Which use case is valid for SnowCD?

• A. Integrating SnowCD into automated deployment scripts
• B. Using SnowCD to load data from Kafka
• C. Visualizing query performance with SnowCD
• D. Scheduling data replication with SnowCD

Answer: (A)

SnowCD is built to automate and orchestrate Snowflake deployments as code, so its strongest use case is integrating it into automated deployment scripts. By treating schema changes, grants, and other environment updates as versioned, codified steps, SnowCD enables repeatable, auditable deployments that fit neatly into CI/CD pipelines. It’s about applying changes in a controlled, automated way across environments, not about data ingestion, visualization, or scheduling tasks. Therefore loading data from Kafka isn’t a SnowCD function, visualizing query performance isn’t its purpose, and scheduling data replication falls outside its deployment-focused role.