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| Section | Objectives |
|---|---|
| Topic 1: Enterprise Integration and Production | - Enterprise integration architecture and production readiness - Cost, latency, reliability, and operational design |
| Topic 2: Solution Design | - Claude platform and solution architecture - Model, architecture, context, and deployment strategy selection |
| Topic 3: Stakeholder Engagement and Solution Lifecycle | - Solution lifecycle, handoff, adoption, and operational enablement - Stakeholder discovery and architectural trade-off communication |
| Topic 4: Evaluation and Optimization | - Evaluation design and acceptance criteria - Model and architecture optimization |
| Topic 5: Governance, Safety, and Risk | - Safety controls and fail-closed system design - Security, compliance, risk management, and governance |
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NEW QUESTION # 67
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 # 68
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: C,D
NEW QUESTION # 69
A pilot AI assistant for procurement specialists shows 89 percent first-response acceptance, but follow-up surveys reveal that specialists frequently override the assistant's vendor recommendations after considering criteria the assistant did not evaluate. The pilot owner wants to ship the assistant unchanged because of the strong acceptance rate.
Which two Discernment-competency observations should you raise BEFORE approving the launch? (Select two.)
Answer: A,C
Explanation:
The assistant is making recommendations without considering information that specialists regard as material.
That is a direct input-scope and requirements gap, not merely a presentation issue. The 89 percent acceptance metric is also incomplete because initial acceptance does not reveal whether recommendations remain correct after users apply the omitted criteria. Production readiness requires outcome-focused evaluation, including final recommendation agreement, override reasons, financial impact, supplier risk, and performance across representative procurement scenarios. Options B and E raise possible concerns, but the scenario supplies no evidence that response rate or pilot duration is the demonstrated deficiency. Option A incorrectly treats a single proxy metric as sufficient. Anthropic recommends multidimensional, task-specific success criteria aligned with the actual user outcome. Define success criteria and evaluations
NEW QUESTION # 70
You are reviewing a peer's Claude Code permission rules for an enterprise rollout. The rules grant unrestricted Bash access to all projects across all developers.
Which response is most appropriate?
Answer: B
Explanation:
Unrestricted Bash access exposes filesystem, credential, process, network, package-management, and potentially infrastructure-administration capabilities across every repository. Option C applies least privilege by identifying the commands genuinely required by approved workflows and permitting only those patterns.
Explicit deny rules should protect destructive commands, sensitive files, credential stores, deployment systems, and other prohibited operations.
Anthropic's permission system supports allow, ask, and deny rules, with deny evaluated before ask and allow.
It also warns that command patterns intended to constrain network utilities can be fragile, so stronger controls such as WebFetch domain restrictions, hooks, and sandbox boundaries may be required. Claude Code Permissions Enterprise configuration should combine managed baseline restrictions with project-specific permissions where necessary. High-impact commands should remain subject to confirmation, and sandboxing should provide operating-system-level filesystem and network containment.
Options A and D deliberately enlarge the attack surface. Option B treats configuration simplicity as more important than enterprise security and fails to account for prompt injection, accidental commands, compromised repositories, or excessive human approval. The configuration should be narrow, auditable, centrally governed, and validated against real development workflows.
Study Guide references/topics: Claude Code permissions; Bash restrictions; least privilege; managed controls; explicit deny rules; sandboxing; enterprise rollout security.
NEW QUESTION # 71
You are designing a feedback session for a deployment in flight.
Which structure best supports productive stakeholder feedback?
Answer: B
Explanation:
A structured feedback session must enable informed review, traceable decisions, and accountable follow- through. Option B allows stakeholders to examine architecture diagrams, evaluation results, risk registers, or prototypes before the meeting. The focused agenda keeps discussion aligned with decisions that must be made rather than allowing the session to become an unstructured status conversation. Written decision records prevent different participants from leaving with incompatible interpretations. Assigning an owner and due date to every action converts feedback into executable delivery work. Options A, C, and D depend heavily on memory, provide inadequate preparation time, and create weak decision traceability. In-flight deployments particularly require documented feedback because accepted changes may affect scope, cost, risk, testing, and release timing.
Study Guide references/topics: Stakeholder feedback; decision records; action ownership; lifecycle alignment; communication planning.
NEW QUESTION # 72
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