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Anthropic Claude Certified Architect - Professional Sample Questions:

1. You are classifying chunking strategies by the corpus type each is best suited to.
For each chunking strategy, select the appropriate corpus type: "Long Structured Documents,"
"Heterogeneous Short Records," or "Code or Hierarchical Specifications."

2. A technical team is debating whether to implement a new capability for generating regulatory filings from internal data as a Claude Skill or as an MCP server. The capability requires a fixed authoring procedure with embedded examples, does not need to call live external systems, and must be portable across three Claude deployments: claude.ai, an internal API integration, and Claude Code.
Which factor most strongly favors implementing the capability as a Skill?

A) The capability needs to query a live database for the most recent regulatory filings.
B) The capability is procedural knowledge with no live external-system calls required.
C) The capability requires direct authentication against the corporate identity provider.
D) The capability must also be callable from a developer's command-line interface.

3. You are supporting an EU-based deployment with GDPR obligations.
Which combination of measures best supports the deployment's GDPR posture?

A) enterprise-tier deployment with a signed Data Processing Addendum, defined data-retention configuration, redaction of personal data not needed for the task, and documented data-subject-rights handling
B) disabling all data-retention configuration, redaction controls, and data-subject-rights handling to simplify day-to-day operations, accepting the resulting GDPR compliance exposure
C) pasting full EU personal data into every prompt to "give Claude complete context" without considering purpose limitation, data minimization, or the organization's Data Processing Addendum obligations
D) using a personal Claude account tier for processing EU personal data at scale, with no signed Data Processing Addendum and no documented data-subject-rights handling procedure

4. You are defining transparency practices for a customer-facing assistant whose responses are materially shaped by AI.
Which transparency practice most directly supports responsible deployment?

A) Misrepresent the AI's role in producing responses in order to make the assistant feel more trustworthy or more human, undermining informed user consent and organizational transparency.
B) Disclose AI involvement only to internal staff and operators while withholding that information from the end users whose interactions are materially shaped by the AI system.
C) Refuse to answer any user question about how the responses were produced or whether AI was involved, treating the AI's role as confidential operational information.
D) Disclose AI involvement to end users in line with the organization's transparency policy and provide a documented path to reach a human when needed.

5. You are assessing a Claude-based system whose dominant risk is silent quality drift on safety-relevant outputs after a model-version upgrade.
Which assessment activity most directly addresses this risk?

A) Skip evaluation on each model-version upgrade and rely on user-submitted complaints to surface safety drift after the upgraded model has already served production traffic.
B) Rotate adversarial inputs randomly so no two upgrades are scored on the same set.
C) Maintain an adversarial evaluation set with version-attributed scoring so each upgrade is measured against the same set before promotion.
D) Disable adversarial evaluation entirely during model-version upgrade cycles to reduce evaluation cost, accepting that safety drift will go undetected until it appears in production.

Solutions: