Snowflake Interview Questions and Answers

Last updated on Jan 04, 2023
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Snowflake Interview Questions

Snowflake is becoming the most popular cloud data warehouse solution because of its innovative features such as separation of computing and storage, data sharing, and data cleaning. It provides support for popular programming languages like Python, Java, Go, .Net, etc. Tech giants like Adobe systems, AWS, Informatica, Logitech, Looker are using the Snowflake platform to -intensive applications. Thus, there is always a demand for Snowflake professionals. If that is the career move you are making, and you are training or preparing for a Snowflake job interview, the below Snowflake interview questions and answers will help you prepare.

Most Frequently Asked Snowflake Interview Questions

Here in this article, we will be listing frequently asked Snowflake Interview Questions and Answers with the belief that they will be helpful for you to gain higher marks. Also, to let you know that this article has been written under the guidance of industry professionals and covered all the current competencies.

Q11. Explain data compression in Snowflake?

Data all that we enter into the Snowflake gets compacted systematically. Snowflake uses modern data compression algorithms for compressing and storing the data. Clients have to pay for the packed data, not the exact data.

Q12. Explain the database storage layer?

Whenever we load the data into the Snowflake, it contains the data into the compressed, columnar, and optimized format. It deals with storing the data that includes data compression, organization, statistics, file size, and other properties associated with the data storage. The Snowflake stores all data objects that are inaccessible and invisible. Using Snowflake's SQL query operation, we can access the data objects.

Q13. What is a Virtual warehouse?

Snowflake's Virtual warehouse is one or more clusters endorsing users to carry out operations like queries, data loading, and other DML operations. Virtual warehouses support the users with the necessary resources like temporary storage CPU for performing various snowflake operations.

Q14. Explain the various ways to access the Snowflake Cloud data warehouse?

There are several ways to access the Snowflake data warehouse:

  • ODBC Drivers
  • JDBC Drivers
  • Web User Interface
  • Python Libraries
  • SnowSQL Command-line Client
Q15. Which are the advantages of the Snowpipe?

The Snowpipe advantages are as follow:

  • Live insights
  • User-friendly
  • Cost-efficient
  • Resilience
Q16. What is a Columnar database?

Columnar databases differ from conventional databases. Columnar database saves the data in columns in place of rows, eases the method for analytical query processing, and offers more incredible performance for databases. Columnar database reduces analytics processes, and Columnar database is going to be the future of business intelligence.

Q17. Does Snowflake have coding?

When developing applications with Snowflake, programming may be required. JavaScript, Snowflake Scripting, and Scala are used in Stored Procedures to perform branching and looping.

Q18. Is Snowflake OLTP or OLAP?

Snowflake is designed for the Online Analytical Processing(OLAP) database system. Subject to the use, we can use it for OLTP(Online Transaction processing) also.

Q19. Do the Snowflake use Indexes?

No, Snowflake does not utilize the indexes. One of the things that makes the Snowflake scale suitable for querying so well is this aspect.

Q20. Where do we store data in Snowflake?

The Snowflake program creates metadata automatically for files in the external or internal stages. The metadata is stored in virtual columns, and the "SELECT" statement is used to query them.

Check out for advanced Snowflake Interview Questions to crack the interview easily.

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