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Timely product maintenance

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Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. A data engineer is integrating SNOWFLAKE. CORTEX. CLASSIFY_TEXT into an automated data pipeline that uses dynamic tables to process and transform streaming text dat a. They have ensured that the service account used has been granted the necessary SNOWFLAKE. CORTEX_USER database role. After deploying the pipeline, they consistently receive an error whenever CLASSIFY_TEXT is invoked. Which of the following is the most likely cause of the error encountered by the data engineer?

A) The input text being processed by 'CLASSIFY _ TEXT includes extensive non-plain English content, such as code blocks, which causes the function to fail with an error.
B) The array contains more than 100 unique categories, exceeding the maximum allowed limit for the function.
C) Snowflake Cortex functions, including 'CLASSIFY_TEXT , currently do not support integration with dynamic tables within data pipelines.
D) The 'task_description' provided in the optional arguments for 'CLASSIFY_TEXT exceeds the recommended length of approximately 50 words, leading to a validation error.
E) The role used by the data engineer, despite having 'SNOWFLAKE.CORTEX_USER, lacks the fundamental 'USAGE privilege on the database where the text data is stored.

2. A new Gen AI specialist is setting up Document AI. They have successfully created the necessary database, schema, and a custom role named 'doc_ai specialist_role'. This custom role has been granted the 'SNOWFLAKE.DOCUMENT INTELLIGENCE CREATOR database role. However, when the specialist attempts to create a new Document AI model build in Snowsight, they receive the error: Unable to create a build on the specified database and schem a. Please check the documentation to learn more.
What is the most likely missing privilege for the that is preventing the model build creation?

A)

B)

C)

D)

E) The virtual warehouse assigned to the Document AI environment is not large enough to support model build creation.

3.

A)

B)

C)

D)

E)

4. A data application developer is tasked with building a multi-turn conversational AI application using Streamlit in Snowflake (SiS) that leverages the COMPLETE (SNOWFLAKE. CORTEX) LLM function. To ensure the conversation flows naturally and the LLM maintains context from previous interactions, which of the following is the most appropriate method for handling and passing the conversation history?

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

5. A data engineering team is optimizing an AI-infused pipeline that processes millions of rows of customer interaction data in a LOG_DATA table using various Snowflake Cortex AI functions. They need to accurately estimate costs and ensure optimal performance. Which of the following statements regarding cost, performance, and operational considerations for these functions are true?

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

Solutions: