CCAR-P 무료 덤프문제 온라인 액세스

You are classifying token-management tactics by where each tactic applies in the request lifecycle: "Input Preparation," "Prompt Construction," or "Output Handling."

정답:

Explanation:
* Persist the validated output for downstream consumption and audit - Output Handling
* Order prompt sections so cacheable content appears before per-request content - Prompt Construction
* Summarize prior conversation history when full history is no longer needed - Input Preparation
* Validate the model's structured output against the expected schema - Output Handling
* Move stable repeated content into a cacheable prefix at the beginning of the prompt - Prompt Construction
* Trim retrieved passages to spans relevant to the user's question - Input Preparation Input preparation determines what evidence and history should enter the request, so summarization and retrieval trimming belong there. Prompt construction determines ordering and cache boundaries; stable repeated instructions must precede dynamic per-request content to maximize cache reuse. Output handling begins after generation and includes schema validation, persistence, auditing, and downstream delivery.
Mixing these responsibilities creates inefficient prompts and weak validation boundaries. Anthropic's context guidance emphasizes curating the smallest useful context because unnecessary tokens can reduce recall and accuracy. Prompt caching similarly depends on a stable reusable prefix, while structured outputs or schema validation protect downstream systems from malformed responses. Context windows ; prompt caching

You are diagnosing a Claude Code session whose subagent uses 50,000 tokens of context before the engineer types a single message.
Which root cause is most likely?

• A.The model has internal personal preferences or default behaviors that silently consume large portions of context budget before any user message is processed, independent of tool configuration.
• B.The developer's keyboard layout or input-method configuration is the cause of the elevated context consumption, introducing extra tokens before the engineer types any message.
• C.The font rendering or display-scaling settings of the IDE are converting visual output into additional context tokens, causing the high pre-session context consumption.
• D.Many MCP servers are configured, each contributing tool definitions to the context budget; Tool Search is not enabled, so all definitions load upfront.

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

• A.disabling all data-retention configuration, redaction controls, and data-subject-rights handling to simplify day-to-day operations, accepting the resulting GDPR compliance exposure
• B.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
• C.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
• D.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

You are rolling out monitoring for a Claude-based deployment and must complete the specification steps before instrumenting the deployment.
Which two steps must be completed BEFORE instrumenting the deployment to emit metrics and traces?
(Select two.)
Each correct answer presents part of the solution.

• A.Define the metrics and the slices the deployment will monitor across normal and adversarial traffic.
• B.Document the dashboards, alerts, and runbooks for the on-call rotation that will respond.
• C.Tune the alert thresholds based on observed normal-state distributions to reduce false positives.
• D.Define the service-level objectives (SLOs) and the error budgets the deployment will be held to.
• E.Build the dashboards that surface metrics across slices at the cadence the team operates on.

A platform team operates a self-hosted multi-agent system on Kubernetes that orchestrates seven specialized agents for invoice processing. The team spends approximately 40 percent of engineering capacity on infrastructure maintenance, message bus reliability, and agent state recovery. The CFO has asked you to evaluate moving to managed agent infrastructure to reclaim engineering capacity. The security officer requires that all customer financial data remain within an approved network boundary.
Which factor should most heavily influence your recommendation?

• A.Whether managed agent data handling satisfies the network boundary required by security.
• B.Whether managed agents support the current bus topology used by the platform team.
• C.Whether the current seven agents map cleanly to the patterns supported by managed agents.
• D.Whether managed agents reduce per-invoice token costs across the existing processing volume.