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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Stakeholder Communication & Lifecycle Management | 14% | - Solution lifecycle management - Communicating architectural decisions - Architecture documentation - Discovery and requirements gathering - Stakeholder management - Service-level agreements |
| Topic 2: Governance, Safety & Risk Management | 14% | - Regulatory and compliance requirements - AI safety and guardrails - Security and risk management - Human-in-the-loop validation - Ethical AI considerations |
| Topic 3: Evaluation, Testing & Optimization | 16% | - Production monitoring and optimization - System issue diagnosis - Evaluation framework design - A/B testing - Cost and performance optimization - Evaluation metrics and datasets |
| Topic 4: Developer Productivity & Operational Enablement | 7% | - Developer enablement - AI-assisted developer workflows - Claude tooling configuration for teams - Debugging and operational issue resolution |
| Topic 5: Integration | 19% | - Claude integration mechanisms
- RAG pipeline design
|
| Topic 6: Solution Design & Architecture | 17% | - End-to-end architecture design - Multi-agent systems and orchestration - Architectural patterns
- Translating business problems into Claude-based AI solutions - Decomposition techniques for complex problem solving |
| Topic 7: Claude Models, Prompting & Context Engineering | 13% | - Prompt reuse and context engineering strategies - System prompts and prompt templates - Guardrails - Context window optimization - Claude model selection and trade-offs |
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NEW QUESTION # 40
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,B
NEW QUESTION # 41
A Claude architect observes that after a recent model-version upgrade, grounded responses began including claims not supported by the retrieved source documents.
Which mitigation is most directly targeted at this failure mode?
Answer: A
Explanation:
The observed failure is a groundedness defect: the response contains claims that cannot be traced to retrieved evidence. Option A directly constrains generation to the supplied sources, requires visible attribution, and verifies that each material claim has supporting text. Unsupported claims should be removed, qualified, or replaced with an explicit statement that the available sources are insufficient. Regression evaluation in Option B may detect the failure but does not itself prevent unsupported claims. OAuth addresses identity and authorization, while input classifiers address malicious or unsafe retrieved content; neither verifies factual support. Anthropic recommends citations, supporting quotations, and post-generation claim verification to reduce hallucinations in document-grounded applications. Reducing hallucinations
NEW QUESTION # 42
You are defining an SLA for a Claude-based assistant.
Which SLA definition is most operationally meaningful?
Answer: D
Explanation:
An operational SLA must be objectively measurable and enforceable. Option B defines the metric, percentile, threshold, and observation window, allowing both parties to determine whether service performance complied with the agreement. A complete SLA also defines what follows a breach, such as escalation, remediation, service credits, capacity changes, or architectural review. Percentile latency is preferable to an average because it exposes degraded tail performance experienced by a meaningful portion of users. Anthropic provides usage, cost, and operational data that can support monitoring and alerting through the Usage and Cost API . Options A and C are subjective. Option D remains incomplete because neither assessment periods nor breach handling can be applied consistently.
Study Guide references/topics: SLA construction; p95 latency; thresholds; evaluation windows; breach consequences; operational measurement.
NEW QUESTION # 43
A research summarization assistant has been deployed for six months. A user has flagged that a generated summary contained a fabricated citation. The product team has asked whether the incident requires architectural action or whether it is an isolated case.
Which two Diligence-competency actions should you take? (Select two.)
Each correct answer presents part of the solution.
Answer: B,E
Explanation:
A single confirmed fabrication requires investigation, but it does not establish the population-level failure rate. Sampling recent summaries determines prevalence, affected content types, and whether the incident correlates with particular prompts, documents, or model versions. The architecture must also be examined for grounding controls, including source-constrained generation, citation rendering, claim-to-source verification, and rejection of unsupported statements. Anthropic recommends making factual outputs auditable through citations and requiring supporting quotations for important claims. Immediate universal shutdown may become necessary if the risk is severe, but doing so before establishing scope is not the most disciplined first response. Options D and E dismiss evidence without validation and would prevent corrective action.
Reducing hallucinations
NEW QUESTION # 44
You are evaluating retrieval-strategy claims used by a peer team.
For each claim, select yes if the statement is generally accurate. Otherwise, select no.
Answer:
Explanation:
Explanation:
Yes, Yes, Yes, No, No
Dense vector retrieval represents semantic similarity, making it suitable for matching paraphrases and conceptually related language even when the query and source do not share identical words. Sparse lexical retrieval, including BM25-style matching, retains strong sensitivity to exact tokens and is therefore valuable for identifiers, product codes, technical names, and uncommon terminology.
Structured query retrieval is appropriate when the required operation depends on explicit fields, predicates, joins, counts, grouping, or aggregation over a relational schema. In that situation, generating or invoking a constrained database query is more precise than approximating the operation through semantic similarity.
Hybrid retrieval is not identical to dense retrieval. It combines semantic and lexical candidate sets, typically followed by rank fusion or reranking. Anthropic's contextual-retrieval guidance explains that semantic search captures meaning and paraphrases, while BM25 captures exact terminology; combining them improves coverage. Contextual Retrieval , Contextual Retrieval Cookbook Random sampling is not a relevance strategy. It provides no systematic relationship between the query and selected evidence, producing unstable coverage and preventable hallucination risk. Production Q & A requires deterministic or evaluated relevance mechanisms, access filters, suitable indexes, and measurable retrieval metrics such as recall at k .
Study Guide references/topics: Dense retrieval; sparse retrieval; structured queries; hybrid search; rank fusion; retrieval evaluation; production RAG design.
NEW QUESTION # 45
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