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Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1.
Which of the following is a 'direct cause' of this error related to missing schema-level privileges, assuming the model build name is unique and the warehouse is active and accessible?

A)

B)

C)

D)

E)

2. A development team is preparing to deploy a new Retrieval-Augmented Generation (RAG) application written in Python. They intend to use Snowflake AI Observability to capture detailed logs and traces for debugging and performance analysis. Which of the following configurations are essential prerequisites for enabling this logging capability effectively?

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

3. 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 20 MB HTML file.
B) The 30 MB PNG image.
C) The 45 MB DOCX with 150 pages.
D) The 60 MB TIFF image.
E) The 70 MB PDF with 100 pages.

4. A financial institution uses Snowflake Cortex LLM functions to process customer feedback. They initially used SNOWF LAKE .CORTEX.SENTIMENT for general sentiment analysis. Now, they need to extract specific sentiment categories (e.g., 'service_quality', 'product_pricing') and the sentiment for each, expecting the output in a structured JSON format for automated downstream processing. Which AI_COMPLETE configuration best addresses their new requirement while considering cost-efficiency and output reliability?

A)

B)

C)

D)

E)

5. A machine learning engineer is building a product recommendation system in Snowflake that uses item embeddings and customer query embeddings for similarity matching. They plan to use the VECTOR_L1_DISTANCE function to find the closest products to a user's query. Which statement accurately describes the cost and data type considerations for this approach?

A) The
B) Both

C) Executing the

D) Storing the item and query embeddings in
E) The maximum dimension for a

Solutions: