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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Output Evaluation and Validation | 21% | - Identifying hallucinations, inconsistencies, and bias - Evaluating output accuracy and completeness - Editing, adapting, and refining outputs - Determining when human review or verification is required - Fact-checking and validation |
| Topic 2: Product and Model Selection | 12% | - Selecting appropriate Claude product features - Balancing quality, speed, and cost - Selecting Claude models - Managing context limitations and memory |
| Topic 3: Prompting and Task Execution | 14% | - Task decomposition - Iterating prompts to improve output - Creating effective prompts - Adapting prompting strategies to task types |
| Topic 4: Configuration and Knowledge Management | 12% | - Configuring Claude Projects - Managing uploaded knowledge and connectors - Managing instructions and knowledge sources - Maintaining configuration and knowledge sources |
| Topic 5: Governance, Risk, and Responsible Use | 15% | - Ethical and responsible AI use - Identifying appropriate and inappropriate AI use cases - Data sensitivity, privacy, and regulatory considerations - Organizational AI governance and policies |
| Topic 6: Troubleshooting and Optimization | 10% | - Optimizing workflows for efficiency and effectiveness - Adjusting approaches based on feedback and results - Diagnosing underperforming prompts and outputs |
| Topic 7: Workflow Integration and Solution Design | 16% | - Integrating Claude into existing workflows - Solution design and iteration - Communicating Claude's value and limitations - Research, planning, and process optimization - Analyzing requirements and use cases |
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NEW QUESTION # 64
You are an operations manager preparing a quick reference card for a team.
Which description correctly characterizes the three Claude model tiers in general terms?
Answer: B
Explanation:
Under the objective Differentiate between Claude model types (e.g., Haiku, Sonnet, Opus) (Domain 3:
Product and Model Selection), Anthropic structures its model family across three clear tiers of intelligence, latency, and cost:
* Claude Haiku : The fastest, most cost-efficient, and lightweight model designed for high-volume, low- latency tasks and simple classification.
* Claude Sonnet : The balanced, versatile enterprise workhorse combining high intelligence and throughput for everyday knowledge-work tasks.
* Claude Opus : The frontier model offering deep reasoning and analytical capacity for complex, multi- step problem solving at higher latency and operational cost.
Option C perfectly summarizes these structural trade-offs. Options A, B, and D misrepresent the capability hierarchy, speed profiles, and architectural tiering of the Claude family.
NEW QUESTION # 65
Before uploading a customer file for a Code Execution analysis, a customer-success associate at Noventra, Ltd. is reviewing the planned task.
Which two practices best align with sound data handling? (Select two.)
Answer: A,B
Explanation:
Options B and E apply organizational governance and data-minimization requirements before the file enters Claude's execution environment. The associate must first establish whether Code Execution is an approved processing method for the file's classification. If the information exceeds the approved sensitivity level, the user must escalate to privacy, security, legal, or another designated authority rather than proceeding independently.
The file must also be inspected for customer identifiers, confidential fields, regulated information, credentials, or data unrelated to the calculation. Unnecessary fields should be removed, redacted, or anonymized. A sandbox limits interaction with the surrounding system, but it does not change the sensitivity of uploaded data, provide authorization, or override the organization's handling rules. Therefore, Options C and D incorrectly treat technical isolation as a governance exemption. Option A allows urgency to displace mandatory review.
Anthropic explains that Code Execution runs in an isolated container, while also warning that file-processing configurations and network access create security considerations. Its privacy guidance recommends careful treatment of highly sensitive personal and confidential information. The correct control is to minimize and authorize the data before uploading it, not rely solely on the sandbox afterward. Anthropic's Code Execution security guidance
NEW QUESTION # 66
You are a customer-success manager considering whether to escalate a Claude-generated response.
Which factor most strongly raises the impact of the output and supports escalation before external use?
Answer: A
NEW QUESTION # 67
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: C,E
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 # 68
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,D
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 # 69
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