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Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. A financial institution is deploying a sentiment analysis application that uses Snowflake Cortex 'SENTIMENT' and 'COMPLETE' functions, with different LLMs, for processing customer feedback. They are using AI Observability (Public Preview) to compare the cost- efficiency of using 'mistral-7b' versus 'claude-3-5-sonnet' as LLM judges for evaluation metrics, and also tracking the overall cost of their AI Observability usage. Which statements accurately reflect the cost implications and monitoring tools for this scenario?

A) Option A
B) Option E
C) Option D
D) Option B
E) Option C

2. A Gen AI Specialist is developing a conversational analytics application using Cortex Analyst, aiming to provide a seamless multi-turn conversation experience for business users querying structured dat a. The team observes that follow-up questions are sometimes misinterpreted, especially when the conversation history is long. Which of the following statements accurately describe how Cortex Analyst handles multi-turn conversations and key considerations for optimizing this functionality?

A) When a user shifts intent frequently in a multi-turn conversation, Cortex Analyst automatically resets the conversation history to prevent misinterpretations and improve accuracy.
B) Multi-turn conversation in Cortex Analyst is primarily handled by the CORTEX_ANALYST_MODEL AZURE_OPENAI parameter, which, when enabled, allows Azure OpenAl models to manage conversational context more effectively.
C) Cortex Analyst simply passes the entire conversation history to all subsequent LLM calls, and optimizing this requires manually truncating the array in messages the REST API request.
D) To address misinterpretation in long conversations, the max_tokens parameter for the Cortex Analyst REST API should be significantly increased to ensure the LLM receives the complete historical context without truncation.
E) Cortex Analyst incorporates an additional LLM summarization agent before its original workflow to rewrite current-turn questions based on conversation history, with Llama 3.1 70B being a recommended model for this task due to its performance in evaluating summarization quality.

3. A security administrator needs to manage access to Snowflake Cortex LLM functions and models, and ensure compliant usage across different regions for various teams. Which configuration options and parameters are relevant for these requirements?

A) Option A
B) Option E
C) Option D
D) Option B
E) Option C

4. A company is building an enterprise search solution in Snowflake, where user queries are converted into embeddings and then used to find relevant documents from a large corpus. The search logic heavily relies on VECTOR_COSINE_SIMILARITY Which of the following design choices or operational considerations are critical for a robust and efficient implementation using Snowflake's vector capabilities? (Select all that apply)

A) Storing document embeddings in a
B) For improved retrieval quality in RAG scenarios, it is recommended to split text into smaller chunks, ideally no more than 512 tokens, before generating embeddings for subsequent
C) Bind variables can be used to pass query vector literals securely and efficiently to
D) To keep document embeddings updated efficiently, a
E) When deploying custom embedding models or complex search logic, Snowpark Container Services can host GPU-accelerated environments, while

5. An analytics team is preparing documents for a new Document AI model build to extract information from internal policy reviews. They have a variety of documents that they intend to upload to an internal stage for processing. The document list includes: (1) a 70 MB PDF with 100 pages, (2) a 45 MB DOCX with 150 pages, (3) a 30 MB PNG image, (4) a 60 MB TIFF image, and (5) a 20 MB HTML file. All documents are in English. Which of these documents would 'fail' to meet the direct input requirements for Document AI processing?

A) The 70 MB PDF with 100 pages.
B) The 45 MB DOCX with 150 pages.
C) The 20 MB HTML file.
D) The 60 MB TIFF image.
E) The 30 MB PNG image.

Solutions: