Top Snowflake Interview Questions One Should Know

 Snowflake is a cloud-based data warehousing platform that disrupted the data warehouse industry with its modern features and cost-effectiveness. It has gained huge momentum in the cloud data warehouse industry because of its out-of-box features like separation of storage and computing, scalable computation, data cloning, data sharing, easy integration with third-party tools, and much more.

Snowflake is one of the widely deployed data warehouse platforms by all types of organizations to fulfil their modern data warehouse requirements. As corporations around the globe are moving into a Snowflake, the demand for snowflake professionals is also spiking day by day.

Have you come here for the frequently asked Snowflake interview questions and answers? Well, then you are at the right place! We have gathered a list of top Snowflake database interview questions from industry experts. Mastering these questions would surely help you with the right knowledge to crack any Snowflake interview. All the very best.

Frequently Asked Snowflake Interview Questions and Answers in 2021

1)What is Snowflake?

Snowflake is a cloud data warehouse provided as a software-as-a-service (SaaS). It consists of unique architecture to handle multiple aspects of data and analytics. Snowflake sets itself apart from all other traditional data warehouse solutions with advanced capabilities like improved performance, simplicity, high concurrency and cost-effectiveness.

Snowflake’s shared data architecture physically separates the computation and storage which is not possible by the traditional offerings. It streamlines the process for businesses to store and analyze massive volumes of data using cloud-based tools. Snowflake has transformed the data warehouse industry by making it possible to bring all data together into a centralized system.

2) What is unique about Snowflake Architecture?

Snowflake has come up with an advanced and unique architecture that is a combination of shared-disk and shared-nothing architectures. It uses a central data repository to store data consistently and makes it available to access from all compute nodes in the platform. Similar to shared-nothing architecture, Snowflake also executes queries by using MPP (massively parallel processing) compute clusters where every node in the cluster stores a certain amount of the whole data set locally.

This architecture simplifies data management with shared-disk architecture and adds performance and scalability advantages with shared-nothing architecture. Snowflake unique architecture consists of three layers which are database storage, Query processing, and Cloud services.

If you wish to learn real-time Snowflake skills and get into your dream job with great placement assistance, then check out our expert’s designed Snowflake Training.

3) Explain the Database storage layer in Snowflake?

Whenever the data gets loaded into Snowflake it arranges the data into optimized, compressed and columnar format. After this process, the data gets optimized and then stored in cloud storage.

Snowflake looks after how the data gets stored which include data organization, compression, structure, file size, statistics, metadata, and many other aspects related to data storage. All the data objects stored in Snowflake are invisible and inaccessible. One can only access the data objects by running SQL query operations using Snowflake.

4) What is the Query Processing layer in Snowflake architecture?

All the query executions are performed in this processing layer. Snowflake uses “virtual warehouses to process queries. Each virtual warehouse is an MPP (massively parallel processing) compute cluster which consists of multiple nodes allotted by snowflake from a cloud provider.

Each virtual warehouse in the query processing layer is independent and does not share its computational resources with any other virtual warehouses. This makes each virtual warehouse independent and shows no impact on the other virtual warehouses in case of any failover.

5) What is the Cloud Services layer in Snowflake architecture?

The Cloud Services layer consists of a set of services that coordinates multiple tasks across the Snowflake platform. All these services tie together and work with great co-ordination to process user requests, from login to query dispatch. This layer also executes compute instances assigned by Snowflake from the cloud manager.

Following are the various services managed under this layer:

  • Authentication
  • Metadata management
  • Infrastructure management
  • Access control
  • Optimization and query parsing

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