This is the CCA-F exam tips and strategies page I wish existed when I sat down with the official guide for the first time. It is written from the perspective of someone who has prepped multiple cert candidates through their first vendor cert — and, more specifically, through the early launch window of the Claude Certified Architect — Foundations exam. The material is opinionated. Every "I have seen people do X" line is a real failure mode I have watched in the field. The intent is simple: get you from "I just registered for CCA-F" to "I passed CCA-F" in 30 days, with the fewest preventable mistakes.
If you are looking for the what (format, scoring, prerequisites), read the CCA-F Exam Overview note first. This page is the how — how you study, how you manage time, how you spot traps, and how you walk into exam day calm. Throughout, CCA-F exam tips are framed in priority order: do the high-yield things first, and only fall back to lower-yield techniques if you have study time left over.
What CCA-F Actually Tests vs What Candidates Expect
CCA-F is an architectural decision-making exam. The Claude Certified Architect — Foundations exam tests whether you can pick the right production-Claude design choice from four scenario-based options. It is not a coding exam, not a prompt-writing exam, and not a Claude-model-trivia exam. The 60 questions are 4-option single-correct multiple choice, drawn from 4-of-6 scenarios chosen at random per sitting.
The most common mistake I see candidates make is studying for the wrong exam. Candidates from a cloud-architect background expect a CCA-F exam that looks like AWS Solutions Architect. Candidates from an ML-engineering background expect something that looks like the Google ML Engineer cert. Candidates from a prompt-engineering background expect a long-form prompt-writing test. None of these are right.
The CCA-F exam tests architectural decision-making for production Claude systems. The questions present a scenario, describe a system, and ask which of four options is the best architectural choice. You will not be asked:
- to write code
- to predict Claude's exact output for a prompt
- to identify which Claude model is fastest or cheapest
- to compare AWS Bedrock to GCP Vertex
- to recall internal Anthropic training methodology
You will be asked:
- which
stop_reasonvalue drives loop continuation (Domain 1) - whether to use single-agent or coordinator-subagent for a given workload (Domain 1)
- how to design a tool description so Claude picks it over a sibling tool (Domain 2)
- which Claude Code config file (
CLAUDE.mdvs.mcp.jsonvs path-specific rules) belongs in which directory (Domain 3) - when to enforce structured output via
tool_choice: forcedvs few-shot prompting (Domain 4) - how to manage context across a 30-iteration loop (Domain 5)
If your study material does not look like the second list, redirect. The CCA-F exam is narrow and deep within Claude's agent surface; the breadth of cloud-architect exams does not apply.
Treat the official Anthropic CCA-F Exam Guide PDF as your only authoritative scope document. If a third-party study guide or course covers material the official guide marks as out-of-scope, ignore that material — you will not be tested on it. Out-of-scope topics include fine-tuning, RLHF, Constitutional AI, vision, computer use, MCP server hosting, embedding internals, OAuth, and cloud provider specifics. Time spent on out-of-scope material is strictly wasted. Source ↗
CCA-F 30-Day Study Plan — A Realistic Path to Pass
Here is the CCA-F 30-day study plan I recommend to candidates who can spend roughly 1.5 hours per weekday and 4 hours per weekend day. Total time commitment: roughly 50–60 hours.
Week 1 (Days 1–7) — Orientation and Domain 1 Foundations
- Day 1: Read the official CCA-F Exam Guide PDF cover to cover. Read it again. Underline every term that appears more than twice.
- Day 2: Read the CCA-F Exam Overview note. Memorise the format numbers (60 / 120 / 720 / $99 / 6 scenarios / 4 of 6).
- Days 3–7: Domain 1 deep dive — agentic loops, coordinator-subagent, subagent invocation, multi-step workflows, hooks, task decomposition, session state. Domain 1 is 27% of the exam; spend a full week on it.
Week 2 (Days 8–14) — Domains 2 and 3
- Days 8–10: Domain 2 — tool design, MCP integration, structured errors,
tool_choice, built-in tools. Pay extra attention to how Claude picks between similar tools (this is the most-asked Domain 2 pattern). - Days 11–14: Domain 3 — Claude Code, CLAUDE.md hierarchy, custom slash commands, path-specific rules, plan mode, iterative refinement, CI/CD integration. Domain 3 is heavy on config-file mechanics; make a one-page cheat sheet of where each config file lives in the directory tree.
Week 3 (Days 15–21) — Domains 4 and 5
- Days 15–18: Domain 4 — prompt engineering, few-shot, structured output via tool use + JSON Schema, validation/retry loops, batch processing, multi-instance review.
