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Google LookML-Developer (Looker LookML Developer) Exam is a certification exam that measures an individual's knowledge and expertise in developing and maintaining LookML code, which is the language used to define data models in Looker. LookML-Developer exam is designed for Looker developers who are involved in creating and maintaining Looker models, exploring data, and building dashboards and reports. Passing LookML-Developer exam demonstrates an individual's proficiency in Looker and LookML and validates their skills to employers and clients.

Google LookML-Developer (Looker LookML Developer) Certification Exam is a valuable credential for individuals who are seeking to enhance their career in business intelligence and data analytics. Looker LookML Developer certification demonstrates that an individual has the skills and knowledge required to design and maintain data models using LookML. Looker LookML Developer certification also validates an individual's knowledge of Looker and its features, which can be beneficial in a variety of industries such as finance, healthcare, and retail.

Reference: https://cloud.google.com/certification/lookml-developer?skip_cache=true

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Obtaining the Google LookML-Developer: Looker LookML Developer certification is an excellent way for developers to demonstrate their skills and expertise in LookML development. Looker LookML Developer certification program is recognized globally, and it is an excellent addition to a developer's portfolio. Moreover, the certification program helps developers enhance their career prospects by providing them with a competitive edge in the job market.

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Google LookML-Developer Exam Syllabus Topics:

SectionObjectives
Data Modeling- Relationships and joins
  • 1. Join types and join logic
    • 2. Fanouts and symmetric aggregates
      - Data transformation
      • 1. SQL integration in LookML
        • 2. Table calculations vs LookML fields
          Explores and User Experience- Content delivery
          • 1. Filters and parameters
            • 2. Dashboards and Looks
              - Explore design
              • 1. Field selection and refinement
                • 2. Optimizing explore usability
                  Security and Governance- Data governance
                  • 1. Field-level security
                    • 2. Content validation and consistency
                      - Access control
                      • 1. Permission sets and roles
                        • 2. User attributes and access filters
                          Development Workflow- Version control
                          • 1. Branching and deployment workflows
                            • 2. Git integration in Looker
                              - Testing and validation
                              • 1. LookML validation tools
                                • 2. Debugging LookML errors
                                  LookML Fundamentals- LookML project structure and components
                                  • 1. Views, models, and explores
                                    • 2. Project configuration and files
                                      - Basic LookML syntax
                                      • 1. Dimensions and measures
                                        • 2. Derived tables and parameters

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