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Anthropic CCDV-F Exam Syllabus Topics:

Section	Weight	Objectives
Prompt and Context Engineering	11%	- Prompt design and structuring - Context window management - Structured output handling
Agents and Workflows	14.7%	- Agent architecture principles - Claude Agent SDK usage - Memory and context management - Workflow vs autonomous agents
Model Selection and Optimization	16.8%	- Claude model family characteristics - Cost and token optimization - Latency and performance trade-offs
Claude Code	3.1%	- Claude Code configuration and usage
Applications and Integration	33.1%	- Claude Messages API - Streaming and Batch API - Vision capabilities - SDK and third-party integration
Security and Safety	8.1%	- AI application security - Guardrails and safety controls
Evaluation, Testing, and Debugging	2.6%	- Output evaluation and validation - Error handling and debugging
Tools and Model Context Protocol (MCP)	10.6%	- MCP server development - Tool integration and usage

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Anthropic Claude Certified Developer-Foundations CCDV-F Prüfungsfragen mit Lösungen (Q58-Q63):

58. Frage
You are building an agent that needs to call several internal APIs and a database in a structured, repeatable way. Your team has decided to use the Claude Agent SDK rather than build a custom loop. You are setting up the agent's tool definitions and execution loop.
How would you set up the tools and execution loop?

A. Call the Messages API directly and let the model format its tool calls in plain text.
B. Use the SDK's tool interface and write the loop and history layer in the team's own code.
C. Use the SDK's tool interface and loop, with conversation history stored in a separate team database.
D. Use the SDK's tool interface and let the SDK handle the loop, dispatch, and history.

Antwort: D

Begründung:
The supplied Claude Developer examination source selects A . The purpose of choosing an agent SDK rather than implementing a custom Messages API loop is to consume the SDK's higher-level abstractions. Re- implementing dispatch, iteration, and state handling would discard much of the value provided by the SDK.
Anthropic's current documentation distinguishes low-level tool-use loops from higher-level SDK-managed abstractions. With a manually implemented Messages API workflow, application code must inspect stop_reason, execute requested client tools, append tool_result blocks, preserve conversation history, and repeat until Claude completes the turn. Anthropic's higher-level tooling can instead encapsulate this repetitive control flow. Current migration guidance also confirms that Agent SDK @tool functions are automatically dispatched by the SDK and that agents, tools, and sessions are first-class SDK concepts.
B is incorrect because structured tool use should not be replaced with informal plain-text calls. C introduces an unnecessary custom state dependency when no external persistence requirement exists. D duplicates control-loop functionality despite the explicit decision to use the SDK.
Relevant Claude Developer topics: Agent SDK, tool definitions, dispatch, agentic loops, conversation state, tool execution, and abstraction selection .

59. Frage
Your Claude application's token costs have grown faster than expected. The team has not been tracking token usage by feature, so the team cannot identify which features are driving cost. The team is debating how to respond.
How would you respond?

A. Add token usage tracking by feature to the application's logging so the team can identify which features drive cost before recommending changes.
B. Tell the team that cost growth is unavoidable as the application scales and that no investigation will change the trajectory of the application's cost over the next several quarters.
C. Switch every feature to the smallest model to cut cost broadly across the application during normal operation.
D. Reduce token usage uniformly across all features by half, applying the cut evenly across the application during normal operation.

Antwort: A

Begründung:
Option D follows the fundamental optimization rule of measuring before changing. Without feature-level usage telemetry, the team cannot know whether cost growth comes from request volume, long prompts, excessive outputs, low cache-hit rates, expensive models, agent loops, tool results, or one particularly inefficient workflow.
Anthropic's Usage and Cost API exists specifically to provide granular historical usage and cost information.
It supports token tracking and breakdowns by dimensions including model, workspace, service tier, API key, context window, and other usage characteristics. Anthropic describes this data as useful for monitoring, cost reconciliation, optimization, and determining whether system changes improve efficiency.
B applies a model downgrade indiscriminately and may damage features whose quality requirements genuinely demand a stronger model. C similarly imposes an arbitrary token reduction without identifying where waste exists. A abandons cost management entirely.
The correct lifecycle is instrument, establish a baseline, identify high-cost features, analyze why they are expensive, apply targeted optimizations, and measure again. Relevant Study Guide topics: observability, usage telemetry, cost attribution, token accounting, production monitoring, capacity planning, and evidence- driven optimization.

60. Frage
You are designing a Claude application that will require structured JSON output for downstream processing.
The output schema is well-defined, and downstream systems will reject malformed JSON.

