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| Section | Weight | Objectives |
|---|---|---|
| Governance, Safety & Risk Management | 14% | - Security and risk management - Regulatory and compliance requirements - AI safety and guardrails - Ethical AI considerations - Human-in-the-loop validation |
| Claude Models, Prompting & Context Engineering | 13% | - Prompt reuse and context engineering strategies - Context window optimization - System prompts and prompt templates - Claude model selection and trade-offs - Guardrails |
| Solution Design & Architecture | 17% | - Multi-agent systems and orchestration - Translating business problems into Claude-based AI solutions - Alignment with business value, cost, performance, and SLAs - Decomposition techniques for complex problem solving - Architectural patterns
|
| Evaluation, Testing & Optimization | 16% | - System issue diagnosis - Evaluation metrics and datasets - A/B testing - Production monitoring and optimization - Cost and performance optimization - Evaluation framework design |
| Developer Productivity & Operational Enablement | 7% | - Claude tooling configuration for teams - Developer enablement - Debugging and operational issue resolution - AI-assisted developer workflows |
| Integration | 19% | - Claude integration mechanisms
- Authentication and authorization analysis |
| Stakeholder Communication & Lifecycle Management | 14% | - Stakeholder management - Discovery and requirements gathering - Architecture documentation - Communicating architectural decisions - Service-level agreements - Solution lifecycle management |
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NEW QUESTION # 110
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: A,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 # 111
You are distinguishing functional from non-functional requirements during discovery.
Which item is a non-functional requirement?
Answer: A
Explanation:
Option D defines a measurable performance characteristic rather than a business capability. The requirement specifies a percentile-based latency threshold-under 800 milliseconds at the 95th percentile-and ties that threshold to the expected workload volume. It therefore describes how well the system must operate under defined conditions.
Options A, B, and C are functional requirements. They describe actions the solution must perform: extracting fields and creating a downstream record, producing an editable draft, and assigning tickets to categories.
Functional requirements define observable system behaviors or outputs.
A strong non-functional requirement must include a metric, threshold, measurement method, and operating condition. For Option D, the architect should further define whether latency is measured end-to-end or only at the model API, the test duration, concurrency, input-size distribution, cache state, timeout behavior, geographic region, and treatment of failed requests. Without those details, teams may report incompatible results while claiming to satisfy the same requirement.
Non-functional requirements for Claude solutions commonly address latency, availability, throughput, cost, privacy, security, recoverability, observability, scalability, and regulatory compliance.
Study Guide references/topics: Structured discovery; functional requirements; non-functional requirements; p95 latency; workload conditions; measurable acceptance criteria.
NEW QUESTION # 112
You are a platform architect designing an internal Claude-based assistant that serves both finance analysts and external auditors. Each population must access only documents permitted by its role.
Where should role-based access control be enforced in the pipeline?
Answer: B
Explanation:
Authorization must be enforced before restricted information enters model context. The retrieval service should authenticate the user, resolve role and document permissions, and filter candidate records before prompt construction. This prevents unauthorized content from appearing in prompts, model traces, cached context, tool results, or generated responses. A system-prompt instruction is behavioral guidance, not an enforceable access-control boundary. Post-generation filtering is also inadequate because the model has already received and processed the restricted data, creating exposure through output, logging, or indirect inference. Relying on general refusal behavior provides no deterministic authorization. The correct architecture treats RBAC as an application and data-layer control, with the model receiving only information the requesting principal is entitled to access.
Study Guide references/topics: Retrieval-layer RBAC; authorization before inference; least privilege; sensitive-context isolation.
NEW QUESTION # 113
You are compiling team-setup practices for a Claude Code rollout across an engineering organization.
Which two practices belong on the list? (Select two.)
Each correct answer presents a complete solution.
Answer: D,E
Explanation:
Project scope is designed for repository-specific configuration shared through version control, including MCP server definitions, project permissions, hooks, and team instructions. This gives every contributor a consistent baseline while keeping changes reviewable. Managed configuration is appropriate for mandatory security and compliance controls because administrators can deploy it centrally and prevent lower scopes from overriding it. Local scope is machine-specific and unsuitable for organization-wide enforcement. User scope follows one engineer across projects, so it cannot guarantee that an entire team receives identical MCP definitions.
Personal editor preferences belong in user or local configuration, not project scope, unless the team has explicitly standardized them. Anthropic's settings hierarchy distinguishes managed, project, local, and user responsibilities. Claude Code settings
NEW QUESTION # 114
The compliance team has authored a regulatory disclosure procedure that must be applied identically across customer service, sales, and onboarding workflows. The procedure changes when regulators issue updates, currently four to six times per year. You are designing how the procedure will be packaged for use by Claude across all three workflows.
Which two design decisions should you include? (Select two.)
Each correct answer presents part of the solution.
Answer: A,E
Explanation:
The procedure should have one authoritative implementation and one accountable owner. Packaging it as a compliance-owned Skill allows the instructions, examples, templates, and prohibited patterns to be maintained together. Referencing that same Skill from all three workflows ensures that updates propagate consistently without requiring separate prompt changes. Embedding copies in multiple system prompts or allowing workflow teams to rewrite the procedure creates configuration drift and inconsistent regulatory behavior. A retrieval corpus is appropriate for searchable reference material, but the requirement concerns a fixed operational procedure that Claude must follow, making a Skill the stronger abstraction. The Skill should be versioned, reviewed, tested, and released through a controlled publication process. Claude Code Skills
NEW QUESTION # 115
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