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| Section | Objectives |
|---|---|
| Topic 1: Solution Design | - Claude platform and solution architecture - Model, architecture, context, and deployment strategy selection |
| Topic 2: Evaluation and Optimization | - Model and architecture optimization - Evaluation design and acceptance criteria |
| Topic 3: Governance, Safety, and Risk | - Safety controls and fail-closed system design - Security, compliance, risk management, and governance |
| Topic 4: Stakeholder Engagement and Solution Lifecycle | - Solution lifecycle, handoff, adoption, and operational enablement - Stakeholder discovery and architectural trade-off communication |
| Topic 5: Enterprise Integration and Production | - Enterprise integration architecture and production readiness - Cost, latency, reliability, and operational design |
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NEW QUESTION # 85
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: A,D
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 # 86
You are distinguishing functional from non-functional requirements during discovery.
Which item is a non-functional requirement?
Answer: B
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 # 87
You are identifying the highest-impact optimization for a deployment whose token cost is dominated by a long, repeated system prompt and a large retrieved context per request.
Which optimization most directly targets the dominant cost driver?
Answer: D
Explanation:
Option C addresses both components responsible for the excessive cost. Anthropic prompt caching allows stable, repeatedly submitted prompt material-such as system instructions, tool definitions, and reusable background information-to be placed in a consistent prefix. After that prefix is written to the cache, qualifying subsequent requests can reuse it at the lower cache-read cost instead of repeatedly processing the same content at the standard input-token rate.
Retrieval must be optimized separately. Supplying an entire document collection or excessively deep search results increases cost, consumes context capacity, and may reduce answer quality by surrounding the relevant evidence with distracting material. Retrieval should select the smallest set of authoritative passages that provides sufficient evidence for the current query. This typically requires relevance scoring, deduplication, metadata filtering, reranking, and explicit token-budget limits.
Increasing retrieval depth or expanding the repeated system prompt directly worsens the identified cost driver.
Moving every request to a heavier model changes the unit economics but does not correct inefficient context construction. The recommended optimization therefore combines prefix caching with query-specific context pruning, followed by evaluation to confirm that reduced context does not lower task accuracy.
Study Guide references/topics: [Prompt caching](https://docs.anthropic.com/en/docs/build-with-claude
/prompt-caching); [effective context engineering] (https://www.anthropic.com/engineering/effective-context- engineering-for-ai-agents); retrieval precision; token-cost analysis; cache-prefix stability.
NEW QUESTION # 88
You are running a discovery engagement for a new Claude-based capability and must complete the requirements-gathering steps before validating with stakeholders.
Which two steps must be completed BEFORE validating the captured requirements with stakeholders? (Select two.) Each correct answer presents part of the solution.
Answer: A,D
Explanation:
Requirements must first establish what the capability is expected to accomplish, who will use it, and which constraints bound the solution. Option B captures the business purpose, success criteria, and intended user population. Option E identifies critical non-functional requirements that will influence model selection, integration patterns, deployment boundaries, evaluation design, and operational controls. These inputs must exist before stakeholders can validate whether the captured requirements accurately represent their needs.
Architecture decision records are produced after meaningful alternatives and design decisions exist. Detailed traceability is important but follows the initial elicitation and consolidation process. Rollout scheduling occurs later, after requirements and architecture have been validated. Anthropic likewise recommends defining measurable success criteria and empirical evaluation methods before optimizing prompts or finalizing the implementation. Anthropic: Prompt engineering overview
NEW QUESTION # 89
An engineer inadvertently commits an API key to the repository by placing it in .claude/settings.json.
Which configuration design principle was violated?
Answer: D
Explanation:
A shared project settings file is intended to be committed so that team-level configuration can travel with the repository. Consequently, it must never contain API keys, access tokens, passwords, or comparable secrets.
Credentials should be injected at runtime through an approved secret-management mechanism, environment- specific credential provider, or delegated authentication flow. This separates distributable configuration from sensitive authentication material and supports rotation, revocation, auditing, and least privilege. Options A and B concern configuration precedence rather than secret handling. Option D is incorrect because MCP server definitions may legitimately be stored in project configuration; only their sensitive credential values must remain outside version control. Because the key was exposed, the operational response should also include immediate revocation or rotation and investigation of repository history. Claude Code: Settings files and precedence
NEW QUESTION # 90
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