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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Product and Model Selection | 12% | - Select appropriate Claude product features - Align model selection with task requirements - Differentiate between Claude model types - Manage context limitations and memory |
| Topic 2: Output Evaluation and Validation | 21% | - Apply fact-checking and validation techniques - Organize and curate information and select appropriate output formats - Edit and adapt outputs for the intended audience - Identify hallucinations, inconsistencies, and biases in responses - Evaluate Claude-generated outputs for accuracy and completeness - Determine when human review or additional verification is required |
| Topic 3: Workflow Integration and Solution Design | 16% | - Integrate Claude into existing workflows and communicate its value and limitations - Support solution design through iteration - Analyze requirements and use cases - Use Claude for research, planning, and process optimization |
| Topic 4: Prompting and Task Execution | 14% | - Iterate prompts to improve output quality - Apply task decomposition techniques to structure complex requests - Adapt prompting strategy by task type - Create effective prompts for business and technical tasks |
| Topic 5: Governance, Risk, and Responsible Use | 15% | - Understand ethical implications of Claude use - Apply data sensitivity, regulatory, and privacy considerations - Identify appropriate and inappropriate use cases - Follow organizational AI policies and governance standards |
| Topic 6: Troubleshooting and Optimization | 10% | - Identify and diagnose issues with underperforming prompts or poor outputs - Adjust approaches based on feedback and results - Optimize workflows for efficiency and effectiveness |
| Topic 7: Configuration and Knowledge Management | 12% | - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources - Manage uploaded knowledge and connectors - Create effective system-level instructions |
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質問 # 163
You are a marketing manager deciding what to include in custom instructions for a writing-focused Project.
Which two items belong in the custom instructions? (Select two.)
Each correct answer presents a complete solution.
正解：B、D
解説：
Project instructions should contain persistent behavioral requirements that apply across the Project's recurring tasks. Option B defines the expected structure and length of typical deliverables, while Option C establishes the organization's brand voice and tonal requirements. Both are stable instructions that Claude should consistently apply across chats.
Option A concerns unrelated internal messages and therefore does not belong in a Project dedicated to external writing deliverables. Option D reflects one reviewer's personal preference rather than an approved organizational standard. Option E can be valuable, but the representative document itself is better stored as Project knowledge or attached reference material. The custom instructions can direct Claude to follow that approved example, but they should not attempt to reproduce an entire sample document unnecessarily.
Anthropic explains that Project instructions are intended to provide project-specific context, workflow guidelines, task requirements, and roles that apply consistently across multiple conversations. Uploaded Project knowledge supplies the source documents and reference examples Claude should consult. Separating durable behavioral rules from supporting reference material makes the configuration easier to maintain and reduces conflicting guidance. Consequently, B and C are the correct instruction-level elements. Anthropic's personalization and Project-instruction guidance
質問 # 164
Before sharing a Claude-generated brief, an analyst is applying the AI Fluency Framework Discernment competency to evaluate it.
Which review best reflects Discernment principles?
正解：B
解説：
Under the objective Evaluate Claude-generated outputs for accuracy and completeness and the AI Fluency Framework Discernment competency, rigorous output evaluation requires systematic verification rather than surface appraisal.
Discernment requires actively auditing AI outputs across three core dimensions: completeness against original prompt requirements, factual fidelity against underlying source documentation, and compliance with domain- specific professional standards (Option D). Relying on surface fluency, elegant style, or subjective plausibility (Option A) creates a false sense of security, as LLMs frequently articulate hallucinations with high confidence. Treating logical flow or tone as proxies for factual accuracy (Option B) skips necessary verification gates. Similarly, spot-checking only the opening and closing paragraphs (Option C) overlooks hallucinations, omissions, or logical flaws buried within the main body.
質問 # 165
You are an analyst working on a one-off complex problem that genuinely requires multi-step reasoning over an extended chain of thought.
Which model is best suited to this work?
正解：B
解説：
Among the models presented in the answer choices, Opus is the best fit for a one-off, highly complex problem requiring sustained multi-step reasoning. Opus models are intended for demanding knowledge work and advanced reasoning where output quality is more important than obtaining the lowest latency or cost.
Anthropic's model guidance distinguishes higher-capability Opus models from balanced Sonnet models and faster, more economical Haiku models. Claude Platform Docs Option A incorrectly prioritizes speed and cost even though the task explicitly requires complex reasoning.
Haiku is more appropriate for high-volume, latency-sensitive, or comparatively straightforward tasks. Option B identifies a genuine advantage of Sonnet-its balance of capability, speed, and cost-but the task is described as sufficiently difficult to justify choosing the stronger reasoning option. Option D is incorrect because model performance does not remain identical as task complexity increases.
Model selection should follow the actual requirements of the work. Important considerations include reasoning depth, accuracy requirements, latency, expected usage volume, and cost. A routine, repeatable classification workflow might favor Haiku, while many everyday professional tasks fit Sonnet. A difficult specialized problem where reasoning quality is the primary concern supports selecting Opus from the available choices.
質問 # 166
A knowledge worker notices that a Claude output may have repeated a confidential financial figure from an internal source that the user was told to treat as restricted. The output has not yet been shared outside the user.
Which immediate action is most appropriate?
正解：D
解説：
Option A is the correct immediate response because potential mishandling of restricted information must be contained, documented, and reported through the organization's established governance process. The user should stop further use or distribution of the output and preserve enough information for an authorized reviewer to understand what occurred, including the prompt, connected or uploaded source, affected output, data classification, and any actions already taken.
Removing the figure from the visible output, as suggested by Option B, does not address whether the information was improperly submitted, retrieved, retained, or exposed elsewhere in the workflow. A private log is not a substitute for an approved incident channel. Starting another conversation under Option C may prevent reuse of the immediate response, but it neither documents nor investigates the possible policy violation. Option D is also unsafe: restricted-data incidents can require reporting even when no external disclosure has yet occurred.
Claude governance depends on human accountability. Users must follow organizational rules governing confidential data rather than deciding individually that an incident is harmless. The designated privacy, security, or AI-governance team can determine severity, required containment, retention implications, and whether further notification or remediation is necessary.
質問 # 167
You are a bank manager presented with a request to use Claude as the sole decision-maker on customer credit- line approvals.
Which response is most appropriate?
正解：A
解説：
Credit-line approval directly affects an individual's financial eligibility and is therefore a high-risk financial decision. Claude may assist analysts by summarizing application information, checking completeness, organizing evidence, or identifying cases requiring further review, but qualified humans must retain final decision authority. Option C provides this augmentation model.
Option A values processing speed over fairness, regulatory compliance, explainability, and accountability.
Option B is unacceptable because compliance and risk controls must be established before production, not after customers are affected. Option D increases the risk by allowing Claude both to decide and communicate a consequential financial determination without professional review.
Anthropic's Usage Policy explicitly identifies loan approvals and creditworthiness determinations as high-risk financial use cases. It requires a qualified professional to review advice, recommendations, or subjective decisions that directly affect consumers before finalization. The organization remains responsible for accuracy and appropriateness. Depending on the deployment, disclosure of AI involvement may also be required.
A compliant workflow should define permitted assistance, require human approval, validate the model's outputs, monitor for disparate impact, document decision rationale, and provide appropriate appeal or correction processes. Claude should augment professional judgment, not replace the accountable decision- maker. Anthropic's high-risk use-case requirements
質問 # 168
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