Library / Artificial Intelligence
Ace Google Cloud Professional Agentic Architect Mock Exams
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About this course
Prepare for the Google Cloud Certified Professional Agentic Architect (PAA) multiple-choice exam with full-length, timed mock exams built on Google's official exam guide and the latest Google Cloud documentation (including the April 2026 Agent Platform rebrand).
Every question is a realistic architecture scenario of the kind the exam uses: "A team needs X — which design or service fits best?
" Every answer option is explained, and every question is tagged with its official exam objective.
WHAT'S INSIDE
- 5 full mock exams (250 original questions), each 50 questions in 120 minutes
- Questions weighted like the official exam guide: low-code agents ~13%, coding agents ~17%, custom agents ~33%, evaluation and deployment ~22%, security and governance ~15%
- A mix of single-answer and multiple-select questions
- Every answer option explained: why the right answer is right and why each distractor is wrong
- Randomised question and answer order, so you learn the concepts rather than memorising positions
- Each mock independently fact-checked against Google's primary documentationTOPICS COVERED (OFFICIAL EXAM GUIDE)1. Building agents with low-code tools: Gemini Enterprise Workflow Builder, CX Agent Studio, Dialogflow CX flows, connectors, data stores and Agent Search2. Using coding agents: Antigravity (CLI, App, SDK), Claude Code on Google Cloud, MCP configuration, skills, rules, hooks, plugins, subagents, Agents CLI, GKE Agent Sandbox and Cloud Workstations3. Developing custom agents: model selection, Agent Development Kit (ADK) agents, tools, callbacks, plugins, state, sessions, Memory Bank, RAG Engine, Vector Search, Agent Retrieval, embeddings, Agent Identity, Agent Registry, Google Cloud MCP servers, MCP and Agent2Agent (A2A)4. Evaluating and deploying: ADK evaluation, Gen AI evaluation service, autoraters, online monitors, Agent Runtime vs Cloud Run vs GKE, Cloud Trace and troubleshooting5.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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