Google Associate Cloud Data Practitioner Exam Questions 2025
- We are offering 510 latest Google Associate Cloud Data Practitioner Exam Questions 2025 for practice, which will help you to score higher in your exam.
- Aim for above 85% or above in our mock exams before giving the main exam.Â
- Do review the wrong & right answers and thoroughly go through the explanations provided to each question which will help you understand the question.
- Master Cheat Sheet was prepared by instructors which contain personal notes of them for all exam objectives. Carefully written to help you all understand the topics easily.
- It is recommended to use the Master Cheat Sheet just before 2-3 days of the main exam to cram the important notes.
- Weekly updates: We have a dedicated team updating our question bank on a regular basis, based on the feedback of students on what appeared on the actual exam, as well as through external benchmarking.
The Google Cloud Associate Cloud Data Practitioner certification is a foundational-level credential designed for individuals who want to build a solid understanding of cloud-based data concepts and Google Cloud services. It validates your knowledge of data structures, analytics, visualization, and cloud-native data tools.
Key Details:
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Certification Name: Associate Cloud Data Practitioner
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Level: Foundational / Entry-level
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Duration: 90 minutes
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Question Format: Multiple choice and multiple select
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Delivery Method: Remote proctored or in-person at a test center
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Available Languages: English
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Prerequisites: None (no prior experience required)
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Exam Fee: $125 USD
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Certification Validity: 3 years
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Registration: Via Webassessor (https://www.webassessor.com/)
What the Exam Covers (Domains and Topics)
This exam tests your knowledge across five core areas:
1. Core Data Concepts
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Understanding the difference between structured and unstructured data
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Knowing when to use batch vs streaming data
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Familiarity with machine learning and AI basics
2. Google Cloud Data Tools and Services
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Working with BigQuery for analytics
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Using Cloud Storage for data management
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Messaging and ingestion via Pub/Sub
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Introduction to Dataflow and Dataproc for data processing
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Exploring Looker and Looker Studio for reporting and dashboards
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Basic use of Cloud SQL and Cloud Spanner for databases
3. Data Governance and Security Practices
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Understanding cloud data privacy
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Concepts of data encryption in transit and at rest
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Applying IAM roles and permissions to data services
4. Data Integration and Operations
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ETL vs ELT workflows
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Designing basic data pipelines
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Basics of data monitoring, logging, and troubleshooting
5. Making Data-Driven Decisions
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Using BI tools to create visual insights
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Interpreting dashboards and metrics
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Applying analytical thinking to solve business problems
Who Should Consider This Certification?
This certification is a great fit for:
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Individuals new to cloud data technologies
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Business professionals, analysts, and marketers who use data
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Students or career changers aiming to enter cloud data roles
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Anyone planning to specialize in GCP data analytics or machine learning
Recommended Study Resources
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Google Cloud Skills Boost (Hands-on labs and guided learning paths)
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BigQuery Essentials and Looker Studio official tutorials
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Google Cloud Documentation for services like Pub/Sub, BigQuery, and Dataflow
For other Google Cloud Certifications. Please visit GCP Certifications
Know more about the exam here : https://cloud.google.com/learn/certification/data-practitioner
Ishant P –
Just passed my Google Associate Cloud Data Practitioner exam using these practice exams alone! I was a bit concerned since Google recently updated the exam after I bought them, but they were fully up to date. I’d say around 70% of the questions were nearly identical, and the rest were well covered through the explanations. Make sure to review and understand the reasoning behind each answer, as Google might tweak the wording slightly. Highly recommend these if you’re preparing for the exam!