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| Section | Objectives |
|---|---|
| Evaluation and Optimization | - Model and architecture optimization - Evaluation design and acceptance criteria |
| Governance, Safety, and Risk | - Security, compliance, risk management, and governance - Safety controls and fail-closed system design |
| Solution Design | - Claude platform and solution architecture - Model, architecture, context, and deployment strategy selection |
| Enterprise Integration and Production | - Cost, latency, reliability, and operational design - Enterprise integration architecture and production readiness |
| Stakeholder Engagement and Solution Lifecycle | - Stakeholder discovery and architectural trade-off communication - Solution lifecycle, handoff, adoption, and operational enablement |
PracticeDump Claude Certified Architect - Professional (CCAR-P) practice test material covers all the key topics and areas of knowledge necessary to master the Anthropic Certification Exam. Experienced industry professionals design the CCAR-P exam questions and are regularly updated to reflect the latest changes in the Claude Certified Architect - Professional (CCAR-P) exam. In addition, PracticeDump offers three different formats of practice material which are discussed below.
NEW QUESTION # 70
You are compiling team-setup practices for a Claude Code rollout across an engineering organization.
Which two practices belong on the list? (Select two.)
Each correct answer presents a complete solution.
Answer: B,C
Explanation:
Project scope is designed for repository-specific configuration shared through version control, including MCP server definitions, project permissions, hooks, and team instructions. This gives every contributor a consistent baseline while keeping changes reviewable. Managed configuration is appropriate for mandatory security and compliance controls because administrators can deploy it centrally and prevent lower scopes from overriding it. Local scope is machine-specific and unsuitable for organization-wide enforcement. User scope follows one engineer across projects, so it cannot guarantee that an entire team receives identical MCP definitions.
Personal editor preferences belong in user or local configuration, not project scope, unless the team has explicitly standardized them. Anthropic's settings hierarchy distinguishes managed, project, local, and user responsibilities. Claude Code settings
NEW QUESTION # 71
You are defining where human review must remain in a planned automated pipeline. Which placement reflects sound human-in-the-loop design?
Answer: C
Explanation:
Sound human-in-the-loop design places review before a high-impact or irreversible action occurs. The reviewer must receive sufficient context and explicit approval criteria so that the checkpoint functions as a meaningful control rather than a ceremonial step. This is especially important when Claude outputs could initiate financial transactions, publish sensitive material, alter access rights, affect employment decisions, or trigger other consequential actions. Option A provides only retrospective auditing and cannot prevent harm.
Option C may support monitoring or quality measurement, but random sampling does not protect every case that requires mandatory approval, particularly when review criteria are undefined. Option D removes the accountability and intervention mechanism entirely. Therefore, B provides the strongest design by combining risk-based placement, human authority, and clearly defined verification requirements before execution.
NEW QUESTION # 72
You are designing a content moderation classifier that processes high volumes of user-generated comments under a tight per-message latency budget using well-defined classification labels.
Which model selection best aligns with the workload?
Answer: B
Explanation:
Haiku is the appropriate starting point because the workload is high-volume, latency-sensitive, and based on a stable closed set of moderation labels. These characteristics favor a fast, cost-efficient model capable of consistent classification without incurring the additional inference time and expense associated with deeper reasoning.
Anthropic's model-selection guidance requires architects to balance capability, speed, and cost rather than automatically selecting the most capable model. Its content-moderation guidance specifically identifies Haiku as a cost-effective option for processing moderation workloads at substantial scale. Choosing the Right Model
, Content Moderation
Opus is disproportionate to a routine closed-set classification problem. Sonnet may become justified if evaluation demonstrates that Haiku fails materially on complex policy distinctions, multilingual ambiguity, or adversarial edge cases, but it should not be selected merely because it is larger. Enabling extended thinking on every request would further increase latency and token consumption without evidence that the additional reasoning improves the defined success metrics. The correct architectural practice is to establish a representative moderation evaluation set, validate Haiku against accuracy and safety thresholds, and escalate only the cases that genuinely need deeper reasoning.
Study Guide references/topics: Model selection; capability-latency-cost trade-offs; classification workloads; evaluation-driven routing; moderation architecture.
NEW QUESTION # 73
You are assessing data-exfiltration risk in a Claude-based assistant that has tools for both internal-document retrieval and outbound HTTP calls.
Which scenario most directly indicates a data-exfiltration risk?
Answer: B
Explanation:
Option C describes indirect prompt injection combined with an outbound transmission channel. The attacker embeds instructions in content that the assistant treats as evidence. If the model follows those instructions, it can retrieve sensitive information and transmit it through the HTTP tool to an attacker-controlled destination.
Authorization to read a document does not automatically authorize external disclosure. The architecture should treat retrieved content as untrusted, restrict outbound domains, separate data access from external communication, apply least-privilege tool permissions, and require approval for sensitive transmissions.
Options A, B, and D describe normal authorized behavior without evidence of unintended disclosure.
Anthropic specifically warns that combining untrusted content, sensitive data, and network tools creates exfiltration risk. Web-fetch security guidance ; handling untrusted tool results
NEW QUESTION # 74
You are reviewing a peer's end-to-end design for a Claude-based platform expected to scale to thousands of concurrent users.
For each statement, indicate Yes if it reflects sound architectural practice. Otherwise, select No.
Answer:
Explanation:
Explanation:
* Authentication and authorization run before retrieval so retrieval can filter by identity - Yes
* An asynchronous queue absorbs bursty traffic between intake and the model-invocation layer - Yes
* Tax computation is encoded directly in the system prompt rather than in code - No
* Conversation logs include unredacted government identifiers to maximize tuning signal - No Authentication and authorization must precede retrieval so unauthorized information never enters model context. An asynchronous queue is appropriate for burst absorption, backpressure, controlled concurrency, and retry management at scale. Deterministic tax computation should be implemented in validated code or a controlled calculation tool, not delegated to probabilistic prompt interpretation. Including unredacted government identifiers in conversation logs violates data-minimization principles and creates unnecessary privacy, security, and regulatory exposure. Sensitive fields should be removed, tokenized, or redacted before logging or model use unless specifically required and authorized. The resulting design separates deterministic computation, access control, scalable orchestration, and language reasoning into appropriate architectural layers.
NEW QUESTION # 75
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