A. Define a clear schema, structure the prompt to request output in that schema, and validate Claude's output against the schema before passing it downstream.
B. Structure the prompt to request output in a schema that is described in plain English, with downstream systems parsing whatever shape Claude produces.
C. Avoid structured output and use free-form text everywhere instead, on the grounds that free-form text is more flexible and handles edge cases better than structured schemas.
D. Define a clear schema and structure the prompt to request output in that schema, with downstream systems handling any validation needed.

Antwort: A

Begründung:
Option C establishes the strongest application boundary between probabilistic model generation and deterministic downstream processing. When another component requires JSON with a known contract, the application should explicitly define the expected structure and ensure that model output conforms to it before downstream execution. Anthropic's current Structured Outputs guidance states that structured outputs constrain responses to a specific schema and are intended to provide valid, parseable data for downstream processing. The current Claude API supports JSON Schema through output_config.format, while SDK helpers can additionally parse and validate returned data.
The underlying engineering principle remains the same even when structured-output enforcement is unavailable: never allow unvalidated model-generated structures to become trusted machine input. Option A provides insufficient contractual control. Option B defines the schema but pushes validation too late, increasing the probability that malformed or semantically invalid data reaches dependent components. Option D sacrifices machine reliability entirely.
Therefore, C correctly combines schema specification, explicit format guidance, and validation. This corresponds to Claude Developer topics covering structured outputs, defensive application design, schema validation, and reliable model-to-system interfaces. The question and options are reproduced from the supplied examination set.

61. Frage
Your Claude application's API keys are stored in a secrets manager. The team is debating whether the same key should be used in development, staging, and production environments.
How would you handle the keys across environments?

A. Rotate the same key across environments at random intervals on the grounds that random rotation provides isolation between environments without requiring distinct keys.
B. Use distinct keys for each environment so a compromise in one environment does not affect the others during normal operation across the application's lifecycle.
C. Use the same key across all environments for simplicity and treat the propagation of any compromise as a known operational tradeoff for the team's key management approach.
D. Use a single development key everywhere on the grounds that production keys are too risky to deploy across the application's three environments during normal operation.

Antwort: B

Begründung:
Option A provides proper environment isolation and credential blast-radius control. Development, staging, and production represent different trust boundaries and should not share the same API credential. If a development machine, CI job, or staging service is compromised, a distinct credential prevents the attacker from automatically gaining the same access to production.
Anthropic's official workspace documentation explicitly recommends using separate workspaces for development, staging, and production. Workspaces can have their own API keys, members, resource limits, and usage tracking, and keys can be scoped to a specific workspace. Anthropic's authentication guidance also instructs developers to store API keys in a secrets manager, rotate them periodically, revoke suspected compromised keys, and use workspaces to scope credentials by project or environment.
B confuses rotation with isolation: rotating a credential that remains shared across all environments does not create independent security boundaries. C deliberately increases blast radius. D merely substitutes one globally shared key for another and therefore has the same architectural flaw.
The supplied exam source marks A as correct. Relevant topics: Confia Management, secrets management, API-key scoping, environment isolation, credential rotation, workspaces, least privilege, and production security.

62. Frage
You are configuring Claude Code for a new project. The team needs to set permissions, default model selections, and environment-specific behavior at the project level so the configuration is consistent across all developers working on the repository.
The Claude Code mechanism you would use is...

A. A system prompt embedded in every Claude Code conversation by each developer at the start of every session in the project.
B. Environment variables that each developer sets on their own machine when working with Claude Code on the project.
C. A shared spreadsheet that lists configuration values for team members to reference and update by hand as the project evolves.
D. The settings.json file, scoped at the project level so the configuration applies consistently across developers and persists with the repository.

Antwort: D

Begründung:
D is directly aligned with Claude Code's configuration model. The supplied exam source marks D . Anthropic documents settings.json as the official mechanism for configuring Claude Code through hierarchical scopes.
Shared project configuration is stored in .claude/settings.json , which is intended to be checked into source control and shared with the team.
Project settings provide consistent repository-level behavior while still participating in Claude Code's configuration precedence. They can configure permissions, environment variables, tool behavior, and other supported project policies. Claude Code additionally distinguishes shared project settings from .claude
/settings.local.json, which is intentionally excluded from source control and is suitable for developer-specific experimentation or machine-local overrides.
A spreadsheet provides documentation but no executable configuration enforcement. B allows every developer's configuration to diverge and is appropriate only for values that genuinely belong to the local environment. C requires manual repetition and cannot reliably establish repository-wide policy.
Therefore, shared project settings.json is the appropriate configuration-as-code mechanism.
Relevant Claude Developer topics: Confia Management, Claude Code configuration, settings scopes, project settings, permissions, environment configuration, team consistency, and source-controlled configuration .

63. Frage
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