AWS Glue

What is AWS Glue?

• A serverless data integration service

• A machine learning platform

• A cloud storage service

• A data visualization tool

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AWS

What are the major categories of AWS Glue features?

• Data discovery, data transformation, and data monitoring

• Data storage, data processing, and data visualization

• Data integration, data analysis, and data security

• Data organization, data preparation, and data pipeline

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AWS

What is the purpose of AWS Glue Studio?

• To create, run, and monitor data integration jobs

• To manage schemas and permissions

• To connect to a wide variety of data sources

• To visually transform data with a drag-and-drop interface

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AWS

How does AWS Glue help in data preparation?

• By providing a drag-and-drop job editor

• By automatically inferring schema information

• By enabling continuous data consumption

• By deduplicating and cleansing data with machine learning

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AWS

What is the benefit of using AWS Glue interactive sessions?

• To interactively explore and prepare data

• To define, detect, and remediate sensitive data

• To automate jobs with event-based triggers

• To define workflows for ETL and integration activities

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AWS

How does AWS Glue scale resources based on workload?

• By assigning workers to jobs only when needed

• By automating jobs with event-based triggers

• By running and monitoring jobs with automated tools

• By defining workflows for ETL and integration activities

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AWS

What is the purpose of AWS Lake Formation?

• To provide fine-grained access control to resources in the AWS Glue Data Catalog

• To clean and normalize data without writing any code

• To store, index, and search across multiple data sources

• To define, identify, and process sensitive data in the data pipeline

What is the purpose of AWS Glue Data Brew?

• To provide fine-grained access control to resources in the AWS Glue Data Catalog

• To clean and normalize data without writing any code

• To store, index, and search across multiple data sources

• To define, identify, and process sensitive data in the data pipeline

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AWS

What is the benefit of using AWS Glue for data integration?

• Integration with AWS analytics services and Amazon S3 data lakes

• Integration with AWS Glue connections for building data lakes

• Integration with AWS Glue Studio for creating and managing jobs

• Integration with AWS Glue API for complete control and customization

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AWS

What is the pricing model for AWS Glue?

• Pay-as-you-go billing

• Fixed monthly subscription

• Free for all AWS users

• Pricing based on data storage

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AWS