Looker LookML Developer Exam
Last Update 11 hours ago
Total Questions : 50
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Business users report that they are unable to build useful queries because the list of fields in the Explore is too long to find what they need.
Which three LookML options should a developer use to curate the business user’s experience? (Choose three.)
After running the LookML Validator, a developer sees the following error message in the Looker development environment:
“Measures with Looker aggregations (sum, average, min, max, list types) may not reference other measures”.
What could be causing this error?
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?
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 I
D.
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)
A developer has created a persistent derived table that tracks new or updated orders and they want to cache the results. The cache should be refreshed whenever some new order isavailable on the underlying datasource table my tablename or at least every 24 hours.
Which datagroup definition will refresh the cache as expected?
A)
B)
C)
D)
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 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?
TESTED 25 Apr 2024
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