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Google LookML-Developer Exam Overview:

Google LookML-Developer Exam Syllabus Topics:

FAQs for Google Looker LookML Developer Candidates

Google Looker LookML Developer Sample Questions:

Question 1

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.)

A. Add a description parameter to each field with context so that users can search key terms.
B. Create a separate project for each business unit containing only the fields that the unit needs.
C. Use the hidden parameter to remove irrelevant fields from the Explore.
D. Use a derived table to show only the relevant fields.
E. Add a group_label parameter to relevant fields to organize them into logical categories.

Question 2

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 is based.
What should the developer build to meet the business requirement?

A. A link to the dashboard included in the project.
B. A native derived table based on the dashboard.
C. An Explore LookML file based on the dashboard.
D. A dashboard LookML file included in the project.

Question 3

A user is seeing an error in the Explore that indicates the primary key defined for a one-million-row table is not unique.
How can the developer use SQL Runner to troubleshoot quickly?

A. Create a query that selects the primary key from the base view, and look for duplicates.
B. Create a query that counts how many occurrences of the primary key value are in the base view, and sort by count.
C. Create a query that concatenates two columns to create a compound primary key.
D. Create a query that selects all the fields from the table, and sort by primary key.

Question 4

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. Create three separate datagroups tied to three PDTs that run when each corresponding table's row count changes.
B. Create one datagroup tied to all three PDTs that runs when the total row count across all three tables changes.
C. Create one datagroup tied to all three PDTs that parameterizes the view name for each PDT in the SQL trigger condition.
D. Create three separate datagroups tied to three PDTs that run when a new row is added to the ETL log table.

Question 5

Two developers are working on adding a new view to a project. Once both developers have finished their work in the view, the changes will be pushed to production.
Where should the developers write the LookML for this view?

A. In each of their personal branches, with each user writing code separately
B. In the master branch, with both users writing to the branch
C. In a new shared branch created from the master branch
D. In one user's personal branch, with both users writing to the branch

Solutions: