Which AWS service is specifically designed for large-scale data processing?

The correct answer is AWS Glue, which is tailored for large-scale data processing tasks. AWS Glue is a fully managed extract, transform, and load (ETL) service that simplifies the preparation of data for analytics. It automates much of the tasks associated with data ingestion, cleaning, and transformation by providing a serverless environment where users can easily create ETL jobs.

AWS Glue is particularly well-suited for working with large data sets, as it can scale automatically to handle big data workflows. This means it can efficiently process vast amounts of data across various sources, making it an excellent choice for organizations that need to manage large-scale data processing and analytics.

Using AWS Glue, you can catalog your data, transform it, and make it ready for analysis, thus enabling seamless integration with other AWS analytics services such as Amazon Redshift and Amazon Athena. Additionally, AWS Glue allows for the creation of data pipelines, which can further automate and streamline the entire data processing workflow, making it a powerful tool for managing data at scale.