AWS Technical Essentials Practice

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Study for the AWS Technical Essentials Exam. Review key AWS services through flashcards and multiple choice quizzes. Prepare for your exam with detailed hints and thorough explanations. Elevate your AWS skills today!

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Why is retrieval time for stored data in Amazon Glacier longer when compared to other options in AWS?

Amazon Glacier has low memory
Amazon Glacier is used to store archived data
Amazon Glacier is used to store large amounts of data
Amazon Glacier is used to store selective data

The correct answer is: Amazon Glacier is used to store archived data

Amazon Glacier is specifically designed for long-term archival storage of data that is not frequently accessed. This archiving purpose inherently leads to longer retrieval times compared to other AWS storage options, such as Amazon S3, which is optimized for immediate access and frequent use. When data is stored in Amazon Glacier, it is typically moved to a lower-cost storage solution where the focus is not on speed but on cost efficiency for data that is expected to be retrieved infrequently. The retrieval process involves an additional step, as the data must be restored from its archival state before it can be accessed. This is in direct contrast to other storage types that prioritize quick access and low-latency responses. The other options—namely low memory, storage of large amounts of data, or selective data storage—do not directly address the key functionality and design of Glacier, which is fundamentally about long-term retention of archived data that does not require immediate availability. That’s why retrieval time is inherently longer for stored data in Amazon Glacier.