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A LookML Developer is working with denormalized tables and needs to create a measure adding up the Order Shipping column in the table below:
A)
B)
C)
D)
A LookML developer is creating a new view with 20 dimensions in Development Mode using the Create View from Table functionality. Now users want the developer to add only four dimensions from this new view to an existing Explore.
What can the developer add to the Explore to limit the number of fields from the view that are accessible to the user in the Explore?
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?
Only users with department attributes of Finance and Executive should be able to access the revenue view. Only users with the value of Executive 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 building an e-commerce Explore with the following datasets: orders and users. The business user needs to be able to answer questions about sellers and buyers within the same Explore. Each order in the orders table reports a buyer and seller ID. The users table has the detailed information about the individual buyer and seller.
How should the Explore be defined to meet this requirement?
A)
B)
C)
D)
