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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting and Optimization | 10% | - Diagnose context and performance issues - Adjust prompts and configuration to improve results - Identify causes of poor or unexpected outputs |
| Topic 2: Configuration and Knowledge Management | 12% | - Maintain consistent system-level behavior - Configure Claude Projects with instructions - Manage knowledge sources and context |
| Topic 3: Product and Model Selection | 12% | - Match model capabilities to task requirements - Understand model differences and use cases - Select appropriate Claude product features |
| Topic 4: Prompting and Task Execution | 14% | - Iterate prompts to improve output quality - Adapt prompting strategies by task type - Apply task decomposition to structure complex requests - Create effective prompts for business and technical tasks |
| Topic 5: Output Evaluation and Validation | 21% | - Evaluate outputs for accuracy, completeness, and consistency - Detect hallucinations, biases, and inconsistencies - Apply fact-checking and validation methods - Determine when human review is required |
| Topic 6: Governance, Risk, and Responsible Use | 15% | - Understand limitations and ethical boundaries - Manage data sensitivity and privacy risks - Apply responsible AI principles and policies |
| Topic 7: Workflow Integration and Solution Design | 16% | - Integrate Claude into existing business workflows - Design AI-assisted processes and solutions - Plan end-to-end Claude-augmented workflows |
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NEW QUESTION # 106
You are a communications specialist preparing to describe Claude's role in a workflow to multiple stakeholder groups and must complete the preparation steps before drafting messages.
Which two preparation steps must be completed BEFORE drafting the stakeholder messages? (Select two.) Each correct answer presents part of the solution.
Answer: D,E
Explanation:
Under the Claude objective Communicate Claude's value and limitations to stakeholders , crafting effective change-management and enablement communications requires establishing core positioning and audience segmentation prior to drafting content.
Before composing stakeholder updates, the specialist must first define the core ground truth: what specific operational role Claude plays, what tasks it augments, and what strict boundaries or limitations exist (Option C), including human review requirements and non-delegable tasks. Simultaneously, the specialist must segment audience cohorts (e.g., leadership, end users, compliance teams) to identify their distinct concerns, technical familiarity, and required takeaways (Option B). Establishing these two pillars ensures that communications are accurate, targeted, and set realistic expectations. Post-drafting activities such as sending materials (Option D), archiving (Option A), or hosting follow-up forums (Option E) occur only after foundational messaging is developed.
NEW QUESTION # 107
You are an HR specialist reviewing model choices made by colleagues for various tasks.
Which two model choices represent appropriate matches between the model and the task? (Select two.) Each correct answer presents a complete solution.
Answer: A,C
Explanation:
Under the objective Align model selection with task requirements (e.g., cost, speed, quality) , deploying models effectively requires matching model cognitive capacity to task complexity and throughput requirements.
Option C correctly routes complex, multi-layered tasks-such as synthesizing intricate legal precedents, statutory compliance, or multi-step policy analysis-to high-capability models (e.g., Claude 3 Opus or Sonnet) where deep reasoning is essential. Option E correctly routes simple, high-frequency, low-complexity tasks-such as standard FAQ lookups-to light, fast models (e.g., Claude 3 Haiku) to achieve ultra-low latency and minimal cost per request. Conversely, choosing models purely based on cost (Option A) is inefficient, deploying large frontier models for simple keyword extraction (Option B) wastes financial and rate-limit budgets, and assigning complex strategic synthesis across many documents to lightweight models (Option D) leads to shallow analysis and missed nuances.
NEW QUESTION # 108
A Claude associate is reviewing a Claude-drafted set of customer-segment descriptions for an internal marketing brief. One description applies a generalization about a demographic group's purchasing behavior that does not hold for individual customers in the segment.
Which response is most appropriate?
Answer: D
Explanation:
Option B removes the unsupported demographic generalization and replaces it with evidence-based behavioral analysis. A useful customer segment should be grounded in observable factors-such as purchase frequency, product usage, channel preference, or demonstrated needs-rather than assumptions about how members of a demographic group supposedly behave.
Internal distribution does not eliminate bias risk. An internal marketing brief may influence targeting, product decisions, resource allocation, or customer treatment. Therefore, Option A is incorrect. Option C is unnecessarily broad because responsible segmentation remains possible when criteria are relevant, lawful, and supported by data. Option D preserves the biased claim and merely adds a disclaimer; acknowledging that a generalization is unreliable does not make it appropriate to retain.
The reviewer should identify the unsupported statement, examine the underlying evidence, replace group- level assumptions with validated patterns, and test whether the revised description unfairly disadvantages or misrepresents customers. Anthropic's Usage Policy prohibits promoting discriminatory practices based on protected or identifying attributes and emphasizes responsible handling of potentially biased outputs. AI Fluency Discernment similarly requires users to assess the usefulness, limitations, and consequences of generated material rather than accepting plausible wording uncritically. Anthropic's Usage Policy
NEW QUESTION # 109
You are reviewing a Claude-generated report whose tone is confident throughout.
Which question best separates plausibility from verification?
Answer: A
Explanation:
Option A is correct because confident language, logical flow, and professional formatting do not establish factual accuracy. Verification requires checking whether each material claim is supported by a credible external source or by the authoritative input supplied for the task. Claims that cannot be traced should be removed, qualified as uncertain, or subjected to additional research.
Anthropic warns that even advanced Claude models can generate information that is factually incorrect or inconsistent with the provided context. Its recommended safeguards include allowing Claude to acknowledge uncertainty, grounding factual work in direct quotations, requiring citations, and checking whether supporting evidence actually establishes each claim. A citation must also be evaluated for relevance and credibility; merely attaching a source does not prove that the source supports the precise statement.
Options B, C, and D assess presentation characteristics rather than verification. Length and section count do not prove completeness, a strong opening does not validate the conclusion, and varied sentence structure concerns writing style. A plausible response can satisfy all three while containing unsupported assertions.
Consequently, claim-level traceability is the decisive test separating an answer that merely sounds credible from one that has been verified. See Anthropic's hallucination-reduction and citation guidance .
NEW QUESTION # 110
A communications manager is drafting a prompt for Claude to produce a quarterly newsletter for store managers in three regions. The agreed key messages, regional details, and a prior newsletter the team liked are all available.
Which prompt approach is most likely to produce a usable first draft?
Answer: D
Explanation:
Under the objective Create effective prompts for business and technical tasks , Anthropic's core prompt engineering principle emphasizes being explicit, direct, and providing complete structural constraints rather than relying on implicit document matching.
Option D establishes all essential prompt components directly within the prompt itself: explicitly defining the target audience (store managers), geographic scope (three regions), length constraints, tone guidelines, and the core messaging points, while treating the historical newsletter as a calibrated few-shot tone reference. This explicit framing eliminates ambiguity and prevents the model from copying obsolete structure or irrelevant sections from the historical document. In contrast, Option A relies excessively on broad pattern-matching against an attachment without providing explicit parameter boundaries in the prompt body. Option B lacks structural and tonal detail, while Option C delegates tone and length decisions entirely to the model.
NEW QUESTION # 111
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