Describe How the NetApp DataOps Toolkit Works CERTIFIED-AI-EXPERT Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A DevOps team wants to automate dataset provisioning for CI/CD pipelines using the NetApp DataOps toolkit. They need a programmatic interface that can be called from scripts and orchestration tools. Which component should they use?

   • ANetApp BlueXP console
   • BDataOps API
   • CDataOps SDK only
   • DNetApp ONTAP CLI
   Reveal Solution Discussion Select an answer first
2. 2expert · hard

   A company uses the NetApp DataOps toolkit to manage datasets for a distributed training system. They need to ensure that all training nodes have consistent access to the same dataset version, while also allowing data scientists to create new dataset versions without disrupting ongoing training. Which approach best meets these requirements?

   • ACopy the dataset to each node's local storage
   • BUse the DataOps API to delete and recreate the dataset for each run
   • CCreate a clone for each training run and use snapshots for versioning
   • DUse a single shared dataset that is updated in place
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   In an AI data management workflow, the NetApp DataOps toolkit is best described as:

   • AA set of tools that enable programmatic management of datasets and data pipelines on NetApp storage
   • BA data visualization platform for exploring training data
   • CA monitoring solution for tracking model performance in production
   • DA backup solution that replicates data to the cloud
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5. 4application · medium

   An AI operations team uses the NetApp DataOps toolkit to manage data for multiple concurrent model training jobs. They need to ensure that each job gets a consistent dataset version and that data operations are triggered automatically when a job starts. Which toolkit feature best supports this requirement?

   • AManual snapshot creation before each job
   • BUsing the DataOps SDK only for dataset creation
   • CRelying on the storage system's built-in replication
   • DDataOps API with event-driven triggers
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A team is installing the NetApp DataOps toolkit in a hybrid cloud environment. They plan to use the DataOps API and SDK to manage datasets across on-premises and cloud storage. What should they verify during configuration?

   • AThat the SDK is installed on all client machines
   • BNetwork connectivity between the toolkit and all storage backends
   • CThat all datasets are stored in the cloud
   • DThat the DataOps API is only accessible from the cloud
   Reveal Solution Discussion Select an answer first