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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

1. Your pipeline includes a release-notes generation step that classifies and summarizes approximately 200 commits at the end of each weekly release cycle. Each commit is currently sent as a separate Messages API call using a Sonnet-tier Claude model. The release notes are not needed until the following morning, so results have approximately 12 hours of acceptable latency. Your team needs to reduce per-token API cost for this step while keeping the same model and prompts, with no change to the model tier or output quality. Which approach satisfies all these constraints?

A) Issue the 200 Messages API requests in parallel using concurrent connections, because concurrency lowers the per-token price charged by the API.
B) Switch the summarization calls from the Sonnet-tier model to a Haiku-tier model to take advantage of Haiku's lower per-token rates.
C) Submit the 200 requests to the Message Batches API with unique custom_id values and retrieve the results after the batch finishes, which applies a 50% discount to all input and output tokens.
D) Concatenate all 200 commit messages into a single Messages API request and have the model return all summaries in one response, because fewer requests always reduce total token cost.

2. You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JSON schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
After your daily batch of 10,000 documents completes, 300 documents (3%) fail with context_length_exceeded errors. The results file identifies each failure by custom_id.
What is the most cost-effective approach to process these failures?

A) Reprocess the entire batch with prompt caching enabled to reduce the cost of retrying requests with identical system prompts.
B) Increase the max_tokens parameter for the 300 failed documents and resubmit them in a new batch.
C) Resubmit the entire 10,000-document batch using a model tier with a larger context window.
D) Resubmit only the 300 failed documents after chunking them into smaller pieces, and then combine the partial extractions.

3. After the web search and document analysis subagents complete their tasks, the coordinator needs to spawn the synthesis subagent to synthesize the findings. What is the correct approach for providing the synthesis subagent with the information it needs?

A) Include the complete findings from both subagents directly in the synthesis subagent's prompt
B) Pass reference identifiers and configure the subagent with read access to a shared memory store where other subagents deposited their results
C) Spawn the subagent with only a brief task description, relying on automatic context inheritance from the coordinator
D) Provide the subagent with tool definitions that allow it to request outputs from other subagents via callbacks

4. A developer wants Claude to consistently answer as an experienced cybersecurity analyst regardless of the user question. Which prompt component should contain this instruction?

A) System prompt
B) User message
C) Assistant response
D) Retrieved document

5. You are building a structured data-extraction system using Claude. The system extracts information from unstructured documents, validates output against JSON schemas, and integrates the results with downstream systems.
Monitoring reveals that specifications sometimes appear inconsistently within source documents.
For example, a summary section might state "Battery: 4000 mAh," while the detailed specifications table states "Battery: 4200 mAh." Your current schema contains a single battery_capacity field.
This inconsistency occurs in approximately 15% of documents, and historical analysis confirms that the detailed specifications table is accurate 90% of the time.
What is the most effective approach?

A) Change the field to an array that captures every discovered value and its source location, leaving downstream systems to apply precedence rules.
B) Reject every extraction containing conflicting values and require the source document to be corrected before processing continues.
C) Add a conflict_detected Boolean field and route every affected document for manual review.
D) Add extraction instructions specifying that values from the detailed specifications table take precedence when conflicting values exist, while retaining the single-value schema.

Solutions: