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Preparing for the Google Cloud Associate Data Practitioner Certification?
This course provides 2025-updated practice tests designed to help beginners and data professionals build the right foundation in Google Cloud analytics.

These practice exams simulate the real exam, covering the essential skills tested at the Associate level:

• Understanding BigQuery basics, SQL queries, and dataset operations
• Core Google Cloud storage services: Cloud Storage, Bigtable, Firestore
• Data ingestion concepts: Pub/Sub, batch loading, streaming basics
• ETL/ELT fundamentals and basic data pipeline concepts
• Data modeling, data lifecycle, and access patterns
• Data governance basics—IAM, permissions, and compliance essentials
• Using Looker Studio and BigQuery for simple analytics & dashboards
• Foundational ML concepts using BigQuery ML (beginner-level awareness)
• Cost optimization fundamentals for data workloads
• Data use cases for AI and analytics on Google Cloud

Every question in the practice tests includes a clear explanation, making the course ideal for both beginners and working professionals.

This course gives you the confidence to pass the exam—even with no prior cloud background.

WHAT YOU’LL LEARN (Associate-Level Competencies)

• Understand the Google Cloud data ecosystem
• Query data using BigQuery’s SQL interface
• Identify the right database or storage service for each use case
• Understand basics of data pipeline architecture
• Learn ETL, ELT, streaming, and batch workflows at a conceptual level
• Use Pub/Sub for messaging and ingestion
• Apply IAM concepts to secure datasets
• Visualize data through dashboards and simple analytics
• Understand the basics of ML features in BigQuery ML
• Prepare confidently with realistic practice tests

REQUIREMENTS

• No prior cloud or data experience required
• Basic understanding of data and analytics is helpful
• Course is fully centered around practice tests

WHO THIS COURSE IS FOR

• Beginners entering cloud and data careers
• Students preparing for the Google Cloud Data Practitioner exam
• Analysts, developers, or support professionals expanding into data roles
• Data scientists or engineers needing foundational certification
• Anyone wanting a strong entry point into Google Cloud’s data services

COURSE INCLUDES

• Multiple full-length 2025 practice exams
• Scenario-based questions across all exam topics
• Detailed explanations for every question
• Beginner-friendly, exam-focused preparation
• Lifetime access with continuous updates
• Domain-wise knowledge checks

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Exam Overview – Google Cloud Certified: Associate Cloud Data Practitioner

The Associate Cloud Data Practitioner exam validates foundational knowledge of how Google Cloud’s data services work in real-world scenarios. It’s ideal for individuals beginning their cloud data journey and covers core GCP services and basic analytics concepts.

Key Exam Details

• Certification Name: Google Cloud Certified – Associate Cloud Data Practitioner

• Exam Format: Multiple choice and multiple select

• Number of Questions: ~50

• Time Limit: 90 minutes

• Delivery Method:

  • Online-proctored exam (remote)

  • Onsite at a test center via Kryterion

• Exam Language: English only

• Exam Fee: $125 USD

• Retake Policy: 14-day wait between attempts

Exam Topics / Domains Covered

Google groups exam questions into the following knowledge areas:

1. Section 1: Data Preparation and Ingestion (~30% of the exam)

   • 1.1 Prepare and process data

   • 1.2 Extract and load data into appropriate Google Cloud storage systems.

2. Section 2: Data Analysis and Presentation (~27% of the exam)

   • 2.1 Identify data trends, paerns, and insights by using BigQuery and Jupyter notebooks.

   • 2.2 Visualize data and create dashboards in Looker given business requirements.

   • 2.3 Dene, train, evaluate, and use ML models.

3. Section 3: Data Pipeline Orchestration (~18% of the exam)

   • 3.1 Design and implement simple data pipelines

   • 3.2 Schedule, automate, and monitor basic data processing tasks

   • IAM (Identity and Access Management) for secure access

   • Billing fundamentals and pricing calculator

4. Section 4: Data Management (~25% of the exam)

   • 4.1 Congure access control and governance.

   • 4.2 Congure lifecycle management

   • 4.3 Identify high availability and disaster recovery strategies for data in Cloud Storage and Cloud SQL

   • 4.4 Apply security measures and ensure compliance with data privacy regulations

Target Audience

• New cloud professionals or data analysts starting with GCP

• Business users, students, or developers working with cloud data

• Anyone preparing for more advanced GCP certifications (like Professional Data Engineer)

Who this course is for:

• Aspiring candidates preparing for the Google Cloud Certified Associate Data Practitioner exam.
• Beginners and professionals looking to build foundational knowledge of GCP’s data and analytics services.
• Data analysts, business users, and students who want to validate their cloud data skills using Google Cloud tools.
• Anyone seeking realistic exam-style practice questions to assess readiness and gain confidence before the exam.
• Cloud beginners preparing for advanced GCP certifications such as the Professional Data Engineer or Cloud Architect.