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CCDV-F Practice Exam Questions
Questions:
95
Updated:
Sep 15, 2026
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More Information
| Anthropic | Anthropic |
|---|---|
| Exam name | Claude Certified Developer-Foundations |
| Exam Code | CCDV-F |
| Number of Question | 95 |
| Update at | Sep 15, 2026 |
Description
2026 Complete Guide & Mock System
Claude Certified Developer – Foundations (CCDV-F)
Everything you need to master the CCDV-F exam — structure, all eight blueprint domains, fees, and tactical study plans, paired with code-grounded Claudemock™ practice simulations.
01. What is the CCDV-F Certification?
The Claude Certified Developer – Foundations (CCDV-F) is Anthropic's hands-on engineering credential for building on Claude. Built for software engineers, backend and full-stack developers, and AI engineers, it assesses your ability to integrate the Claude API into real applications, build agents and tool-calling loops, choose and optimize models, and ship with sound security and evaluation practice.
Administered via Pearson VUE (online proctoring through OnVUE or physical testing centers), passing candidates earn a verified digital Credly badge valid for 12 months, renewable through a free, non-proctored annual assessment.
Business / Non-Dev
CCAO-F
Foundations for day-to-day business productivity, prompting, & data governance.
Developer
CCDV-F
API integration, Agent SDK implementation, & programmatic tool-calling.
Architecture
CCAR-F
Foundational agentic architecture, MCP tool design, Claude Code, & reliability.
Architecture
CCAR-P
Advanced multi-tenant systems, high-scale agent orchestration, & governance.
02. Exam Format & Specifications
| Questions | 53 items (Multiple-choice & multiple-response), sampled directly from the blueprint |
|---|---|
| Duration | 120 minutes (~2.25 minutes per item) |
| Passing Benchmark | Scaled score of 720 (range: 100–1,000) |
| Testing Delivery | Pearson VUE OnVUE (remote proctored) or Authorized Test Centers |
| Registration Fee | $125 USD per attempt (No complimentary retakes) |
| Prerequisites | Corporate association with a Claude Partner Network tier (Free "Registered" tier eligible). Working Python or TypeScript and Claude API experience recommended |
| Cooldown / Retake Policy | Attempt 2: 14-day wait | Attempt 3: 30 days | Attempt 4: 90 days (Max 4/year) |
| Validity & Renewal | 12 months; free, non-proctored annual renewal module |
03. Exam Domains & Blueprint Weights
Half the exam (49.9%) sits in just two domains: Applications & Integration and Model Selection & Optimization. Prompt wording alone will not carry you — you must know API mechanics, cost and latency trade-offs, and how production code handles Claude's responses.
| Domain | Weight | Core Evaluated Skills |
|---|---|---|
| 1. Agents & Workflows | 14.7% | Workflow vs. agent choice, Claude Agent SDK, custom agent loops, subagents, hosted vs. self-hosted deployment. |
| 2. Applications & Integration | 33.1% | Messages API, streaming, vision, extended thinking, prompt caching, Message Batches API, stop_reason handling. |
| 3. Claude Code | 3.1% | CLAUDE.md configuration, Skills, slash commands, hooks, headless automation. |
| 4. Evaluation, Testing & Debugging | 2.6% | Identifying API error types, eval design, graders, regression testing, diagnosing model behavior. |
| 5. Model Selection & Optimization | 16.8% | Opus vs. Sonnet vs. Haiku trade-offs, token usage tracking, cost modeling, latency optimization. |
| 6. Prompt & Context Engineering | 11.0% | System prompts, XML structure, few-shot examples, context rot, RAG, just-in-time context. |
| 7. Security, Safety & Guardrails | 8.1% | Prompt injection defense, jailbreak mitigation, data privacy, output guardrails. |
| 8. Tools, Function Calling & MCP | 10.6% | Tool schemas, tool_choice, parallel tool calls, building MCP servers, client integration. |
04. Ideal Candidate Profile
Built For
- Software engineers integrating the Claude API into products.
- Backend and full-stack developers shipping AI features.
- AI engineers building agents with the Claude Agent SDK.
- Developers writing tools and MCP servers for Claude.
Out of Scope (Choose CCAO-F or CCAR)
- Business users relying on Claude for daily productivity (CCAO-F).
- Architects owning multi-agent system design decisions (CCAR-F).
- Leads governing high-scale, multi-tenant platforms (CCAR-P).
05. Why Candidates Fail & How Claudemock Solves It
Studying the Wrong Domains
Candidates over-prepare prompting (11%) and under-prepare API integration (33.1%).
