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CCAR-F Agentic Architecture and Orchestration Practice Question

An architect is designing a multi-step research agent that must gather facts, draft a report, and revise it based on a critique. The team wants to reduce the blast radius of mistakes and keep each stage's context focused, rather than letting one long conversation accumulate every intermediate result. Which TWO design choices best support this goal? (Choose two.)

⚠ Common exam trap

The trap here is assuming that preserving the full transcript or maximizing randomness improves robustness, when containment actually comes from scoped context and inter-stage validation.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Give each stage its own focused prompt and pass only the artifacts it needs, such as the fact list into the drafting stage, instead of replaying the entire history.

Isolating stages behind focused prompts limits what each step can see and corrupt, while an explicit validation gate stops defective artifacts from propagating. Together they confine failures to a single stage and keep context tight. These two practices deliver the containment the team wants without sacrificing the agent's access to tools or knowledge.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Give each stage its own focused prompt and pass only the artifacts it needs, such as the fact list into the drafting stage, instead of replaying the entire history.

    Why this is correct

    Scoping each stage's prompt and inputs keeps the context small and relevant, which lowers the chance that an early error contaminates later reasoning. It also makes each stage independently testable and cheaper to run, directly supporting the goal of a smaller blast radius.

  • ✓

    Add a validation or critique step between stages that checks the artifact against explicit criteria before it is allowed to feed the next stage.

    Why this is correct

    A gate between stages catches defects while they are still local and cheap to fix. Because the next stage only receives artifacts that passed the criteria, a bad fact list cannot silently corrupt the draft, which is exactly how a smaller blast radius is achieved.

  • ✗

    Remove all tools from the drafting and revision stages so the agent is forced to rely only on its parametric knowledge.

    Why it's wrong here

    Removing tools prevents the agent from verifying or enriching content, which weakens output quality and makes hallucination more likely. Tool access is orthogonal to blast-radius control, and stripping it does not isolate errors or focus context.

  • ✗

    Run every stage with the highest available temperature so the agent explores many alternatives and the strongest output naturally survives.

    Why it's wrong here

    High temperature increases variance in every stage, including the fact-gathering step where accuracy matters most. Without a selection mechanism, more randomness does not reduce the blast radius; it makes downstream artifacts less predictable and harder to validate.

  • ✗

    Persist the entire conversation transcript and re-send it unchanged on every stage so no historical detail is ever lost.

    Why it's wrong here

    Replaying the full transcript grows context, raises cost, and lets an early mistake persist as authoritative history for every later stage. This enlarges rather than shrinks the blast radius and works against the goal of keeping each stage's context focused.

Quick reference

AAA Protocol Comparison

ProtocolPort(s)EncryptionTransportPrimary Use
RADIUS1812 / 1813Password onlyUDPNetwork access control
TACACS+49Full packetTCPDevice administration
Diameter3868Full sessionTCP / SCTPCarrier / mobile networks
802.1X—EAP-basedLayer 2Port-based access control

TACACS+ encrypts the entire packet; RADIUS only encrypts the password field — a key exam distinction.

About these practice questions

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Anthropic exam blueprint

This CCAR-F practice question is part of Courseiva's free Anthropic certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CCAR-F exam.