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What is the format of the Google LookML Developer Exam
- Languages: English
- Time Duration: 100 minutes
- Passing score: 60 percent
- Exam Format: Multiple Choice
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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.
Reference: https://cloud.google.com/certification/lookml-developer?skip_cache=true
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Google LookML Developer Exam: Everything You Need to Know
Resourceful Tips to Pass the Google LookML Developer Exam
Getting Into The Google LookML Developer Exam: Study Guide on how to prepare for the exam and what you should expect
Google LookML is a new SQL-based language for defining the data structure of cloud services. It allows specifying which data is processed and how, and then automatically generates the corresponding foreign function interface (FFI) for deployment in both private and public clouds. The introduction of Google LookML Developer Certification ensures that all developers working on Google Cloud Platform services are familiar with the language. Google LookML Developer Dumps will help you pass your GCP exam easily.
Been looking for an opportunity to stay ahead of the curve in big data and machine learning technologies? Well, like every other technology giant out there, Google is also falling in line with an announcement of a new certification program the Google LookML Developer Exam.
Google LookML-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Optimization | 25% | - Implement PDTs and caching policies - Optimize query and report performance |
| Quality & Governance | 20% | - Assess and improve LookML code quality - Version control and deployment workflow - Validate data using SQL Runner |
| Customization | 25% | - Build and configure Explores - Design dimensions and measures |
| Model Management | 30% | - Implement data security requirements - Create LookML objects from requirements - Troubleshoot errors in existing data models - Maintain LookML project health |




