CCAR-F Practice Test 9 — 10 Questions

Question 1

A developer is building a Claude-powered assistant that must answer questions using only an internal knowledge base of product manuals. The team wants to reduce fabricated answers about features that do not exist. Which approach best supports that goal?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Instruct Claude to answer only from the provided manual excerpts and to say it does not know when the excerpts lack the answer.. Fabrication drops when Claude is constrained to supplied excerpts and given explicit permission to abstain. That combination sets a clear source of truth and removes the incentive to invent undocumented features. Temperature increases, whole-corpus dumping, and generic helpfulness instructions either raise variability or fail to bound the answer source, leaving the fabrication risk intact.

Answer

Add a system prompt line telling Claude to be as helpful and thorough as possible in every answer.

Answer

Prepend the entire knowledge base to every prompt so Claude always has all product manuals available.

Answer

Raise the temperature so Claude can generate more creative and comprehensive product descriptions.

Question 2

An architect is designing an MCP server that exposes a tool to query a customer relationship management (CRM) system. The CRM API enforces per-tenant rate limits and returns HTTP 429 with a Retry-After header when exceeded. The architect wants the tool to behave predictably under load without the model having to reason about throttling. Which approach should the architect implement?

Accepted Answer

Implement server-side retry with exponential backoff and jitter that honors the Retry-After header, and surface a structured success or failure result to the model.. Rate-limit handling is an integration concern that should be encapsulated in the MCP server so the model never has to reason about HTTP 429 responses or timing. Honoring Retry-After with exponential backoff and jitter prevents synchronized retries and respects the upstream contract. The model then receives a normalized result it can act on, keeping tool behavior predictable under load.

Answer

Cache every CRM response indefinitely and serve cached data whenever the API returns 429.

Answer

Return the raw HTTP 429 response body to the model and instruct it in the tool description to retry after a delay.

Answer

Configure the MCP client to automatically retry the tool call a fixed number of times without any server-side logic.

Question 3

An architect is designing an MCP server that exposes tools for a customer relationship management (CRM) system. The tools include 'get_customer', 'update_customer', and 'delete_customer'. The architect wants to ensure that tool invocations are properly authorized and audited. Which two design elements should be included in the MCP server implementation? (Choose two.)

Accepted Answer

Validate the caller's OAuth 2.0 access token on every tool invocation before executing the operation.. The two correct elements are validating the caller's OAuth 2.0 access token on every invocation and logging full tool inputs/outputs with authenticated user ID and timestamp. Together they enforce authorization at the server and provide an audit trail. Token validation ensures only authorized callers can execute tools, while logging enables traceability and detection of misuse.

Answer

Rely on the model's system prompt to instruct it to only call tools when the user is authorized.

Answer

Embed the caller's identity and permissions in the tool input schema as required parameters.

Answer

Store a static API key in the MCP server configuration and use it for all tool calls regardless of caller.

Question 4

You are architecting a customer-support assistant that uses Claude with a 200K-token context window. Each session accumulates roughly 40K tokens of chat history, and you also inject a 30K-token product manual on every turn. Latency has become unacceptable because the full payload is re-sent each call. Which change best reduces latency while preserving the assistant's knowledge of earlier turns?

Accepted Answer

Enable prompt caching on the stable prefix (manual plus prior turns) so repeated tokens are served from cache instead of being reprocessed on each call.. Prompt caching is the architectural lever for repeated large prefixes: the manual and accumulated history are stable across turns, so caching their processed state avoids re-encoding tens of thousands of tokens on every request. Caching preserves the full context the assistant needs, unlike truncation, and it targets input processing cost, unlike max_tokens or batching, which address output length or throughput rather than interactive latency.

Answer

Batch all user questions into a single nightly asynchronous request using the Message Batches API.

Answer

Raise the max_tokens parameter so Claude can emit a longer response and finish the answer in fewer round trips.

Answer

Switch to a smaller model with a shorter context window and truncate the manual to the first 8K tokens.

Question 5

A financial-reporting agent must extract figures from quarterly filings and populate a downstream ledger. Auditors require that every extracted number be traceable to its source. Which design most directly satisfies the traceability requirement?

Accepted Answer

Have the model output each figure together with the source document name and the exact quoted sentence containing it.. Traceability means each ledger figure can be traced back to specific source text. Emitting the document name and the exact quoted sentence with every extracted number creates that link at extraction time, so audit review is direct rather than reconstructive. Logging, larger context, and numeric normalization improve debugging, accuracy, or formatting but never bind a value to its origin.

