Anthropic Claude Certified Developer-Foundations - CCDV-F Free Exam Questions

A. Define explicit session expiration rules, state reset triggers, and rules for starting fresh sessions so stale context does not leak into new conversations.

B. Define state reset triggers tied to specific application events but apply them across all sessions globally, with no per-session expiration rules.

C. Define a single short session timeout that applies across all conversations and treat the timeout as the application's complete session lifecycle mechanism.

D. Define explicit session expiration rules but rely on users to start new conversations when they want fresh context, with no automatic reset triggers in the application.

A. A manager and supervisor pattern with shared context, where the top-level agent and the subagents all share a single conversation history that grows as the request flows through the system.

B. A manager and supervisor pattern with isolated context per subagent, where the top-level agent coordinates specialized subagents that each maintain their own conversation history and tool list.

C. A pipeline pattern, where each component processes the user request in sequence and passes the full conversation history along with the request to the next component in the pipeline.

D. A retrieval-augmented pattern, where the top-level component retrieves relevant context from the subordinate components' indexed data stores before generating each response.

A. Apply tool output pruning to remove tool outputs that are no longer needed by later steps in the workflow.

B. Keep every tool output in the context indefinitely so the agent has the full record of every step it has executed during the workflow.

C. Switch to a smaller Claude model that processes context more efficiently and treat any quality loss as a tradeoff for the cost reduction.

D. Apply prompt caching to the accumulated tool outputs so the application does not re-pay for the older content on each subsequent step.

A. Keep all customizations, trusting that the tech lead's original reasoning is still valid.

B. Decide on each customization individually based on its original reason and the SDK's current capabilities.

C. Migrate the agent off the SDK and rebuild it with a custom loop.

D. Revert all customizations to the SDK's defaults to standardize the codebase.

A. Extended thinking, which lets the model reason through the differential diagnosis steps before producing the final recommendation.

B. Zero-shot prompting alone with no model option adjustments, which keeps the application's configuration as simple as possible.

C. Fast mode, which prioritizes the lowest possible latency at the expense of reasoning depth on complex tasks.

D. A smaller model with a tighter context window, which encourages the model to focus its limited capacity on the task.

A. Ask the product team to specify quality, latency, and cost targets, then select the model whose tradeoffs best fit those targets.

B. Choose a mid-tier model and ship the feature, because mid-tier models work for most use cases without specified targets.

C. Choose the largest, highest-capability Claude model, on the grounds that "best results" is most likely to mean highest quality.

D. Run every Claude model on a representative sample and pick whichever scores best on a generic benchmark.

A. Increase the size of the agent's context window so it can hold the full ticket history at once.

B. Switch to a deterministic workflow that handles billing, shipping, and product issues in a fixed sequence.

C. Add detailed prompting that instructs the agent to track which sub-issues have been resolved and which remain.

D. Introduce an orchestrator agent that delegates billing, shipping, and product sub-issues to dedicated subagents.

A. A context-window pruning pattern that drops each subtask's content after the agent moves on.

B. A single tool-use loop that includes every tool the agent might need across all subtasks.

C. A memory pattern that stores the entire research history in advance, before any subtask begins execution.

D. An orchestrator and subagent pattern with specialized subagents assigned to each subtask.

A. Both integration paths in parallel, where the application uses each path on different runs to compare which performs better in production over time.

B. Direct integration with Claude through its SDK, because no multi-provider need exists and abstraction would add complexity that does not pay off.

C. The third-party abstraction layer, on the grounds that multi-provider support is valuable for any application as a matter of long-term flexibility across vendors.

D. A custom multi-provider abstraction layer the team builds in-house so that the team controls every part of the abstraction the application uses for its API calls.

A. Switch every feature to the smallest model to cut cost broadly across the application during normal operation.

B. Tell the team that cost growth is unavoidable as the application scales and that no investigation will change the trajectory of the application's cost over the next several quarters.

C. Reduce token usage uniformly across all features by half, applying the cut evenly across the application during normal operation.

D. Add token usage tracking by feature to the application's logging so the team can identify which features drive cost before recommending changes.