How to register for Google LookML Developer Exam
- You'll be taken to a new page where you can see which certifications are available to you, including the LookML Developer Certification.
- Click View details and then click Enroll for each certification that interests you.
- Go to Google Cloud Console and log in with your Google Account.
- If you don't have a Google Account, you can create one there. Click Create and then choose “Google Cloud Platform certifications.” Click Complete registration at the bottom of the page.
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Salary & Growth Opportunities with Google LookML Developer Exam
The average salary of different countries of a Google LookML Developer professional are given below:
- United States - $116,842 USD
- UK - 86348Pounds
- India - 8706370 INR
The Role of Google LookML Developer Exam in the IT industry
The Google LookML Developer exam (hereinafter referred to as the “LookML certification”) is a certification offered by Google for its developers. This certification is aimed at people who want to demonstrate their expertise in designing data models and data schemas for the applications built utilizing Google technologies. The exam is intended to test the candidate's proficiency with the concepts of Data modeling and the knowledge of LookML, a schema language used by Google. To get this certification, a candidate has to prove his skill in building up an application that uses data modeling. The certification also tests his capacity to generate a LookML schema, which is basically a data model and database schema at the same time. Since LookML is basically a schema language, it also tests how well he knows how to use the syntax of this language. The role of this exam in the IT industry is immense, as there are hardly any enterprises that do not use Google products or services. This implies that each company should have some employees who are certified in the usage of these products or services.
Reference: https://cloud.google.com/certification/lookml-developer?skip_cache=true
Google LookML-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model Management | 30% | - Maintain LookML project health - Implement data security requirements - Create LookML objects from requirements - Troubleshoot errors in existing data models |
| Quality & Governance | 20% | - Assess and improve LookML code quality - Version control and deployment workflow - Validate data using SQL Runner |
| Optimization | 25% | - Optimize query and report performance - Implement PDTs and caching policies |
| Customization | 25% | - Build and configure Explores - Design dimensions and measures |






