About the product

Serious certification prep.
A progress system that feels alive.

Cred Farmer is a study companion for all four Claude Certified exams — Associate, Developer, and Architect (Foundations & Professional). It uses a farming metaphor for the work of getting certified: you plant a study plan, tend it with study sections and practice tests, and harvest a real credential once you have earned it.

How the four sections fit together

Plant a plan, tend it, harvest a credential.

The core experience is familiar: study the guide, take realistic timed mock tests, review the objectives that still need work, and track how ready you are. The farming language just makes that progress visible.

01
Study

Structured sections and flashcards covering every exam domain, for whichever certification you pick.

02
Practice

Full-length timed mock tests, scored the same way the real exam is graded.

03
Progress

A readiness score built from how much you have studied, how broadly you have covered the material, and how well your recent practice attempts have gone.

04
Dashboard

Tracks each certification's streak and readiness, and stores the ones you have earned.

The exam-thinking system

How the exam-thinking system works

The exam is a judgment test disguised as a feature-and-product test. Your job is to choose the best action under constraints—not merely an action that could work.

  • Pass 1 · Learn. Read each domain and convert every decision rule into your own example.
  • Pass 2 · Build. Complete the labs in Claude with non-sensitive practice material. Save prompts, outputs, audits, and corrections.
  • Pass 3 · Test. Take the mastery checkpoint closed-book, then complete the separate timed mock workbook.
  • Pass 4 · Repair. Use the error taxonomy. Re-study the rule that would have eliminated each wrong option.

The DETER exam-thinking system

  1. Define the actual objective. What business outcome, audience, decision, or work product is required? Which facts are explicit and which are tempting assumptions?
  2. Establish authority and evidence. What source, policy, owner, or qualified reviewer controls? Is the answer asking you to trust confidence or presentation instead?
  3. Tune the product, model, and workflow. What is the minimum sufficient feature/model configuration? Should the task be decomposed, persisted, researched, or formatted as an artifact/structured output?
  4. Evaluate exposure. What data, regulatory, ethical, accuracy, bias, or operational risk exists? What happens if the answer is wrong?
  5. Require review, escalation, or evidence. What validation, human approval, stop condition, or feedback loop makes the action defensible?

How to eliminate sophisticated distractors

  • Reject answers that polish before validating, automate before authorizing, or scale before piloting.
  • Reject answers that treat access, confidence, detail, recency, or a citation-looking string as authority.
  • Reject extremes unless the scenario truly requires them: always use Opus, never use Claude, upload everything, verify nothing, or send every case to a human.
  • Prefer answers that explicitly handle missing information, exceptions, source conflicts, and downstream action.
  • For multiple-response items, evaluate each option independently. Select exactly the stated number; do not select a merely helpful step when a more essential control is offered.

Sources: [EG] [AIF]

How to solve sequencing questions

Sequencing items are still multiple-choice questions: five actions are labeled A-E, and the response options present competing orders. Solve the dependency chain before looking at the answer orders.

  • 1. Find prerequisites. Authorization precedes access or use; requirements precede design; evidence collection precedes synthesis.
  • 2. Separate analysis from release. Normalize and reconcile before scoring; validate before approval; approval before external release.
  • 3. Respect control boundaries. Human or source-owner review occurs after evidence is prepared but before a consequential decision is released.
  • 4. Pilot before scale. Baseline, pilot, evaluation, approval, controlled scale, and monitoring form a common sequence.
  • 5. Use option elimination. Reject any order that drafts before evidence, deploys before testing, or uses data before purpose and authorization are confirmed.

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