Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Create an Integration Object to Connect Snowflake with

This video tutorial guides viewers through the process of setting up AWS resources for Snowflake integration. It covers creating an IAM role, setting up an S3 bucket, and creating a Snowflake integration object. The tutorial emphasizes best practices and provides step-by-step instructions for each task, ensuring Snowflake can access data stored in AWS S3.

What is the first step in integrating Snowflake with AWS?

• Create a Snowflake integration object

• Upload sample files

• Create an IAM role

• Create an S3 bucket

Which entity should be selected as trusted when creating an IAM role?

• AWS account

• Azure

• Local server

• Google Cloud

What is important to ensure when setting up an S3 bucket for Snowflake?

• It is named 'SnowflakeData'

• It is encrypted

• It has public access

• It is in the same region as the Snowflake account

What role is required to create a Snowflake integration object?

• Account admin

• Developer

• Custom role

• Sysadmin

What should be done after creating the Snowflake integration object?

• Create a new S3 bucket

• Change the Snowflake account region

• Delete the IAM role

• Switch to a non-account admin role for further tasks

What is the purpose of editing the trust policy in AWS?

• To authenticate Snowflake to access data from S3

• To allow public access to the S3 bucket

• To change the region of the S3 bucket

• To delete the existing IAM role

Which command is used to describe the integration object in Snowflake?

• SHOW INTEGRATION

• VIEW INTEGRATION

• DESCRIBE INTEGRATION

• LIST INTEGRATION