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CCAO-F Claude Certified Associate Foundations

  • Anthropic
  • 146 practice questions
  • Updated Sep 2026
  • 16 free sample questions

About this exam

CCAO-F is the Anthropic exam Claude Certified Associate Foundations. Practice material is available as a PDF, an interactive practice test or a bundle of both.

Exam code
CCAO-F
Vendor
Anthropic
Practice questions
146
Questions with an explanation
145 of 146
Free sample questions
16
Question bank last updated
26 Sep 2026

Try 2 sample questions

Taken from the free sample set for CCAO-F.

Question 1

While preparing stakeholder communication about a proposed Claude use case, a senior manager is applying the AI Fluency Framework Description competency.

Which framing best reflects Description principles for stakeholder communication?

  1. Option A:

    Omit the human oversight that will remain in place, even though Description principles require expectations that reflect the actual capability boundaries of the use case.

  2. Option B:

    Understate Claude’s capabilities to lower stakeholder expectations, even though Description principles require accuracy in both directions rather than systematic minimization.

  3. Option C:

    Describe what Claude can reliably produce, the known limitations, and the human oversight that will remain in place, calibrated to the audience’s familiarity with AI.


  4. Option D:

    Overstate Claude’s capabilities to secure stakeholder support, even though Description principles require accurate framing of what Claude can and cannot reliably produce.

Show answer and explanation

Correct answer: C

Option C is correct because effective Description communicates the intended product, process, and collaborative expectations accurately. Stakeholders need to know what Claude will do, what inputs it requires, which outputs it can produce reliably, where errors or limitations may occur, and which decisions or reviews remain under human ownership. The explanation should be calibrated to the audience: executives may need business value and risk boundaries, while operational or technical users may require workflow details and validation requirements.

Option A conceals a material governance control and could lead stakeholders to misunderstand Claude’s autonomy. Option B is not responsible simply because it is conservative; systematically understating capabilities can produce poor decisions and unjustified resistance. Option D is plainly inappropriate because exaggerated claims create unrealistic expectations and weaken informed oversight.


Anthropic defines Description as effectively communicating goals to produce useful AI behaviour and outputs. Its guidance distinguishes Product Description, Process Description, and Performance Description. Transparent stakeholder framing also supports Diligence by preserving accountability for how AI is represented and used. Therefore, balanced communication about capabilities, limitations, and human oversight is the only defensible framing. See Anthropic’s AI Fluency Description lesson and AI Fluency Framework.

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Question 2 (choose 2)

You are an operations lead mapping production tasks to Claude model strengths to set realistic expectations.

Which two production tasks fit Claude ' s strengths most clearly? (Select two.)

Each correct answer presents a complete solution.

  1. Option A:

    monitoring a live sensor data stream and flagging anomalies as they occur in real time

  2. Option B:

    issuing a binding legal determination based solely on Claude ' s analysis of case documents


  3. Option C:

    drafting a tone-and-audience-aware customer-facing email under human review


  4. Option D:

    calculating the precise settlement value of a derivative contract using live market inputs


  5. Option E:

    synthesizing a single executive summary across many long source documents


Show answer and explanation

Correct answer: C, E

Under the objective Differentiate between Claude model types (e.g., Haiku, Sonnet, Opus) and foundational AI capabilities, generative models are specifically optimized for natural language understanding, cross-document synthesis, and nuanced stylistic drafting.

Drafting audience-tailored, empathetic customer communications for human review (Option C) and synthesizing large volumes of complex source text into concise executive summaries (Option E) leverage Claude ' s extensive context window and linguistic fluency. Conversely, tasks requiring millisecond real-time event-driven streaming detection (Option A) or high-frequency deterministic quantitative financial settlement calculations on live feeds (Option D) are poorly suited for general LLMs and require specialized, deterministic streaming engines. Additionally, delegating final binding legal rulings entirely to an AI (Option B) represents an inappropriate governance risk.

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