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A company has 5 TB of datasets.

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A company has 5 TB of datasets. The datasets consist of 1 million user profiles and 10 million connections. The user profiles have connections as many-to-many relationships. The company needs a performance-efficient way to find mutual connections up to five levels.

Which solution will meet these requirements?

A.

Use an Amazon S3 bucket to store the datasets. Use Amazon Athena to perform SQL JOIN queries to find connections.

B.

Use Amazon Neptune to store the datasets with edges and vertices. Query the data to find connections.

C.

Use an Amazon S3 bucket to store the datasets. Use Amazon QuickSight to visualize connections.

D.

Use Amazon RDS to store the datasets with multiple tables. Perform SQL JOIN queries to find connections.

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