Google Cloud Professional Data Analytics (Looker) Practice Test

144 questions available

Build your confidence for Google Cloud Professional Data Analytics (Looker). Practice the concepts, understand the answers, and strengthen your knowledge one question at a time.

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Certification exam
Professional Level
Your practice
144 Practice questions
2 hours 24 minutes Practice Time
Try 5 free questions
No account needed. A free account includes 20 questions for this exam.
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Exam overview and details

The Google Cloud Professional Data Analytics Looker certification validates advanced expertise in leveraging Looker as a unified business intelligence, data applications, and embedded analytics platform. This professional credential demonstrates comprehensive proficiency in administering Looker environments, building interactive visualizations and dashboards, exploring and sharing data insights, integrating Looker with modern data pipelines, and constructing robust data models using LookML. Certified professionals are recognized for their ability to transform raw data into actionable business intelligence, enabling data-driven decision-making across organizations. The certification signifies mastery of the full Looker platform lifecycle-from data modeling and governance to deployment and consumption-making holders highly valuable assets in roles focused on analytics engineering, business intelligence architecture, and data platform management. Achieving this certification positions you at the forefront of modern cloud analytics, showcasing skills that are critical for implementing scalable, governed, and user-friendly analytics solutions.

Sample Questions

Choose an answer and explore the explanation to see how practice works.

Looker Explores, Dashboards and Visualizations

A public-sector reporting office is preparing for a governed analytics release using Looker Studio Pro. During validation, users drilling from revenue need order id, customer, and refund status. The team also has audit pressure, mixed technical and business users, and a requirement to avoid one-off dashboard fixes. Which response best addresses the drill menus issue?

Looker Explores, Dashboards and Visualizations

A public-sector reporting office is preparing for a governed analytics release using Looker Studio Pro. During validation, a native derived table should honor a dashboard date filter. The team also has audit pressure, mixed technical and business users, and a requirement to avoid one-off dashboard fixes. Which response best addresses the templated filters in dashboards issue?

LookML Data Modeling

A regional bank is preparing for a governed analytics release using Looker 24.x. During validation, a selected metric parameter should change the field label users see. The team also has audit pressure, mixed technical and business users, and a requirement to avoid one-off dashboard fixes. Which response best addresses the label_from_parameter issue?

Looker Explores, Dashboards and Visualizations

A media publisher is preparing for a governed analytics release using a BigQuery-backed Looker deployment. During validation, dashboards must be version reviewed with the model. The team also has audit pressure, mixed technical and business users, and a requirement to avoid one-off dashboard fixes. Which response best addresses the LookML dashboards issue?

LookML Data Modeling

A regional bank is preparing for a governed analytics release using Looker 24.x. During validation, a view works in sales.model but validation says it is missing in inventory.model. The team also has audit pressure, mixed technical and business users, and a requirement to avoid one-off dashboard fixes. Which response best addresses the model include paths issue?

Career Opportunities & Salary

Median salary: $139,500– Database Architects

Source: BLS Occupational Employment and Wage Statistics, May 2025 -- Database Architects (SOC 15-1243), US national. Occupation median, not a certification salary. (2025)

Database Architects

Exam insights and study advice

This certification matters because it provides industry-recognized validation of high-demand skills in a leading cloud-native BI platform. In today's data-centric economy, organizations prioritize professionals who can bridge the gap between complex data infrastructure and business stakeholders. Earning this credential signals to employers your capability to design, deploy, and manage enterprise-grade analytics solutions that drive efficiency and insight. It directly enhances career advancement opportunities for roles such as Analytics Engineer, BI Developer, Data Analyst, and Data Platform Manager, often commanding premium compensation. Furthermore, as part of the Google Cloud certification portfolio, it aligns your expertise with one of the major cloud providers, significantly boosting your professional credibility and marketability in a competitive field.

What this exam covers

Use the published domain weights to plan your study. Practice results do not predict your certification exam score.

01LookML Data Modeling

20%

02Looker Explores, Dashboards and Visualizations

18%

03Looker Permissions, Embedding and Administration

15%

04Looker Studio, BigQuery Integration and Performance

15%

Exam Details PCDA-LOOKER

Exam Code PCDA-LOOKER
Vendor Google Cloud

Frequently Asked Questions

What are the primary job roles targeted by this certification?

How much hands-on experience with Looker is recommended before attempting the exam?

How does LookML expertise factor into this certification?

What is the exam format, and how is it delivered?

Does the certification cover embedded analytics and the Looker SDK?