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Looker LookML Developer

A Looker LookML Developer works with datasets and LookML and is familiar with SQL and BI tools. LookML Developers are proficient in model management, including troubleshooting existing model errors, implementing data security requirements, creating LookML objects, and maintaining LookML project health. LookML Developers design new LookML dimensions and measures and build Explores for users to answer business questions. LookML developers are skilled at quality management, from implementing version control to assessing code quality to utilizing SQL runner for data validation.
The Looker LookML Developer exam assesses your ability to:Maintain and debug LookML codeBuild user-friendly ExploresDesign robust modelsDefine caching policiesUnderstand various datasets and associated schemasUse Looker tools such as Looker IDE, SQL Runner, & LookML Validator

About this certification exam

Length: 100 minutesRegistration fee: $250Language: EnglishExam format: Multiple choice and multiple select taken remotely or in person at a test center. Locate a test center near you.Prerequisites: NoneRecommended experience: Business analysts with 5+ months of experience using Looker for report development, data visualization, and dashboard best practices.

Share Looker LookML Developer Exam Sample Questions

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 the master branch, with both users writing to the branchB.In one user’s personal branch, with both users writing to the branchC.In a new shared branch created from the master branchD.In each of their personal branches, with each user writing code separatelyAnswer : C
A developer is defining the users table within a view file in Looker. The users 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 the other 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.Answer : A
A user reports that, when a date dimension is filtered to ”before now” results are returned that consistently include tomorrow. Dimension fill has been ruled out as a cause of the issue.Which LookML parameter should be used to resolve this issue?A.Week_start_dayB.Convert_tzC.DatatypeD.Fiscal_month_offsetAnswer : D
Adeveloper is connecting a LookML project to a remote Git repository. The developer wants to track which users are committing code changes, creating pull requests, or deploying to production when the different Git commands are initiated from within Looker.Which type of Git connection should be utilized to meet this business requirement?A.A bare Git repositoryB.Multiple account HTTPSC.Single account HTTPSD.SSHAnswer:D
A user reports an errormessage on an Explore: “Non-unique value/primary key (or sql_distinct_key), value overflow or collision when computing sum”.What should the LookML developer check for in the joined views of the Explore?A.The sum measure used is defined correctly.B.A unique primary key is defined in each view.C.Symmetric_aggregates: no is not present in the Explore definition.D.No concatenated primary keys are used.Answer:C