- Days 19–21: Domain 5 — long conversation context, escalation patterns, error propagation across multi-agent systems, context management in large codebases, human review workflows, provenance.
Week 4 (Days 22–30) — Practice, Practice, Patch Weak Spots
- Days 22–24: Take a full 60-question practice exam under timed conditions (120 minutes). Score yourself, identify your two weakest domains, and re-read those notes.
- Days 25–27: Take a second timed practice exam. If you scored under 75%, identify the specific topics that pulled you down and drill those.
- Day 28: Light review only. Re-read the official exam guide one more time and skim your one-page domain cheat sheets.
- Day 29: Stop studying. Sleep early. Set up your test environment.
- Day 30: Exam day.
This is not the only viable plan, but it works for the median candidate with full-time work commitments. If you have less time per week, stretch it to 6 weeks instead of compressing — the CCA-F exam punishes shallow preparation.
On every practice exam you take, write down why you got each wrong question wrong. The four buckets are: (1) didn't know the concept, (2) misread the question, (3) talked myself out of the right answer, (4) ran out of time. Each bucket has a different fix. "Didn't know" needs more study; "misread" needs slower reading; "talked out of" needs trust-the-first-instinct discipline; "ran out of time" needs pacing practice. Do not re-study without diagnosing the bucket first. Source ↗
Domain Priority Order — Where Time Yields the Most Marks
If you have to triage study time, prioritise by domain weight × your weakness. The matrix below ranks domains by yield-per-study-hour:
| Priority | Domain | Weight | Why |
|---|---|---|---|
| 1 | Domain 1 (Agentic Architecture) | 27% | Largest weight; agentic loops underpin three other domains |
| 2 | Domain 3 (Claude Code) | 20% | Heavy on memorisable config files; high yield per study hour |
| 3 | Domain 4 (Prompt Engineering) | 20% | Structured output mechanics are testable shapes |
| 4 | Domain 2 (Tool Design / MCP) | 18% | Conceptually overlaps Domain 1; some leverage |
| 5 | Domain 5 (Context / Reliability) | 15% | Smallest weight but deepest scenarios; do not skip |
Most failed CCA-F attempts I have seen come from under-investing in Domain 1. Candidates assume they "already get agents" because they have built one, then miss stop_reason mechanics or termination-guard requirements. Do not fall into this trap.
Six Scenario Patterns — How to Recognise Each on the CCA-F Exam
The CCA-F exam dresses every architectural concept inside one of six published scenarios. Recognising the scenario fast lets you anchor the rest of the question. Here is a one-line recognition cue for each:
- Customer Support Resolution Agent — keywords: "ticket", "customer", "knowledge base", "escalate", "CRM lookup". Pattern: long agentic loop with human escalation.
- Code Generation with Claude Code — keywords: "developer", "edit this file", "refactor", "test authoring", "Claude Code". Pattern: interactive agent with file system tools.
- Multi-Agent Research System — keywords: "research", "synthesise", "multiple sources", "parallel", "coordinator". Pattern: coordinator-subagent fan-out.
- Developer Productivity with Claude — keywords: "SDK", "headless", "autonomous task", "long-running", "codebase". Pattern: SDK-driven loops over a real repo.
- Claude Code for CI/CD — keywords: "pipeline", "GitHub Actions", "non-interactive", "PR review", "
-pflag". Pattern: scripted Claude Code in CI. - Structured Data Extraction — keywords: "extract", "JSON", "schema", "fields", "validation", "from documents". Pattern: enforced-structure output with validation/retry.
Why You Only See 4 of 6 Scenarios on Test Day
Anthropic randomly selects four of six scenarios per sitting. This is the most-misunderstood mechanic of the exam. The implication for CCA-F study strategy:
- You must prepare all six scenarios. Skipping any one is a 1-in-3 chance of losing a quarter of the test.
- You cannot influence which four appear. Do not waste mental energy on "I hope I get the easy ones."
- You should allocate equal study time per scenario. The strongest preparation profile is "I am ready for any four of six."
A persistent CCA-F trap pattern is the candidate who sees a scenario keyword in the stem ("CI/CD", "PR review") and pattern-matches to "this is the CI/CD scenario, the answer must mention -p." Wrong. Some questions present a CI scenario but ask about agentic loop mechanics, MCP integration, or context management. The scenario sets the setting, not the answer. Always read the actual question before pattern-matching.
