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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. The maximum compressed layer size for an image registry is consistent across all cloud providers and regions, typically 160 GiB.
• B. Dropping individual images from a repository is supported, allowing for granular management of stored container images.
• 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. Image repositories are primarily used for storing pre-trained Snowflake ML models and do not support custom third-party container images.

A data engineer is designing an automated pipeline to process customer feedback comments from a 'new_customer_reviews' table, which includes a 'review_text' column. The pipeline needs to classify each comment into one of three predefined categories: 'positive', 'negative', or 'neutral', and store the classification label in a new 'sentiment_label' column.
Which of the following statements correctly describe aspects of implementing this data transformation using 'SNOWFLAKE.CORTEX.CLASSIFY_TEXT' in a Snowflake pipeline?

• A. Both the input string to classify and the are case-sensitive, potentially yielding different results for variations in capitalization.
• B. The cost for 'CLASSIFY _ TEXT is incurred based on the number of pages processed in the input document.
• C. The argument must contain exactly three unique categories for sentiment classification.
• D. Including an optional 'task_description' such as
  
• E. The classification can be achieved by integrating a 'SELECT statement with
  

A data scientist is implementing a Retrieval Augmented Generation (RAG) system in Snowflake for a legal document repository. They need to convert legal document chunks into vector embeddings and efficiently find the most relevant document chunks based on a user's query. Which of the following statements accurately describe the process and best practices for creating and using these vector embeddings with Snowflake Cortex LLM functions?

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

A Gen AI engineer is tasked with selecting the most suitable Large Language Model (LLM) from Snowflake Cortex AI for a new customer service chatbot. They need to rapidly prototype and compare different LLMs with varying parameters on a sample dataset before committing to a production deployment. Which of the following statements accurately describe how the Cortex Playground (Public Preview) can assist in this scenario?

• A. It allows direct fine-tuning of selected LLMs with custom datasets within the playground interface to improve model performance for specific tasks.
• B. It provides a mechanism to deploy the chosen LLM directly into Snowpark Container Services (SPCS) compute pools from within the playground for immediate production use.
• C. It supports exporting the tested prompts and model configurations as Python code, ready for integration into a Snowpark ML pipeline.
• D. It enables side-by-side comparison of model outputs for different LLMs and model settings, facilitating an informed decision on model selection.
• E. It allows connection to a Snowflake table with textual data, processing up to 100 rows, to experiment with prompts directly on actual data.

A data engineer is tasked with establishing a robust MLOps pipeline using the Snowflake Model Registry. They have trained a scikit-learn model and need to log it. Which of the following statements correctly describes a 'required' step or privilege for successfully logging a model using the 'Registry.log_model' method?

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