Exam guide·8 min read·3 October 2026

CCDV-F vs CCAR-F: Domain Weights and Format Compared

Choosing between CCDV-F vs CCAR-F? We compare domain weights, question counts, and exam format to help you pick the right Claude certification for your role.

By Solomon Udoh · AI Architect & Certification Lead

CCDV-F vs CCAR-F: Domain Weights and Format Compared

The question of ccdv-f vs ccar-f comes up early in every Claude Partner Network study plan. Both exams carry the same $125 price tag, the same 120-minute window, and the same 720 passing threshold on a 100 to 1000 scale. They differ in almost everything else: question count, domain structure, target role, and the level of abstraction at which Claude is tested. Picking the right exam first accelerates your study timeline and career positioning. This guide compares both credentials across every dimension that shapes the preparation decision.

What do CCDV-F and CCAR-F actually certify?

The Claude Certified Architect, Foundations (CCAR-F) credential certifies systems-level judgment. Its 60 items test whether you can design, orchestrate, and govern Claude-based pipelines at a level of abstraction above individual API calls. You are deciding how agents compose, how tools distribute across roles, how configuration propagates across environments, and how context degradation is prevented at scale.

The Claude Certified Developer, Foundations (CCDV-F) credential certifies application-level execution. Its 53 items test whether you can call Claude correctly, efficiently, and safely from application code. You are constructing API requests, handling responses, managing context windows, evaluating outputs, and integrating Claude into production systems.

Both launched on 12 March 2026 as part of the Claude Partner Network, a $100M programme. As of 3 June 2026, more than 10,000 individuals hold at least one Claude certification across the four tracks. Neither credential is a prerequisite for the other, and the exam guides treat them as parallel entry points to distinct professional tracks.

How do the domain weights compare between the two exams?

Domain weight is the fastest signal of what each exam rewards. The table below maps equivalent skill areas across both credentials. Where a skill exists only on one exam, the other cell is blank.

Skill areaCCAR-FCCDV-F
Agentic architecture / workflows27% (Domain 1)14.7% (Domain 1)
Tool design / MCP integration18% (Domain 2)10.6% (Domain 8)
Claude Code configuration20% (Domain 3)3.1% (Domain 3)
Prompt and context engineering20% (Domain 4)11.0% (Domain 6)
Context management / reliability15% (Domain 5)
Applications and integration33.1% (Domain 2)
Model selection and optimisation16.8% (Domain 5)
Security and safety8.1% (Domain 7)
Eval, testing, and debugging2.6% (Domain 4)

The contrast is structural. CCAR-F distributes weight across five domains with a 27% ceiling in Agentic Architecture and Orchestration. CCDV-F concentrates weight in a single domain covering 33.1% of the exam, Applications and Integration, before the remaining seven domains share the rest. Mastering CCDV-F Domains 2 and 5 alone gives command of just under 50% of the exam before a candidate opens any other topic.

How do the two exam formats differ?

MechanicCCAR-FCCDV-F
Items6053
Time limit120 minutes120 minutes
Price$125$125
Scaled passing score720720
Score range100 to 1000100 to 1000
Credential validity12 months12 months
Scenario bankYes, 4 drawn from 6 per sittingNo
Domain count58
Item typesMultiple-choice and multiple-responseMultiple-choice and multiple-response
DeliveryPearson VUEPearson VUE

The scenario bank on CCAR-F is the most operationally significant difference. Each sitting draws 4 scenarios at random from a pool of 6. Two candidates sitting the same day may face the same skill domains but different contextual frames. CCAR-F candidates should work through all six scenario families so no draw catches them unprepared.

CCDV-F has no scenario bank. Per the official CCDV-F exam guide (2026-07-08), items are written directly against the skills in each domain rather than constructed around a pre-built scenario. Item variation comes from the breadth of eight domains rather than from scenario-frame variation across five.

Unlike CCAR-F, CCDV-F has no scenario bank; items are written directly against the skills in each domain.

Anthropic , CCDV-F Exam Guide (2026-07-08)

What does the score report tell you after each exam?

Both exams return a pass/fail verdict, a scaled score, and percent-correct by domain. Anthropic does not publish the raw-to-scaled conversion for either exam. On a linear read the CCAR-F pass mark is roughly 41 to 42 correct of 60, but the actual conversion is non-linear. The domain-level percentage breakdown is the most actionable part of the report: it tells you exactly where to invest study time before a retake. Both credentials are valid for 12 months from the award date.

Who should take CCDV-F first, and who should start with CCAR-F?

