AWS Certified Cloud Practitioner (CLF-C01)- Amazon Athena

The video tutorial provides an overview of AWS analytic tools, focusing on Amazon Athena. It explains Athena's serverless nature, its ability to run SQL queries on data stored in Amazon S3, and its integration with AWS Glue. The tutorial includes a practical demonstration of creating a database and table in Athena, running queries, and analyzing data. The video concludes with a preview of the next topic, Amazon Kinesis.

Which AWS service is described as an interactive query service that uses standard SQL?

• Amazon QuickSight

• Amazon Kinesis

• Amazon Athena

• Amazon Elasticsearch

What is a key benefit of Amazon Athena's serverless architecture?

• No need to manage infrastructure

• Charges a flat monthly fee

• Requires complex infrastructure setup

• Limited to small datasets

How can you reduce query costs in Amazon Athena?

• By compressing and partitioning data

• By using larger datasets

• By using a dedicated server

• By running queries during off-peak hours

Which data formats are supported by Amazon Athena?

• MP3, WAV, FLAC, AAC

• CSV, JSON, ORC, Avro, Parquet

• PDF, PNG, JPEG, GIF

• XML, HTML, TXT, DOCX

What role does AWS Glue play in conjunction with Amazon Athena?

• Provides a dedicated server for queries

• Offers a graphical user interface for SQL

• Limits data storage to CSV format

• Creates a unified metadata repository

What is the first step in using Amazon Athena on the AWS Management Console?

• Upload data to S3

• Create a database

• Run a query

• Define a schema

In the practical demonstration, what type of data is used for the sample query?

• CloudFront logs

• Social media posts

• Financial transactions

• Weather data