has been committed in another developer’s personal branch

C.

A change has been committed in another shared branch.

D.

A change has been deployed to production.

A developer has the dimensions enrollment_month and graduation_month already defined in the view. Both were created as part of dimension_groups of type: time. The developer need touse these two dimensions in the sql_start and sql_end parameters of a dimension group of type: duration.

Which LookML should be used to calculate the number of month and years between enrollment month and graduation month?

A)

B)

C)

D)

A.

Option A

B.

Option B

C.

Option C

D.

Option D

A user reports the following SQL error when selecting the discounted sale price field:

ERROR: column “order_items.sale_price”; must appear in the GROUP BY clause or be used in an aggregate function.

The developer checks the field definition and finds it to be:

measure: discounted_sale_price {

type: number

sql: ${sale_price} * 0.8 ;;

}

The developer also finds the LookML definition of the sale_price field to be:

dimension: sale_price {

type: number

sql: ${TABLE}.sale_price ;;

}

What isthe likely cause of the SQL error?

A.

The discounted_sale_price field should have a group_by: yes parameter.

B.

The sale_price field should be defined as a measure of type: number, not as a dimension.

C.

The underlying database table does not have a fieldcalled sale_price.

D.

The discounted_sale_price field should be defined as a dimension of type: number, not as a measure.

Users viewing an Explore should be able to view rows of data only where the value of the product.brand column matches the value of the user’s company user attribute.

Which access filter should the developer use to meet this requirement?

A)

B)

C)

D)

A.

Option A

B.

Option B

C.

Option C

D.

Option D

A developer has a persistent derived table view called user_facts that contains aggregated data for each user. The developer needs to query the data from this table in another derived table view called user_region_facts.

Which strategy should the developer use to write the query for user_region_facts that will leverage the existing derived table?

A.

Use ${user_facts.SQL_TABLE_NAME} to reference the user_facts derived table.

B.

Copy the name of the database table inthe scratch schema for the user_facts derived table.

C.

Writhe the query form user_facts into a common table expression (WITH user_facts AS...).

D.

Write a subquery in the FROM clause and alias with ${user_facts}.

A developer wants to calculate the ratio of total sales from the orders view and total users from the users view.

Which two methods can be used to create ameasure that meets these requirements? (Choose two.)

A)

B)

C)

D)

E)

A.

Option A

B.

Option B

C.

Option C

D.

Option D

E.

Option E

Users have built a popular dashboard and want to have change management built in for any edits made to the dashboard. The developer sets up version control for the model on which the dashboard isbased.

What should the developer build to meet the business requirement?

A.

A native derived table based on the dashboard.

B.

A dashboard LookML file included in the project.

C.

A link to the dashboard included in the project.

D.

An Explore LookML file based on the dashboard.

Users report that the main dashboard has been slow toshow results.

Which two options should the developer evaluate to improve dashboard performance? (Choose two.)

A.

Number of databases used by dashboard elements

B.

Number of queries used by the dashboard

C.

Ratio of visualizations to text tiles

D.

Format used to deliver these reports

E.

Amount of data rendered for each query