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| Section | Objectives |
|---|---|
| Topic 1: Stakeholder Engagement and Solution Lifecycle | - Solution lifecycle, handoff, adoption, and operational enablement - Stakeholder discovery and architectural trade-off communication |
| Topic 2: Governance, Safety, and Risk | - Security, compliance, risk management, and governance - Safety controls and fail-closed system design |
| Topic 3: Evaluation and Optimization | - Evaluation design and acceptance criteria - Model and architecture optimization |
| Topic 4: Enterprise Integration and Production | - Enterprise integration architecture and production readiness - Cost, latency, reliability, and operational design |
| Topic 5: Solution Design | - Model, architecture, context, and deployment strategy selection - Claude platform and solution architecture |
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NEW QUESTION # 53
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.
Answer: B,E
Explanation:
AI-generated code requires verification through the same controlled engineering workflow as human-authored changes. Removing review eliminates the gate that can detect incorrect assumptions, security defects, missing tests, and unintended behavior. Line count is not a defensible risk measure: a one-line authorization change, dependency alteration, or command-execution defect can be more consequential than a large documentation update. Review requirements should instead be determined by affected components, privilege, data sensitivity, reversibility, test coverage, and deployment impact. Expanding capacity may be operationally useful but is not the central diligence objection. Raising the threshold retains the same flawed proxy, while rejecting all AI-generated changes discards legitimate productivity benefits. Anthropic states that users remain responsible for reviewing proposed code and commands. Claude Code security
NEW QUESTION # 54
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: D,E
NEW QUESTION # 55
A Claude architect is leading the discovery phase for a new AI-powered customer service solution.
Which two activities are characteristic of structured discovery and requirement gathering for a Claude-based deployment? (Select two.)
Answer: A,B
Explanation:
Structured discovery begins by eliciting constraints from the people who own the business outcome, operate the process, manage risk, and will use or support the deployed system. Stakeholder workshops in Option A identify measurable expectations concerning accuracy, latency, throughput, cost, privacy, compliance, escalation, and acceptable failure behavior before the solution is scoped.
Option D converts those expectations into production gates. Success criteria must be explicit enough to evaluate empirically, while failure thresholds must determine when the design requires remediation, human review, or rejection. Anthropic's evaluation guidance states that successful LLM applications begin with defined success criteria and evaluations that measure performance against them. It characterizes strong criteria as specific, measurable, achievable, and relevant. Define Success Criteria and Build Evaluations Option B prematurely selects a model before the workload profile is known. Option C can supplement discovery, but reaction-driven prototyping cannot replace documented requirements and acceptance criteria.
Option E postpones essential constraints until architectural commitments may already have been made.
The discovery output should create traceability from stakeholder objectives to requirements, evaluation metrics, architecture decisions, and deployment gates.
Study Guide references/topics: Structured discovery; stakeholder workshops; nonfunctional requirements; success criteria; failure thresholds; production readiness gates.
NEW QUESTION # 56
You are comparing two configurations for an internal compliance Q & A assistant. Configuration X reduces top-k retrieval and uses a lighter model, lowering p95 latency by 38 percent while producing a measured 2 percent reduction in the accuracy benchmark. Configuration Y retains the existing top-k retrieval setting and heavier model, with unchanged p95 latency and no measurable change in accuracy. The deployment's stated priorities are accuracy first and latency second.
Which configuration is the better recommendation?
Answer: B
Explanation:
Configuration Y is the appropriate recommendation because architectural optimization must follow the deployment's explicitly defined priorities and acceptance criteria. Accuracy is the primary requirement for this compliance assistant, and Configuration X introduces a measured two-percent accuracy regression. That reduction cannot be dismissed as ordinary benchmark variation unless repeated evaluation establishes that it is statistically insignificant. In a compliance workload, even a small accuracy decline can increase incorrect guidance, missed policy requirements, human-review effort, and regulatory exposure. Configuration Y preserves the established accuracy level while maintaining the current latency profile. Although its latency does not improve, latency is explicitly the secondary objective. Configuration X could be reconsidered only if further testing eliminates the accuracy regression or stakeholders formally approve a revised trade-off.
Options C and D incorrectly impose a general preference for latency over the documented deployment priorities.
NEW QUESTION # 57
You are choosing the level of detail for an implementation guide. The audience is a delivery team that will build the deployment.
Which guidance composition best serves them?
Answer: D
Explanation:
A delivery team needs implementation-level direction rather than an executive architecture summary.
Component responsibilities establish ownership and boundaries, while interface contracts define schemas, accepted inputs, outputs, errors, and behavioral expectations. Sequence diagrams show how components interact across dominant and failure flows. Configuration tables with defaults prevent inconsistent assumptions between environments. Operational runbooks ensure that deployment, recovery, monitoring, and routine maintenance are addressed during implementation rather than improvised after release. Options B, C, and D omit one or more elements required to translate architectural intent into a buildable and supportable system. The guide should enable normal delivery work without continuous dependence on undocumented knowledge held by the architect.
Study Guide references/topics: Implementation documentation; component contracts; sequence diagrams; configuration management; operational readiness.
NEW QUESTION # 58
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