Anthropic Claude Certified Architect Foundations (CCA-F) - CCA-F무료 덤프문제 풀어보기

A. It increases context size.

B. It reduces network latency.

C. It measures response quality against defined objectives.

D. It permanently changes model parameters.

A. Split the generic tool into purpose-specific tools - extract_data_points, summarize_content, verify_claim_against_source - each with defined input/output contracts

B. Keep the single tool but add an analyze_type enum parameter requiring explicit selection between extraction, summarization, and verification modes

C. Enhance the tool description with detailed examples showing how different instruction phrasings should map to different output formats

D. Have the coordinator pre-classify each analysis request before passing instructions to the document analysis agent

A. Use Read to load the file, add the function at the appropriate location, then Write the updated file

B. Use Edit's replace_all parameter to target a common pattern and embed the new function in the replacement text

C. Use Edit with an extremely long old_string capturing 30+ lines of context to guarantee uniqueness

D. Use Bash to append the function definition to the end of the file using heredoc syntax

A. Remove Grep from available tools when the MCP server is connected to eliminate functional overlap.

B. Expand MCP tool descriptions to detail capabilities and outputs - e.g., "Builds dependency graph showing direct imports, transitive dependencies, and cycles."

C. Split analyze_dependencies into granular tools ( list_imports, resolve_transitive_deps, detect_circular_deps) so each has a focused purpose less likely to overlap with Grep.

D. Add routing instructions to the system prompt specifying that dependency-related questions should use MCP tools rather than Grep.

A. Call escalate_to_human immediately to honor the customer's request

B. Process the refund via process_refund to resolve the underlying issue, then inform them it's complete

C. Acknowledge frustration, inform them this is resolvable now, and offer to complete it or escalate

D. Ask what specifically hasn't worked in previous attempts before deciding whether to escalate or resolve automatically

A. Implement a summarization layer that progressively compresses older conversation turns into a running summary while keeping the most recent 5-6 turns verbatim, maintaining full historical context in condensed form.

B. Enable prompt caching and continue sending the complete conversation history, using cached prefixes to reduce per-request costs while preserving all context.

C. Build a retrieval system that stores all conversation turns and uses semantic search to pull in relevant historical context only when the current query appears to reference past information.

D. Implement a sliding window keeping only the system prompt and last 8-10 turns. When users reference earlier context, acknowledge the limitation and ask them to re-state the relevant information.

A. Run parallel worker agents that simultaneously investigate all four layers, then synthesize their findings to identify where the error originates.

B. Define a fixed sequence of investigation steps upfront - grep for error patterns, then read error handlers, then check database queries, then examine middleware - executing each step regardless of intermediate findings.

C. Have the agent first create a comprehensive plan mapping all code paths through the endpoint before beginning any file exploration or code reading.

D. Have the agent dynamically generate investigation subtasks based on what it discovers at each step, adapting its exploration plan as new information about the error path emerges.

A. Acknowledge the frustration and ask one targeted question to understand the specific issue before escalating.

B. First call get_customer and lookup_order to gather account context, then escalate to a human agent.

C. Immediately call escalate_to_human with the conversation history.

D. Briefly explain what the agent can help with and offer to resolve the issue quickly, escalating only if the customer repeats their request.