CCDV-F Practice Test 1 — 10 Questions

Question 1

Refer to the exhibit. A developer provides this tool definition to Claude. If a user asks 'What is the tax on $100?', how will Claude likely behave based on the provided JSON schema?

Accepted Answer

Claude will likely ask the user which state they are in before calling the tool.. The JSON schema defines the contract between the model and the tool. In this exhibit, 'amount' is required, but 'state_code' is not. However, the description implies 'state_code' is necessary for an accurate calculation. Claude will attempt to follow the schema first, but if it identifies that a critical piece of information for the logic is missing, it may ask for clarification.

Answer

Claude will trigger an API error because the state_code is missing from the required list.

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Claude will call the tool with a default state_code of 'CA'.

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Claude will automatically extract the state from the user's IP address.

Question 2

Which field in the tool definition is primarily responsible for helping Claude determine when a specific tool is appropriate to use for a given user query?

Accepted Answer

description. The 'description' field is the primary source of information for Claude's reasoning. It provides the semantic context that the model uses to match user intent to the available functions. A well-written description is crucial for accurate tool selection and helps the model understand the utility and limitations of each tool.

Answer

name

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input_schema

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tool_choice

Question 3

When Claude Code is asked to perform a complex task that might take a long time, how does the agent manage the execution flow to ensure task completion?

Accepted Answer

It breaks the goal into smaller, verifiable steps.. Claude Code utilizes a sub-tasking strategy for complex requests. It breaks down large goals into smaller, manageable steps, executing them sequentially or in parallel when appropriate. This modular approach allows the agent to maintain focus, track progress across multiple files, and verify results at each step, significantly increasing the probability of successful task completion compared to attempting large, atomic changes without validation.

Answer

It executes the entire task as a single, atomic operation.

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It prompts the user to verify every single line of code generated.

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It pauses and requests human assistance for every file change.

Question 4

An AI engineering team is auditing an expensive Claude API integration processing millions of customer support queries daily. Which TWO strategies should they implement to effectively reduce token expenditure without sacrificing core model intelligence? (Choose two)

Accepted Answer

Implement Anthropic prompt caching for large, recurring system prompts and reference knowledge bases.. Optimizing context management and leveraging prompt caching are cornerstone strategies for cost reduction in high-volume Anthropic integrations. Caching static system prompts drastically lowers input token charges across repeated requests, while concise prompts eliminate redundant verbiage. Together, these practices protect infrastructure budgets while sustaining the semantic fidelity required by enterprise-grade support workflows.

Answer

Switch every production workload immediately from Claude 3.5 Sonnet to Claude 3 Opus to maximize parallel processing.

Answer

Disable response streaming to batch full payloads and reduce HTTP connection overhead.

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Hardcode maximum output tokens to five thousand across all API calls regardless of task complexity.

Question 5

When evaluating LLM performance, why is it critical to use a 'hold-out' test set of prompts that the model was not trained on?

Accepted Answer

To prevent overfitting the prompt engineering to a specific set of inputs.. Using a hold-out test set is essential for measuring generalization. If you evaluate a model using the same prompts used during development, you are testing for 'memorization' rather than true reasoning ability. A hold-out set ensures that the prompt engineering patterns you've developed are robust enough to work on unseen, novel inputs, providing a realistic prediction of performance in the production environment.

Answer

To increase the token limit for the evaluation process.

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To ensure the model receives different system instructions every time.

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To reduce the cost of API calls during the testing phase.

Question 6

Refer to the exhibit. Claude Code has encountered a test failure while implementing a feature. How should the developer effectively guide the agent to resolve this error using the agent's internal capabilities?

Accepted Answer

Instruct the agent to read the logs and apply a fix based on the stack trace.. Claude Code excels at iterative debugging by leveraging its ability to read execution logs and apply fixes directly to code. The most efficient approach involves instructing the agent to analyze the stack trace, locate the undefined function call, and propose a corrective patch. This leverages the agent's autonomous capability to reason about project architecture rather than requiring manual intervention, keeping the development loop self-contained and highly efficient.

Answer

Manually apply the fix to the code and restart the Claude Code session.

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Disable the agent's ability to run commands to prevent further errors.

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Run 'npm install' to ensure all dependencies are resolved before proceeding.

Question 7

A large-scale deployment of Claude is causing intermittent spikes in latency. Which security-related monitoring practice helps differentiate between a DDoS attack and legitimate heavy usage?

Accepted Answer

Analyze the request frequency and prompt diversity from specific origin IPs.. Differentiating between DDoS attacks and high legitimate load requires deep visibility into API request patterns. By tracking the distribution of source IPs, request frequency per token, and the complexity of prompts, security teams can identify anomalous patterns that signify an attack. This is crucial for maintaining availability without blocking legitimate users, ensuring that security measures are proportionate to the threat, rather than causing self-inflicted denial of service.

Answer

Check the total cost of API usage in the Anthropic dashboard.

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Limit all users to one request per minute.

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Disable all external access to the API immediately.

Question 8

When using the Messages API, a developer wants to ensure that Claude does not use any tools and only provides a standard text response, even if tools are defined in the request. Which configuration should they use?

Accepted Answer

Set the 'tool_choice' parameter to {"type": "none"}.. The tool_choice parameter provides granular control over when and how Claude uses the tools provided in the tools array. Setting it to 'none' is the definitive way to disable tool use for a specific request. This is useful for debugging or for scenarios where you want to provide tool definitions but decide dynamically to ignore them.

Answer

Omit the 'tools' parameter from the request entirely.

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Set the 'tool_choice' parameter to {"type": "auto"}.

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Include a system prompt that says 'Do not use any tools in this conversation'.

Question 9

Which object in the Claude API response body provides the exact count of tokens consumed by the prompt and the generated completion for billing and usage monitoring?

Accepted Answer

usage. Tracking token usage is essential for managing API costs and understanding the scale of data being processed. The Messages API returns a usage object that provides transparent metrics for every request. Developers use this data to implement internal billing, monitor for spikes in usage, and optimize their prompts to fit within budget and rate limit constraints.

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metadata

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token_details

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consumption

Question 10

An MCP Server is connected to a Host using the Stdio transport. If the server process crashes, how does the MCP architecture generally handle the reconnection logic?

Accepted Answer

The Host application detects the closed stream and must manage the restart.. The Stdio transport relies on standard input and output streams for communication between the host and the server. Because this is a process-level connection, a crash usually results in the termination of the stream. The responsibility for detecting this failure and initiating a recovery or restart lies with the MCP Host application.

Answer

The MCP Client sends a 'heartbeat' signal to automatically restart the server.

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The MCP Server uses a sidecar process to monitor its own health and restart.

Answer

The Model will identify the crash and suggest a fix to the developer.