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| Section | Objectives |
|---|---|
| Topic 1: Enterprise Integration and Production | - Enterprise integration architecture and production readiness - Cost, latency, reliability, and operational design |
| Topic 2: Evaluation and Optimization | - Model and architecture optimization - Evaluation design and acceptance criteria |
| Topic 3: Stakeholder Engagement and Solution Lifecycle | - Solution lifecycle, handoff, adoption, and operational enablement - Stakeholder discovery and architectural trade-off communication |
| Topic 4: Solution Design | - Model, architecture, context, and deployment strategy selection - Claude platform and solution architecture |
| Topic 5: Governance, Safety, and Risk | - Security, compliance, risk management, and governance - Safety controls and fail-closed system design |
1. You are integrating Claude Code into a workflow that runs against a production database.
Which guardrail design most directly preserves safety on data-modifying operations?
A) Configure the database MCP server with a fully privileged credential that can perform any read or write operation, and allow all operations to proceed without explicit human confirmation.
B) Allow Claude Code to write directly to the production database without subagent scoping, read-only credential defaults, or human confirmation gates on data-modifying operations.
C) Configure the database MCP server with a read-only credential by default, restrict the subagent's tool list to read-only operations, and require explicit human confirmation on any operation that would modify data.
D) Disable all logging and auditing on database operations through the MCP server to reduce alert noise, removing the observability needed to detect unintended data modifications.
2. You are defining when to introduce a project subagent versus relying on Claude Code's general capabilities.
Which scenario most directly justifies a dedicated subagent?
A) The team wants every Claude Code interaction to use the same generic system prompt with no task- specific specialization, narrow tool permissions, or dedicated model selection.
B) The team has no recurring specialized tasks and uses Claude Code only for isolated general-purpose work that does not justify a dedicated system prompt or tool scope.
C) The team has a recurring specialized task, such as database schema review, that requires a focused system prompt, narrow tool permissions, and a specific model selection across many sessions.
D) The team has a one-time ad hoc question that will not recur and does not require a focused system prompt, narrow tool permissions, or dedicated model selection.
3. You are supporting a team whose Claude Code sessions consistently load 60 or more MCP tools from many servers, exhausting context budget before the session begins.
Which adjustment most directly addresses this issue without removing capability?
A) Add additional MCP servers to give the team more capability, which increases rather than reduces the number of tool definitions loaded into the session's context budget.
B) Disable every MCP server in the configuration to free up context budget, accepting that the team loses all tool access and cannot perform any MCP-dependent task in the session.
C) Increase the prompt's verbosity with additional instructions and context, which consumes more of the context budget rather than reducing the tool-definition overhead causing the issue.
D) Enable Tool Search so tool definitions are deferred and discovered on demand rather than loaded into context upfront.
4. You are reviewing a peer's end-to-end design for a Claude-based platform expected to scale to thousands of concurrent users.
For each statement, indicate Yes if it reflects sound architectural practice. Otherwise, select No.
5. An engineering organization is adopting Claude Code across 200 developers. A team lead proposes that AI- generated pull requests bypass standard code review for changes under 50 lines because small changes are considered low risk and review capacity is constrained.
Which two Diligence-competency objections should you raise? (Select two.) Each correct answer presents part of the solution.
A) Line count is a poor proxy for the actual risk introduced by a code change.
B) Code-review capacity should be expanded to handle every code change submitted across the team.
C) AI-generated pull requests should be rejected by default across the organization.
D) Removing review eliminates the verification mechanism required for AI-generated output across the workflow.
E) The threshold should be increased to 200 lines to capture more changes.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: Only visible for members | Question # 5 Answer: A,D |
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