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| Section | Weight | Objectives |
|---|---|---|
| Governance, Safety & Risk Management | 14% | - Manage data privacy and security compliance - Implement guardrails and safety controls - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Address ethical AI considerations and bias mitigation |
| Claude Models, Prompting & Context Engineering | 13% | - Apply context engineering and context management techniques - Design system prompts, templates, and guardrails - Mitigate prompt injection, leaks, and jailbreak risks - Select appropriate Claude models based on trade-offs |
| Developer Productivity & Operational Enablement | 7% | - Configure Claude tools and environments for teams - Improve developer workflows with AI-assisted tooling - Support debugging, monitoring, and operational resolution |
| Stakeholder Communication & Lifecycle Management | 14% | - Conduct structured discovery and requirement gathering - Manage stakeholder feedback and expectation alignment - Document architectures and support full lifecycle phases - Communicate architectural decisions and trade-offs |
| Evaluation, Testing & Optimization | 16% | - Define evaluation metrics and success criteria - Test accuracy, reliability, latency, and cost - Implement iterative improvement pipelines - Optimize performance, prompting, and model selection |
| Integration | 19% | - Integrate Claude with enterprise systems, APIs, and tools - Implement Model Context Protocol (MCP) integrations - Design authentication, authorization, and observability - Integrate with data pipelines and RAG systems |
| Solution Design & Architecture | 17% | - Align solutions to business value pillars - Select architectural patterns: workflow, agentic, augmented LLM - Translate business problems into Claude-based AI solutions - Design end-to-end architectures and feedback loops - Design multi-agent systems and orchestration strategies |
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NEW QUESTION # 91
You are building an ethics-review checklist for deployments supported by artificial intelligence.
Which two checks belong on the list? (Select two.)
Each correct answer presents a complete solution.
Answer: B,E
Explanation:
An ethics review must examine unsupported generalizations, stereotyping, disparate treatment, and other conclusions about people that are not justified by the evidence. It must also preserve identifiable human accountability for consequential decisions; responsibility cannot be transferred to a probabilistic system.
Licensing is a legal and commercial-control question, while latency and throughput are operational requirements. Both remain important, but neither is the central ethical test presented here. Restricting review to low-confidence or threshold-triggering outputs is also inadequate because models can express harmful or biased conclusions with high confidence. Ethical review should cover representative populations, protected and intersectional groups, high-impact outcomes, override mechanisms, transparency, and channels for challenge or appeal.
Study Guide references/topics: Bias and unsupported generalization; human accountability; consequential decisions; ethical oversight.
NEW QUESTION # 92
A technical team is cataloguing risks specific to Claude's use in a document-grounded Q & A system.
Which two items represent failure modes intrinsic to LLM-based systems rather than generic software defects? (Select two.)
Answer: B,D
Explanation:
Over-refusal and hallucination are characteristic model-behavior risks. An overly broad safety response can reject a legitimate request even when the surrounding application operates correctly. A plausible but unsupported answer is a groundedness failure arising from probabilistic generation and inadequate source adherence. These risks require model-specific evaluations, grounding instructions, citations, verification, and calibrated fallback behavior. Expired certificates, database timeouts, and load-balancer misconfiguration are conventional distributed-system failures that should be addressed through infrastructure monitoring, retries, health checks, and configuration management. Distinguishing these categories matters because ordinary software remediation will not resolve behavioral failures, while prompt changes will not repair infrastructure.
Anthropic's hallucination guidance recommends auditable citations and supporting evidence for generated claims. Reducing hallucinations
NEW QUESTION # 93
You are distinguishing functional from non-functional requirements during discovery.
Which item is a non-functional requirement?
Answer: D
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 # 94
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,D
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 # 95
A solutions architect is analyzing stakeholder feedback collected after the first quarter of a Claude-powered procurement automation deployment. The feedback includes four statements: (1) "Our procurement team is processing 3x more purchase orders per analyst per day." (2) "We have eliminated the manual data entry role entirely and redeployed those staff to vendor relationship management." (3) "The API integration costs are running 40% over the projected per-transaction budget." (4) "Response latency during end-of-month batch runs is averaging 11 seconds, against our committed 5-second SLA." Which of the following correctly identifies the primary business value pillar each stakeholder statement represents?
Answer: D
Explanation:
Statement 1 measures efficiency because the same operating unit-one procurement analyst-now processes three times as many purchase orders per day. It reflects increased throughput and reduced effort per transaction within the existing procurement process.
Statement 2 represents transformation. The organization has not merely accelerated manual data entry; it has eliminated that role from the workflow and redirected employees toward higher-value vendor relationship management. This is a structural redesign of responsibilities and operating practices.
Statement 3 is a solution-cost issue because the measured API integration expense exceeds the approved per- transaction financial model by 40%. The architect must investigate token consumption, model routing, caching, retrieval overhead, tool calls, and integration charges while protecting the required quality level.
Statement 4 directly concerns the performance SLA. The observed 11-second latency is compared with an explicit contractual or operational target of five seconds. This is not simply an efficiency complaint; it is a measurable breach of a defined service-level commitment.
The architect should map each stakeholder statement to its dominant value pillar before recommending remediation because throughput, organizational transformation, cost control, and SLA compliance require different architectural responses.
Study Guide references/topics: Business-value pillars; efficiency; transformation; solution cost; performance SLAs; stakeholder-outcome classification.
NEW QUESTION # 96
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