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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Safety & Risk Management | 14% | - Security and risk management - Ethical AI considerations - Regulatory and compliance requirements - AI safety and guardrails - Human-in-the-loop validation |
| Topic 2: Claude Models, Prompting & Context Engineering | 13% | - Claude model selection and trade-offs - System prompts and prompt templates - Prompt reuse and context engineering strategies - Context window optimization - Guardrails |
| Topic 3: Integration | 19% | - Claude integration mechanisms
- Enterprise system integration |
| Topic 4: Solution Design & Architecture | 17% | - End-to-end architecture design - Translating business problems into Claude-based AI solutions - Architectural patterns
- Alignment with business value, cost, performance, and SLAs - Multi-agent systems and orchestration |
| Topic 5: Developer Productivity & Operational Enablement | 7% | - AI-assisted developer workflows - Claude tooling configuration for teams - Debugging and operational issue resolution - Developer enablement |
| Topic 6: Evaluation, Testing & Optimization | 16% | - A/B testing - System issue diagnosis - Evaluation metrics and datasets - Cost and performance optimization - Production monitoring and optimization - Evaluation framework design |
| Topic 7: Stakeholder Communication & Lifecycle Management | 14% | - Discovery and requirements gathering - Solution lifecycle management - Communicating architectural decisions - Stakeholder management - Service-level agreements - Architecture documentation |
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NEW QUESTION # 87
You are building an evaluation pipeline for a Claude-based deployment and must complete the specification steps before running the deployment against the dataset.
Which two steps must be completed BEFORE running the deployment against the evaluation dataset? (Select two.) Each correct answer presents part of the solution.
Answer: B,E
Explanation:
The evaluation specification must exist before inference begins. Option D defines what the evaluation will measure and how results will be segmented. Representative cases measure normal workload performance, edge cases test boundary behavior, and adversarial cases examine safety, security, or robustness under hostile inputs.
Option B then supplies the correctly curated and labeled dataset corresponding to those slices. Labels, expected outcomes, grading rubrics, provenance, and dataset versions must be established before the deployment generates outputs. Otherwise, evaluators risk modifying criteria after seeing results and introducing confirmation bias.
Anthropic defines an evaluation as an input combined with grading logic used to measure success. Its evaluation guidance distinguishes tasks, trials, graders, traces, outcomes, and the harness that runs and aggregates them. Demystifying Evals for AI Agents Option E occurs after model execution because outputs must exist before they can be scored. Option A follows scoring and aggregation. Option C is an iterative improvement step performed after failure cases become available, although rubric calibration may also be conducted on separate development data.
Study Guide references/topics: Evaluation specification; metrics and slices; representative and adversarial datasets; labeling; scoring; aggregation; release gates.
NEW QUESTION # 88
You are producing an architecture guide for a new deployment and must complete the planning steps before drafting each section.
Which two steps must be completed BEFORE drafting each section of the guide? (Select two.) Each correct answer presents part of the solution.
Answer: A,D
Explanation:
Effective documentation begins with audience analysis and structural planning. Identifying the audience determines the required technical depth, terminology, decision context, and operational emphasis. Defining the questions the guide must answer prevents sections from becoming generic descriptions. The outline then establishes complete coverage across architecture overview, component responsibilities, interface contracts, dominant flows, operational runbooks, and known limitations. Translation occurs only after stable source content exists. Implementation-team validation also follows an initial draft because there must be material to review. Version control, reviewers, and cadence are important governance controls, but they do not replace the two content-planning activities required before section drafting. The guide should be planned around the decisions and tasks its intended readers must perform.
NEW QUESTION # 89
A senior architect is preparing briefing materials on a new retrieval architecture. The executive sponsor has requested a summary of the architectural decision. Which framing is most appropriate for that audience?
Answer: D
Explanation:
Executive sponsors generally need architecture decisions translated into business significance. The briefing should explain what outcomes the retrieval architecture enables, why the chosen approach is valuable, which material trade-offs were accepted, and what major risks require awareness or sponsorship. This allows the executive to assess strategic alignment, investment value, and organizational exposure without becoming immersed in component-level implementation details. Option A is more appropriate for architects and engineering teams conducting a technical review. Option C is primarily suited to product and program stakeholders managing features, scope, and roadmap dependencies. Option D is designed for security, compliance, and risk-governance audiences requiring detailed control evidence. Although those perspectives remain important, option B provides the concise, outcome-oriented framing needed for an executive architectural decision summary.
NEW QUESTION # 90
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.
Answer: D,E
Explanation:
Lifecycle continuity depends on preserving validated knowledge and feeding operational learning back into subsequent phases. Carrying the evaluation framework and reference set forward, as stated in Option B, creates a stable baseline across prompt changes, model migrations, retrieval adjustments, and architectural revisions. Rebuilding the evaluation system each time would undermine longitudinal comparison because changes in the test framework could be mistaken for changes in solution performance.
Option D establishes the second essential continuity mechanism: lessons from discovery, design, implementation, deployment, and production monitoring become explicit inputs to the next phase. This closes the feedback loop and prevents recurring defects, invalid assumptions, and operational findings from being lost at organizational handoffs.
Option A is overly mechanical. Stakeholders should receive communications relevant to their responsibilities and decision rights, not indiscriminate notifications at every transition. Option C confuses comprehensive archival with lifecycle continuity; retention must follow business, regulatory, security, and records- management requirements rather than an unconditional "archive everything" policy. Option E is directly contrary to iterative architecture. Decisions should be documented and governed, but material evidence or changed requirements must be allowed to reopen them.
Study Guide references/topics: Lifecycle phases; evaluation continuity; reference datasets; feedback loops; lessons learned; decision records; iterative architecture governance.
NEW QUESTION # 91
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?
Answer: D
Explanation:
Unrestricted Bash access exposes filesystem, credential, process, network, package-management, and potentially infrastructure-administration capabilities across every repository. Option C applies least privilege by identifying the commands genuinely required by approved workflows and permitting only those patterns.
Explicit deny rules should protect destructive commands, sensitive files, credential stores, deployment systems, and other prohibited operations.
Anthropic's permission system supports allow, ask, and deny rules, with deny evaluated before ask and allow.
It also warns that command patterns intended to constrain network utilities can be fragile, so stronger controls such as WebFetch domain restrictions, hooks, and sandbox boundaries may be required. Claude Code Permissions Enterprise configuration should combine managed baseline restrictions with project-specific permissions where necessary. High-impact commands should remain subject to confirmation, and sandboxing should provide operating-system-level filesystem and network containment.
Options A and D deliberately enlarge the attack surface. Option B treats configuration simplicity as more important than enterprise security and fails to account for prompt injection, accidental commands, compromised repositories, or excessive human approval. The configuration should be narrow, auditable, centrally governed, and validated against real development workflows.
Study Guide references/topics: Claude Code permissions; Bash restrictions; least privilege; managed controls; explicit deny rules; sandboxing; enterprise rollout security.
NEW QUESTION # 92
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