Choose CCAR-P most accurate study material

You are building a feedback-and-alignment routine for a multi-stakeholder deployment.
Which two practices belong in the routine? (Select two.)
Each correct answer presents a complete solution.

• A. Rotate facilitation among the participating stakeholder groups to share ownership of the routine.
• B. Reconcile divergent stakeholder positions explicitly rather than papering over them in the moment.
• C. Set a regular cadence for revisiting expectations and assumptions as conditions evolve over time.
• D. Record each session and distribute the recording to stakeholders who could not attend live.
• E. Escalate any disagreement among stakeholders to the executive sponsor for binding resolution.

A loan pre-qualification assistant shows 94 percent approval recommendations that match the human underwriter decision. The fairness team has reviewed approval rate parity across protected groups and reported no significant difference. A board member has asked whether this evidence is sufficient to declare the assistant fair.
Which two Discernment-competency findings should you report? (Select two.) Each correct answer presents part of the solution.

• A. The fairness team's review process likely missed at least some of the protected groups studied.
• B. Approval rate parity does not by itself assess error rate parity across protected groups.
• C. The 94 percent match rate is sufficient evidence of fairness for the assistant's decisions.
• D. A larger sample is needed before any meaningful fairness claim can be made about the model.
• E. Match with human underwriters does not establish freedom from underwriter-introduced bias.

You are selecting a model for a new production workload and must complete the upstream steps before testing candidate models empirically.
Which two steps must be completed BEFORE running a representative sample on a candidate model? (Select two.) Each correct answer presents part of the solution.

• A. Retest the model choice when a new model version becomes available.
• B. Select the lightest model that consistently meets the quality bar across the sample.
• C. Choose a candidate model based on the requirements profile and known capabilities.
• D. Sign off the production rollout plan with the platform and security teams.
• E. Define the quality bar, latency tolerance, and expected volume for the workload.

You are identifying the highest-impact optimization for a deployment whose token cost is dominated by a long, repeated system prompt and a large retrieved context per request.
Which optimization most directly targets the dominant cost driver?

• A. Increase retrieval depth on every request to maximize recall, worsening the dominant cost driver by adding more retrieved tokens per request rather than reducing them.
• B. Move the long, repeated system prompt into a cacheable prefix and trim retrieved context to the spans relevant to each query.
• C. Add additional repeated content to the system prompt to give the model more guidance.
• D. Switch every request to the heaviest available model to maximize output quality, accepting that higher per-request inference cost compounds rather than addresses the dominant cost driver.

You are selecting a protocol for a single low-latency stateless tool call from a Claude-based assistant to an internal pricing service that already exposes a stable HTTP API.
Which integration mechanism is the most appropriate?

• A. A direct API call to the existing endpoint with the appropriate scoped credentials.
• B. An agent-to-agent handoff that introduces another Claude-based agent in front of the pricing service.
• C. A bespoke streaming protocol layered over an unrelated asynchronous message bus.
• D. A long-lived stateful session protocol for a stateless single-call interaction.