Describe the Uses of BlueXP Software Tools to Build AI Solutions CERTIFIED-AI-EXPERT Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   Which BlueXP feature helps ensure that only authorized users and applications can access AI datasets?

   • ASnapshotting
   • BCaching
   • CAccess controls
   • DData tiering
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A media company uses BlueXP to manage storage for AI-based video analysis. They have a large dataset of video files that are accessed frequently during model training but rarely after the model is deployed. The company wants to reduce storage costs without sacrificing performance during training. Which BlueXP strategy should they implement?

   • AKeep all videos on the highest-performance tier permanently.
   • BDelete all videos after training to eliminate storage costs.
   • CReplicate all videos to multiple regions for high availability.
   • DUse automated tiering to move infrequently accessed videos to lower-cost storage after training.
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A healthcare AI team stores large volumes of medical imaging data on an on-premises NetApp cluster. They are building a new deep-learning model that requires rapid access to a subset of the most recent scans for training, while older scans are rarely accessed. The team wants to use BlueXP to manage this data efficiently across their hybrid environment. Which BlueXP capability should they use to balance performance and cost?

   • AConfigure automated tiering to move cold data to object storage while keeping hot data on high-performance tiers.
   • BSet up a replication relationship to copy all data to a second on-premises cluster for high availability.
   • CEnable caching on the client workstations to store frequently accessed scans locally.
   • DUse BlueXP to manually move older scans to a slower tier once per quarter.
   Reveal Solution Discussion Select an answer first
5. 4application · medium

   A data engineering team is building an AI pipeline that ingests data from multiple sources, cleans it, and stores it in a NetApp volume for model training. They want to use BlueXP to automate the data preparation steps and integrate with their existing orchestration tool. Which BlueXP capability should they leverage?

   • ABlueXP APIs and SDKs to programmatically manage storage and data workflows.
   • BBlueXP cost optimizer to reduce pipeline storage costs.
   • CBlueXP backup to create recovery points for the pipeline.
   • DBlueXP compliance to scan data for PII before training.
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A research lab runs AI training jobs on a cloud compute cluster but stores the primary dataset on-premises. The dataset is large, and copying it to the cloud for each training run is time-consuming and expensive. The lab wants to use BlueXP to provide fast access to the data for cloud compute without moving the entire dataset. Which BlueXP feature should they use?

   • ABlueXP compliance to ensure the dataset meets regulatory standards.
   • BBlueXP tiering to move the entire dataset to the cloud permanently.
   • CBlueXP Backup to copy the dataset to the cloud for disaster recovery.
   • DBlueXP Cloud Cache to create a cache in the cloud that pulls data on demand.
   Reveal Solution Discussion Select an answer first