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Snowflake GES-C01 Exam Syllabus Topics:

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. 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.

2. 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

3. 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

4. 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.

5. 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

Solutions: