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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Optimization | 10% | - Diagnose context and performance issues - Identify causes of poor or unexpected outputs - Adjust prompts and configuration to improve results |
| Governance, Risk, and Responsible Use | 15% | - Understand limitations and ethical boundaries - Manage data sensitivity and privacy risks - Apply responsible AI principles and policies |
| Prompting and Task Execution | 14% | - Iterate prompts to improve output quality - Adapt prompting strategies by task type - Create effective prompts for business and technical tasks - Apply task decomposition to structure complex requests |
| Workflow Integration and Solution Design | 16% | - Design AI-assisted processes and solutions - Integrate Claude into existing business workflows - Plan end-to-end Claude-augmented workflows |
| Output Evaluation and Validation | 21% | - Evaluate outputs for accuracy, completeness, and consistency - Apply fact-checking and validation methods - Detect hallucinations, biases, and inconsistencies - Determine when human review is required |
| Product and Model Selection | 12% | - Select appropriate Claude product features - Match model capabilities to task requirements - Understand model differences and use cases |
| Configuration and Knowledge Management | 12% | - Maintain consistent system-level behavior - Manage knowledge sources and context - Configure Claude Projects with instructions |
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NEW QUESTION # 17
The first output from Claude is partially useful but has tone and detail issues.
Which two refinement actions are most likely to produce a meaningfully better output? (Select two.) Each correct answer presents a complete solution.
Answer: A,E
Explanation:
Option A directly addresses the tone problem by specifying both the required voice and the audience for whom the response is being written. Audience context helps Claude determine vocabulary, technical depth, formality, and emphasis. Option B addresses ambiguity by providing a concrete example that demonstrates the desired structure, detail level, tone, and overall quality.
Option C may produce superficial variation, but it does not correct the prompt's underlying deficiencies.
Option D supplies no actionable description of what must improve. Option E increases output variability without clarifying the missing tone or detail requirements and may make results less consistent.
Prompt iteration should be diagnostic. The user should identify the specific defect, modify one or more prompt elements that control that defect, generate a new output, and compare it with the original success criteria. If the response remains too general, the next revision might add required sections, source material, minimum depth, or an evaluation rubric.
Anthropic's prompting guidance recommends clear instructions, relevant context, examples, and explicit output requirements. Examples are particularly useful when the intended standard is difficult to describe abstractly. A and B therefore introduce information Claude can act upon, while the other choices merely repeat or randomize the same insufficient instruction. Anthropic's prompt-engineering guidance
NEW QUESTION # 18
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,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 # 19
While preparing stakeholder communication about a proposed Claude use case, a senior manager is applying the AI Fluency Framework Description competency.
Which framing best reflects Description principles for stakeholder communication?
Answer: B
Explanation:
Option C is correct because effective Description communicates the intended product, process, and collaborative expectations accurately. Stakeholders need to know what Claude will do, what inputs it requires, which outputs it can produce reliably, where errors or limitations may occur, and which decisions or reviews remain under human ownership. The explanation should be calibrated to the audience: executives may need business value and risk boundaries, while operational or technical users may require workflow details and validation requirements.
Option A conceals a material governance control and could lead stakeholders to misunderstand Claude's autonomy. Option B is not responsible simply because it is conservative; systematically understating capabilities can produce poor decisions and unjustified resistance. Option D is plainly inappropriate because exaggerated claims create unrealistic expectations and weaken informed oversight.
Anthropic defines Description as effectively communicating goals to produce useful AI behaviour and outputs. Its guidance distinguishes Product Description, Process Description, and Performance Description.
Transparent stakeholder framing also supports Diligence by preserving accountability for how AI is represented and used. Therefore, balanced communication about capabilities, limitations, and human oversight is the only defensible framing. See Anthropic's AI Fluency Description lesson and AI Fluency Framework .
NEW QUESTION # 20
You are an operations lead sorting proposed Claude use cases according to whether they are acceptable for your team to pursue.
Which two proposed use cases are acceptable for the team to pursue with Claude? (Select two.) Each correct answer presents a complete solution.
Answer: B,E
Explanation:
Answers B and C are the two acceptable use cases as written. Drafting an internal training summary from approved documentation is a bounded synthesis task grounded in authorized sources. Synthesizing themes from approved customer feedback under established aggregation rules is likewise a controlled analysis task, provided the data handling follows organizational privacy requirements. Both activities support human work without assigning Claude a consequential decision about an individual. Option D feeds performance-review information into a promotion process, an employment-related high-risk domain requiring formal controls and accountable human judgment. Options A and E involve healthcare and legal work. Anthropic's current Usage Policy does not categorically ban those domains, but it requires qualified professional review for high-risk advice or decisions and requires disclosure when outputs are presented directly to consumers. The brief wording in A and E mentions professional review but does not establish the complete safeguards, authorization, privacy handling, or disclosure needed to treat the workflow as approved. Therefore, they are not unconditionally acceptable "as stated." Anthropic's AI Fluency Delegation principle also requires considering consequences, reversibility, and the human capabilities that must remain in the process. B and C are the only choices that fully specify low-risk, policy-bounded knowledge work without relying on unstated safeguards. Anthropic Usage Policy
NEW QUESTION # 21
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 # 22
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