CCAR-P Practice Test 10 — 10 Questions

Question 1

An agentic system uses a supervisor agent that delegates to specialized worker agents. During a long incident, the supervisor's own context fills with worker transcripts, and it begins losing track of which workers have completed and which are still running. Which TWO architectural changes best preserve the supervisor's ability to coordinate correctly? (Choose two.)

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Have the supervisor maintain an external task ledger that records each delegated task, its assigned worker, and its status, and read from that ledger instead of retaining full worker transcripts.. The supervisor's difficulty comes from mixing coordination state with raw worker output. Externalizing task state into a ledger and having workers return compact structured envelopes keeps the authoritative record of what is delegated and what has finished separate from bulky transcripts. The supervisor can then coordinate from small, reliable signals and pull detail only when needed, rather than trying to hold the entire incident in its context window.

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Restart the supervisor with a fresh context whenever its window fills, and rely on workers to resend their current status on request.

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Allow workers to message each other directly to resolve dependencies, removing the supervisor from the coordination path entirely.

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Increase the supervisor's context window to the largest available model so it can retain all worker transcripts for the duration of the incident.

Question 2

You are architecting a Claude agent that orchestrates a long-running approval workflow spanning hours or days, where human reviewers may intervene between steps. Which TWO mechanisms are necessary to keep the workflow correct across these interruptions? (Choose two.)

Accepted Answer

Persist the full message history and tool state to durable storage after each turn so the workflow can resume from the exact checkpoint.. Long-running workflows with human-in-the-loop interruptions require durable checkpointing to resume exact state and idempotency keys to make retries safe. Together they ensure that an interruption or crash neither loses the reasoning chain nor duplicates side effects such as approvals or notifications. Stateless summarization, token limits, and disabling tools all fail to provide either guarantee.

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Set a very short max_tokens on every turn to reduce the chance of context drift across days.

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Disable tool use entirely during human review windows and rely on the reviewer to re-enter all prior context manually.

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Use a stateless design where each invocation rebuilds context by summarizing all prior decisions into the system prompt.

Question 3

You are architecting a customer-support agent for a SaaS platform. The agent must answer billing questions using a live invoice API and general policy questions using a static knowledge base. The invoice API is fast but occasionally returns stale data; the knowledge base is large and slow to search. Your design gives the agent a dedicated 'billing' sub-agent and a 'policy' sub-agent, coordinated by a router agent. After deployment, you observe the router sending nearly every query to both sub-agents in parallel, causing high latency. Which architectural change best addresses this while preserving answer quality?

Accepted Answer

Have the router emit a structured routing decision with a confidence score, and only fan out to both sub-agents when the confidence falls below a configured threshold.. The router is being overly cautious and fanning out on every query, which multiplies latency. Adding an explicit confidence signal to the routing decision lets the orchestrator fan out only when the router is genuinely unsure. High-confidence routing keeps the common case single-hop, while the fallback preserves correctness on ambiguous queries. This is the only option that changes the router's decision policy rather than replacing it with a brittle rule or an unrelated caching layer.

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Merge both sub-agents into a single agent with access to both the invoice API tool and the knowledge base search tool, and let it choose tools freely.

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Cache the router's routing decisions for 24 hours so repeated identical queries skip the router on subsequent requests.

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Replace the router with a fixed decision tree that maps every query containing the word 'invoice' to the billing sub-agent and all other queries to the policy sub-agent.

Question 4

Your team operates a Claude-based internal knowledge assistant. A new compliance officer asks how the platform will handle model deprecations and capability changes over the next 24 months. Which TWO practices should be established now to give stakeholders durable lifecycle assurance? (Choose two.)

Accepted Answer

Pin production traffic to a specific model version and maintain a documented, tested upgrade path with a rollback option before any version change.. Durable lifecycle assurance rests on two complementary controls: version pinning with a rehearsed upgrade and rollback path, and a documented register that ties every model to its business function, owner, and review cadence. Pinning supplies predictability; the register supplies visibility and accountability. Promises of eternal model availability, constant upgrades to the newest version, and indefinite prompt freezes all fail because they either cannot be honoured or actively prevent the controlled change that deprecation management requires.

Answer

Ask the model provider to guarantee in writing that no model used by the platform will ever be retired.

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Freeze all prompt and evaluation changes indefinitely so that the only variable in the system is the underlying model.

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Always route production requests to the newest available Claude model so the platform is never running outdated versions.

Question 5

A research agent uses Claude with an extended thinking budget to analyze a 200-page regulatory filing. Mid-analysis it must call a `fetch_footnote` tool whose result is essential to the conclusion. The architect wants the tool result to be incorporated without discarding the model's prior reasoning. Which approach best achieves this?

Accepted Answer

Insert the tool result into the conversation as a tool_result block associated with the original tool_use, then continue the same turn so the model resumes from its existing reasoning.. Tool results must be returned as tool_result blocks paired with the originating tool_use so the conversation remains valid and the model can continue from its existing reasoning rather than restart. This preserves the thinking budget and the message sequence. Restarting, summarizing through another model, or deferring to retrieval all either discard reasoning or break the API contract, so they fail this scenario.

