Free Snowflake Architect Architectural Principles Questions and Answers

Question 1

What is the core principle behind Snowflake's decoupled storage and compute architecture?

Accepted Answer

To allow independent scaling of storage and compute resources

Answer

To store data in JSON format

Answer

To optimize on-premises hardware utilization

Answer

To ensure data is replicated across multiple regions

Question 2

Which Snowflake component is responsible for managing queries and ensuring concurrency?

Accepted Answer

Cloud Services Layer

Answer

Virtual Warehouses

Answer

Metadata Services

Answer

Storage Layer

Question 3

How does Snowflake's shared data architecture benefit users?

Accepted Answer

By enabling multiple users and workloads to access a single copy of the data

Answer

By requiring on-premises installations

Answer

By supporting only structured data formats

Answer

By limiting simultaneous query execution

Question 4

What is the purpose of Snowflake's micro-partitioning feature?

Accepted Answer

To store data in small, contiguous storage blocks for performance optimization

Answer

To segment data into logical databases

Answer

To replicate data across clouds

Answer

To encrypt data at rest

Question 5

Why is Snowflake considered a cloud-native platform?

Accepted Answer

It is built to leverage cloud resources like scalability, elasticity, and multi-cloud deployment

Answer

It can only be deployed on AWS

Answer

It uses proprietary hardware for better performance

Answer

It relies on Hadoop for big data processing