A marketing team wants to build a natural language interface that lets business users ask questions about sales data in Snowflake and receive answers in plain English. Which combination of Cortex capabilities would support this?

Cortex ML functions for forecasting combined with search functions

Cortex text generation combined with external web scraping

Cortex anomaly detection combined with sentiment analysis

Cortex LLM functions combined with Snowflake's SQL engine to translate questions into queries

An e-commerce company wants to analyze product reviews to determine if customers are generally happy or unhappy with a new product line. Which Cortex use case directly addresses this?

Sentiment analysis on the review text

Forecasting future review volumes

Anomaly detection on review counts

Text generation to create new product descriptions

A retail company currently stores transactional data in Snowflake and runs batch forecasting models in a separate AWS SageMaker environment. The data science team must move the forecasting workload into Snowflake to reduce data movement and simplify governance. Which approach aligns with the Snowflake AI Data Cloud architecture?

Create a materialized view of the data and query it from SageMaker using the Snowflake connector.

Use Snowflake Cortex ML functions to run forecasting directly on the data in Snowflake.

Load the SageMaker predictions back into Snowflake after each batch run.

Export the data to an S3 bucket and trigger the existing SageMaker pipeline from a Snowflake task.

A healthcare analytics company stores patient outcome data in Snowflake. They want to build a model that predicts readmission risk and also generate a plain-language summary of the risk factors for each patient. Which approach leverages Snowflake's unified platform?

Use Cortex ML functions for prediction and Cortex LLM functions for the summary, all within Snowflake.

Use only Cortex LLM functions to predict readmission risk from text notes.

Use only Cortex ML functions to generate the plain-language summaries.

Export the data to an external ML platform for prediction and a separate LLM API for summaries.

A developer wants to use a Cortex LLM function to translate product descriptions from English to Spanish. The descriptions are in a Snowflake table. How should the developer call the function?

Use a Python script that connects to an external translation API

Use a SQL SELECT statement that references the column containing the descriptions

Use a Snowpipe to transform the data before loading

Use a stored procedure that calls a webhook

SnowPro® Core Certification

Domain 1Objective 4

Explain Snowflake AI Data Cloud Features and Cortex Capabilities COF-C03 Practice Questions (Page 2)

Part of the Snowflake AI Data Cloud Features and Architecture domain, which accounts for 31% of the COF-C03 exam.

26questions here

6free pages

4concepts

31%of the exam

Questions 6–10

6application · medium
A marketing team wants to build a natural language interface that lets business users ask questions about sales data in Snowflake and receive answers in plain English. Which combination of Cortex capabilities would support this?
Select an answer first
7application · easy
An e-commerce company wants to analyze product reviews to determine if customers are generally happy or unhappy with a new product line. Which Cortex use case directly addresses this?
Select an answer first
8application · medium
A retail company currently stores transactional data in Snowflake and runs batch forecasting models in a separate AWS SageMaker environment. The data science team must move the forecasting workload into Snowflake to reduce data movement and simplify governance. Which approach aligns with the Snowflake AI Data Cloud architecture?
Select an answer first
9application · medium
A healthcare analytics company stores patient outcome data in Snowflake. They want to build a model that predicts readmission risk and also generate a plain-language summary of the risk factors for each patient. Which approach leverages Snowflake's unified platform?
Select an answer first
10application · medium
A developer wants to use a Cortex LLM function to translate product descriptions from English to Spanish. The descriptions are in a Snowflake table. How should the developer call the function?
Select an answer first

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