Take CCDV-F first if you write application code that calls Claude: setting API parameters, handling streaming responses, caching prompts, integrating Claude into data pipelines, or evaluating model outputs. CCDV-F Domain 2 (Applications and Integration, 33.1%) and Domain 5 (Model Selection and Optimisation, 16.8%) directly validate the skills you exercise in production. The developer track is also the stronger fit if your role involves Tool Design and MCP Integration at the implementation level, writing tool definitions and configuring MCP servers from code.

Take CCAR-F first if you design systems that include Claude as a component: specifying agent handoffs, distributing tools across roles, configuring Claude Code for a team, or preventing context degradation at scale. CCAR-F Domain 1 (Agentic Architecture and Orchestration, 27%) and Domain 3 (Claude Code Configuration and Workflows, 20%) reward that systems-design thinking directly.

Some candidates hold both credentials within the same certification cycle. The developer track builds the API fluency that makes architect-level trade-offs concrete; the architect track builds the compositional thinking that makes developer-level decisions more defensible. We see both orderings succeed; the deciding factor is which credential maps most directly to your current role.

Where does the technical depth differ most?

Tool Design and MCP Integration appears on both exams. CCDV-F Domain 8 (10.6%) tests whether you can write tool definitions, configure MCP servers, and handle tool errors in application code. CCAR-F Domain 2 (18%) tests whether you can design the tool distribution strategy across a multi-agent system, including when to split tools, how to scope cross-role access, and how tool descriptions affect model routing behaviour at scale.

Prompt Engineering and Structured Output follows the same pattern. CCDV-F Domain 6 (11.0%) rewards knowing when few-shot examples reduce extraction error and how to manage context windows under token pressure. CCAR-F Domain 4 (20%) applies the same mechanics to compositional prompt chains where a single failure propagates downstream through an agent pipeline.

Context Management and Reliability is a standalone CCAR-F domain at 15%. On CCDV-F it is embedded across other domains. CCAR-F candidates must study context window degradation, summary injection, and session management as a unified body of knowledge.

Claude Code Configuration and Workflows carries 20% on CCAR-F and only 3.1% on CCDV-F. This is the starkest single-domain divergence between the two credentials. Candidates targeting CCAR-F who have not used Claude Code in production should treat this as a substantial investment; those targeting CCDV-F can treat it as low-stakes.

The Agents and Workflows domain on CCDV-F (14.7%) and the Agentic Architecture and Orchestration domain on CCAR-F (27%) cover similar conceptual territory but test different decision layers. CCDV-F items test how you handle tool result errors in a running loop, structure the messages array for multi-turn interactions, or stream responses from a long-running workflow. CCAR-F items test how you design the loop itself: when to add a human checkpoint, how to prevent runaway execution, and how to route errors across a multi-agent system.

What does a practical study split look like for each exam?

Allocating study time in proportion to domain weight is the most mechanically defensible approach. The breakdowns below assume a 12-hour block as the base unit.

For CCAR-F (60 items, 5 domains):

text
Domain 1 Agentic Architecture and Orchestration 27% ~3h 14m
Domain 3 Claude Code Configuration 20% ~2h 24m
Domain 4 Prompt Engineering and Structured Output 20% ~2h 24m
Domain 2 Tool Design and MCP Integration 18% ~2h 09m
Domain 5 Context Management and Reliability 15% ~1h 48m

For CCDV-F (53 items, 8 domains):

text
Domain 2 Applications and Integration 33.1% ~3h 58m
Domain 5 Model Selection and Optimisation 16.8% ~2h 01m
Domain 1 Agents and Workflows 14.7% ~1h 46m
Domain 6 Prompt and Context Engineering 11.0% ~1h 19m
Domain 8 Tools and MCPs 10.6% ~1h 16m
Domain 7 Security and Safety 8.1% ~0h 58m
Domain 3 Claude Code 3.1% ~0h 22m
Domain 4 Eval, Testing, and Debugging 2.6% ~0h 19m

On CCDV-F, Domain 2 alone consumes roughly 4 hours per 12-hour block, more than the four lowest-weighted domains combined. That asymmetry is worth internalising before building a study schedule.

Both exams include multiple-response items where the question states explicitly how many options to select. Partial selection scores zero even when some chosen answers are correct. Practise flagging these items and returning rather than guessing under time pressure. CCDV-F candidates have slightly more time per item on average (approximately 136 seconds versus 120 seconds on CCAR-F).

Each item is scenario-based and tests practical judgment, not recall.