Claudemock: Weight-matched mocks and a domain radar show where points are lost.
API Features You Rarely Use
Batches, caching, tool_choice, and stop_reason handling appear even if your job never touches them.
Claudemock: Full rationale breakdowns explain exactly why traps fail.
Closed-Book Format
No docs, no IDE, no AI assistant — API behavior must come from recall.
Claudemock: Domain drills internalize key API mechanics without hints.
06. Recommended 4-Week Study Sprint
Week 1
Core API & Foundations
Read the official CCDV-F exam guide. Complete Anthropic Academy's Building with the Claude API, Introduction to Model Context Protocol, and Claude Code in Action. Set up an API key, SDK, and scratch project.
Week 2
Domain-by-Domain Drilldowns
Complete all practice modules on Claudemock.com, prioritizing Applications & Integration and Model Selection & Optimization. Read all feedback rationales, especially for correct answers.
Week 3
Hands-on Build
Ship one small app end-to-end: streaming responses, a tool-calling loop, prompt caching, a Message Batches job, a simple MCP server, prompt-injection guardrails, and a basic eval set.
Week 4
Simulated Full Mocks & Pacing
Complete two timed, closed-book Claudemock exams in single sittings. Verify your domain radar chart stays consistently above 85% before scheduling on Pearson VUE.
07. Sample Examination Questions
Original practice questions matching official CCDV-F depth and difficulty.
Domain 2: Applications & Integration
A team must summarize 40,000 archived documents. Results are needed by the next morning, nothing is user-facing, and cost is the main constraint. Which approach fits best?
A. Stream each request so results arrive faster
B. Submit the work through the Message Batches API
C. Send requests in parallel from many workers to finish sooner
D. Concatenate all documents into one very long request
Correct Answer: B.
The Message Batches API is built for large, non-urgent workloads: it processes requests asynchronously at a significant discount. Streaming and parallelism optimize latency, which this task does not need, and one giant request exceeds practical context limits.
Domain 8: Tools, Function Calling & MCP
Your application receives a response with stop_reason: "tool_use". Which two things must the next request include for the conversation to continue correctly? (Select 2)
[A] The assistant message containing the tool_use block, in the message history
[B] A higher max_tokens value so the model can finish its answer
[C] A user message with a tool_result block whose tool_use_id matches the call
[D] tool_choice set to "none" to prevent further tool calls
Correct Answers: A and C.
The API is stateless: your code runs the tool, keeps the assistant's tool_use turn in history, and returns the output as a tool_result tied to the same tool_use_id. A tool_use stop is not a token-limit problem, and disabling tools would break legitimate follow-up calls.
Domain 5: Model Selection & Optimization
A support app sends the same 20,000-token product manual at the start of every request, followed by a short customer question. Input costs and time-to-first-token are too high. What is the most effective first change?
A. Move the manual to the end of the prompt
B. Enable prompt caching on the static manual prefix
C. Lower max_tokens on every request
D. Switch every request to Opus for better comprehension
Correct Answer: B.
A large, unchanging prefix reused across requests is the textbook case for prompt caching, which cuts both input cost and latency on cache hits. max_tokens limits output, not input, and a larger model raises cost.
08. Frequently Asked Questions
It is labeled "Foundations" for the Claude platform, but it assumes real coding and API experience. Developers who have shipped at least one Claude application with tools, streaming, and caching find it manageable; those who have only used Claude in chat usually do not.
Yes. Registration requires access through Anthropic Partner Academy. Candidates must link an organization enrolled in the Claude Partner Network (the free "Registered" tier is sufficient) before Pearson VUE checkout unlocks.
CCAR-F tests architectural judgment through 60 items anchored to production scenarios, with Claude Code as a 20% domain. CCDV-F tests hands-on building through 53 blueprint-sampled items, weighted heavily toward API integration and model optimization, with Claude Code at just 3.1%.
No. Pearson VUE exams are closed-book and monitored via OnVUE webcam supervision or on-site proctors. Browser lockdowns prevent the use of secondary monitors, external tabs, API docs, or AI assistants.
You must wait 14 days before taking Attempt 2, 30 days before Attempt 3, and 90 days before Attempt 4 (limited to 4 attempts within any rolling 12-month period). Retakes require payment of the full $125 fee.
Ready to Pass CCDV-F on Your First Attempt?
Sharpen your timing, lock in API mechanics, and track domain-level readiness across all eight domains with Claudemock™ practice exams.
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