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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Optimization | 10% | - Optimizing workflows for efficiency and effectiveness - Adjusting approaches based on feedback and results - Diagnosing underperforming prompts and outputs |
| Configuration and Knowledge Management | 12% | - Managing instructions and knowledge sources - Configuring Claude Projects - Maintaining configuration and knowledge sources - Managing uploaded knowledge and connectors |
| Governance, Risk, and Responsible Use | 15% | - Identifying appropriate and inappropriate AI use cases - Data sensitivity, privacy, and regulatory considerations - Ethical and responsible AI use - Organizational AI governance and policies |
| Prompting and Task Execution | 14% | - Iterating prompts to improve output - Task decomposition - Adapting prompting strategies to task types - Creating effective prompts |
| Product and Model Selection | 12% | - Managing context limitations and memory - Selecting Claude models - Balancing quality, speed, and cost - Selecting appropriate Claude product features |
| Workflow Integration and Solution Design | 16% | - Solution design and iteration - Analyzing requirements and use cases - Integrating Claude into existing workflows - Communicating Claude's value and limitations - Research, planning, and process optimization |
| Output Evaluation and Validation | 21% | - Determining when human review or verification is required - Evaluating output accuracy and completeness - Fact-checking and validation - Editing, adapting, and refining outputs - Identifying hallucinations, inconsistencies, and bias |
一部のお客様は時間を無駄にしないホワイトカラーの従業員であり、プロモーションを得るために早急にAnthropic認定を必要としますが、他のお客様はスキルの向上を目指している場合があります。そのため、CCAO-Fの質問と回答の異なるバージョンを設定することにより、異なる要件を満たすようにします。特別なものは、オンラインのCCAO-Fエンジンバージョンです。オンラインツールとして、便利で簡単に学習でき、Windows、Mac、Android、iOSなどを含むすべてのWebブラウザとシステムをサポートします。このバージョンのCCAO-F試験問題をすべての電子デバイスに適用できます。
質問 # 95
A customer-success associate is drafting a prompt that asks Claude to summarize a customer issue from the case file. The case file includes the customer's full government identifier, home address, name, account number, and the description of the issue. The summary the associate needs is about the issue.
Which approach is most appropriate?
正解：D
解説：
Under the objective Apply data, privacy sensitivity, regulatory policies, and privacy considerations (Domain 6: Governance, Risk, and Responsible Use), data minimization is a primary privacy requirement.
When processing enterprise documents with AI tools, users must never submit highly sensitive Personally Identifiable Information (PII)-such as national government identifiers (SSNs/National Insurance numbers) or private home addresses-unless strictly required for the analytical task. Because the associate only needs a summary of the core customer problem, redacting or removing those non-essential high-sensitivity fields prior to input ingestion (Option C) enforces sound privacy hygiene. Relying on in-prompt instructions to "ignore" ingested PII (Option A) still exposes raw sensitive tokens to the model context. Swapping identifiers for other sensitive account data (Option B) fails data protection standards.
質問 # 96
You are a project manager reviewing stakeholder messages that teammates have drafted about Claude's role in a workflow.
Which two messages are appropriate for stakeholder communication about Claude? (Select two.) Each correct answer presents part of the solution.
正解：A、C
解説：
Options C and D are correct because responsible stakeholder communication must accurately describe Claude' s role, human accountability, and the integration's limitations. Stakeholders should understand which activities Claude performs, which outputs require verification, who retains decision authority, and what happens when the model produces uncertain, incomplete, biased, or incorrect results. Known failure modes and escalation paths should be communicated in language appropriate to the audience.
Anthropic's AI Fluency Framework defines Diligence as taking responsibility for what people do with AI and how they do it. Anthropic's research also identifies honesty about AI's role and consideration of the consequences of sharing AI-generated work as important AI Fluency behaviours. These principles support transparent descriptions rather than exaggerated capability claims.
Options A and B are inappropriate absolutes. Claude can make factual errors or produce outputs inconsistent with supplied context, so human review cannot be categorically removed. Option E is too vague to support informed trust, accountability, or effective governance. Appropriate communication should neither overstate Claude's reliability nor obscure its contribution. It should describe Claude as a capable assistant operating within defined boundaries, with humans maintaining responsibility for consequential decisions and quality control. See Anthropic's AI Fluency Framework and AI Fluency Index .
質問 # 97
You are organizing connected data sources for a team and must complete the planning steps before authorizing any connection.
Which two planning steps must be completed BEFORE authorizing a new Connector? (Select two.) Each correct answer presents part of the solution.
正解：D、E
解説：
Options A and D are correct because Connector authorization creates a security and data-governance boundary. Before connecting a service, the team must confirm that the provider is trusted and approved under organizational vendor-management requirements. It must also determine what data Claude could access, how that data is classified, and whether the proposed users have legitimate permission to use it.
Anthropic explains that Connectors can retrieve data and take actions in connected services. Claude inherits the user's source-system permissions, while custom Connectors may connect to services that Anthropic has not verified. Anthropic therefore advises users to connect only to trusted servers, carefully review requested permissions, minimize unnecessary scopes, and remain aware that connected tools may read, modify, or delete data. These considerations directly support approved-vendor and data-authorization checks.
Training may be necessary before rollout, but it does not have to be completed before the authorization decision itself. Decommissioning legacy Connectors and migrating reports are implementation or lifecycle activities that ordinarily follow approval and transition planning. They do not replace the initial trust, classification, and permission assessment. Therefore, A and D are the required pre-authorization controls. See Anthropic's Connector overview and custom Connector security guidance .
質問 # 98
A Claude associate is incorporating reviewer feedback that named two specific issues with a Claude-drafted brief. The rest of the brief was accepted as written.
Which next step is most likely to produce a strong revision?
正解：A
解説：
Under the objective Iterate prompts to improve output quality , maintaining control over revisions requires isolating changes to verified defects while preserving approved content.
When downstream reviewers formally approve the vast majority of an artifact and highlight only two specific deficiencies, the optimal revision approach is surgical: instruct Claude or apply edits to remediate those two exact issues while leaving all approved sections untouched (Option C). Documenting the targeted changes ensures total traceability during subsequent review rounds. In contrast, rewriting the entire deliverable from scratch (Option B) risks introducing regressions into previously accepted sections. Similarly, arbitrarily altering unrelated paragraphs (Option A) or bundling unrequested personal improvements (Option D) creates scope creep and increases reviewer overhead.
質問 # 99
You are an operations lead choosing actions when a Claude conversation has degraded in quality.
Which recovery action should be tried first when conversation quality degrades?
正解：D
解説：
Answer A is correct. When a long Claude conversation begins producing less relevant, inconsistent, or lower- quality responses, the first recovery action should be to consolidate the important context. A concise summary should capture the current objective, confirmed decisions, applicable constraints, authoritative facts, unfinished tasks, and required output format. The user can then provide a focused follow-up prompt that clearly states the next action.
This approach removes accumulated conversational noise while preserving useful progress. Long conversations may contain obsolete instructions, abandoned ideas, corrections, and competing requirements that make the current task harder to interpret. A structured summary re-establishes a clean working state without unnecessarily restarting the entire process.
Option B is disproportionate because changing vendors does not diagnose or correct poor context management. Option C adds unnecessary escalation before basic recovery has been attempted. Option D may eventually be appropriate when the conversation is irreparably confused, but immediately discarding all work wastes valid context and completed analysis.
Anthropic's prompting guidance emphasizes clear instructions, relevant context, structured inputs, and explicit task requirements. Summarizing the state and narrowing the next request applies these principles directly. If quality remains poor after this step, the user can then start a new conversation using the summary as its initial context. Anthropic prompting best practices
質問 # 100
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