Answer

Store the footnote in an external vector store and instruct the agent to retrieve it again later if needed.

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Append the tool result as a new user message and restart the analysis from the beginning of the filing.

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Summarize the footnote with a separate cheap model and paste the summary into the system prompt before the next call.

Question 6

A production agent uses a ReAct loop and frequently reaches its maximum step budget while still mid-task, then returns a partial answer that looks complete. Telemetry shows the agent often re-reads the same file and re-queries the same database row across consecutive steps. Which change most directly reduces wasted steps while preserving the agent's ability to finish?

Accepted Answer

Add a step-level deduplication cache that returns the prior result when the agent issues an identical tool call with identical arguments, and inject a reminder of remaining budget into the loop.. The wasted steps come from repeating identical tool calls, so the most direct fix is to detect and short-circuit duplicates by caching results keyed on the call and its arguments. Pairing that with visibility into remaining budget helps the model spend its steps on novel actions and wrap up cleanly. Adjusting the budget up or down changes when the agent stops but not how much of its work is redundant, and collapsing the loop removes the observation-driven adaptation the agent depends on.

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Raise the maximum step budget from 15 to 60 so the agent always has enough room to finish any task.

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Replace the ReAct loop with a single-shot prompt that asks the model to plan every step up front and then answer without further tool calls.

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Lower the maximum step budget to 8 so the agent is forced to be more decisive and avoid redundant work.

Question 7

A developer support team wants to give engineers a fast way to reproduce and debug failed Claude requests without exposing API keys or requiring them to install the SDK locally. Which approach best balances speed and safety?

Accepted Answer

Provide a web-based request playground that runs server-side, logs sanitized request IDs, and lets engineers replay a failed request with the same parameters.. A server-side playground with sanitized logging and request replay gives engineers self-service debugging at speed while keeping keys on the server. Replay of exact parameters makes failures reproducible, and per-request IDs support tracing. Shared keys, ticket queues, and keyed Docker images either expose credentials or slow engineers down, so they miss one of the two goals.

Answer

Share a read-only API key in the team wiki so engineers can paste requests into a local script.

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Ask engineers to file tickets with the failing request body, and have a central team reproduce them manually.

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Publish a Docker image containing the SDK and a preconfigured key so engineers can run requests locally in an isolated container.

Question 8

A business unit has been running its own Claude-powered tool outside the central platform for four months. It works well, and the unit lead wants it blessed as-is rather than migrated. As the platform architect, what is the most appropriate first step?

Accepted Answer

Assess the tool against platform standards for security, data handling, cost visibility, and supportability, then agree on a remediation or integration path with the unit lead.. Shadow AI is best handled by converting it into governed capability rather than by punishing it. A standards-based assessment produces concrete findings and a negotiated path, preserving the working tool's value while closing security, data-handling, cost, and support gaps. That keeps the unit lead as a partner and strengthens the platform's credibility.

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Escalate the unit lead to the executive sponsor for violating architecture standards.

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Grant an indefinite exemption so the unit can keep operating the tool without further review.

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Mandate immediate migration to the central platform to eliminate the unmanaged tool.

Question 9

An engineering organization is building a shared internal Claude gateway used by many product teams. They want to enable rapid experimentation while keeping spend predictable and preventing any single team from starving others. Which TWO controls should the gateway implement to meet these goals? (Choose two.)

Accepted Answer

Per-team token budgets with usage metering and alerts, enforced at the gateway before requests are forwarded to the Anthropic API.. Per-team budgets with metering address predictable spend and accountability, while per-team concurrency and rate limits with queueing address fair access and burst smoothing. Together they let teams experiment freely within their allocation, prevent any single team from monopolizing shared capacity, and keep the gateway's behavior observable and enforceable.

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A shared global API key distributed to every team so they can call the Anthropic API directly when the gateway is slow.

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A single organization-wide rate limit with no per-team differentiation, relying on social norms and team goodwill to prevent overuse.

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Automatic model downgrades for any team that exceeds its budget, applied silently without notifying the team or recording the change.

Question 10

An agent must summarize a 400-page contract that exceeds the context window. The team wants a summary that references specific clauses without losing cross-references between distant sections. Which approach best preserves cross-reference integrity?

Accepted Answer

Map each section to a structured node with its clause identifiers and cross-references, summarize nodes, then synthesize using the reference graph.. Cross-reference integrity survives summarization only if the relational structure is modeled explicitly. Converting sections into nodes with clause identifiers and reference edges lets the synthesis stage traverse those links, resolving 'see Section X' pointers instead of severing them at chunk boundaries. This preserves meaning that flat chunking or larger output budgets cannot recover.

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Increase max_tokens on each summarization call so the model can produce longer per-chunk summaries.

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Use a smaller model with a longer context window to process the whole contract in a single pass.

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Split the contract into fixed-size chunks, summarize each independently, and concatenate the summaries in order.