Practice Exam
Google Looker

Google Looker

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Google Looker

 

The Google Looker exam assesses individuals' proficiency in utilizing the Looker platform for data visualization, business intelligence, and analytics. Looker, now part of Google Cloud, provides data exploration, visualization, and analytics capabilities to help organizations make data-driven decisions. This exam evaluates candidates' ability to design and build data models, create reports and dashboards, and analyze data insights using Looker's features and functionalities.

 

Who should take the exam?

  • Data Analysts: Data analysts and business analysts interested in enhancing their skills in data visualization, analytics, and business intelligence using Looker for analyzing and interpreting data.
  • Data Engineers: Data engineers and data architects responsible for designing and building data models, pipelines, and architectures using Looker for data visualization and analytics.
  • Business Intelligence Professionals: Business intelligence professionals and BI developers looking to leverage Looker's features and functionalities for creating interactive reports, dashboards, and data visualizations.
  • Data Scientists: Data scientists and analytics professionals interested in using Looker as a tool for exploratory data analysis, hypothesis testing, and model evaluation to derive actionable insights from data.
  • Decision Makers: Executives, managers, and decision-makers seeking to understand and utilize Looker's capabilities for accessing, analyzing, and visualizing data to drive strategic decision-making and business outcomes.

 

Course Outline

The Google Looker exam covers the following topics :-

 

  • Module 1: Introduction to Looker
  • Module 2: Understanding Looker Data Modeling
  • Module 3: Understanding Looker Query Building
  • Module 4: Understanding Looker Reports and Dashboards
  • Module 5: Understanding Data Visualization in Looker
  • Module 6: Understanding Advanced Analytics in Looker
  • Module 7: Understanding Looker Administration and Security
  • Module 8: Understanding Looker Integration and Collaboration
  • Module 9: Understanding Looker Best Practices and Optimization
  • Module 10: Understanding Real-World Use Cases and Case Studies

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Google Looker FAQs

Yes. Scenario tasks test your ability to write LookML, create dashboards, configure permissions, and optimise performance.

Certification remains valid for three years. Renewal requires passing a brief refresher assessment.

A Looker development environment, access to a database or sample data source, and a Git client.

A minimum score of 70% overall is required to earn the certification.

Yes. You may retake it after a 14‑day waiting period.

Data analysts, BI developers, analytics engineers, and anyone building or managing Looker applications.

Basic familiarity with BI tools and SQL helps, but the exam covers both foundational and advanced Looker topics.

Practice by modeling sample data in LookML, build explores and dashboards, use Git integration, and review Looker documentation.

The exam includes 60 multiple‑choice questions and 5 scenario‑based tasks. You have 90 minutes to complete it.

It validates your expertise in self‑service analytics and Looker development, enhancing credibility in data‑driven roles.