Source ↗
Plain-Language Explanation: How Top Scorers Approach CCA-F
Three analogies from outside the exam world map well onto how the highest-scoring candidates approach CCA-F.
Analogy 1: The Marathon Runner — Pacing Beats Sprinting
Treat the CCA-F exam like a marathon, not a sprint. The 120-minute clock is generous (2 minutes per question), and the questions are roughly equally weighted. The candidates I see fail are almost never the candidates who ran out of knowledge — they are the candidates who spent 8 minutes on question 4 because it felt important, and then had to rush questions 50 through 60. A marathoner does not sprint the first mile. The most-passed pacing pattern is: aim to finish all 60 questions in 90 minutes, then use the remaining 30 minutes to review every flagged question. The 90-minute pace gives you 1.5 minutes per question on first pass — enough to read carefully, eliminate two distractors, and commit to an answer. If you cannot resolve a question in 90 seconds, flag it and move on. You will come back. Always.
Analogy 2: The Chess Player Studying Openings — Recognise the Pattern, Then Play
A grandmaster does not calculate 20 moves from move one of every game; they recognise the opening, recall the standard plan, and only enter deep calculation once the position becomes critical. CCA-F exam questions work the same way. The first sentence of the stem usually tells you which scenario you are in (customer support? code generation? CI/CD?) and which domain the question lives in (agentic loops? structured output? Claude Code config?). Once you have placed the question on this two-axis map, your remaining job is small: pick the answer that is the right architectural call for that scenario × domain cell. Train your first-pass recognition during practice exams. Top scorers spend 15 seconds placing the question and 75 seconds picking the answer; bottom scorers spend 75 seconds confused and 15 seconds guessing.
Analogy 3: The Pilot's Pre-Flight Checklist — Trust the Routine on Exam Day
Senior pilots run the same pre-flight checklist on every flight, even after thousands of hours, because the checklist guarantees nothing critical is forgotten under pressure. Exam day is the same. You should walk into the CCA-F exam with a rehearsed routine: same breakfast, same coffee, same pre-warm-up (a few easy practice questions), same workspace setup, same first-five-minutes plan once the exam starts ("read all 60 question titles, flag any that obviously need extra time"). The routine removes decision fatigue. You are not deciding what to do at minute 0 of the exam; you are executing a script. The candidates I see crash on exam day are almost always the candidates who improvised because they did not rehearse the routine in practice. Rehearse it in your final week.
Time Management — The 2-Minute-Per-Question Discipline
The CCA-F exam gives you exactly 120 seconds per question on average. Here is the time-management discipline that consistently produces passing scores:
Pass 1 (0:00–1:30:00) — Cover All 60 Questions
Read every question. For each:
- If you can answer in under 90 seconds with high confidence, commit and move on.
- If you need more time, flag and move on.
- Never spend more than 2.5 minutes on a single question in pass 1.
Goal at minute 90: every question has either an answer or a flag. No question is unread.
Pass 2 (1:30:00–2:00:00) — Review Flagged Questions
You should now have 30 minutes for the flagged subset (typically 10–20 questions). For each:
- Re-read the stem slowly.
- Eliminate two options definitively.
- Pick between the remaining two using scenario-fit reasoning.
- Always commit — never leave blank.
Last 5 Minutes — Final Sweep
Glance through every answer. Confirm nothing is blank. Submit.
Pacing Trap
The single most common time-management failure I see is the candidate who treats every question as if it must be solved on first sight. This produces a pattern of 8–10 minutes spent on questions 3, 7, and 12 — and the candidate hits question 50 with 6 minutes left on the clock. Trust the pass system: flag and move on. Ego is the enemy.
Reading the Question Stem — Spotting Distractor Keywords
Every CCA-F exam question stem contains keywords that telegraph the right answer. Train yourself to spot them:
- "autonomous" — the question wants an agentic loop, not single-turn inference.
- "scripted" / "non-interactive" / "batch" — the question wants
run()or-p, notstream(). - "real-time" / "interactive" — the question wants
stream(), notrun(). - "long-running" / "many iterations" — the question wants context management (compaction, subagent isolation, scratchpad files).
- "strict format" / "must conform" — the question wants tool-use enforced output with JSON Schema.
- "the agent must investigate" — the question wants tool calls and a loop, not direct prompting.
- "low confidence" / "ambiguous" — the question wants escalation or clarification.
When you see one of these keywords, note it before reading the options. Then read the options with that keyword in mind. This converts a 2-minute question into a 60-second one.
