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Crucial Exams

CompTIA Data+ DA0-002 (V2) Practice Question

A data-analytics team runs nightly ETL jobs on an on-premises Linux server. Each run generates about 800 GB of intermediate tables that exist only for a few hours and are deleted when the workflow completes. Writing this scratch data to a network file share is saturating the 10 GbE link and doubling the job's runtime. To improve throughput and eliminate network latency-while accepting that the data is non-persistent and will be lost if the server fails-which storage type should the team choose for the staging workspace?

  • Local storage directly attached to the ETL server (for example, internal NVMe SSDs)

  • Shared file storage mounted over NFS so multiple hosts can access the workspace

  • Object storage in a regional cloud bucket accessed via HTTPS calls

  • Remote block storage volumes replicated across a storage-area network

CompTIA Data+ DA0-002 (V2)
Data Concepts and Environments
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