Snowflake GES-C01 Exam Dumps Collection & GES-C01 Vce Torrent

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Snowflake SnowPro® Specialty: Gen AI Certification Exam Sample Questions (Q164-Q169):

NEW QUESTION # 164
A Snowflake data engineering team needs to implement a system where they can call the SNOWFLAKE .CORTEX. COMPLETE function using the model, which is hosted in a different region than their primary Snowflake account. They also want to ensure that only llama3.1-8b approved models are callable. Which of the following configurations or privileges are necessary to achieve these requirements?

Answer: A,B,D

Explanation:


NEW QUESTION # 165
A Snowflake administrator needs to configure Snowflake Copilot for a team distributed across different geographical regions, some of which are not natively supported for Copilot. Additionally, the team requires Copilot to adopt a specific tone in its responses. Which of the following correctly outlines the configuration steps for these requirements?

Answer: B

Explanation:


NEW QUESTION # 166
A Gen AI Specialist is setting up AI Observability for a new generative AI application in Snowflake to monitor its performance and debug issues. The application is built in Python. Which of the following prerequisites must be met to enable tracing for this application?

Answer: B,E

Explanation:


NEW QUESTION # 167
A Gen AI developer is using 'SNOWFLAKE.CORTEX.COMPLETE" to generate concise summaries of legal documents. Initially, the LLM sometimes provides overly creative or slightly off-topic responses, indicating potential 'hallucinations' or a lack of focus. To improve the factual accuracy and conciseness of the summaries, which combination of prompt engineering techniques and 'COMPLETE' function options should be prioritized?

Answer: D

Explanation:
To reduce 'hallucinations' and improve factual accuracy and conciseness, applying 'first principles thinking' by breaking prompts into logical steps helps the model respond from foundational concepts rather than assumptions. Setting 'temperature' to 0 yields the most consistent and deterministic results, which is crucial for factual accuracy and conciseness in summaries. Defining a 'creative writer' persona or using a high 'temperature' would increase diversity and potentially lead to more hallucinations (Option A). Instructing the model to 'think out loud' (Option C) enhances transparency of thought but does not directly enforce factual accuracy or conciseness in the way 'first principles' and low 'temperature' do. 'max_tokens' (Option C) affects output length, not necessarily accuracy or conciseness. A broad 'task description' (Option D) might not be specific enough, and 'top_p' also influences diversity. 'Stop sequences' (Option E) help with truncation but do not prevent factual errors or improve conciseness directly from the model's generation process.


NEW QUESTION # 168
A Gen AI specialist is preparing to upload a large volume of diverse documents to an internal stage for Document AI processing. The objective is to extract detailed information, including lists of items and potentially classifying document types, and then automate this process. Which of the following statements represent 'best practices or important considerations/limitations' when preparing documents and setting up the Document AI workflow in Snowflake? (Select ALL that apply.)

Answer: A,C,D,E

Explanation:


NEW QUESTION # 169
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