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Anthropic CCAO-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Workflow Integration and Solution Design | 16% | - Support solution design through iteration - Use Claude for research, planning, and process optimization - Analyze requirements and use cases - Integrate Claude into existing workflows and communicate its value and limitations |
| Topic 2: 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 3: Configuration and Knowledge Management | 12% | - Manage uploaded knowledge and connectors - Create effective system-level instructions - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources |
| Topic 4: Governance, Risk, and Responsible Use | 15% | - Understand ethical implications of Claude use - Follow organizational AI policies and governance standards - Apply data sensitivity, regulatory, and privacy considerations - Identify appropriate and inappropriate use cases |
| Topic 5: Output Evaluation and Validation | 21% | - Determine when human review or additional verification is required - Evaluate Claude-generated outputs for accuracy and completeness - Edit and adapt outputs for the intended audience - Apply fact-checking and validation techniques - Organize and curate information and select appropriate output formats - Identify hallucinations, inconsistencies, and biases in responses |
| Topic 6: Product and Model Selection | 12% | - Select appropriate Claude product features - Manage context limitations and memory - Differentiate between Claude model types - Align model selection with task requirements |
| Topic 7: 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 |
Anthropic Claude Certified Associate-Foundations Sample Questions:
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?
- A. Continue using the output for the intended internal purpose, since the figure has not left the user's possession and no external disclosure has occurred.
- B. Stop using the output and start a new chat with a more carefully scoped prompt, since the issue is resolved as long as the original output is not used.
- C. Edit the output to remove the figure, save the edited version for the intended use, and document the change in a personal log without involving the governance channel.
- D. Stop using the output, document the issue-including the prompt and the source-and report it through the documented governance or incident channel.
Correct Answer: D 🗳️
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A knowledge worker is preparing to use the Gmail connector with Claude for the first time.
Which statement most accurately describes the connector's behavior at the user level?
- A. Claude searches and reads emails the user has access to in a read-only mode, and the user must compose any reply manually outside the connector.
- B. Claude searches and reads emails the user has access to and drafts replies for the user to send manually, with each action requiring explicit user approval.
- C. Claude searches and reads emails the user has access to and sends replies on the user's behalf for low- risk messages, with higher-risk messages routed to the user for approval.
- D. Claude searches and reads emails the user has access to and labels them according to user-defined rules, with reply drafting handled in a separate workflow.
Correct Answer: B 🗳️
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You are reviewing colleagues' responses to feedback received on Claude-drafted communications.
Which two feedback responses are productive? (Select two.)
Each correct answer presents a complete solution.
- A. Deferring all feedback to a later revision cycle to avoid disrupting the current draft's consistency
- B. Declining to revise sections generated by Claude on the basis that the model's output should be trusted as written
- C. Asking clarifying questions when feedback is ambiguous before acting on it
- D. Incorporating all feedback received, including contradictory suggestions, into the next draft simultaneously
- E. Mapping each piece of feedback to the specific change made in the next draft
Correct Answer: C,E 🗳️
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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?
- A. Name Claude's role as a course designer; let each chat prompt specify the standards and output structure for that lesson, since lessons vary widely.
- B. Name Claude's role as a course designer, require alignment with the organization's instructional-design standards, and specify the preferred output structure for lesson outlines.
- C. Specify only the preferred output structure for lesson outlines, since the structure carries the standards implicitly and naming the role adds no value.
- D. Name Claude's role as a course designer and require alignment with the organization's instructional- design standards; leave the output structure to Claude based on each lesson's topic.
Correct Answer: B 🗳️
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A knowledge worker has noticed that the same prompt for a recurring weekly task produces inconsistent outputs across runs. Some weeks the output uses the right sections but the wrong tone; other weeks the tone is right but a section is missing. The source inputs change each week but follow the same structure.
Which cause is most worth investigating first?
- A. The source inputs vary too much from week to week, and the team should standardize the inputs before changing the prompt.
- B. The recurring prompt under-specifies the audience, tone, format, and required sections, so each run drifts depending on what the model emphasizes that time.
- C. The team should split the prompt into separate prompts for tone and structure, since combining both in one prompt produces the mixed inconsistency the team is seeing.
- D. The model is non-deterministic, so identical prompts naturally produce different outputs even when the prompt itself is well-written, and the team should accept the variation.
Correct Answer: B 🗳️
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