Most Common CCA-F Trap Patterns Across Six Scenarios
I have catalogued five trap patterns that appear repeatedly in CCA-F questions. Memorise these.
Trap 1: Treating end_turn as an Error
end_turn means "Claude finished the task successfully." Distractors will frame it as "the model gave up" or "the loop failed." Both are wrong. end_turn is the happy path. If you see it framed negatively in any option, that option is incorrect.
Trap 2: Treating max_tokens as Normal Completion
max_tokens mid-loop is a truncation signal, not a graceful finish. The response was cut off. Treating it as success — returning the truncated content as the final answer — is a common architectural bug and is directly tested. Correct handling: extend budget, append "continue", or abort with explicit error.
Trap 3: Defaulting to process() When run() Suffices
The exam penalises over-engineering. If a scenario describes batch / scripted / non-interactive work, the right answer is run(). If a human is watching incremental output, the right answer is stream(). Reach for process() only when the other two cannot express the loop shape. Defaulting to the lowest-level primitive is a design smell the exam exploits.
Trap 4: Skipping Iteration Caps on Production Loops
Every production agentic loop needs at least an iteration cap plus one additional guard (timeout, token budget, repeated-state detection, human escalation). Answers that omit the cap are incorrect even when the rest of the design is sound. Anthropic treats this as a baseline safety expectation.
Trap 5: Confusing Scenarios for Answers
A CI/CD scenario does not mean the answer must mention -p. A multi-agent-research-system scenario does not mean every answer must invoke a coordinator. The scenario sets context; the question sets what is being asked. Always re-read the actual question before committing to an answer that pattern-matched on the scenario.
The CCA-F exam consistently rewards candidates who can distinguish between what an option says and whether it answers the asked question. A technically correct architectural pattern that does not address the scenario's specific constraint is wrong. The right answer is always the one that best fits the asked-about constraint, not the most architecturally sophisticated option on the list. Source ↗
When to Skip and Mark vs Commit and Move On
Beginners hesitate to skip. They feel that skipping is "giving up." This is the wrong framing. Skipping with a flag is a deferral, not a forfeit. Skip when:
- After 60 seconds, you cannot eliminate at least two of the four options.
- The question hinges on a fact you are not sure of (e.g., exact field name in
AgentDefinition). - You feel a strong intuition but cannot justify it logically — flag it, come back, see if the intuition holds on second read.
Commit and move on when:
- You can confidently eliminate two distractors.
- You have a single answer with reasoning you can articulate.
- You have spent 90 seconds and the question is not getting easier.
A common high-scorer pattern is to commit on first instinct for ~50 questions and flag the remaining ~10 for second-pass review. A common low-scorer pattern is to flag 30+ questions, run out of time on the second pass, and submit half-reviewed.
What to Read Before the CCA-F Exam — Official Sources Only
In your final week, read only official Anthropic sources. Third-party content is fine during weeks 1–3, but in week 4 your goal is to anchor on the language Anthropic uses. The minimum reading list:
- The CCA-F Exam Guide PDF (front to back, twice).
- Anthropic Tool Use overview docs — full page.
- Anthropic Agent SDK overview — full page.
- Anthropic Building Effective Agents engineering blog — full read.
- Anthropic Writing Tools for Agents engineering blog — full read.
- Model Context Protocol specification — at least the introduction and primitives sections.
- Claude Code documentation — CLAUDE.md, slash commands, plan mode,
-p/--printflag.
If you have studied from third-party sources during weeks 1–3, double-check terminology against the official docs in week 4. The exam uses Anthropic's own vocabulary; mismatched terminology costs points.
What CCA-F Practice Volume Actually Predicts Passing
I get asked frequently: how many practice questions do I need to do? The candidates I have seen pass cluster around 150–300 practice questions over the 30-day prep window. The candidates I have seen fail cluster around two extremes: under 100 (insufficient pattern recognition) or over 600 (burnout, with diminishing returns past question 400).
Quality matters more than quantity. 150 questions reviewed thoroughly — every wrong answer diagnosed by bucket (didn't know / misread / talked out of / ran out of time) — beats 500 questions skimmed without review. Track your wrong-answer bucket distribution and adjust study accordingly.
A reasonable cadence:
- Weeks 1–2: ~30 questions per week, focused on the domains you just studied.
- Week 3: ~50 questions across all domains.
- Week 4: two full 60-question timed exams plus ~30 follow-up drills on weak spots.
Day Before the CCA-F Exam — Sleep, Coffee, Whiteboard, Quiet Room
The day before the CCA-F exam is for logistics, not study. Specifically:
- Sleep — go to bed at your normal time, target 8 hours. New caffeine routines are not for tonight.
- Coffee — if you normally have coffee, plan tomorrow's coffee identical to a normal workday. No experiments.
- Whiteboard / cheat sheet review — spend 30 minutes reviewing your one-page domain cheat sheets. Do not open new material.
- Quiet room setup — confirm your test room is quiet, single screen, no second monitor visible, no notes on the wall, no phone on the desk.
- Government photo ID — confirm it is in your wallet and matches the name on your Skilljar registration.
- Bathroom break — go right before the exam starts. The proctor will not let you leave.
- Water bottle — have water within reach, label removed (some proctors require this).
- Charger plugged in — laptop on AC power, not battery, for the full 2 hours.
- Test the proctor software — Skilljar's environment check should be done in advance, not on exam morning.
Day-before-exam checklist (everyone forgets at least one):
- Government photo ID in wallet
- Laptop AC charger plugged in
- Quiet room, single screen, no notes on wall, no second monitor
- Phone silenced and out of reach (not just on the desk)
- Water bottle (label removed if proctor requires)
- Bathroom break right before start
- Skilljar booking link bookmarked
- Sleep 8 hours; do not pull an all-nighter studying
Day Of — Order of Operations from Login to Submit
Walk into exam morning with this script in your head:
- T-30 min: Wake up at normal time, normal breakfast, normal coffee, no new variables.
- T-15 min: Log into Skilljar, run the proctor environment check.
- T-5 min: Bathroom break. Final water. Phone in another room.
- T-0: Proctor admits you. Show ID. Show room (360-degree pan). Sit down.
- Minute 0: Exam loads. Take 30 seconds to breathe before starting.
- Minutes 0–5: Quick scan of the first 5 questions — anchor your pacing rhythm. Do not race.
- Minutes 5–90: Pass 1. Commit or flag. No question takes more than 2.5 minutes.
- Minutes 90–115: Pass 2. Re-read flagged questions, commit answers.
- Minutes 115–119: Final sweep. Confirm no blanks.
- Minute 119: Submit. Result appears within seconds.
If you pass, take a screenshot of the result page. If you fail, save the domain breakdown — that is your retake roadmap.
If you finish all 60 questions in pass 1 with significant time remaining, resist the urge to second-guess answers you committed confidently. Studies on multiple-choice testing consistently show that changing a confident answer is more likely to make it wrong than right. Use review time only on questions you flagged. The answers you committed on first instinct are usually correct; do not let nervous energy talk you out of them. Source ↗
Background-Specific Advice — If You Came From X, Read Y First
Different starting backgrounds have different weak spots on CCA-F. Tailor your study order:
If You Are a Cloud Architect (AWS / GCP / Azure)
You will find the exam format familiar but the content unfamiliar. Domain 1 (agentic architecture) is your weakest area because it has no analogue on cloud architect exams. Spend extra time on agentic loops, stop_reason, and coordinator-subagent patterns in week 1. You will pick up Domains 3–5 faster than agent-newcomers.
If You Are a Prompt Engineer / Generative AI Hobbyist
You will find Domain 4 (prompt engineering and structured output) your strongest area. Domain 1 is your weakest — you have probably not built an agent that loops on tool_use. Spend week 1 actually building a small agent with the Agent SDK before reading any notes. Hands-on beats reading for this domain.
If You Are a DevOps / Platform Engineer
You will find Domain 3 (Claude Code, CLAUDE.md, CI/CD) intuitive. Domain 4 (prompt engineering) is your weakest — explicit-criteria prompts and few-shot examples are not natural to the DevOps mindset. Spend extra time on structured output via tool use + JSON Schema because this is the prompt-engineering pattern that matters most for agent design.
If You Are a Data Engineer / ML Engineer
You will find structured extraction (Domain 4.4) intuitive. Domain 3 (Claude Code, slash commands, MCP integration) is your weakest because it is highly specific to Anthropic's tooling. Spend a full week on Domain 3 — do not assume your ML background covers it.
If You Have No Software Background at All
The CCA-F exam will be a stretch. The recommended 6+ months of hands-on Claude experience is not negotiable for non-engineers — this is an architecture exam, and architecture without engineering grounding tends to score in the 50–60% raw range. Build something with the Agent SDK before booking.
FAQ — CCA-F Exam Strategy Top Questions
How long should I study for the CCA-F exam?
Plan for 30 days at roughly 50–60 hours total if you have prior Claude / agent-building experience. Stretch to 6 weeks at 70 hours total if you are coming from a related field (cloud architect, ML engineer) without hands-on Claude work. Compressing to under 2 weeks is risky unless you already work daily with Claude in production. The bottleneck is rarely raw study volume; it is practice-question review depth and scenario-recognition speed, both of which need calendar time.
What is the best way to manage time during the CCA-F exam?
Two-pass strategy. Pass 1 (first 90 minutes): cover all 60 questions, commit or flag each within 2.5 minutes maximum. Pass 2 (next 25 minutes): re-read flagged questions, commit answers. Final 5 minutes: confirm no blanks, submit. The single highest-leverage discipline is flagging without ego — if a question is taking too long, flag it and move on. The candidates I have seen fail are almost always the candidates who fixated on hard questions early and ran out of time on easy ones late.
What are the most common CCA-F traps and how do I avoid them?
Five recurring trap patterns. (1) Treating end_turn as an error — it is the happy path. (2) Treating max_tokens as normal completion — it is truncation, not finish. (3) Defaulting to process() instead of run() or stream() — over-engineering is penalised. (4) Omitting iteration caps on production loops — Anthropic treats caps as baseline safety. (5) Pattern-matching on scenario keywords without reading the actual question. Memorise all five before exam day; expect to see at least three of them in your 60-question set.
Should I take practice exams under timed conditions?
Yes — at least two full 60-question timed practice exams in the final week. Untimed practice trains pattern recognition; timed practice trains pacing under pressure, which is a separate skill. Most candidates who fail the CCA-F exam do so because their pacing collapsed — knowledge was sufficient, but they ran out of time. You cannot fix pacing without rehearsing it under the same time constraint.
How important is hands-on experience versus reading the docs?
Hands-on experience is more important than reading volume for Domain 1 (agentic architecture) and Domain 3 (Claude Code). Reading is more important than hands-on for Domain 4 (structured output) and Domain 5 (context management). The most efficient profile is build at least one agent end-to-end during weeks 1–2, then read the docs cover to cover during weeks 3–4. Pure readers tend to score 5–10 points lower than candidates who have shipped something with the Agent SDK.
What should I do if I fail the CCA-F exam on my first attempt?
Read your domain breakdown carefully — Anthropic's score report tells you which domains pulled your score down. Spend two to three weeks on only those domains before retaking. Do not re-read every domain — the ones you passed are still solid. Most failed candidates pass on retake within 3 weeks of focused study on their two weakest domains. Failing once is not a signal to abandon the certification; it is a signal to redirect study time to the right places.
Is it worth taking the CCA-F exam if my employer is not asking for it?
If you work with Claude in production, yes — CCA-F is the cheapest way to validate your architectural decision-making at the foundational level ($99 standard, free for Partner Network members), and the credential is durable as Anthropic builds out advanced tiers. If you do not work with Claude at all, the cert is interesting but not urgent; treat it as a learning credential rather than a job-market credential. The advanced architect tier later in 2026 is where the cert begins to differentiate senior candidates.
How do I keep my CCA-F preparation balanced across all six scenarios?
Build a scenario tracker spreadsheet. Across the top, list the six scenarios (customer-support, code-generation, multi-agent-research, developer-productivity, claude-code-CI, structured-extraction). Down the side, list the 30 task statements. Tick each cell as you study it. The goal is to have every scenario column equally filled by week 4. If one column is sparse, prioritise study material that exercises that scenario. Remember: 4 of 6 rotate randomly; you cannot afford a sparse column.
Further Reading — Official Sources and Community Pass Reports
- Official CCA-F Exam Guide (PDF): https://everpath-course-content.s3-accelerate.amazonaws.com/instructor/8lsy243ftffjjy1cx9lm3o2bw/public/1773274827/Claude+Certified+Architect+%E2%80%93+Foundations+Certification+Exam+Guide.pdf
- CCA-F booking and access request: https://anthropic.skilljar.com/claude-certified-architect-foundations-access-request
- Building effective agents — agentic loop reference: https://docs.anthropic.com/en/docs/build-with-claude/agentic-loop
- Agent SDK overview: https://docs.anthropic.com/en/docs/claude-code/sdk/sdk-overview
- Tool use overview: https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/overview
- Model Context Protocol specification: https://modelcontextprotocol.io/specification
Related ExamLab notes: CCA-F Exam Overview, Agentic Loops for Autonomous Task Execution, Multi-Agent Orchestration with Coordinator-Subagent Patterns, Context Management in Large Codebase Exploration.