SnowPro Advanced: Architect — Question 111

A company is implementing a machine learning use case on a very large data set which will require high volumes of memory and compute resources.

How should this Snowflake architecture be designed to meet these requirements?

Answer options

• A. Use a Snowpark-optimized virtual warehouse.
• B. Use a standard multi-cluster virtual warehouse in maximized mode.
• C. Use a standard virtual warehouse with the search optimization service implemented.
• D. Use a standard virtual warehouse with the query acceleration service implemented.

Correct answer: A

Explanation

The correct answer is A because a Snowpark-optimized virtual warehouse is specifically designed to handle the demands of machine learning workloads, offering enhanced compute and memory capabilities. The other options, while useful, do not provide the same level of optimization for heavy machine learning tasks as a Snowpark-optimized warehouse does.