CClaude Cert Prep

Explainers

Claude concepts, explained

In-depth, plain-English explainers for the ideas the Claude certifications actually test. Each leads with a direct answer, goes deep, and ends with the practice that turns understanding into judgment.

CCAR-P · P18 min

Agents vs Workflows in Claude, Explained

The difference is who decides the next step — your code or the model — and the rule is to pick the least autonomy that solves the problem.

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CCAR-P · P310 min

MCP (Model Context Protocol), Explained

How an open client/server protocol lets you plug tools, data, and prompts into Claude once and reuse them everywhere.

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CCAR-P · P39 min

MCP Authentication & Authorization, Explained

How to secure a Model Context Protocol integration with OAuth and per-user delegated tokens, and why the trap answer hands the server a shared secret or a broad token.

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CCAR-P · P310 min

RAG vs Long Context: When to Use Which

A practical decision rule for architects: retrieve when the corpus is large, changing, or access-controlled; stuff the window when it is small, stable, and fits.

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CCAR-P · P38 min

Tool Use and tool_choice in Claude, Explained

How the tool-use loop works, why descriptions drive selection, and the tool_choice trap the exam loves to test.

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CCAR-P · P28 min

Claude Context Windows & Context Engineering, Explained

Why the context window is a budget you curate, not a bucket you fill

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CCAR-P · P28 min

Structured Output & JSON with Claude, Explained

Force the shape with tools and schemas, then validate the meaning

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CCAR-P · P18 min

The Message Batches API, Explained

What Batches is, when to use it, and the myth that batch jobs cannot use tools.

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CCAR-P · P38 min

Observability & Tracing for Claude Agents, Explained

What to instrument in an LLM agent, why per-span traces matter, and how to tell a model failure from an orchestration failure.

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CCAR-P · P48 min

Cost Governance & Token Budgeting for Claude, Explained

The levers that control Claude spend at scale — model right-sizing, prompt caching, batching, token budgets, and cost SLAs.

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CCAR-P · P48 min

Evaluating Claude: Evals & LLM-as-Judge, Explained

How to actually know a Claude-powered system works — and why a model's confidence score is not its accuracy.

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CCAR-P · P58 min

Prompt Injection & Tool Poisoning, Explained

Why untrusted content in the context window is an instruction-injection attack, and how to actually defend against it.

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CCAR-P · P58 min

Fail-Closed Guardrails & Safety Controls, Explained

Why a safety check that blocks when it errors protects you, and why one that fails open is worse than having no check at all.

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CCAR-P · P59 min

Agent Security & Least Privilege, Explained

Why the safest agent is the one you gave the fewest tools, and why the exam's favourite wrong answer adds a guardrail instead of removing a capability.

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CCAR-P · P69 min

Incident Response for Claude Systems, Explained

How to handle a production incident in an LLM system the way you'd handle any outage: detect, contain, diagnose, roll back, and learn, from a runbook you wrote before the pager went off.

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CCAR-P · P68 min

Migrating Claude Model Versions Safely, Explained

Why the release-day upgrade is a production change like any other, and how to move to a new Claude model without shipping a silent regression.

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