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Anthropic Claude Certified Architect - Professional Sample Questions:

1. You are running a controlled experiment to compare two prompts and must complete the design steps before executing the experiment.
Which two steps must be completed BEFORE running the experiment with random assignment? (Select two.) Each correct answer presents part of the solution.

A) Define the hypothesis and the primary success metric for the comparison.
B) Analyze the results against the predefined success metric and significance threshold.
C) Document the recommendation, the trade-offs accepted, and the alternatives considered.
D) Decide whether to promote, reject, or iterate the candidate based on the analysis.
E) Determine the minimum detectable effect size and the sample size needed for power.

2. You are integrating AI-assisted tooling into the team's documentation workflow. The team wants generated documentation that stays grounded in the actual code.
Which integration approach best fits this requirement?

A) Disable all filesystem and code-search tools so the subagents cannot read any repository code, accepting that documentation generation will be entirely disconnected from the actual implementation.
B) Generate documentation from the model's training-data recall without reading any of the actual repository code, accepting that the output will not reflect the current implementation.
C) Configure subagents that read the relevant code files via filesystem and code-search tools, generate the documentation, and emit changes through the team's normal review workflow.
D) Have the subagents publish generated documentation directly to the public-facing site without passing through the team's normal review workflow or any human approval step.

3. You are reviewing a peer's Claude Code permission rules for an enterprise rollout. The rules grant unrestricted Bash access to all projects across all developers.
Which response is most appropriate?

A) Replace unrestricted Bash with narrowly scoped tool patterns that allow only the specific commands the workflows require, and add explicit deny rules for sensitive operations.
B) Disable all permission rules for the enterprise rollout so every command across every project runs without any tool-pattern scoping or explicit deny rules for sensitive operations.
C) Add unrestricted access to additional tool categories as well, so that Bash is not asymmetrically more permissive than other tools, expanding the attack surface further in the name of consistency.
D) Approve the unrestricted Bash access as written on the grounds that narrowing the rules would add configuration complexity, accepting the full attack surface for all engineers across all projects.

4. You are diagnosing a Claude Code session whose subagent uses 50,000 tokens of context before the engineer types a single message.
Which root cause is most likely?

A) Many MCP servers are configured, each contributing tool definitions to the context budget; Tool Search is not enabled, so all definitions load upfront.
B) The developer's keyboard layout or input-method configuration is the cause of the elevated context consumption, introducing extra tokens before the engineer types any message.
C) The model has internal personal preferences or default behaviors that silently consume large portions of context budget before any user message is processed, independent of tool configuration.
D) The font rendering or display-scaling settings of the IDE are converting visual output into additional context tokens, causing the high pre-session context consumption.

5. You are building an ethics-review checklist for deployments supported by artificial intelligence.
Which two checks belong on the list? (Select two.)
Each correct answer presents a complete solution.

A) Confirm that vendor licensing terms permit the planned production use of the model.
B) Restrict ethics review to outputs that exceed a defined model-confidence threshold.
C) Confirm that latency and throughput targets are met across supported user populations.
D) Confirm that high-impact decisions retain human accountability rather than being attributed to the model.
E) Verify that outputs do not rely on generalizations about people that the underlying data does not support.

Solutions: