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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Product and Model Selection | 12% | - Match model capabilities to task requirements - Understand model differences and use cases - Select appropriate Claude product features |
| Topic 2: Prompting and Task Execution | 14% | - Apply task decomposition to structure complex requests - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks - Adapt prompting strategies by task type |
| Topic 3: Output Evaluation and Validation | 21% | - Determine when human review is required - Apply fact-checking and validation methods - Detect hallucinations, biases, and inconsistencies - Evaluate outputs for accuracy, completeness, and consistency |
| Topic 4: Troubleshooting and Optimization | 10% | - Identify causes of poor or unexpected outputs - Diagnose context and performance issues - Adjust prompts and configuration to improve results |
| Topic 5: Governance, Risk, and Responsible Use | 15% | - Understand limitations and ethical boundaries - Manage data sensitivity and privacy risks - Apply responsible AI principles and policies |
| Topic 6: 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 |
| Topic 7: 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 # 70
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: A
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 # 71
You are a compliance specialist applying the organization's policy to a proposed Claude use case.
Which policy-application step should be performed first?
Answer: C
Explanation:
Answer A is correct. Policy application must begin by identifying the provisions that govern the proposed Claude use case. The specialist first needs to understand the use case's purpose, users, data, affected individuals, intended outputs, level of automation, and potential consequences. These characteristics determine which organizational requirements concerning privacy, security, human oversight, acceptable use, regulated activities, and recordkeeping are applicable.
After identifying the relevant provisions, the specialist compares the proposed use case against those requirements, corresponding to Option D. Based on that assessment, the specialist can approve the use case, require modifications or safeguards, or reject it, as described in Option B. The use case, analysis, controls, and final decision should then be recorded in the compliance register, corresponding to Option C. The logical sequence is therefore A, D, B, and C.
Starting with approval would be premature because no compliance analysis has occurred. Similarly, a meaningful comparison cannot be completed until the applicable provisions have been identified.
Documentation is important, but it records the assessment and decision rather than replacing them. Correct policy application therefore begins with scope determination and proceeds through comparison, decision, and documentation. This supports consistent governance and an auditable decision trail. Anthropic Usage Policy
NEW QUESTION # 72
An HR team member is reviewing a Claude-drafted set of interview questions intended for use across all candidates for a single role. The questions will be asked in the same order to every candidate.
Which review practice best supports fairness?
Answer: A
Explanation:
Under the objective Understand ethical implications of AI usage , applying AI in human resources demands rigorous bias auditing to ensure fair, standardized, and legally defensible evaluation practices.
Structured interviewing requires that questions focus strictly on observable, job-related competencies and avoid implicit assumptions or biased phrasing that could systematically disadvantage candidates from diverse non-traditional backgrounds (Option A). Human review must verify that Claude-generated questions remain objective, relevant, and standardized across applicants. Assuming AI outputs are unbiased by default and checking only stylistic tone (Option B) introduces compliance and equity risks. Injecting unstructured, ad-hoc questions per candidate (Option C) or scrambling question order inconsistently (Option D) undermines standardization and equitable scoring across applicant pools.
NEW QUESTION # 73
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,E
NEW QUESTION # 74
You are writing system-level instructions for a Project that supports recurring writing tasks.
Which step should be performed first when writing the system-level instructions?
Answer: C
Explanation:
Under the objective Create effective system-level instructions (Domain 5: Configuration and Knowledge Management), engineering project-level system instructions follows a top-down operational framework.
Before authoring specific formatting rules, edge-case handlers, or role prompts, the author must first establish the high-level boundary architecture: defining the core objective and purpose of the Project, the target audience, and the explicit constraints/guardrails the model must respect (Option C). These foundational boundaries dictate what the model should do, what it must refuse or escalate, and how it must interact with attached reference knowledge. Attempting to validate instructions against test requests (Option B) or iteratively refine them (Option A) requires a drafted system prompt to exist first. Distributing instructions to team collaborators (Option D) is the final operational rollout step after validation is complete.
NEW QUESTION # 75
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