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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.
Reference: https://cloud.google.com/certification/lookml-developer?skip_cache=true
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Examine Google LookML Developer Exam Topics
- Design robust models
- Understand various datasets and associated schemas
- Define caching policies
- Maintain and debug LookML code
- Use Looker tools such as Looker IDE, SQL Runner, & LookML Validator
- Build user-friendly Explores
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Google LookML-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Customization | 25% | - Build and configure Explores
- Design dimensions and measures
|
| Topic 2: Optimization | 25% | - Optimize query and report performance
- Implement PDTs and caching policies
|
| Topic 3: Quality & Governance | 20% | - Assess and improve LookML code quality
- Version control and deployment workflow
- Validate data using SQL Runner
|
| Topic 4: Model Management | 30% | - Create LookML objects from requirements
- Troubleshoot errors in existing data models
- Maintain LookML project health
- Implement data security requirements
|