Users report that every time they change the filter on their Explore, the filters take a very long time to populate.
How can the developer improve the filtering experience with this Explore?
Only users with department attributes of Finance and Executive should be able to access the revenue view. Only users with the value ofExecutive for the department user attribute should be able to view the total_revenue field.
Given the code snippet below:
How should the required access grants be structured to set up this system of access?
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 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.)
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A developer needs to implement three persistent derived tables (PDTs) as described below.
The PDTs need to be refreshed after the daily ETL pipeline adds incremental loads to the underlying tables.
Each PDT is built off of one underlying table in the database (one PDT per table).
The underlying tables for each PDT are updated one after the other, and a new row is added to an ETL log table each time a table is updated.
Due to the unpredictable nature of the ETL pipeline, each PDT does not refresh at the same time from day to day.
Each PDT takes over an hour to build, and to save on compute costs each PDT should only be refreshed once per day.
How can the developer set up the PDTs according to these requirements?
A LookML developer creates an Explore that joins two views. The base view has information about users’interactions with the support team. The joined view contains data about the users. The support team using this Explore feels overwhelmed by the amount of data this Explore shows them and decides to just look at open tickets.
What should the developer add to the Explore in the model to achieve these requirements?
A LookML developer has a transactions view with several measures that each perform complex calculations involving multiple fields. The LookML developer creates an Explore based onthe transactions view. The product team wants to perform further functions on these measures, such as SUM, AVG, MIN, MAX, and RANK. The team wants these further functions to be performed at different levels of detail: weekly, monthly, and yearly.
How can the LookML developer model these requirements and minimize the amount of code rewriting?
A LookML Developer is working with denormalized tables and needs to create a measure adding up the Order Shipping column in the tablebelow:
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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 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?