CCAF

Sample questions

Practice questions are AI-assisted adaptations of vendor course material.

A few questions from the Architect Foundations bank. Pick an option to check yourself in the browser. Full sittings live under Practice and Timed mock.

Where can I try free Architect Foundations sample questions?

CyberSkill publishes free sample questions for Claude Certified Architect - Foundations at /practice/ccaf/sample-questions. They are adapted from the vendor’s published course material, and are not live exam content.

Try a few

Each sample below comes from the same bank a practice sitting draws on — every scored item is free. Choosing an option checks it in the browser: no sitting starts and nothing is recorded. These samples are a public preview, so their answer keys are public too. A real sitting withholds its keys until you submit.

Sample 1

Production reviews reveal inconsistent handling of uncertainty in final reports. Sometimes conflicting subagent findings are synthesized into a single confident statement (losing nuance), while other times reports over-hedge with excessive qualifications (becoming unhelpful). When the web search agent returns "industry analysts estimate $50B market size (methodology varies)" and the document analysis agent returns "peer-reviewed study estimates 35B(±7B, 95% CI)," the coordinator either picks one arbitrarily or produces vague statements like "the market may be 35B−50B depending on factors." What systematic approach best addresses this?

Sample 2

An agent has tried three times to resolve a billing issue and the customer is still stuck. The right next step is to:

Sample 3

After the web search agent and document analysis agent complete their tasks, the coordinator invokes the synthesis agent. However, the synthesis agent responds that it cannot complete the task because no research findings were provided. What is the most likely cause of this issue?

Sample 4

Documents arrive continuously throughout business hours and need structured data extracted. To reduce costs, you want to use the `Message Batches API` (50% discount, up-to-24-hour processing window). Your SLA specifies that extraction results must be available within 30 hours of document arrival with 99.9% reliability. Which batching strategy is most appropriate?

Sample 5

A customer returns 4 hours after their initial session about the same billing dispute. The previous 32-turn session contains `lookup_order` results showing "Status: PENDING, Expected resolution: 24-48 hours." In testing, you observe that when resuming sessions with stale tool results, the agent often references the outdated data in responses (e.g., "I see your refund is still being processed") even after subsequent fresh tool calls return different information. What approach most reliably handles returning customers?

Sample 6

A user is expanding the research system beyond its single web search agent by adding specialized data sources. They add a financial API agent that returns structured JSON with revenue, margins, and growth rates; a news monitoring agent that returns prose summaries of recent developments; and a patent analysis agent that returns structured lists of technology areas. The synthesis agent combines these into executive briefings. Currently, it converts everything to bullet points, causing financial comparisons to lose tabular clarity and news summaries to lose narrative flow. What change would most improve briefing quality?

Sample 7

An engineer used the agent yesterday to analyze a legacy authentication module, identifying two distinct refactoring approaches: extracting a microservice versus refactoring in-place. Today, they want to explore both approaches in depth—having the agent propose specific code changes for each—before deciding which to implement. What's the most effective way to structure this exploration?

Sample 8

Your codebase exploration tool stores session IDs to allow engineers to continue investigations across work sessions. An engineer spent an hour yesterday analyzing a legacy authentication module, building context about its architecture and dependencies. They want to continue today. The session ID is valid, but version control shows 3 of the 12 files the agent previously read were modified overnight by a teammate's merge. What approach best balances efficiency and accuracy?

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