Answer

Increase the model's context window so it can ingest the entire filing at once and reduce extraction errors.

Answer

Apply a post-processing regex pass to normalize all numeric formats before writing to the ledger.

Answer

Log the raw model request and response payloads to an immutable store for later inspection.

Question 6

A travel-booking agent built on the Claude Messages API handles multi-turn conversations. During a session, the agent calls a search_flights tool and receives results. On the next user turn the agent suddenly invents a flight that was never returned by any tool. The architect reviews the request payload and sees that the prior assistant turn containing the tool_use block and the following user turn containing the tool_result block were both sent back to the API. What is the most likely cause of the hallucinated flight?

Accepted Answer

The tool_result block was returned in a separate user message but its tool_use_id did not match the id of the preceding tool_use block.. Tool results must be bound to the exact tool_use id Claude emitted, otherwise the model treats the returned data as unattached context and fills gaps with invented content. Preserving the assistant tool_use turn and its matching user tool_result turn keeps the grounded data authoritative, so the fix is verifying id correspondence rather than discarding history or tuning token limits.

Answer

The search_flights tool schema declared its parameters as strings while the agent passed integers, so the API silently dropped the returned results.

Answer

The max_tokens value was too low, which truncated the tool_result content and forced the model to reconstruct the missing flight details.

Answer

The agent should have cleared the conversation history and resent only the latest user message so the model would not be confused by stale tool output.

Question 7

An architect is designing a Claude-based contract review tool. Because contract clauses are long and interdependent, the team plans to use extended thinking to improve reasoning quality. Which TWO practices should the architect follow to use this capability correctly? (Choose two.)

Accepted Answer

Allocate a thinking budget that scales with task complexity and leave sufficient max_tokens for the final answer.. Extended thinking requires sizing the thinking budget to task complexity while preserving room for the final answer, and it requires not recycling prior thinking blocks into later turns. Together these keep reasoning thorough, cost proportionate, and multi-turn dialogues clean. Exposing thinking traces, maxing budgets unconditionally, and returning only thinking output all misuse the capability.

Answer

Disable the final answer and return only the thinking output as the contract review result.

Answer

Set the thinking budget to the maximum on every request to guarantee the best possible clause analysis.

Answer

Expose the raw thinking blocks to end users so they can audit the model's reasoning trace.

Question 8

An architect is designing a prompt that asks Claude to analyze a contract and return a risk rating plus supporting clauses. The response must be machine-readable and include a confidence score. Which design most reliably produces both a rating and a confidence score in a single response?

Accepted Answer

Define a tool with an 'input_schema' containing required 'rating' and 'confidence' properties and force tool use.. A tool definition with an 'input_schema' that marks 'rating' and 'confidence' as required, combined with forced tool use, guarantees both fields appear in a single structured tool call. This keeps the rating and its confidence score aligned and eliminates parsing ambiguity. Few-shot examples and prose instructions only influence behavior and cannot enforce required fields.

Answer

Include a few-shot example showing a JSON object with both keys and ask Claude to follow it exactly.

Answer

Ask for a JSON object with 'rating' and 'confidence' keys and parse the text response.

Answer

Use two separate prompts: one for rating and one for confidence, then merge the results.

Question 9

A developer new to Claude Code wants to quickly see a list of all available slash commands in their current session. Which command should they use?

Accepted Answer

/help. The /help command is the standard way to list all available slash commands and get assistance within Claude Code. It provides a comprehensive overview of both built-in and custom commands. Other suggested commands like /commands, /list, or /menu are not recognized by Claude Code and would not fulfill the developer's request.

Answer

/commands

Answer

/list

Answer

/menu

Question 10

You are designing a customer support assistant that must always respond in a calm, professional tone. During testing, you notice that after several turns of heated user complaints, Claude's replies become abrupt and less empathetic. You need the most reliable way to prevent this tonal drift throughout a long conversation. What should you do?

Accepted Answer

Use a system prompt that explicitly defines the persona and tone, and keep it unchanged across all turns.. Tonal drift in long conversations is best mitigated by placing the desired persona and tone in the system prompt, which Claude treats as a persistent instruction set. Unlike user-turn reminders or hidden assistant turns, the system prompt remains constant and authoritative, helping the model maintain consistent behavior even when user messages are emotionally charged. Lowering temperature affects randomness, not persona adherence.

Answer

Reduce the model's temperature to 0 so that responses become deterministic and tone cannot vary.

Answer

Add a reminder of the desired tone at the beginning of each user message.

Answer

After each user message, insert a hidden assistant turn that models the desired tone.