CCAO-F Readiness Check: 12 Free Practice Questions (2026)

1. Claude summarizes a 40-page vendor contract for you and confidently cites 'a 2% late-delivery penalty under clause 14.3.' You skim the contract and can't immediately find that clause. What do you do before forwarding the summary to procurement?

Ask Claude to double-check its own summary and forward it if Claude confirms the clause is accurate Search the actual contract for the penalty term and verify the clause exists and says what the summary claims Forward it with a note that the summary was AI-generated, which transfers the verification responsibility to procurement since they own the vendor relationship Re-run the same request in a fresh conversation and forward the summary if both versions mention the clause

2. You've asked Claude for a competitive market brief and it produces impressive statistics — market sizes, growth rates — with no sources attached. The brief is due to your VP tomorrow. What's the right move?

Ask for the sources and independently spot-check the numbers that your VP's decision would actually rest on Include the statistics but round them, so small inaccuracies won't matter at the level of precision you're presenting Cut every number and send a purely qualitative brief, since AI-generated statistics can never be used in business documents Send it as-is — Claude's training data covers market research, so headline figures are generally reliable

3. Your team is producing a quarterly performance summary that three colleagues will edit and reformat over the next week. Which output approach fits best?

A voice-style summary you read aloud in standup so nobody needs to edit documents at all Long inline chat responses your colleagues can scroll back through whenever they need to check a figure An artifact — a structured, standalone document you can iterate on and export for shared editing Twelve separate short chats, one per metric, so each number stays isolated and easy to find later

4. You want to overhaul your team's weekly status-report process with Claude. Where does Claude add the most value with the least risk in the first version of the new workflow?

Fully automating the pipeline end to end, including sending the final report to leadership without review, to maximize the time savings that justified the project Replacing the status meeting with a Claude chat that leadership can query directly instead of reading reports Generating the metrics themselves, so the team no longer needs to collect inputs each week Drafting the report from structured inputs the team provides, with a human doing the final review and send

5. A director asks: 'Why don't we let Claude handle the whole client-email pipeline automatically?' What's the strongest response, per how the exam frames stakeholder communication?

Explain the value and the limitation together: drafting at scale works today, but external sends should keep human approval because errors reach clients directly Agree and propose a pilot where Claude sends client emails autonomously for one large account, since a real-world test is more persuasive than a hypothetical discussion about risk Decline, because client communication is an inappropriate use of AI in any form Say yes for routine emails and no for sensitive ones, and let each rep decide which is which in the moment

6. A teammate wants to upload three months of raw customer-support transcripts — full names, emails, order numbers — so Claude can find complaint themes. Company policy restricts sharing regulated personal data with external tools. What's the appropriate action?

Upload as-is but add an instruction telling Claude not to store or remember any personal information it sees in the transcripts Skip the analysis — this task can't be done compliantly with AI Strip or anonymize the personal identifiers first, then run the theme analysis on the sanitized transcripts Upload as-is, since theme analysis is an internal use and the data never appears in the final output

7. Which of these tasks most clearly requires human ownership rather than being delegated to Claude, under typical organizational AI policy?

Summarizing publicly available industry research into a reading digest for the team Drafting and finalizing an employee's termination letter and delivering the decision without a manager reviewing it Brainstorming twenty campaign concepts for a product launch, to be filtered by the marketing team afterward Converting messy meeting notes into a structured action-item list for the project channel

8. You gave Claude a long, unstructured request ('look at this customer feedback and tell me what to do about onboarding') and got back something generic. What's the highest-leverage fix?

Add 'be specific and detailed' to the same prompt and regenerate it a few times until a better version appears Switch to the most capable model tier, since generic output usually means the model wasn't smart enough for the task at hand Start a brand-new conversation, because a generic answer means the current one is contaminated Decompose the task: define the goal, break the analysis into steps, and specify the output format you need

9. You're using Claude for two tasks today: (a) generating as many angles as possible for a campaign, (b) checking a pricing analysis for errors. How should your prompting differ?

For (a) ask for volume and defer judgment — no critique yet; for (b) ask for careful step-by-step verification against the source data Use identical prompts — good prompting principles are universal across task types, and varying your approach introduces inconsistency into the results For (a) demand only the single best idea to avoid noise; for (b) ask for a quick yes/no verdict to keep it objective For (a) run many short chats, one idea each; for (b) paste the analysis repeatedly until Claude finds something to flag

10. A project conversation you've used for three weeks has grown enormous. Claude is slower and has started 'forgetting' decisions from early in the chat. What's the right context-management move?

Keep the conversation going but repeat the important early decisions every few messages so they stay recent enough for Claude to see Delete the project and rebuild it from scratch, since degraded performance means the configuration itself has become corrupted Upgrade to the most capable model, which will remember the whole conversation Summarize the key decisions into the project's knowledge, then continue in a fresh conversation that reads from it

11. Your team wants every Claude draft to follow brand voice rules and a standard report format, across everyone's conversations in a shared Project. Where do those rules belong?

In a pinned chat message at the top of one conversation that everyone is asked to reuse instead of starting their own In the Project's instructions (with reference docs as project knowledge), so every conversation inherits them automatically Pasted manually at the start of each conversation by whoever remembers, so the rules stay visible and top-of-mind for the team In each person's personal notes app, linked from the team wiki

12. Since your team added 60 documents to a Project, output quality has dropped — answers cite outdated policy versions and mix up product lines. What's the most likely cause and fix?

The model tier is too small for a project this size — upgrade tiers and the confusion will resolve without touching the documents Claude is hallucinating more than usual this month — wait for the model to improve, since knowledge quality is outside your control Knowledge bloat: stale and conflicting documents are competing — curate the sources, remove superseded versions, and keep the set current Users are prompting badly — circulate a prompt-writing guide to the team