AWS Certified Solutions Architect Associate (SAA-C02) Exam Prep Course - Athena

The video tutorial introduces AWS Athena, a service that allows running SQL queries on data stored in S3 without managing servers. It demonstrates setting up an S3 bucket and using AWS Glue for schema discovery. The tutorial covers executing queries in Athena, handling errors, and cleaning up resources. The focus is on understanding Athena's capabilities and integration with other AWS services.

What is one of the main advantages of using AWS Athena?

• It is a physical server-based service.

• It requires managing virtual machines.

• It only works with structured data.

• It allows running SQL queries on data in S3 without managing infrastructure.

What type of data can AWS Athena query?

• Only data stored in databases.

• Only structured data.

• Only unstructured data.

• Structured, unstructured, and semi-structured data.

What is the first step in setting up a demonstration for AWS Athena?

• Installing AWS CLI.

• Setting up a query result location in S3.

• Creating a virtual machine.

• Configuring IAM roles.

What is a necessary step before running queries in AWS Athena?

• Installing a local database.

• Creating a new AWS account.

• Setting up a query result location in S3.

• Configuring a VPN.

What is the purpose of AWS Glue in the context of AWS Athena?

• To provide a user interface for Athena.

• To automatically retrieve schema information for data in S3.

• To store data in a relational database.

• To manage virtual machines.

How does AWS Glue assist in managing data for Athena?

• By providing a physical server.

• By creating virtual machines.

• By automatically discovering and cataloging schema information.

• By encrypting all data.

What should you do if you encounter an error with the AWS Glue crawler?

• Check the path and correct it if necessary.

• Restart the entire AWS account.

• Ignore the error and proceed.

• Delete the S3 bucket.

What should be done if the AWS Glue crawler fails?

• Recreate the entire AWS account.

• Check and correct the S3 path.

• Delete all data in S3.

• Ignore the error.

Why is it important to clean up resources after using AWS services?

• To enhance the user interface.

• To improve data security.

• To increase the speed of the services.

• To avoid unnecessary charges.

What is a benefit of using AWS CloudFormation in cleanup?

• It automatically creates new resources.

• It provides a graphical user interface.

• It increases the speed of AWS services.

• It deletes all resources created by the stack.