Snowflake - Build and Architect Data Pipelines Using AWS - Lab – Set Up Kafka Snowflake Connector

This video tutorial guides users through setting up a Kafka server to work with Snowflake. It covers configuring Kafka topics and mapping them to Snowflake tables, setting buffer and flush parameters, and configuring Snowflake account details. The tutorial also explains how to set up Kafka standalone properties, including the plugin path for the Snowflake Kafka connector.

What is the first step in setting up Kafka to work with Snowflake?

• Copy the configuration file to the config folder

• Set up a new Snowflake account

• Create a new Kafka topic

• Install Snowflake on the local system

What does the topic-to-table map parameter define?

• The name of the Kafka server

• The size of data packets

• The frequency of data transfer

• The mapping of Kafka topics to Snowflake tables

Which parameter controls the frequency of data writing from Kafka to Snowflake?

• Buffer count

• Flush time

• Size in bytes

• All of the above

What should be done in a production environment regarding the Kafka user?

• Use the administrator account

• Share the user with other applications

• Create a separate user for Kafka

• Use the default user

What is the purpose of the internal stage created by Kafka?

• To store temporary data

• To manage user access

• To facilitate data transfer to Snowflake

• To backup Kafka configurations

What is the purpose of the plugin path in Kafka standalone properties?

• To specify the location of the Kafka server

• To define the path for the Snowflake Kafka connector jar file

• To set the default configuration directory

• To determine the data storage location

Why is it important to provide an absolute path for the libs directory?

• To avoid errors in locating the jar file

• To improve data transfer speed

• To enhance security measures

• To ensure compatibility with all operating systems