
NetAppCertified AI Expert
Domain 2Objective 4
Determine How NetApp Tools Can Enable Data Aggregating, Cleansing, and Modeling CERTIFIED-AI-EXPERT Practice Questions (Page 4)
Part of the AI Lifecycle domain, which accounts for 27% of the CERTIFIED-AI-EXPERT exam. NetApp does not publish an official question count, but from its 90-minute exam (~35–60 total, ~9–16 in this domain), expect 1–2 from this objective — we provide 20 practice questions to prepare you well beyond it. (estimate)
20questions here
4free pages
4concepts
27%of the exam
Questions 16–20
- 16
A global e-commerce company has customer data spread across multiple regional NetApp ONTAP clusters. They want to aggregate this data into a single dataset for training a customer churn model. Which NetApp tool can replicate data from multiple ONTAP clusters to a central location?
Select an answer first - 17
Which NetApp storage protocol is commonly used to provide high-throughput, low-latency access to model training datasets for AI workloads?
Select an answer first - 18
A company is building an AI model for predictive maintenance. They have data from sensors, maintenance logs, and weather data. They need to aggregate, clean, and store the data for training. They also need to ensure that the data is available for model retraining on a regular basis. Which NetApp tool should they use to automate the data preparation pipeline?
Select an answer first - 19
Which NetApp tool is used to create a unified namespace that aggregates multiple file servers and provides a single mount point for AI applications?
Select an answer first - 20
A data scientist wants to remove duplicate copies of data in a NetApp storage system to reduce storage consumption before training a model. Which NetApp feature is designed to eliminate redundant data at the block level?
Select an answer first
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