Master Azure Data Engineer

  Unleashing the Power of Snowpark in Snowflake: A Comprehensive Guide In the world of modern data engineering and analytics, Snowflake has emerged as a leader in cloud-based data warehousing. Known for its scalability, ease of use, and robust architecture, Snowflake has transformed the way organizations manage and analyze their data. A key feature that takes Snowflake’s capabilities even further is Snowpark . Snowpark enables developers, data engineers, and data scientists to write and execute complex data processing pipelines directly within the Snowflake environment. It allows for a seamless integration of advanced data manipulation capabilities with the scalability and performance of Snowflake’s platform. In this blog post, we’ll dive deep into Snowpark, how it works, and how you can leverage it to streamline your data workflows. What is Snowpark? Snowpark is a developer framework that allows you to write, execute, and manage data transformations inside Snowflake using pop...

Question 41: A data engineering manager uses a Databricks SQL query to monitor their team’s progress on fixes related to customer-reported bugs. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.   Options: - A. They can schedule the query to run every 1 day from the Jobs UI. - B. They can schedule the query to refresh every 1 day from the query’s page in Databricks SQL. - C. They can schedule the query to run every 12 hours from the Jobs UI. - D. They can schedule the query to refresh every 1 day from the SQL endpoint’s page in Databricks SQL. - E. They can schedule the query to refresh every 12 hours from the SQL endpoint’s page in Databricks SQL. Answer :   B. They can schedule the query to refresh every 1 day from the query’s page in Databricks SQL. Explanation:   In Databricks SQL, you can schedule queries directly from the query’s page to refresh at a set in...