FREE Snowflake Architect Performance and Workload Optimization Questions and Answers

Question 1

What is the primary purpose of Snowflake’s Automatic Clustering feature?

Accepted Answer

To automatically reorganize data for optimal performance

Answer

To manage user access to the database

Answer

To replicate data across multiple regions

Answer

To create backup copies of data

Question 2

Which feature allows Snowflake to automatically scale compute resources based on workload demands?

Accepted Answer

Multi-Cluster Warehouses

Answer

Virtual Warehouses

Answer

Secure Data Sharing

Answer

Materialized Views

Question 3

What is the primary benefit of using Materialized Views in Snowflake?

Accepted Answer

They pre-compute and store query results for faster execution.

Answer

They provide a real-time replication of data to external systems.

Answer

They automatically mask sensitive data.

Answer

They help organize users into access groups.

Question 4

Which query optimization technique is recommended for Snowflake when working with large datasets?

Accepted Answer

Leverage column pruning and filter predicates.

Answer

Use SELECT * to retrieve all columns.

Answer

Disable caching for all queries.

Answer

Use uncompressed storage formats.

Question 5

How does Query Caching improve performance in Snowflake?

Accepted Answer

By storing query results for reuse without re-execution

Answer

By storing frequently accessed data in a local data center

Answer

By increasing the size of virtual warehouses

Answer

By optimizing data storage on disk