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Snowflake SnowPro® Specialty: Gen AI Certification Exam Sample Questions (Q243-Q248):

NEW QUESTION # 243
A data engineer has successfully experimented with a prompt and various model settings in the Snowflake Cortex Playground for a text classification task using the mistral-large2 model and Cortex Guard. They now want to operationalize this solution within their Snowflake environment. Which of the following statements correctly describe capabilities or considerations when moving from the Cortex Playground to a production pipeline?

Answer: A,B,D,E

Explanation:
The Cortex Playground offers the capability to export the exact SQL query, including specified settings like 'temperature' and whether Cortex Guard is enabled. This exported SQL can be directly used in Snowflake worksheets, notebooks, or automated via streams and tasks for continuous execution. Cortex Guard is a feature of the (or ' COMPLETE) function, built with Meta's Llama Guard 3, and needs to be explicitly enabled using the 'guardrails' option to filter unsafe responses. Automation with streams and tasks is a valid approach for document processing pipelines using 'PREDICT' and 'COMPLETE' functions. If a model like 'mistral-large? is not natively available in a specific Snowflake region, cross-region inference must be enabled for Cortex LLM functions. However, dynamic tables do not currently support incremental refresh when using the 'COMPLETE' function.


NEW QUESTION # 244
An administrator has configured the 'CORTEX MODELS ALLOWLIST parameter to only permit the 'mistral-large? model at the account level. A user with the 'PUBLIC' role, which has been granted 'SNOWFLAKE.CORTEX USER and 'SNOWFLAKE."CORTEX- MODEL-ROLE-LLAMA3.1-70B"' , attempts to execute several 'COMPLETE (SNOWFLAKE.CORTEX)' queries. Which of the following queries will successfully execute?

Answer: C,E

Explanation:
Option A is correct because the query directly references 'MISTRAL-LARGE2', which is explicitly in the account-level , so it will succeed. Option B is correct because when a model name is provided as a fully-qualified string argument (e.g., Cortex treats it as an identifier for a schema-level model object. If found, role-based access control (RBAC) is applied. The user's role has granted, which provides access to the 'LLAMA3.1-70B' model object in 'SNOWFLAKE.MODELS, regardless of the setting for plain model names. Option C is incorrect. When 'llama3.1-70b' is provided as a plain model name string, Cortex first attempts to match it as a schema-level model object (e.g., 'SNOWFLAKE.MODELS.llama3.1-70b). If this direct match fails (which is typical for a plain, unquoted name not exactly matching a model object identifier), it then checks the plain name 'llama3.1-70b' against the 'CORTEX MODELS ALLOWLIST. Since 'llama3.1- 70b' is not in the allowlist, this query will fail, even though the user has access to the fully-qualified model object. Option D is incorrect as 'snowflake-arctic' is neither in the 'CORTEX MODELS ALLOWLIST' nor does the user have a specific application role granting access to a 'snowflake-arctic' model object. Option E is incorrect because 'ALTER ACCOUNT operations can only be performed by the 'ACCOUNTADMIN' role, not by a user with the FUBLIC' role.


NEW QUESTION # 245
An engineering team is building an advanced analytics pipeline where daily customer activity vectors (each 512 dimensions) are compared against a set of known activity patterns using VECTOR_L2_DISTANCE The pipeline is orchestrated using Snowflake Tasks. Which operational best practice or limitation should the team consider when processing these vector distances at scale?

Answer: C

Explanation:
Option A is incorrect. Snowflake recommends executing queries that call Cortex AI SQL functions with a smaller warehouse (no larger than MEDIUM), as larger warehouses do not increase performance. Snowpark-optimized warehouses are generally recommended for workloads with large memory requirements or dependencies on specific CPU architectures, not as a general performance booster for Cortex AI functions. Option B is incorrect.
TRY COMPLETE
is a function designed for LLM completions (like
COMPLETE
) to return
NULL
instead of an error, and it is not applicable to vector distance functions like VECTOR_L2_DISTANCE Option C is incorrect. The VECTOR data type is not supported for use with dynamic tables. Option D is incorrect. Bind variables are not supported with the VECTOR data type. Option E is correct. Snowflake's documentation explicitly states that queries calling Cortex AI SQL functions, which includes vector similarity functions, perform optimally on smaller warehouses (no larger than MEDIUM) because larger warehouses do not increase performance for these specific functions.


NEW QUESTION # 246
A security-conscious data scientist in an Azure East US 2 (Virginia) account wants to fine-tune a mistral -7b model for a specific text summarization task and then deploy it for real-time inference using the Cortex REST API. The mistral-7b base model is natively available for fine-tuning in Azure East US 2 (Virginia). For subsequent inference using the fine-tuned model, they need to understand the regional and cross-region inference considerations. Which of the following statements are correct?

Answer: A,C,D,E

Explanation:


NEW QUESTION # 247
A Snowflake administrator needs to implement a granular access control strategy for LLMs. The general policy is to restrict access to a select few models via an account-level allowlist. However, a specific data science team (using role 'DATA SCIENCE TEAM ROLE) requires access to the 'claude-3-5-sonnet' model, which should not be available to other users or globally via the allowlist. Given this scenario, which set of commands would correctly establish this access control while adhering to the specified requirements?

Answer: A

Explanation:
Option A is correct. This sequence of commands sets an account-level allowlist for 'mistral-large? and 'snowflake-arctic' (restricting general access), and then explicitly grants the access to the 'claude-3-5-sonnet' model object using its dedicated application role 'SNOWFLAKE."CORTEX-MODEL-ROLE-CLAUDE-3-5-SONNET"'. The call is often necessary after 'ALTER ACCOUNT SET to ensure the changes are applied. Option B is incorrect because 'ALTER ACCOUNT requires the 'ACCOUNTADMIN' role, and setting to 'claude-3-5-sonnet' would make it globally available, contradicting the requirement. 'REVOKE APPLICATION ROLE' from 'PUBLIC' is not the correct mechanism to grant specific access. Option C is incorrect because model-level RBAC for base models in 'SNOWFLAKE.MODELS is primarily applied using application roles like 'CORTEX-MODEL-ROLE-', not directly with 'GRANT USAGE ON MODEL'. Option D is incorrect. While clearing the allowiist is possible, 'GRANT USAGE ON ALL MODELS IN SCHEMA SNOWFLAKE.MODELS' would grant access to 'all' models in that schema, which contradicts the requirement for 'claude-3-5-sonnet' to be exclusive to the data science team and not generally available. Option E is incorrect because 'ALTER ACCOUNT requires the ACCOUNTADMIN' role, and setting the allowlist to 'claude-3-5-sonnet' would make it generally available, violating the isolation requirement.


NEW QUESTION # 248
......

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