Claude Certified Architect – Foundations is Anthropic’s technical certification for solution architects building production applications with Claude. ExamCertPro provides independent preparation for the Claude certification exam.
Claude Certified Architect exam topics
Our Foundations preparation covers agentic architecture and orchestration, tool design and MCP integration, Claude Code configuration and workflows, prompt engineering and structured output, and context management and reliability. Check the official certification page for the current Claude architect certification requirements.
Customer Support Resolution AgentAgentic Architecture & Orchestration
A support service is investigating whether a late-delivery fee should be reversed. Claude returns a short explanation and a lookup_order tool_use block with ID tu_41; stop_reason is tool_use. The lookup succeeds, returning delivery timestamps but no refund decision. The customer has already authorized this read-only investigation. The integration must let Claude assess the result and continue without another customer message. Which continuation correctly preserves the tool conversation?
02
Customer Support Resolution AgentTool Design & MCP Integration
A refund tool reports the same error text for a temporary service outage and an order that is ineligible under policy. The agent retries both, wasting time on ineligible orders. Under the tool-result contract, execution failures use isError. Which TWO output changes support appropriate recovery and communication?
03
Customer Support Resolution AgentContext Management & Reliability
A support conversation covers two disputed orders. After three compactions, the summary says a customer is owed about $60 soon. Earlier verified tool results recorded a $38.40 delivery charge on order O17 and a separate $21.95 duplicate charge on O42; the agent promised an update on 14 October, not a refund by that date. Both issues remain open. The context budget cannot retain every raw tool response, but later actions must use the exact amounts, issue statuses and commitment. Which context design best meets those requirements?
04
Code Generation with Claude CodeClaude Code Configuration & Workflows
A team's root CLAUDE.md interleaves API, testing and release conventions. All three sets apply throughout the repository and must reach every developer through version control. The team wants separately owned topic files, a short root file, and automatic loading of new topic files without maintaining an import list or asking developers to invoke a command. Which organization best satisfies these requirements?
05
Code Generation with Claude CodeClaude Code Configuration & Workflows
A project documentation skill inspects many source files and writes a draft. Its exploration should run outside the main conversation, returning only a concise result. Shell commands must be unavailable during this skill's execution, but developers must retain Bash for other tasks. The installed Claude Code build supports skill-level disallowed-tools; its general-purpose agent can read and write files. Which TWO skill frontmatter changes directly meet the isolation and tool-availability requirements?
06
Multi-Agent Research SystemAgentic Architecture & Orchestration
A research coordinator must compare retention, deletion and subprocessor policies for three vendors in both EU and US deployments. Its proposed worker assignments cover each vendor's global retention documentation, while the report template already contains all six vendor-region sections. Each worker has adequate tools and a query budget, but no research has started. The coordinator must detect missing investigations before spending that budget. Which planning artifact most directly exposes whether the assignments can support the requested comparison?
07
Multi-Agent Research SystemContext Management & Reliability
A research pipeline extracts cited measurements, normalizes their units, then combines them into regional comparisons before a report agent writes the narrative. The archive and bibliography survive, but comparisons no longer record which measurements produced them. An auditor must trace each final comparison to the contributing evidence, including its document location and measurement date. The report agent receives the final handoff and source catalog, not the original documents. Which TWO changes preserve the needed attribution through these transformations?
08
Developer Productivity with ClaudeTool Design & MCP Integration
Before changing a rounding rule, a developer assistant must identify consumers of calculateTotal in billing/math.ts. Grep finds its definition and a barrel file that exports it as invoiceAmount. Reading that barrel also reveals a wrapper exported as priceOrder; the wrapper calls the same calculation. Searches for calculateTotal find no application call sites. The assistant has Grep, Glob and Read and wants a targeted investigation rather than reading the entire repository. What should it do next?
09
Developer Productivity with ClaudeTool Design & MCP Integration
An assistant explores a codebase through an MCP endpoint returning a numeric relevance score and an unlabeled snippet. It cannot tell whether a hit is a definition, caller or test, so its dependency explanations are unreliable. What output contract best supports the investigation?
10
Developer Productivity with ClaudeAgentic Architecture & Orchestration
A developer assistant has one afternoon to improve regression tests for an unfamiliar order service. Initial exploration shows that the endpoint with the most incidents delegates to a shared retry helper. That helper is also used by invoice creation, where a duplicated operation has different consequences. Existing endpoint tests mock the helper entirely. The assistant has not yet traced the retry state or the invoice consumer. Which decomposition best uses the remaining investigation and test-writing time?
11
Claude Code for Continuous IntegrationClaude Code Configuration & Workflows
A CI reviewer receives a pull-request diff through standard input. Its read permissions are already approved, and it must complete one review without a terminal user. The comment publisher expects a single JSON response envelope and reads a schema-conforming findings array from structured_output; it cannot consume a stream or extract JSON from prose. The installed CLI supports --json-schema. Which invocation design matches this existing publisher contract?
12
Claude Code for Continuous IntegrationPrompt Engineering & Structured Output
Claude generates a patch that caches authorization decisions by account ID. In the generation conversation it assumes every user in an account has the same permissions, although the product requirements describe user-specific roles. A same-session review repeatedly accepts that assumption. The requirements, relevant source files and focused tests are available as separate artifacts. The team wants a reviewer that can challenge the assumption without losing the information needed to judge the patch. Which review setup best addresses this failure?
13
Claude Code for Continuous IntegrationPrompt Engineering & Structured Output
A large PR changes validation and serialization across several modules. Full-PR reviews spend most attention on the first files, while the final consumer receives a changed field type. Local details and cross-module consistency both matter. Which review structure most directly addresses this attention problem?
14
Structured Data ExtractionPrompt Engineering & Structured Output
An invoice pipeline flags records whose extracted line items do not sum to the extracted total. Human investigation has found two causes: the model sometimes copies the balance-due figure into total, and some invoices really contain inconsistent printed totals. The source files are retained, but the review queue currently shows only extracted numbers and a failed-validation flag. Reviewers need to distinguish those causes before a correction changes the accounting record. Which review payload best supports that decision?
15
Structured Data ExtractionContext Management & Reliability
An extraction service reviews all fields below model confidence 0.90 and automatically accepts the rest. Labeled checks of accepted fields show 99.4% accuracy for standard invoice totals but 93.0% for renewal dates in narrative contracts. The pooled accepted accuracy is 99.1% because invoices dominate the workload. Management requires evidence that each automated field-document segment meets its acceptance target before review volume is reduced. What is the most defensible next step?
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