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Snowflake SnowPro® Specialty: Gen AI Certification Exam Sample Questions (Q328-Q333):

NEW QUESTION # 328
A Snowflake account administrator in an Azure East US 2 region needs to enable users to access a new, highly capable LLM, 'claude-3-5-sonnet' , which is currently only natively available in AWS regions via Snowflake Cortex. The administrator also wants to ensure that only specific, approved LLMs can be used across the organization. Which configuration steps are necessary for the administrator to achieve these requirements?

Answer: E

Explanation:
Option A is partially correct but incomplete. Setting to 'TRUE or 'ANY_REGION' allows cross-region inference. However, ' TRUE' is not a valid value for 'CORTEX ENABLED CROSS REGION in the provided sources, it can be a list of regions or 'ANY_REGION'. The does control which models can be used. Option B is correct. To call Snowflake Cortex AI functions, the 'SNOWFLAKE.CORTEX USER database role is required. To access 'claude-3-5-sonnet' (which is available via cross-cloud inference) from an Azure region when it's natively available in an AWS region, the 'CORTEX ENABLED CROSS REGION' parameter must be configured to allow it, either by specifying 'ANY REGION' or listing the relevant AWS region. Additionally, the parameter is used by administrators to restrict or allow access to specific LLMs within Snowflake. 'claude-3-5-sonnet' is a supported model for 'AI_COMPLETE' and 'COMPLETE. Option C is incorrect. 'claude-3-5-sonnet' is an Anthropic model, not an OpenAl GPT model. Furthermore, is a legacy parameter for Cortex Analyst specifically for Azure OpenAl models, and its use is discouraged. Option D is incorrect. While 'COMPUTE POOL' and instance families are used for Snowpark Container Services and Hugging Face models can be deployed this way, this scenario involves directly using a Snowflake-hosted Cortex LLM ('claude-3-5-sonnet') rather than deploying a custom external model, and 'claude-3-5-sonnet' is not a PyCaret model. Option E is incorrect. While RBAC applies to model objects, the 'CORTEX MODELS ALLOWLIST' is an account-level parameter used by administrators to limit which LLMs can be used, overriding or complementing individual object grants.


NEW QUESTION # 329
A data scientist fine-tuned a mistral-lb model in Snowflake for a specific customer support response generation task, naming it my_custom_responder_model. They now want to make this model available for AI_COMPLETE calls in production, ensuring proper access control and regional availability. Which of the following statements is true regarding the deployment and management of this fine-tuned model in Snowflake?

Answer: E

Explanation:


NEW QUESTION # 330
A business is implementing Snowflake Document AI to process a high volume of scanned legal contracts. The contracts are in PDF format, average 75 pages each, and some are up to 45 MB in size. They need to extract specific clauses, contract dates, and signatory names, including any handwritten elements. The business requires the extracted data to be available for continuous processing within an automated pipeline. Which of the following considerations are critical for successful implementation of this Document AI solution?

Answer: A,C,D

Explanation:
Option A is correct. Document AI supports PDF, PNG, DOCX, EML, JPEG, JPG, HTM, HTML, TEXT, TXT, TIF, TIFF formats. Documents must be no more than 125 pages long and 50 MB or less in size. The contracts, at 75 pages and 45 MB, are within these limits. DocumentAI also automatically detects page orientation. Option B is correct. The accuracy of extracting handwritten information depends on text recognition. If readability is low, reviewing the document to improve image quality or using the OCR score (provided in the documentMetadata.ocrScore' field of the JSON output) to flag documents for additional review is helpful. Option C is incorrect. Document AI provides both zero-shot extraction and fine-tuning capabilities. You can fine-tune the Arctic-TILT model to improve results on documents specific to your use case. The S!PREDICT method is used for extraction after the model is ready, which can be zero-shot or fine-tuned. Option D is incorrect. While creating a stream on a stage and a task is the correct approach for continuous processing, Document AI has a limitation for the number of documents processed in one query, supporting a maximum of 1000 documents, not 500. Option E is correct. The Document AI model can return lists, and for complex extractions like lists of line items (or in this case, clauses), the foundational model may not immediately understand the intent. Training with annotations and corrections is crucial to achieve the desired output.


NEW QUESTION # 331
A data application developer is tasked with building a multi-turn conversational AI application using Streamlit in Snowflake (SiS) that leverages the COMPLETE (SNOWFLAKE. CORTEX) LLM function. To ensure the conversation flows naturally and the LLM maintains context from previous interactions, which of the following is the most appropriate method for handling and passing the conversation history?

Answer: E


NEW QUESTION # 332
A data engineering team is planning to build a real-time data pipeline using Snowflake's dynamic tables to process incoming log dat a. They want to use SNOWFLAKE. CORTEX. EXTRACT_ANSWER to pull out specific error codes and timestamps from log entries. They are also mindful of the operational costs. Which of the following statements accurately describes limitations or cost considerations for using SNOWFLAKE . CORTEX. EXTRACT_ANSWER in this scenario?

Answer: A,D

Explanation:
Option A is correct because Snowflake Cortex functions, including , do not support dynamic tables. Option B is correct because for EXTRACT_ANSWER, the number of billable tokens is the sum of the number of tokens in the (source document) and 'question' fields. Option C is incorrect; Snowflake recommends executing queries that call Cortex AISQL functions with a smaller warehouse (no larger than MEDIUM) as larger warehouses do not increase performance. Option D is incorrect; inputs that exceed the model's token limit result in an error, rather than automatic truncation. Option E is incorrect; while the newer 'AI_EXTRACT supports multiple languages, the documentation for "EXTRACT_ANSWER does not explicitly state multi-language support and generally refers to plain English text. Costs are incurred per token regardless of language.


NEW QUESTION # 333
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