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Google Cloud Professional Agentic Architect Practice Tests

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390 Practice Questions with Detailed Explanations on ADK, MCP, RAG, Agent Development and Security
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Created by Pranshi Verma
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What you'll learn

  • Understand Google Cloud agentic AI architecture, core concepts, agent design patterns, and enterprise use cases.
  • Evaluate agent development approaches using ADK, MCP, RAG, tools, APIs, and multi-agent orchestration.
  • Assess agentic workflows through testing, evaluation, observability, deployment, and production monitoring strategies.
  • Apply security, governance, IAM, data protection, and responsible AI principles to enterprise agentic systems.
This course includes:
390 questions on-demand video
0 articles
0 downloadable resources
0 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • Basic understanding of cloud computing and Google Cloud concepts is recommended.
  • Familiarity with generative AI, large language models (LLMs), and AI applications will be helpful.
  • Basic knowledge of APIs, software development, or Python is beneficial but not mandatory.
  • No prior professional agent development experience is required.
  • A Google Cloud account and hands-on practice are recommended for deeper learning, but are not required to attempt these practice tests.

Description

Google Cloud Professional Agentic Architect – Complete Practice Tests

Prepare for the Google Cloud Professional Agentic Architect certification with this comprehensive practice test course featuring 390 carefully designed practice questions across six full-length mock tests.

Agentic AI is transforming how organizations build intelligent applications, automate workflows, connect enterprise systems, and deploy autonomous AI agents. This certification focuses on the architecture, development, evaluation, deployment, security, and governance of agentic workflows using Google Cloud technologies.

This course is designed to help you develop the technical understanding and practical decision-making skills required for professional-level certification preparation.

What You Will Get

  • 6 comprehensive practice tests.

  • 390 original practice questions.

  • Detailed explanations for every question.

  • Realistic enterprise architecture scenarios.

  • Single-select and multiple-select questions.

  • Intermediate, advanced, and expert-level challenges.

  • Explanations of correct and incorrect answer choices.

  • External learning resources and official Google Cloud documentation links.

Topics Covered

1. Building Agents Using Low-Code Tools
Understand agent workflows, enterprise integrations, prompt design, conversational flows, and low-code agent development.

2. Using Coding Agents for Application Development
Explore coding-agent workflows, MCP integration, reusable skills, subagents, development environments, and software engineering automation.

3. Developing Custom Agents
Practice ADK architecture, Gemini models, tool calling, agent orchestration, RAG, embeddings, Vector Search, MCP, A2A, sessions, and memory management.

4. Evaluating and Deploying Agentic Workflows
Understand evaluation frameworks, golden datasets, trajectory evaluation, continuous testing, deployment architecture, monitoring, troubleshooting, and production reliability.

5. Securing and Governing Agentic Workflows
Study Agent Identity, OAuth, least privilege, prompt injection protection, Model Armor, Agent Gateway, data protection, and enterprise governance.

Who Should Enroll?

This course is suitable for:

  • Cloud architects and AI architects.

  • Generative AI and Agentic AI developers.

  • Google Cloud professionals.

  • Software engineers working with AI agents.

  • Machine learning and AI engineers.

  • IT professionals preparing for professional-level certification.

Why Choose This Practice Test Course?

Every question is designed to encourage deeper understanding rather than simple memorization. Detailed explanations help you understand architectural trade-offs, identify incorrect approaches, and strengthen your technical decision-making skills.

Use these six practice tests to assess your preparation, identify knowledge gaps, and improve your confidence before attempting the certification examination.

Important: This is an independent practice test course. It is not affiliated with, endorsed by, or sponsored by Google. These practice questions are not actual examination questions. Passing the certification examination cannot be guaranteed. Refer to the latest official Google Cloud exam guide for current objectives and examination requirements.

Who this course is for:

  • Cloud architects and solution architects exploring agentic AI solutions.
  • AI/ML engineers and generative AI developers building intelligent agent-based applications.
  • Software developers interested in ADK, MCP, RAG, tool integration, and multi-agent systems.
  • Google Cloud professionals expanding their expertise in enterprise AI architecture.
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