Identify Storage Architectures Used with AI Workloads (C-Series, A-Series, EF-Series, StorageGRID) CERTIFIED-AI-EXPERT Practice Questions (Page 2)

Questions 6–8

1. 6expert · hard

   A company is building a hybrid AI pipeline: training on a GPU cluster with a parallel file system, and inference serving that requires low-latency database lookups. They also need to archive training datasets for long-term retention. They want to minimize the number of storage vendors. Which combination of architectures is most appropriate?

   • AC-Series for training, EF-Series for inference, StorageGRID for archive
   • BA-Series for training, C-Series for inference, StorageGRID for archive
   • CStorageGRID for training, EF-Series for inference, A-Series for archive
   • DEF-Series for training, A-Series for inference, C-Series for archive
   Reveal Solution Discussion Select an answer first
2. 7expert · hard

   A company has a legacy HPC workload that uses a parallel file system, and they are adding a new AI inference service that requires a low-latency database. They want to consolidate storage to reduce costs but cannot compromise performance. Which combination of architectures is most appropriate?

   • AA-Series for HPC and C-Series for inference
   • BStorageGRID for HPC and EF-Series for inference
   • CEF-Series for HPC and A-Series for inference
   • DC-Series for HPC and EF-Series for inference
   Reveal Solution Discussion Select an answer first
3. 8foundation · easy

   Which NetApp storage system is an all-flash NVMe array that provides high performance for a broad range of enterprise workloads, including AI?

   • AC-Series
   • BStorageGRID
   • CA-Series
   • DEF-Series
   Reveal Solution Discussion Select an answer first