GES-C01 Exam Dumps | A financial analytics team is using to extract specific financial metrics (e.g., revenue, profit margin)

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Question 75/171

A financial analytics team is using to extract specific financial metrics (e.g., revenue, profit margin) from quarterly reports and requires the output in a strict JSON format for automated ingestion into a data warehouse. They've encountered issues where the LLM sometimes generates malformed JSON or includes extraneous text. Which of the following approaches will help ensure deterministic, schema-compliant JSON outputs and mitigate these 'hallucinations' related to format?

A. Option A

B. Option B

C. Option C

D. Option D

E. Option E

Correct Answer: A,B,C,D

Option A is correct because 'AI_COMPLETE Structured Outputs allows supplying a JSON schema via the 'response_format' argument, which defines the structure, data types, and constraints, ensuring responses conform to the schema and reducing post-processing. Option B is correct as it specifically states requirements for OpenAI (GPT) models when using 'response_format' , including 'additionalProperties: false' and explicitly listing all properties in the 'required' field. Option C is correct because, for medium-to-complex tasks, adding 'Respond in JSON' to the prompt can further improve JSON adherence accuracy, even when 'response_format' is specified. Option D is correct as setting 'temperature' to 0 is recommended for the most consistent results, which is crucial for deterministic JSON outputs, regardless of task or model. Option E is incorrect because 'CLASSIFY_TEXT is for categorizing text, not for validating JSON structure, making it an inappropriate tool for this task.

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