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| Section | Weight | Objectives |
|---|---|---|
| Prompting and Task Execution | 14% | - Creating effective prompts - Adapting prompting strategies to task types - Iterating prompts to improve output - Task decomposition |
| Troubleshooting and Optimization | 10% | - Diagnosing underperforming prompts and outputs - Optimizing workflows for efficiency and effectiveness - Adjusting approaches based on feedback and results |
| Governance, Risk, and Responsible Use | 15% | - Data sensitivity, privacy, and regulatory considerations - Identifying appropriate and inappropriate AI use cases - Ethical and responsible AI use - Organizational AI governance and policies |
| Configuration and Knowledge Management | 12% | - Maintaining configuration and knowledge sources - Managing uploaded knowledge and connectors - Managing instructions and knowledge sources - Configuring Claude Projects |
| Output Evaluation and Validation | 21% | - Identifying hallucinations, inconsistencies, and bias - Fact-checking and validation - Determining when human review or verification is required - Evaluating output accuracy and completeness - Editing, adapting, and refining outputs |
| Workflow Integration and Solution Design | 16% | - Analyzing requirements and use cases - Integrating Claude into existing workflows - Solution design and iteration - Research, planning, and process optimization - Communicating Claude's value and limitations |
| Product and Model Selection | 12% | - Selecting Claude models - Balancing quality, speed, and cost - Selecting appropriate Claude product features - Managing context limitations and memory |
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NEW QUESTION # 140
A project manager is transforming a Claude-generated draft into a polished board memo. The board reads the memo before the meeting and expects it to be scannable, factually verified, and consistent with the organization's standard terminology.
Which set of refinements is most appropriate?
Answer: B
Explanation:
Under the objective Edit, adapt, refine, and compare the output generated by Claude model(s) for the intended audience (Domain 2: Output Evaluation and Validation), preparing deliverables for executive boards requires comprehensive structural, linguistic, and factual refinement.
Option A covers all four essential post-generation refinement criteria: applying standardized heading hierarchies for visual navigation, condensing prose to maximize executive scanability, aligning terminology with enterprise glossaries, and rigorously validating every metric and claim against primary source records.
Expanding narrative sections unnecessarily (Option B) reduces scanability for board members. Ignoring heading structure and vocabulary alignment (Option C) produces an unpolished deliverable. Relying blindly on the model's internal factual correctness without external verification (Option D) introduces governance and hallucination risks into board-level decisions.
NEW QUESTION # 141
You are a business analyst reviewing prompt drafts written by teammates.
Which two elements belong in a well-structured prompt for a business task? (Select two.) Each correct answer presents part of the solution.
Answer: B,D
Explanation:
Options A and B are correct because Claude needs a clear task and the context required to perform that task appropriately. The prompt should state the requested action using direct language-for example, summarize, compare, classify, draft, calculate, or recommend. It should then provide relevant information such as the intended audience, business objective, authoritative sources, constraints, success criteria, and required output format.
Anthropic's prompting guidance emphasizes clarity, specificity, contextual grounding, and explicit formatting instructions. Audience and purpose are particularly important in business tasks because the same underlying information may need very different treatment for executives, customers, technical teams, or regulators.
Option C can be useful when an approachable tone is genuinely required, but it is not an essential element of every structured business prompt. Tone should be selected according to the task rather than added automatically. Option D introduces excessive and potentially irrelevant information; only products or services relevant to the task should be included. Option E similarly adds noise unless the anecdote supplies necessary factual context or illustrates the desired output.
Therefore, a clear task statement and relevant goal-and-audience context form the indispensable foundation.
See Anthropic's prompting best practices .
NEW QUESTION # 142
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: A
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 # 143
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,D
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 # 144
You are reviewing items proposed for inclusion in a Project that supports policy summaries.
Which two items are appropriate to include in the Project? (Select two.) Each correct answer presents part of the solution.
Answer: A,B
Explanation:
Under the objective Configure Claude Projects with instructions and knowledge sources , curating Project scope requires adding only persistent, relevant reference assets while maintaining strict boundaries against unrelated context.
Option A represents foundational system instructions and prompt scaffolding: specifying target formatting schemas, structural sections, and audience expectations ensures consistent, repeatable policy summaries across all chats. Option B provides the canonical ground truth: uploading the current active policy documentation into the Project knowledge base gives Claude the direct reference material needed to generate factually grounded summaries. In contrast, uploading general presentation slide decks (Option C) injects unneeded token overhead. Including active legal case files (Option D) or employee onboarding records from unrelated workflows (Option E) causes context bleed, violates data compartmentalization principles, and wastes context window capacity.
NEW QUESTION # 145
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