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Snowflake SnowPro® Specialty: Gen AI Certification Exam Sample Questions (Q72-Q77):

NEW QUESTION # 72
A Snowflake administrator is tasked with ensuring that a specific data science team can only use approved LLMs (mistral-7b, llama3.1-8b) for generative AI tasks within a particular schema, and also needs to enable the use of an LLM in a non-native region due to specific project requirements. Which combination of configurations would meet these requirements?

A. Option E
B. Option C
C. Option A
D. Option B
E. Option D

Answer: C,D

Explanation:

NEW QUESTION # 73
An organization is planning to deploy Snowflake Cortex Agents for sensitive financial reporting, requiring strict adherence to data governance policies and clear understanding of cost drivers. Which of the following statements about governance and cost considerations for Cortex Agents are true?

A. Monitoring of Cortex Agent interactions for debugging and refinement is exclusively performed through internal Snowflake system logs, with no external SDK support.
B. To use a semantic model with Cortex Agents, the role executing the agent request requires only the SNOWFLAKE .CORTEX_AGENT_USER role, as it implicitly inherits all necessary privileges for semantic model access.
C. Cortex Agents are powered by Snowflake-hosted LLMs by default, ensuring that all customer data and prompts remain within Snowflake's governance boundary.
D. Usage costs for Cortex Agents are primarily driven by the number of tokens processed by the underlying LLMs for orchestration and the compute/service costs of tools like Cortex Analyst and Cortex Search.
E. The CORTEX_DOCUMENT_PROCESSING_USAGE_HISTORY view provides detailed credit consumption for Cortex Agent activities, including orchestration steps and tool usage.

Answer: C,D

Explanation:
Option A is correct. By default, Cortex Analyst (which Cortex Agents use as a tool) is powered by Snowflake-hosted LLMs from Mistral and Meta, ensuring that no data, including metadata or prompts, leaves Snowflake's governance boundary. This principle extends to Cortex Agents that leverage these models for orchestration. Option C is correct. Cortex Agents orchestrate LLMs and use various tools like Cortex Analyst and Cortex Search. LLM functions incur compute cost based on tokens processed, and services like Cortex Analyst and Cortex Search have their own credit consumption models (e.g., Cortex Analyst bills per message, Cortex Search bills per GB/mo of indexed data, and AI Observability's LLM judges incur COMPLETE function call charges). Therefore, an agent's total cost is a composite of these underlying services and LLM calls. option B is incorrect as view specifically displays Document AI processing function activity, not Cortex Agent activity. Option D is incorrect. While ' SNOWFLAKE.CORTEX AGENT USER provides access to the Agents feature, using Cortex Agents with a semantic model requires additional privileges, including USAGE on the Cortex Search services and the database/schema/tables referenced in the semantic model. Option E is incorrect; AI Observability in Snowflake Cortex, which leverages TruLens Python packages, is explicitly designed for evaluating and tracing generative AI applications, including agents, for debugging and refining performance.

NEW QUESTION # 74
A security audit is being conducted for a financial institution using Snowflake Cortex. Which of the following statements accurately describe Snowflake's data safety and security guarantees concerning whether customer data, metadata, or prompts leave Snowflake's governance boundary to a third-party when using Cortex features, under the default Snowflake configurations for Cortex functions unless otherwise specified?

A. When using SNOWFLAKE .CORTEX. COMPLETE with Snowflake-hosted LLMs like all prompts and generated responses remain within Snowflake's mistral-large2, governance boundary by default.
B. When CORTEX_ENABLED_CROSS_REGION is active for Cortex LLM functions, user inputs and outputs are always cached in the intermediate region to reduce latency, thereby leaving the primary region's immediate governance.
C. For Cortex Analyst, if the legacy ENABLE_CORTEX_ANALYST_MODEL_AZURE_OPENAI account parameter is set to TRUE, customer metadata and prompts are transmitted to Azure OpenAI, but the underlying customer data is not.
D. Customer Data and inputs to Snowflake AI Features are never used by Snowflake to train or fine-tune models made available to other customers.
E. Models brought into Snowflake via Snowpark Container Services (BYOM) are treated as Snowflake's proprietary models, meaning Snowflake assumes responsibility for their data handling policies.

Answer: A,C,D

Explanation:
Option A is correct because Snowflake explicitly states that Usage and Customer Data (including inputs and outputs) are NOT used to train, re-train, or fine-tune Models made available to others, and fine-tuned Models are available exclusively for the customer's use. Option B is correct as all models powering Snowflake Cortex AI functions are fully hosted in Snowflake, ensuring performance, scalability, and governance while keeping customer data secure and in place within Snowflake's governance boundary. Option C is correct as this describes a specific, legacy exception for Cortex Analyst: if the 'ENABLE CORTEX ANALYST MODEL_AZURE OPENAI' parameter is 'TRUE', then *only metadata and prompts* are transmitted outside of Snowflake's governance boundary to Microsoft Azure (a third party), while Customer Data itself is not shared. Option D is incorrect because models brought into the Service account (BYOM), for example via Snowpark Container Services, are treated as Customer Data, not Snowflake's proprietary models, and are subject to the customer's own rights and obligations as per their Customer Agreement. Option E is incorrect because when 'CORTEX ENABLED_CROSS REGION' is enabled, user inputs, service generated prompts, and outputs are explicitly *not stored or cached* during cross-region inference.

NEW QUESTION # 75
A legal department uses Snowflake to manage and review large volumes of contracts. They need to automate the process of finding specific pieces of information, such as the effective_date or involved_parties, from these unstructured contract texts. They are considering using SNOWFLAKE. CORTEX. EXTRACT_ANSWER. Which characteristic correctly describes the primary intent or behavior of SNOWFLAKE. CORTEX. EXTRACT_ANSWER, distinguishing it from other LLM functions?

A. It classifies an input text into one of several predefined categories provided by the user.
B. It focuses on identifying and returning a direct answer to a specific question contained within the provided source document.
C. It transforms an input document into a summarized version, reducing its length while preserving key information.
D. It evaluates a text and returns a numeric score indicating the overall positive or negative sentiment.
E. It is primarily designed to generate entirely new text based on a given prompt, much like a conversational AI.

Answer: B

Explanation:
Option D is correct. The 'SNOWFLAKE.CORTEX.EXTRACT_ANSWER function is specifically designed to extract an answer to a given question from a text document. Option A describes the 'COMPLETE function. Option B describes the 'SENTIMENT function. Option C describes the 'CLASSIFY_TEXT function. Option E describes the 'SUMMARIZE function.

NEW QUESTION # 76

A. Cross-region inference is automatically managed by Snowflake for allowed models, implying that a new, larger virtual warehouse is required to handle the cross- region data transfer overhead.
B.
C.
D.
E.

Answer: D

Explanation:

NEW QUESTION # 77
......

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