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| Section | Weight | Objectives |
|---|---|---|
| Evaluation, Testing & Optimization | 16% | - Evaluation framework design - A/B testing - Cost and performance optimization - Production monitoring and optimization - System issue diagnosis - Evaluation metrics and datasets |
| Solution Design & Architecture | 17% | - Decomposition techniques for complex problem solving - Alignment with business value, cost, performance, and SLAs - Architectural patterns
- Translating business problems into Claude-based AI solutions - End-to-end architecture design |
| Developer Productivity & Operational Enablement | 7% | - AI-assisted developer workflows - Claude tooling configuration for teams - Debugging and operational issue resolution - Developer enablement |
| Stakeholder Communication & Lifecycle Management | 14% | - Service-level agreements - Communicating architectural decisions - Stakeholder management - Architecture documentation - Solution lifecycle management - Discovery and requirements gathering |
| Integration | 19% | - Enterprise system integration - Authentication and authorization analysis - Claude integration mechanisms
|
| Governance, Safety & Risk Management | 14% | - Regulatory and compliance requirements - AI safety and guardrails - Security and risk management - Ethical AI considerations - Human-in-the-loop validation |
| Claude Models, Prompting & Context Engineering | 13% | - Context window optimization - Prompt reuse and context engineering strategies - System prompts and prompt templates - Guardrails - Claude model selection and trade-offs |
>> Exam Anthropic CCAR-P Torrent <<
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NEW QUESTION # 46
You are evaluating retrieval-strategy claims used by a peer team.
For each claim, select yes if the statement is generally accurate. Otherwise, select no.
Answer:
Explanation:
Explanation:
Yes, Yes, Yes, No, No
Dense vector retrieval represents semantic similarity, making it suitable for matching paraphrases and conceptually related language even when the query and source do not share identical words. Sparse lexical retrieval, including BM25-style matching, retains strong sensitivity to exact tokens and is therefore valuable for identifiers, product codes, technical names, and uncommon terminology.
Structured query retrieval is appropriate when the required operation depends on explicit fields, predicates, joins, counts, grouping, or aggregation over a relational schema. In that situation, generating or invoking a constrained database query is more precise than approximating the operation through semantic similarity.
Hybrid retrieval is not identical to dense retrieval. It combines semantic and lexical candidate sets, typically followed by rank fusion or reranking. Anthropic's contextual-retrieval guidance explains that semantic search captures meaning and paraphrases, while BM25 captures exact terminology; combining them improves coverage. Contextual Retrieval, Contextual Retrieval Cookbook Random sampling is not a relevance strategy. It provides no systematic relationship between the query and selected evidence, producing unstable coverage and preventable hallucination risk. Production Q & A requires deterministic or evaluated relevance mechanisms, access filters, suitable indexes, and measurable retrieval metrics such as recall at k.
Study Guide references/topics: Dense retrieval; sparse retrieval; structured queries; hybrid search; rank fusion; retrieval evaluation; production RAG design.
NEW QUESTION # 47
A Claude architect is auditing configuration scope assignments.
Which two statements correctly identify an appropriate use of user-scope configuration versus other scopes?
(Select two.)
Answer: A,E
Explanation:
User scope applies to one engineer across every project and is therefore appropriate for portable personal preferences. Option A fits this definition because an interface theme belongs to the individual rather than to a repository or organization. Option B also fits because Claude Code provides a language setting for the preferred response language, and placing that preference in user scope makes it apply across repositories.
Option C requires managed configuration because an organization-wide security control must be centrally deployed and resistant to individual override. Option D belongs in project scope because repository-specific MCP endpoints must be shared consistently with that repository's contributors.
Option E describes credential handling rather than merely a preference assignment. Credentials must not be placed in a repository, but avoiding version control alone is insufficient. They must be stored through a supported secure authentication mechanism, protected environment configuration, operating-system credential facility, or approved secrets manager-not inserted as plaintext into an ordinary settings file.
Anthropic defines user scope as affecting one user across all projects, project scope as shared repository configuration, and managed scope as the location for enforceable organizational controls. It also explicitly lists themes and other personal settings as user-scope use cases. Claude Code Configuration Scopes Study Guide references/topics: User scope; project scope; managed configuration; personal preferences; repository-shared MCP configuration; credential protection.
NEW QUESTION # 48
A team manager wants all engineers working on the same repository to share identical MCP server definitions without manual synchronization.
Which configuration approach satisfies this requirement?
Answer: C
Explanation:
Project-scoped configuration is the appropriate mechanism for repository-specific settings that must remain consistent across collaborators. Claude Code recognizes `.claude/settings.json` as the shared project settings file and `.mcp.json` as the project-level MCP server configuration. When these files are committed to source control, every engineer receives the same definitions through the repository's normal clone, pull, review, and versioning workflow.
Anthropic's scope hierarchy distinguishes project configuration from user and local configuration. Files under the user scope apply to one engineer and are not automatically shared. Operating-system environment variables are also workstation-specific and require separate configuration management. Managed settings can be distributed centrally, but they are primarily intended for organization-wide security policies and controls that must be enforced by administrators; they are less appropriate when the configuration belongs specifically to one repository.
Shared configuration should contain server definitions and environment-variable references, but not plaintext credentials. Each engineer can resolve required secrets through an approved local secret mechanism while retaining identical server names, transports, arguments, and non-sensitive settings. Project MCP servers also remain subject to workspace trust and approval controls before execution.
Study Guide references/topics: [Claude Code configuration scopes](https://docs.anthropic.com/en/docs
/claude-code/settings); project-scoped MCP servers; `.mcp.json`; repository-based operational standardization; secure secret separation.
NEW QUESTION # 49
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: A
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 # 50
A business sponsor has requested an AI solution to "improve customer experience." The sponsor cannot articulate which customer journey is failing, which metric reflects the failure, or which decisions the AI should support. The sponsor is asking you to begin design work next week.
Which delegation-competency action should you take first?
Answer: B
Explanation:
The request is not yet design-ready because it lacks a defined failure, affected user journey, supported decision, target population, and measurable outcome. The architect should therefore facilitate structured discovery rather than prematurely selecting an AI pattern or model.
Discovery should identify where the current customer journey breaks down, who experiences the problem, what decision or task requires assistance, what data is available, and which metric would demonstrate improvement. The team can then establish baseline performance, target thresholds, operational constraints, risks, and explicit non-goals. Anthropic's evaluation guidance states that an LLM application should begin with clearly defined success criteria and a method for measuring them. Define Success Criteria and Build Evaluations Option A abandons the sponsor instead of helping translate a business concern into an actionable problem.
Option B risks producing a generic demonstration unrelated to a validated customer need. Option C substitutes the architect's assumptions for stakeholder evidence and may commit the organization to the wrong scope.
Competent delegation begins by defining the decision, intended outcome, authority boundaries, and target metric before determining which responsibilities should be assigned to Claude, conventional software, or human reviewers.
Study Guide references/topics: Structured discovery; delegation competency; problem definition; target metrics; decision support; measurable business outcomes.
NEW QUESTION # 51
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