Anthropic Updated CCDV-F Exam Questions and Answers by kingsley

Option C provides the required configuration-management discipline. Development, staging, and production may legitimately use different models, prompts, plugins, permissions, or service endpoints, but those differences must be explicit, reproducible, and auditable rather than scattered across undocumented mechanisms.

Claude Code documentation follows the same configuration-as-code principle. Project-level configuration can live in source-controlled files such as .claude/settings.json, while project instructions are maintained in repository-level CLAUDE.md. Anthropic specifically distinguishes shared project settings from local developer configuration.

A introduces uncontrolled model changes and regression risk. B hides configuration in application logic and makes environment differences harder to review. D ignores the fact that environments often require deliberate differences—for example, production credentials or pinned release versions.

The correct strategy is therefore to define configuration centrally, pin compatibility-sensitive dependencies, record environment-specific overrides, review modifications through source control, and retain rollback history. Relevant Study Guide topics: configuration management, environment isolation, model versioning, prompt versioning, dependency management, reproducibility, and controlled deployment.

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D is the only option that addresses all three identified production-readiness defects. The supplied Claude Developer item explicitly selects D. A functioning happy path is insufficient for a maintainable Claude integration.

Prompt and model selection are configuration concerns that will change as prompts are evaluated, model versions evolve, or environments require different behavior. They should therefore be separated from unrelated business logic rather than scattered as inline constants. Claude API failures must also be handled deliberately. Anthropic documents typed SDK exceptions and defined HTTP error categories, including invalid requests, authentication failures, rate limits, server errors, overload, and timeouts. The official SDKs additionally retry appropriate transient failures.

Tests are required to verify the integration boundary, including successful behavior, malformed or unexpected responses, API error handling, and critical user workflows. Approving code without those controls pushes known reliability debt directly into production.

A and B knowingly merge incomplete production behavior. C improves configuration and test coverage but leaves a known API-failure path unhandled.

Relevant Claude Developer topics: SW Eng Foundations, code review, separation of configuration, error handling, integration testing, API resilience, maintainability, and production readiness .

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The supplied Claude Certified Developer Foundations material identifies A as the best answer. The decision should begin with the actual capability gap rather than a predetermined preference for built-in or custom tooling. If the existing capability can satisfy the requirement with a small supported extension or composition, using it avoids unnecessary implementation and maintenance. If the missing capability is fundamental, a custom tool becomes justified.

Anthropic's tool architecture explicitly supports both categories. Claude provides Anthropic-managed or predefined tools while also allowing developers to define custom tools for operations specific to their application. With a custom client tool, the application defines the contract and executes the operation before returning its result to Claude.

A is more complete than C because it evaluates both sides of the boundary : whether the existing mechanism can realistically meet the missing requirement and, if not, whether custom implementation is warranted. B prioritizes precedent over current requirements. D only determines whether the unmodified built-in tool is sufficient and does not address what to do when it is almost—but not entirely—sufficient.

Relevant Claude Developer topics: built-in tools, custom tools, capability-gap analysis, tool contracts, maintenance cost, extensibility, and agent construction decisions .

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The supplied Claude Developer question explicitly identifies D . The two mechanisms solve different extension problems. A Skill is a reusable package of domain expertise and workflow guidance. Anthropic describes Agent Skills as modular, filesystem-based capabilities containing instructions, metadata, and optional supporting resources such as scripts and templates, which Claude can load when relevant.

MCP, by contrast, defines a standardized mechanism for exposing external capabilities and context. Anthropic's MCP integration supports MCP tools and, through client-side helpers, MCP prompts and resources. This makes MCP appropriate when Claude must communicate with an external server or reusable service interface rather than simply load packaged expertise.

Thus, Skills are appropriate for packaging repeatable instructions, procedures, scripts, templates, or domain knowledge. MCP servers are appropriate for exposing callable operations, external data resources, and shared service capabilities using the Model Context Protocol.

A incorrectly treats them as interchangeable. B incorrectly describes the difference as merely generational. C invents a universal efficiency advantage that is not the architectural distinction.

Relevant Claude Developer topics: Agent Construction, Agent Skills, MCP, reusable capabilities, resources, prompts, tools, extension architecture, and cross-team component reuse .

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