Anthropic , CCAR-F Exam Guide

The CCAR-F exam consistently rewards deterministic solutions over probabilistic ones when stakes are high, proportionate fixes, and root-cause tracing, per Anthropic's exam guide. We observe the same preference on CCDV-F evaluation items, where the correct answer traces to the root cause rather than applies a workaround.

Our adaptive study platform covers all 174 atomic concepts mapped to CCAR-F's five domains and 30 task statements at the AI Skill Certs concept library, alongside adaptive practice exams for both CCAR-F and CCDV-F scored 100 to 1000 against the 720 passing bar. AI Skill Certs is an independent prep platform and is not affiliated with or endorsed by Anthropic.

Frequently asked questions

Does CCDV-F require CCAR-F as a prerequisite?
No. Neither credential is a prerequisite for the other. Both launched on 12 March 2026 as parallel entry points within the Claude Partner Network. Candidates can sit either exam first or hold both simultaneously; each credential is valid for 12 months from the date it is awarded.
Can I hold both CCDV-F and CCAR-F at the same time?
Yes. Many candidates pursue both credentials within the same certification cycle. Each is valid for 12 months from the award date, certifying complementary skills: developer-level API integration on CCDV-F and architect-level system design on CCAR-F. Renewal requires a fresh exam attempt for each credential.
How does the CCAR-F scenario bank affect preparation strategy?
CCAR-F draws 4 of 6 pre-built scenarios at random per sitting, so two candidates on the same day may face different contextual frames. Candidates should work through all six scenario families rather than focusing only on their strongest domains. CCDV-F has no equivalent scenario bank; its items are written directly against domain skills.
Which exam places more weight on Claude Code: CCDV-F or CCAR-F?
CCAR-F places far more weight on Claude Code. Domain 3 (Claude Code Configuration and Workflows) carries 20% of the architect exam. CCDV-F Domain 3 (Claude Code) carries only 3.1%. Candidates targeting CCAR-F who have not used Claude Code in production should invest significantly more study time in this area before sitting.
Do CCDV-F and CCAR-F use the same passing score?
Yes. Both exams are scored on a 100 to 1000 scale and both require a scaled score of 720 to pass. The score report for each returns a pass/fail verdict, the scaled score, and percent-correct by domain. Anthropic does not publish the raw-to-scaled conversion for either exam.
Is Applications and Integration the largest single domain across both exams?
Yes. CCDV-F Domain 2, Applications and Integration, carries 33.1% of the developer exam, making it the single largest domain across either credential. The next largest is CCAR-F Domain 1, Agentic Architecture and Orchestration, at 27%. No other domain in either exam exceeds 25%.

People also ask

What is the difference between CCDV-F and CCAR-F?
CCDV-F (53 items) certifies application developers who build Claude API integrations, with Applications and Integration carrying 33.1% of the exam. CCAR-F (60 items) certifies architects who design Claude-based systems, with Agentic Architecture and Orchestration at 27%. Both cost $125 and require a scaled score of 720 to pass.
Should I take CCDV-F or CCAR-F first?
Take CCDV-F first if you write application code against the Claude API day-to-day. Take CCAR-F first if you design multi-agent systems or govern Claude deployments across teams. Neither is a prerequisite for the other, and many candidates hold both within a single 12-month credential window.
How many questions are on CCDV-F compared to CCAR-F?
CCDV-F has 53 items; CCAR-F has 60 items. Both exams run for 120 minutes, giving CCDV-F candidates slightly more time per item on average. Both use multiple-choice and multiple-response formats, where each multiple-response item states explicitly how many answers to select.
Is CCAR-F harder than CCDV-F?
Difficulty is role-dependent. CCAR-F tests systems-design judgment across 60 scenario-based items drawing from a bank of 6 scenarios. CCDV-F tests API integration skills across 53 items with no scenario bank. The same 720 passing threshold applies to both; Anthropic does not officially rate one as harder than the other.

About the author

Solomon Udoh

AI Architect & Certification Lead

Solomon Udoh is an AI Architect who designs and ships production agent systems on the Claude API and Claude Code. He built AI Skill Certs' adaptive engine and authored its 174-concept knowledge graph, mapping every Claude Certified Architect - Foundations objective to hands-on, exam-aligned practice.

  • Designs production multi-agent systems on the Claude API and Agent SDK
  • Author of the AI Skill Certs knowledge graph (174 mapped exam concepts)
  • Builds with MCP, Claude Code, structured outputs, and agentic loops daily
  • Reviews every concept page against the official Anthropic exam guide

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