Snowflake Certification Practice Test

Disable ads (and more) with a membership for a one time $2.99 payment

Prepare for the Snowflake Certification Test. Revise with questions and structured exercises, each complete with hints and explanations. Ace your exam!

Each practice test/flash card set has 50 randomly selected questions from a bank of over 500. You'll get a new set of questions each time!

Practice this question and more.

Can semi-structured data be queried using SQL with JSON path notation?

Yes
No
Only in specific databases
Only with additional tools

The correct answer is: Yes

Semi-structured data, such as JSON, can indeed be queried using SQL with JSON path notation in Snowflake. This capability allows users to take advantage of the SQL language's familiar syntax to extract information from structured as well as semi-structured data formats. In Snowflake, the use of JSON path notation is supported through functions like `GET`, `GET_PATH`, and others, which enable effective navigation through the hierarchical structure of JSON data. This means that users can easily filter and manipulate JSON data within their SQL queries, making it a powerful feature for data analytics. This seamless integration highlights Snowflake's flexibility in handling different data types while maintaining a SQL-based querying approach, which is valuable for users transitioning from traditional relational databases to more versatile data storage solutions.