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| Section | Weight | Objectives |
|---|---|---|
| Developer Productivity & Operational Enablement | 7% | - Developer enablement - Debugging and operational issue resolution - AI-assisted developer workflows - Claude tooling configuration for teams |
| Governance, Safety & Risk Management | 14% | - Human-in-the-loop validation - Regulatory and compliance requirements - Ethical AI considerations - Security and risk management - AI safety and guardrails |
| Evaluation, Testing & Optimization | 16% | - Cost and performance optimization - Production monitoring and optimization - Evaluation metrics and datasets - Evaluation framework design - A/B testing - System issue diagnosis |
| Stakeholder Communication & Lifecycle Management | 14% | - Discovery and requirements gathering - Architecture documentation - Stakeholder management - Service-level agreements - Solution lifecycle management - Communicating architectural decisions |
| Solution Design & Architecture | 17% | - Multi-agent systems and orchestration - End-to-end architecture design - Architectural patterns
- Alignment with business value, cost, performance, and SLAs - Translating business problems into Claude-based AI solutions |
| Claude Models, Prompting & Context Engineering | 13% | - Prompt reuse and context engineering strategies - Claude model selection and trade-offs - Context window optimization - Guardrails - System prompts and prompt templates |
| Integration | 19% | - Authentication and authorization analysis - Claude integration mechanisms
|
1. During an architectural review, the security team identifies a risk that adversarial content injected into retrieved documents could manipulate the model's behavior.
Which mitigation most directly addresses this threat?
A) Require citations for each claim and constrain responses to source-supported content.
B) Restrict outbound tool calls to an approved destination allow-list.
C) Score outputs against a stable adversarial evaluation set on each model-version change.
D) Treat all retrieved content as untrusted input and apply input classifiers with output validation.
2. You are compiling continuity practices that span the deployment lifecycle.
Which two practices belong on the list? (Select two.)
Each correct answer presents a complete solution.
A) Carry the evaluation framework and reference set forward across iterations rather than rebuilding each time.
B) Maintain a stakeholder register and notify the listed parties at every phase transition event.
C) Lock decisions made in early phases to prevent revisiting them as later phases begin.
D) Capture lessons learned at the end of each phase and surface them as inputs to the next phase.
E) Archive every phase deliverable in long-term storage to preserve a record of what was produced.
3. A technical team is debating whether to implement a new capability for generating regulatory filings from internal data as a Claude Skill or as an MCP server. The capability requires a fixed authoring procedure with embedded examples, does not need to call live external systems, and must be portable across three Claude deployments: claude.ai, an internal API integration, and Claude Code.
Which factor most strongly favors implementing the capability as a Skill?
A) The capability needs to query a live database for the most recent regulatory filings.
B) The capability is procedural knowledge with no live external-system calls required.
C) The capability requires direct authentication against the corporate identity provider.
D) The capability must also be callable from a developer's command-line interface.
4. You are evaluating retrieval-strategy claims used by a peer team.
For each claim, select yes if the statement is generally accurate. Otherwise, select no.
5. 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) 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.
B) 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.
C) Many MCP servers are configured, each contributing tool definitions to the context budget; Tool Search is not enabled, so all definitions load upfront.
D) 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.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,D | Question # 3 Answer: B | Question # 4 Answer: Only visible for members | Question # 5 Answer: C |
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