Snowflake GES-C01 Value Pack (Frequently Bought Together)

A Streamlit application developer wants to use AI_COMPLETE (the latest version of COMPLETE (SNOWFLAKE.CORTEX)) to process customer feedback. The goal is to extract structured information, such as the customer's sentiment, product mentioned, and any specific issues, into a predictable JSON format for immediate database ingestion. Which configuration of the AI_COMPLETE function call is essential for achieving this structured output requirement?

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

A Gen AI Specialist is setting up Snowpark Container Services (SPCS) to host a custom open-source LLM. They need to understand the fundamental nature and constraints of image repositories within Snowflake. Which of the following statements accurately describe image repositories in Snowflake's Snowpark Container Services?

• A. Image repositories are primarily used for storing pre-trained Snowflake ML models and do not support custom third-party container images.
• B. The maximum compressed layer size for an image registry is consistent across all cloud providers and regions, typically 160 GiB.
• C. An image repository in Snowflake is an OCIv2 compliant service used exclusively for storing Docker images, not other OCI-compliant container images.
• D. Image repositories are storage units within an image registry service, and they are used to store OCI-compliant container images.
• E. Dropping individual images from a repository is supported, allowing for granular management of stored container images.

A data team is refining their Cortex Analyst semantic model to improve the accuracy of responses for specific, frequently asked questions and to enable better literal value searches. Consider a semantic model being developed to address these requirements. Which two configurations or features are directly relevant and correctly applied in the semantic model YAML for these purposes?

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

An organization operating in the AWS US West 2 (Oregon) region needs to process sensitive customer support tickets using Snowflake Cortex LLM functions. Due to the diverse availability of specific LLMs, they are considering enabling CORTEX_ENABLED_CROSS_REGION. What is a key data safety and security consideration when enabling CORTEX_ENABLED_CROSS_REGION for Snowflake Cortex LLM functions, specifically regarding data storage and persistence?

• A. It enables inference for features not supported in the local region by allowing data to be processed in a different Snowflake region, and user inputs, prompts, and outputs are not stored or cached.
• B. User inputs and service-generated prompts will be stored in a cache in the remote region to optimize subsequent requests.
• C.
  
• D. Data transmitted across regions for inference is encrypted by default, but the encryption keys are managed by the third-party cloud provider in the remote region.
• E. It may lead to increased compute costs if the cross-region model is more expensive, but data movement guarantees remain unchanged.

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