How much is the cost of the Google LookML Developer Exam
The cost of the Google LookML Developer Exam is 250 USD.
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Google LookML-Developer (Looker LookML Developer) Certification Exam is a comprehensive assessment designed to test one's proficiency and knowledge in using Looker's LookML language for developing data models and analyzing data. Looker is a popular business intelligence and analytics platform used by many organizations across the globe. LookML is a powerful language used to define data models in Looker, enabling data analysts to explore and understand complex data sets easily. Looker LookML Developer certification exam is aimed at individuals who want to demonstrate their expertise in LookML language and gain recognition as a Looker developer.
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Google LookML-Developer: Looker LookML Developer certification exam is designed for individuals who are interested in working with Looker data modeling language (LookML). Looker is a business intelligence and data analytics platform that allows users to analyze and visualize data from different sources. It’s a powerful tool for businesses to make data-driven decisions.
Google LookML-Developer (Looker LookML Developer) Certification Exam is designed for professionals who are looking to validate their skills and expertise in Looker's LookML language. Looker is a business intelligence and analytics platform that allows organizations to access, analyze, and explore their data in a user-friendly way. The LookML language is Looker's proprietary modeling language that allows developers and analysts to define data models, create visualizations, and build custom dashboards.
Reference: https://cloud.google.com/certification/lookml-developer?skip_cache=true
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Google LookML-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Customization | 25% | - Build and configure Explores - Design dimensions and measures |
| Model Management | 30% | - Maintain LookML project health - Troubleshoot errors in existing data models - Create LookML objects from requirements - Implement data security requirements |
| Quality & Governance | 20% | - Version control and deployment workflow - Assess and improve LookML code quality - Validate data using SQL Runner |
| Optimization | 25% | - Implement PDTs and caching policies - Optimize query and report performance |








