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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompting and Task Execution | 14% | - Apply task decomposition techniques to structure complex requests - Adapt prompting strategy by task type - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks |
| Topic 2: Product and Model Selection | 12% | - Manage context limitations and memory - Align model selection with task requirements - Differentiate between Claude model types - Select appropriate Claude product features |
| Topic 3: Output Evaluation and Validation | 21% | - Apply fact-checking and validation techniques - Evaluate Claude-generated outputs for accuracy and completeness - Determine when human review or additional verification is required - Identify hallucinations, inconsistencies, and biases in responses - Organize and curate information and select appropriate output formats - Edit and adapt outputs for the intended audience |
| Topic 4: Configuration and Knowledge Management | 12% | - Maintain and update configurations - Manage uploaded knowledge and connectors - Create effective system-level instructions - Configure Claude Projects with instructions and knowledge sources |
| Topic 5: Governance, Risk, and Responsible Use | 15% | - Follow organizational AI policies and governance standards - Apply data sensitivity, regulatory, and privacy considerations - Identify appropriate and inappropriate use cases - Understand ethical implications of Claude use |
| Topic 6: Troubleshooting and Optimization | 10% | - Identify and diagnose issues with underperforming prompts or poor outputs - Adjust approaches based on feedback and results - Optimize workflows for efficiency and effectiveness |
| Topic 7: Workflow Integration and Solution Design | 16% | - Support solution design through iteration - Analyze requirements and use cases - Integrate Claude into existing workflows and communicate its value and limitations - Use Claude for research, planning, and process optimization |
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NEW QUESTION # 26
As part of a workflow redesign, a process analyst is applying the AI Fluency Framework Delegation competency.
Which two criteria most directly inform Delegation decisions? (Select two.)
Answer: A,B
Explanation:
Options B and E are correct because Delegation requires evaluating both the capabilities needed for a task and the risk created by assigning it to AI. Anthropic defines Delegation as thoughtfully deciding which work should be completed by a human, performed collaboratively, or handled independently by AI. Tasks requiring distinctly human empathy, creativity, contextual judgment, accountability, or value-based decisions are less suitable for complete delegation. Claude may assist, but a human should retain control of the consequential decision.
Reversibility and error consequences are also critical. A low-impact, easily checked draft can generally receive more AI autonomy than an irreversible action or a decision that could materially affect people.
Anthropic's research on workplace AI use similarly reports that employees tend to delegate tasks that are low- stakes and readily verifiable while applying active supervision to high-stakes work.
Workflow age, diagram complexity, and employee seniority are indirect characteristics; they do not establish whether Claude has the required capabilities or whether an error can be safely corrected. An old workflow can still contain unsuitable tasks, and a junior employee may perform highly sensitive work. Thus, B and E provide the most relevant task-level and risk-level criteria. See Anthropic's Delegation lesson and research on workplace AI delegation .
NEW QUESTION # 27
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: A,D
NEW QUESTION # 28
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: C
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 # 29
You are a project manager weighing workflow steps by how much leverage Claude integration provides.
Which workflow step typically offers the greatest Claude leverage in a knowledge-work team?
Answer: B
Explanation:
Under the objective Integrate Claude into existing workflows to augment or redesign workflows , AI integration delivers the highest return on investment when deployed for high-volume synthesis and initial artifact creation paired with human oversight ("human-in-the-loop").
Drafting and synthesizing information across disparate documents (Option C) leverages Claude's core strengths: large context window comprehension, fast text processing, structured summarization, and tone adaptation. A knowledge worker acting as a downstream reviewer can quickly audit, refine, and approve the generated draft, drastically reducing cycle time. In contrast, options involving autonomous high-stakes determinations-such as unreviewed external publications (Option A), binding contractual negotiations (Option B), or final personnel and employment actions (Option D)-violate responsible AI governance principles and represent inappropriate delegation risks where human accountability, legal authority, and contextual judgment cannot be automated.
NEW QUESTION # 30
You are validating evaluation criteria proposed for a Claude-generated business brief.
Which three criteria are valid for evaluating a Claude-generated brief? (Select three.) Each correct answer presents part of the solution.
Answer: A,B,D
Explanation:
Options A, B, and C are correct. The source document incorrectly instructed the reader to select two and omitted Option B, even though Anthropic explicitly recognizes tone and style as valid evaluation dimensions.
The question has therefore been corrected to "Select three."
Factual accuracy measures whether claims faithfully reflect the supplied sources. Style consistency evaluates whether the brief follows the organization's established voice, terminology, and audience expectations.
Format and length compliance determine whether Claude followed explicit deliverable constraints. Together, these criteria cover factual fidelity, audience suitability, and instruction adherence.
Option D is not a sound criterion because an external industry word-count benchmark may have no relationship to the actual business need. The relevant measure is compliance with the requested length and sufficient coverage of the required material. Option E is also invalid as written: an executive summary is required only if the task specification, template, or audience needs call for one. Automatically demanding it would evaluate an unstated requirement.
Anthropic's evaluation documentation identifies task fidelity, relevance, tone and style, context utilization, and other task-specific success criteria as valid dimensions. It also stresses that criteria should be specific, measurable, achievable, and relevant. See Anthropic's official evaluation guidance .
NEW QUESTION # 31
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