CCDV-F Practice Test 3 — 10 Questions

Question 1

A developer is iterating on a classification prompt for support tickets. Each test run uses a different random sample of 200 tickets, and accuracy swings by 8 points between runs. The prompt itself is unchanged. What is the best first step to get trustworthy signal about whether a prompt edit actually helped?

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

Accepted Answer

Freeze a held-out evaluation set and run every prompt version against the same fixed examples.. A fixed held-out evaluation set is the foundation of reliable prompt iteration. By scoring every prompt version against identical examples, the developer isolates the effect of the prompt change from the effect of sampling. Temperature and example count affect generation, but neither controls which inputs are being compared.

Answer

Increase max_tokens so the model has more room to reason before classifying.

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Add more few-shot examples until accuracy stops changing between runs.

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Lower the temperature to 0 and rerun the same random sample twice.

Question 2

A developer is drafting a system prompt for a coding assistant. They want Claude to always answer in the same tone and follow the same safety constraints regardless of what the user types. Where should these persistent rules be placed?

Accepted Answer

In the system prompt, which applies across the whole conversation.. Persistent behavioral rules belong in the system prompt because it frames every turn and is not scoped to a single user or assistant message. This gives consistent tone and safety enforcement regardless of what the user types. User-message rules are turn-scoped, assistant messages represent output, and non-message fields are not read as instructions, so none of those achieve the required consistency.

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In a final assistant message appended after the user's question.

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In the first user message, mixed with the developer's coding question.

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In a separate metadata field outside the messages array.

Question 3

A developer wants Claude Code to run a series of shell commands as part of a build task but is concerned about the assistant executing arbitrary or destructive commands. Which TWO practices reduce this risk while still allowing the needed commands to run? (Choose two.)

Accepted Answer

Add a PreToolUse hook on the Bash tool that inspects the command and blocks anything outside the approved set.. Least-privilege controls are the right answer. An allow list in settings.json restricts execution to the specific build commands, and a PreToolUse hook on the Bash tool can inspect and block disallowed commands before they run. Together they permit the intended build while constraining arbitrary or destructive execution. Skipping permissions removes safeguards, memory-file advice is not enforced, and container hardening changes the environment rather than governing command selection.

Answer

Instruct Claude Code in CLAUDE.md to never run dangerous commands.

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Run the build inside a container with no network access and a read-only filesystem.

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Enable `--dangerously-skip-permissions` to avoid prompts during the build.

Question 4

A developer is building an MCP server that exposes several tools for managing a cloud infrastructure. The server will be used by multiple Claude clients. The developer wants to ensure that tool calls are handled efficiently and that the server can scale. Which two practices should the developer implement? (Choose two.)

Accepted Answer

Design tools to be idempotent where possible, so that repeated calls with the same parameters produce the same result.. The two best practices are statelessness and idempotency. Statelessness allows any server instance to handle any request, enabling horizontal scaling. Idempotency ensures that retries are safe, which is important for reliable infrastructure operations. Together, they improve efficiency and scalability. Other options like caching, global locking, or in-memory session state either introduce complexity or hinder scalability.

Answer

Cache the results of expensive tool calls on the server side and return cached responses for identical requests.

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Use a single global lock to serialize all tool calls, preventing concurrent execution.

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Store session state in memory on each server instance to track client interactions.

Question 5

What is the role of the user when using Claude Code for a complex refactoring task?

Accepted Answer

The user acts as the strategic architect and final validator.. The user remains the architect and final auditor of the code. While Claude Code handles the heavy lifting of writing code and executing tests, the human user must provide strategic direction, approve individual changes, and verify the final outcomes. This synergy is key to effective AI-assisted development, as it allows the developer to leverage the agent's speed and breadth of knowledge while maintaining ultimate control over the project's design and long-term maintainability.

Answer

The user is only responsible for providing the initial prompt.

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The user should avoid interfering to prevent conflicts.

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The user must perform all terminal commands manually.

Question 6

You are designing a multi-agent system where a 'Router' agent directs tasks to a 'Research' agent or a 'Writer' agent. What is the most efficient way to maintain state when the Research agent completes its task and needs to hand back control?

Accepted Answer

Appending the Research agent's tool results to the main message thread.. Handoffs in multi-agent systems rely on passing the conversation history or a summarized state between specialized instances. This ensures that the Router has the necessary context to decide the next step without losing the progress made by the Research agent. Proper state management prevents redundant work and keeps the agentic flow aligned with the user goal.

Answer

Persisting the Research agent's output to a global database for the Router.

Answer

Restarting the entire session with the Research output as a new prompt.

Answer

Using a separate API key for each agent to isolate their environments.

Question 7

A security auditor is reviewing an application that uses the Model Context Protocol (MCP). Which TWO security considerations are most important for the developer to address when implementing the MCP Server?

Accepted Answer

The server should strictly validate all tool arguments against its internal logic.. Security in MCP is a shared responsibility. While the protocol facilitates communication, the server developer must ensure that the tools and resources exposed do not create vulnerabilities. This includes limiting access to the file system and ensuring that tool inputs are properly validated before being used in potentially dangerous operations like shell commands.

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The server must use a unique API key for every tool call it receives.

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The server must rotate its connection ID every sixty seconds for privacy.

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All MCP tool results must be manually approved by a human operator.

Question 8

When implementing a 'Computer Use' agent, which THREE capabilities are provided by the standardized Anthropic beta tools 'computer', 'text_editor', and 'bash'?

Accepted Answer

Capturing screenshots and performing mouse/keyboard interactions.. Anthropic provides specialized tools for computer interaction to ensure consistent behavior across different environments. These tools allow the agent to perform GUI actions, modify files with precision, and execute shell commands. Together, they form a comprehensive suite for agents that need to operate as a virtual developer or assistant on a computer system.

Answer

Rewriting entire binary files to optimize system performance.

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Automatically upgrading the host operating system to the latest version.

Question 9

Refer to the exhibit. A developer is implementing the provided JSON structure to optimize an application that repeatedly analyzes the same large report. What is the primary financial implication of using the 'cache_control' block in this specific API request?

Accepted Answer

Subsequent requests with the same report will be billed at a reduced rate.. The 'cache_control' block enables Prompt Caching, which is a key tool for cost management. By marking a block as ephemeral, Anthropic caches the preceding content. If the same content is sent again within the cache's lifetime, the developer is charged a significantly lower 'cache hit' rate instead of the full input token price. This is essential for reducing costs in applications with static contexts.

Answer

It eliminates the cost of the first 1024 tokens in every request.

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It triggers a 50% discount on all output tokens for the session.

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The request will be processed using the Batch API pricing model.

Question 10

In the context of Anthropic's pricing model, why is it generally recommended to provide only the necessary context rather than the entire available dataset in a single prompt?

Accepted Answer

To minimize the input token count and keep the per-request cost low.. Token-based pricing means that every piece of information sent to the model has a direct financial cost. Large prompts not only increase the bill but can also lead to 'context stuffing,' which might degrade the model's focus. Efficient prompt engineering—sending only what is needed—is the fundamental practice for both cost management and ensuring high-quality, relevant responses from the AI.

Answer

Because Anthropic charges a 'search fee' for every 1,000 tokens of context.

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Because Claude models cannot process more than 10,000 tokens at a time.

Answer

To prevent the model from reaching its daily 'knowledge limit'.