CCAO-F practice questions: Product and model selection.

You need to rename a field across 200 files in a code repository. Which tool fits?

• A Project with the repository files attached so Claude can see all of them at once
• A chat conversation, pasting each file in turn and copying the edited version back
• A spreadsheet listing every file path so Claude can generate the edits row by row
• Claude Code, or a developer using it, working in the repository directly

For quick drafting of routine emails, what is the sensible model choice?

• A faster, cheaper model, saving the most capable one for deep analysis
• Rotate between models on each email so you can compare their tone over time
• The most capable model for every email, since consistency of quality matters most
• Whichever model was released most recently, since newer models replace older ones

For a long, careful analysis of a 60-page report, which is the better choice?

• The most capable model, accepting slower responses for the depth of analysis
• Whichever model the team used last time, so results are comparable across reports
• The fastest model, since it can be run several times and the answers compared
• A smaller model with the report split into chunks so each fits in a short prompt

Which feature lets a whole team share standing instructions and files?

• A shared Project with the instructions and files attached
• A shared browser bookmark to a chat with the instructions pinned at the top
• A saved conversation that each team member opens and continues
• A team email thread that holds the latest version of the instructions

A colleague asks whether to use the consumer chat app or an organization workspace for client work. Deciding factor?

• Which one has access to the newest model, since client deliverables should use the best output
• Cost per seat, since the consumer app is cheaper and client budgets are tight
• Data handling and admin controls: the organization workspace governs what happens to client data
• Response speed and rate limits, since client work is time-sensitive and volume can be high

Which task fits Claude Code rather than the chat app?

• Drafting a newsletter that goes out to the engineering team each month
• Making the same change across dozens of files in a code repository
• Writing a job post for a senior developer role from the hiring manager's notes
• Summarizing a recorded architecture review call for the people who missed it

When would a smaller, faster model be the right pick?

• For high-volume, simple tasks like tagging or short drafts where speed and cost matter more than depth
• When the conversation is going to run long, since smaller models hold context more reliably over time
• For legal or medical analysis, where a concise answer is safer than a long one
• When the team is new to AI tools, since simpler models are easier to prompt well