Anthropic CCA-F Certification Test Questions & CCA-F Valid Exam Test

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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Context Management & Responsible AI	15%	- Safety and compliance 1. Refusal handling and risk mitigation 2. Constitutional AI principles - Context window optimization 1. Token management and truncation strategies 2. Context retention and summarization
Agentic Architecture & Orchestration	27%	- Anthropic Agent SDK usage 1. Task spawning and tool management 2. Session state and context handling - Agent design patterns 1. Hub-and-spoke multi-agent systems 2. Agent loops and control flow
Prompt Engineering & Structured Output	20%	- Advanced prompting techniques 1. System prompts and role framing 2. Few-shot and chain-of-thought prompting - Structured data generation 1. Output validation and reliability 2. JSON schema enforcement
Claude Code Configuration & Workflows	20%	- CI/CD and development integration 1. Plan mode vs direct execution 2. Pipeline automation and review - Configuration files and structure 1. Custom commands and workflows 2. CLAUDE.md and rules system
Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tools, resources, and prompts integration 2. MCP server and client setup - Tool definition and best practices 1. Tool descriptions and selection logic 2. Error handling and validation

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CCA-F Certification Test Questions | Professional CCA-F: Claude Certified Architect Foundations (CCA-F)

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q78-Q83):

NEW QUESTION # 78
During a long-running customer support session, the agent repeatedly summarizes the conversation history to save context space. By turn 10, the agent forgets the customer's specific account number and the exact promotional price they were quoted. How should you redesign the context management to prevent this?

A. Store the conversation in an external database and run a lexical search query on every turn.
B. Extract transactional facts into an immutable 'case facts' block positioned at the start of the context that is never summarized.
C. Increase the frequency of progressive summarization to occur every 2 turns instead of 5.
D. Restart the session from scratch after 5 turns and ask the customer to repeat their details.

Answer: B

NEW QUESTION # 79
You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools (Read, Write, Bash, Grep, Glob) and integrates with Model Context Protocol (MCP) servers.
A developer asks the agent to investigate why a specific API endpoint intermittently returns 500 errors. The codebase has 200+ files and the developer doesn't know which components are involved. The agent must trace the error through routing, middleware, business logic, and database layers. What task decomposition approach would be most effective?

A. Have the agent first create a comprehensive plan mapping all code paths through the endpoint before beginning any file exploration or code reading.
B. 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.
C. Run parallel worker agents that simultaneously investigate all four layers, then synthesize their findings to identify where the error originates.
D. 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.

Answer: B

Explanation:
The relevant components and failure path are initially unknown, so the investigation should adapt as evidence emerges. This matches the orchestrator-workers pattern, where an agent dynamically decomposes a complex task rather than following a fixed sequence or launching broad parallel work prematurely.

NEW QUESTION # 80
When implementing structured data extraction for a application, what does utilizing tool_use with a strict JSON schema explicitly guarantee?

A. Both structural compliance and semantic correctness of the extracted data.
B. Structural compliance, ensuring valid JSON syntax and required fields, but not semantic accuracy.
C. Automatic retry loops if the extracted values fail business logic validation.
D. Elimination of all hallucinations and inaccurate data extraction.

Answer: B

Explanation:
Using tool_use with JSON schemas guarantees structural compliance (all required fields present, correct types, valid enum values), which eliminates JSON syntax errors. However, it does not guarantee semantic correctness, as the model may still extract wrong values or place them in the incorrect fields.

NEW QUESTION # 81
During an agentic loop execution at quicktechie.com, Claude requests to use a lookup_customer tool, but the backend database is down, resulting in an access failure. What is the architecturally correct way to return the result for the next iteration?

A. Option D
B. Option B
C. Option A
D. Option C

Answer: D

Explanation:
Access failures must be explicitly distinguished from valid empty results. Returning structured error metadata (isError, errorCategory, isRetryable) gives the agent the context it needs to make an intelligent recovery decision. Silently returning an empty array is a catastrophic anti- pattern because the agent will hallucinate that the data truly does not exist.

NEW QUESTION # 82
When re-running an automated PR review after new commits, what is the best practice to avoid posting duplicate comments on existing issues?

A. Run grep via Bash to parse previous GitHub comments and filter them out programmatically.
B. Clear the context window completely using /clear before every run.
C. Use the Message Batches API to automatically deduplicate comments across runs.
D. Include prior review findings in the context and instruct Claude to report only new or still-unaddressed issues.

Answer: D

Explanation:
To avoid duplicate comments, best practice dictates including prior review findings in the context when re-running reviews after new commits, explicitly instructing Claude to report only new or unaddressed issues.

NEW QUESTION # 83
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