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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Product and Model Selection | 12% | - Differentiate between Claude model types - Select appropriate Claude product features - Manage context limitations and memory - Align model selection with task requirements |
| Topic 2: Governance, Risk, and Responsible Use | 15% | - Identify appropriate and inappropriate use cases - Understand ethical implications of Claude use - Apply data sensitivity, regulatory, and privacy considerations - Follow organizational AI policies and governance standards |
| Topic 3: Configuration and Knowledge Management | 12% | - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources - Create effective system-level instructions - Manage uploaded knowledge and connectors |
| Topic 4: Prompting and Task Execution | 14% | - Create effective prompts for business and technical tasks - Adapt prompting strategy by task type - Apply task decomposition techniques to structure complex requests - Iterate prompts to improve output quality |
| Topic 5: Output Evaluation and Validation | 21% | - Edit and adapt outputs for the intended audience - Apply fact-checking and validation techniques - Evaluate Claude-generated outputs for accuracy and completeness - Identify hallucinations, inconsistencies, and biases in responses - Determine when human review or additional verification is required - Organize and curate information and select appropriate output formats |
| Topic 6: Workflow Integration and Solution Design | 16% | - Analyze requirements and use cases - Use Claude for research, planning, and process optimization - Integrate Claude into existing workflows and communicate its value and limitations - Support solution design through iteration |
| Topic 7: Troubleshooting and Optimization | 10% | - Adjust approaches based on feedback and results - Optimize workflows for efficiency and effectiveness - Identify and diagnose issues with underperforming prompts or poor outputs |
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NEW QUESTION # 111
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 # 112
You are an HR specialist sorting potential ethical risks of a Claude-supported workflow.
Which two risks pose the highest ethical concern in an HR-adjacent workflow? (Select two.) Each correct answer presents a complete solution.
Answer: B,C
Explanation:
Under the objective Understand ethical implications of AI usage , evaluating HR workflows requires identifying systemic harms, legal compliance liabilities, and threats to employee rights.
Option A highlights the ethical danger of autonomous algorithmic decision-making: delegating high-stakes determinations (such as termination, performance ratings, or compensation) to an AI system without accountable human oversight violates fundamental fairness and labor ethics. Option E represents severe algorithmic bias and discrimination: generating outputs that systematically disadvantage candidates or employees based on protected characteristics (e.g., race, gender, age, disability). Both scenarios represent critical ethical risks. Conversely, minor clerical typos in calendar invites (Option B), formatting irregularities in general announcements (Option C), and punctuation style inconsistencies (Option D) are minor operational defects that carry zero ethical or regulatory consequences.
NEW QUESTION # 113
A project lead is evaluating a Claude-generated status report against the project charter. The report will be delivered to a steering committee, which expects accurate status against committed milestones.
Which set of criteria provides the strongest evaluation frame?
Answer: A
Explanation:
Explanation:
NEW QUESTION # 114
A Claude associate is applying the AI Fluency Framework Diligence competency to ongoing Claude usage.
Which practice best reflects Diligence in a governance context?
Answer: B
Explanation:
Answer A is correct. Within the AI Fluency Framework, Diligence means taking responsibility for how AI is used and for the consequences of that use. In a governance context, this requires employees to apply organizational policies consistently during everyday work, monitor whether actual practices remain aligned with those policies, and correct deficiencies when they are identified. Governance is therefore an ongoing operational responsibility rather than a one-time administrative exercise.
Option B is incorrect because compliance cannot be limited to visible or formally reviewed activities.
Selective application creates unmanaged risks and indicates that governance has not become part of normal professional conduct. Option C describes useful onboarding and documentation activities, but completing training does not demonstrate continuing compliance. Policies must also be followed during real tasks and revisited as workflows, risks, and organizational requirements change. Option D is incorrect because a compliance team can define standards and provide oversight, but individual users remain responsible for applying those standards when using Claude.
The strongest practice combines consistent policy application, active identification of gaps, and corrective action over time. Anthropic defines Diligence as taking responsibility for what people do with AI and how they do it, which directly supports Answer A. Anthropic AI Fluency Framework
NEW QUESTION # 115
You are reviewing colleagues' responses to feedback received on Claude-drafted communications.
Which two feedback responses are productive? (Select two.)
Each correct answer presents a complete solution.
Answer: A,C
Explanation:
Options C and D are correct because productive feedback handling requires clarification, traceability, and controlled revision. When feedback is ambiguous, the writer should confirm the reviewer's intent before changing the draft. Otherwise, an incorrect interpretation may introduce new problems or remove content the reviewer intended to preserve.
Mapping each feedback item to a specific revision creates an auditable record showing what changed and why. It also helps identify unresolved comments, conflicting requests, and recommendations that were deliberately declined. This approach supports systematic comparison between the original and revised outputs.
Option A is inappropriate because contradictory suggestions cannot always be implemented simultaneously; the conflict must first be resolved by the appropriate reviewer or decision-maker. Option B postpones potentially material corrections without justification. Option E incorrectly assumes that Claude-generated text deserves automatic acceptance. Claude's output must be evaluated using the same professional, factual, and audience-specific standards applied to human-created content.
Anthropic's Description-Discernment process recommends assessing Claude's output, providing specific feedback, requesting targeted revisions, and applying human expertise and judgment to the final result.
Therefore, clarification and feedback-to-change traceability are the two productive responses. See Anthropic's Description-Discernment Loop and evaluation guidance .
NEW QUESTION # 116
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