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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Output Evaluation and Validation | 21% | - Determining when human review or verification is required - Identifying hallucinations, inconsistencies, and bias - Editing, adapting, and refining outputs - Fact-checking and validation - Evaluating output accuracy and completeness |
| Topic 2: Workflow Integration and Solution Design | 16% | - Solution design and iteration - Integrating Claude into existing workflows - Analyzing requirements and use cases - Research, planning, and process optimization - Communicating Claude's value and limitations |
| Topic 3: Troubleshooting and Optimization | 10% | - Diagnosing underperforming prompts and outputs - Adjusting approaches based on feedback and results - Optimizing workflows for efficiency and effectiveness |
| Topic 4: Governance, Risk, and Responsible Use | 15% | - Organizational AI governance and policies - Identifying appropriate and inappropriate AI use cases - Data sensitivity, privacy, and regulatory considerations - Ethical and responsible AI use |
| Topic 5: Configuration and Knowledge Management | 12% | - Managing uploaded knowledge and connectors - Managing instructions and knowledge sources - Configuring Claude Projects - Maintaining configuration and knowledge sources |
| Topic 6: Product and Model Selection | 12% | - Managing context limitations and memory - Balancing quality, speed, and cost - Selecting Claude models - Selecting appropriate Claude product features |
| Topic 7: Prompting and Task Execution | 14% | - Iterating prompts to improve output - Adapting prompting strategies to task types - Creating effective prompts - Task decomposition |
目の前の本当の困難に挑戦するために、君のもっと質の良いAnthropicのCCAO-F問題集を提供するために、私たちはGoShikenのITエリートチームの変動からAnthropicのCCAO-F問題集の更新まで、完璧になるまでにずっと頑張ります。私たちはあなたが簡単にAnthropicのCCAO-F認定試験に合格するができるという目標のために努力しています。あなたはうちのAnthropicのCCAO-F問題集を購入する前に、一部分のフリーな試験問題と解答をダンロードして、試用してみることができます。
質問 # 89
You are a project manager working through a long planning conversation with Claude and must keep the conversation productive as it grows.
Which two practices keep a long planning conversation productive? (Select two.) Each correct answer presents a complete solution.
正解：C、E
解説：
Under the objective Understand, manage context limitations and memory considerations and when to restart, summarize, or persist , managing conversational state across long planning sessions is essential for maintaining output quality and coherence. Large Language Models operate within finite context windows where attention can degrade as extraneous tokens accumulate.
Option B is a best practice because shifting subtopics often dilutes earlier instructions; explicitly restating key constraints and strategic goals ensures the model anchors its attention on active parameters without being distracted by obsolete conversational turns. Option C represents context compression-a core technique where key milestones, agreed parameters, and decisions are consolidated into a dense summary. This reduces token overhead, frees up working memory, and prevents hallucination or drift. Conversely, opening a new thread for every minor question (Option A) fractures contextual continuity, switching topics arbitrarily (Option D) pollutes attention heads, and avoiding summarization (Option E) accelerates context bloat and degrades performance.
質問 # 90
A learning specialist is configuring a Claude Project for a recurring course-design workflow.
Which configuration approach best leverages a Skill alongside other Project elements?
正解：B
解説：
Under the objective Configure Claude Projects with instructions and knowledge sources (Domain 5:
Configuration and Knowledge Management), maximizing the utility of Claude Projects involves harmonizing all built-in platform capabilities: custom instructions, knowledge bases, and specialized Skills.
Option B exemplifies an integrated configuration: packaging procedural execution logic into a Project Skill, uploading pedagogical frameworks and curriculum standards to Project knowledge, and authoring system instructions that explicitly define how Claude should utilize the Skill in conjunction with the knowledge repository. In contrast, creating contradictory instructions (Option A) causes prompt collisions and erratic behavior. Disabling skills (Option C) forces repetitive manual prompt engineering in every chat. Omitting supporting reference knowledge and system instructions (Option D) leaves the Project ungrounded and under- configured.
質問 # 91
You are a content creator. A first response from Claude is accurate but uses inconsistent terminology that does not match your organization's glossary.
Which iterative change addresses the issue most directly?
正解：D
解説：
Under the objective Iterate prompts to improve output quality (Domain 1: Prompting and Task Execution), resolving domain-specific vocabulary inconsistencies requires grounding the prompt with explicit terminology constraints.
When Claude generates accurate conceptual content but uses generic or non-standard synonyms, the most direct prompt refinement is providing the organization's canonical terminology glossary (or uploading it to Project knowledge) accompanied by a strict constraint instructing the model to use only those defined terms (Option D). This eliminates vocabulary drift and guarantees brand consistency. Expanding prompt length (Option A) amplifies terminology discrepancies. Encouraging invented terms (Option B) worsens terminology alignment. Deleting topics from the prompt (Option C) fails the original task requirements.
質問 # 92
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?
正解：C
解説：
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.
質問 # 93
You are a Claude associate running an ethics review on a Claude-assisted deliverable before publication.
Which is the correct order of review steps?
(1) Confirm that transparency requirements are met for the audience receiving the deliverable.
(2) Document the review outcome and any changes made.
(3) Identify the audience and the potential impact of the deliverable on that audience.
(4) Make targeted revisions or escalate if a concern requires more authority to resolve.
(5) Examine the content for unsupported generalizations, fairness concerns, and accuracy issues.
正解：A
解説：
Answer A follows the strongest ethics-review dependency order. First identify the audience and the potential consequences of the deliverable (3), because ethical risk depends on who receives the material and how it may affect them. Next examine the content for unsupported generalizations, fairness problems, and accuracy defects (5). With the audience and substantive risks understood, confirm that the necessary transparency or disclosure requirements are met (1). Then correct the deliverable or escalate concerns that exceed the reviewer's authority (4). Finally, record the review result and all changes made (2), preserving accountability and traceability. The resulting sequence is 3, 5, 1, 4, 2. Option B checks transparency before completing the substantive ethics assessment; Options C and D begin without first establishing the affected audience and impact. Anthropic's AI Fluency framework treats Discernment as critical assessment of AI output and Diligence as responsible, ethical use with human accountability. Anthropic's Usage Policy likewise emphasizes human review and disclosure for high-risk uses. Therefore, an ethics review should move from impact framing, through content assessment and transparency, to remediation and documentation-not merely confirm that an AI disclosure exists and assume the deliverable is safe. Anthropic AI Fluency course , Anthropic Usage Policy
質問 # 94
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