Exam GES-C01 Topic 1 Question 104 Discussion

Actual exam question for Snowflake's GES-C01 exam
Question #: 104
Topic #: 1

A developer is refining a Document AI extraction process using the '!PREDICT' method and is meticulously examining the JSON output for invoices, which include 'invoice number', 'invoice items', 'tax amount', and 'vendor name'. They also have a detailed internal table of 'product details' to be extracted. To ensure optimal data quality and accurate interpretation of the extracted information, which of the following best practices or characteristics of Document AI's output should the developer consider?

A. The 'ocrScore' provided in the '_documentMetadata' object for each document indicates the model's confidence in the content of specific extracted values, rather than the overall quality of the optical character recognition process. B. When extracting lists of values, such as 'invoice_items', the Document AI model returns them as an array in the JSON output, preserving the original order of items as they appear in the document. C. For table extraction, such as the extracted values for each column (e.g., 'tablel litem', 'tablel Igross) are ordered consistently with the rows of the original table, facilitating direct joining of columns. D. To maximize accuracy when defining data values, questions should be broadly generic (e.g., 'What is the amount?) to allow the Document AI model to infer the most relevant context, especially for fields like 'tax_amount' where multiple numbers might be present. E. If the 'vendor_name' field cannot be confidently identified in a document, the model will include '"vendor_name": [ { "score": O.X, "value": "NOT FOUND" } l' in the JSON output.

Suggested Answer: B,C Vote an answer

Option A is incorrect. The 'ocrScore' in the '_documentMetadata' field specifies the confidence score for the optical character recognition (OCR) 'process' for that document, not the confidence of specific extracted values. The 'score' field associated with individual extracted values indicates confidence for that specific value. Option B is correct. Document AI models can return lists, and the 'invoice_itemS field is given as an example. The JSON format for 'invoice_items' shows an array of objects for multiple items. The order is inherently maintained in such list extractions. Option C is correct. The sources explicitly state that in table extraction, the values in the JSON output are provided in the same order as the rows in the table, which allows columns to be easily joined. This ensures the structural integrity of the extracted table data. Option D is incorrect. For question optimization, it is crucial to be specific and precise. The guidelines advise against asking generic questions like 'What is the date?' without including more details, especially when multiple similar values might be present, as Document AI is not expected to guess intentions or have extended domain knowledge. Option E is incorrect. If the Document AI model does not find an answer (such as it does not return a 'value' key at all within that field, although it does return the 'score' key to indicate its confidence that the answer is not present.

by Philip at Jun 30, 2026, 02:29 AM

Limited Time Offer

15%

Off

Get Premium GES-C01 Questions as Interactive Self Test Engine or PDF

Comments

0 Satisfied Customers

0 Shares

0 Demo Downloads

10 Years in Business