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| Section | Weight | Objectives |
|---|---|---|
| Governance, Risk, and Responsible Use | 15% | - Identify appropriate and inappropriate use cases - Apply data sensitivity, regulatory, and privacy considerations - Understand ethical implications of Claude use - Follow organizational AI policies and governance standards |
| Product and Model Selection | 12% | - Differentiate between Claude model types - Align model selection with task requirements - Select appropriate Claude product features - Manage context limitations and memory |
| Troubleshooting and Optimization | 10% | - Adjust approaches based on feedback and results - Identify and diagnose issues with underperforming prompts or poor outputs - Optimize workflows for efficiency and effectiveness |
| Configuration and Knowledge Management | 12% | - Manage uploaded knowledge and connectors - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources - Create effective system-level instructions |
| Workflow Integration and Solution Design | 16% | - Use Claude for research, planning, and process optimization - Analyze requirements and use cases - Support solution design through iteration - Integrate Claude into existing workflows and communicate its value and limitations |
| Output Evaluation and Validation | 21% | - Determine when human review or additional verification is required - Edit and adapt outputs for the intended audience - Organize and curate information and select appropriate output formats - Apply fact-checking and validation techniques - Evaluate Claude-generated outputs for accuracy and completeness - Identify hallucinations, inconsistencies, and biases in responses |
| Prompting and Task Execution | 14% | - Adapt prompting strategy by task type - Create effective prompts for business and technical tasks - Iterate prompts to improve output quality - Apply task decomposition techniques to structure complex requests |
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NEW QUESTION # 71
A product manager is using Claude to ideate options for a new self-service portal. The team needs breadth before narrowing and will evaluate trade-offs across the options in a separate session.
Which prompting strategy fits this stage?
Answer: A
Explanation:
Answer C is correct. The team is in a divergent ideation stage, where the objective is to explore a broad range of possibilities before selecting or prioritizing an approach. Claude should therefore generate multiple genuinely distinct portal options and identify the relevant benefits, limitations, dependencies, and trade-offs of each. The prompt should explicitly prevent premature selection of a single recommendation because evaluation and narrowing will occur in a separate session.
Option A introduces early feasibility ranking, which can anchor the team on familiar or easily implemented ideas before it has considered the full solution space. Option B immediately narrows the work to one recommendation and directly conflicts with the stated need for breadth. Option D generates several options but then asks Claude to identify a leader, which can similarly bias the team's later evaluation toward that candidate.
Separating divergent and convergent thinking improves the workflow. The first round should maximize meaningful variety and make differences between options visible. The later session can apply agreed criteria such as customer value, accessibility, implementation effort, cost, risk, and strategic alignment. Anthropic's prompting guidance emphasizes giving Claude clear success criteria, relevant context, and explicit output requirements. At this stage, success means diverse, comparable alternatives-not a final decision. Anthropic prompting best practices
NEW QUESTION # 72
A learning specialist is configuring a Project for course-design work. Their organization has an internal instructional-design standard and a preferred output structure for lesson outlines.
Which custom-instruction set best supports this use case?
Answer: C
Explanation:
Option A is correct because effective Project instructions should establish Claude's role, the authoritative standards governing the work, and the expected output structure. These elements create consistent behaviour across the Project's course-design chats. The role establishes the professional perspective Claude should adopt, the instructional-design standard defines the governing methodology, and the lesson-outline structure specifies the required deliverable.
Anthropic explains that Project instructions tell Claude how to behave and respond across every chat within the Project. Consequently, recurring requirements should be placed in Project instructions instead of being manually repeated in each conversation. The organization's instructional-design documentation should also be uploaded to Project knowledge so Claude can reference the actual standard rather than infer it from a brief instruction.
Option B omits a known structural requirement and permits unnecessary variation. Option C supplies the format but not the governing methodology or role context; structure alone cannot communicate the complete instructional standard. Option D defeats the persistence benefit of Projects and increases inconsistency between users and chats.
Individual prompts can still specify lesson-specific objectives, audiences, subjects, and constraints, but the stable role, standards, and output schema belong in the Project-level instructions. See Anthropic's documentation on Project instructions and knowledge and prompting best practices .
Only six genuinely unique questions were found. This is the complete Set 3 batch.
NEW QUESTION # 73
You are a process consultant integrating Claude into an existing weekly workflow.
Which is the correct order of integration steps?
(1) Pilot the integrated workflow with a small group and gather feedback.
(2) Document the current workflow steps, owners, and decision points.
(3) Update the documented workflow and roll it out to the broader team.
(4) Identify the steps where Claude can augment work and where humans must remain.
(5) Define the inputs Claude needs, the outputs Claude returns, and the hand-offs around each step.
Answer: A
Explanation:
Under the objective Integrate Claude into existing workflows to augment or redesign workflows , successfully incorporating AI into established business processes follows a structured systems engineering and change management lifecycle.
The sequence begins with baseline process mapping: documenting current as-is operational steps, role owners, and governance checkpoints (Step 2). Next, practitioners perform task decomposition to identify high- leverage opportunities for Claude augmentation while explicitly designating where human judgment must remain (Step 4). Once target touchpoints are identified, the technical and operational interface must be specified: defining the exact inputs, prompt structures, expected outputs, and hand-off protocols (Step 5).
Before organization-wide adoption, the redesigned workflow is piloted with a representative cohort to gather empirical feedback and address friction points (Step 1). Finally, documentation and standard operating procedures (SOPs) are finalized for broad rollout (Step 3). This establishes the order 2, 4, 5, 1, 3 .
NEW QUESTION # 74
You are a knowledge worker evaluating which Claude feature matches each proposed use case.
Which two feature-to-use-case matches are appropriate? (Select two.)
Each correct answer presents a complete solution.
Answer: B,D
Explanation:
Option A appropriately uses Claude's long-context capabilities for a task involving many source documents.
A quarterly report may require Claude to compare evidence across financial results, operational updates, customer information, and prior reporting periods. Supplying the relevant sources in a well-organized context allows Claude to synthesize the material while following a consistent report structure. Source boundaries and attribution should remain clear so the final output can be validated.
Option E is also an appropriate match. A calculator or code-execution tool is suitable for complex, multi-step pricing calculations because it provides deterministic computation that can be inspected and tested. Claude can structure the calculation and interpret the result, while the tool performs the arithmetic more reliably.
Option B does not require long-context processing because a single short email can normally be handled directly in chat. Option C unnecessarily invokes web search for a stable, established formula that does not require current external information. Option D mismatches the tool to the task: simplifying product language is a writing and audience-adaptation task, not a numerical calculation.
Effective feature selection depends on the actual workload. Large source collections benefit from long-context synthesis, whereas precise arithmetic benefits from deterministic computational tools and explicit result validation.
NEW QUESTION # 75
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: B,D
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 # 76
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