NetAppCertified AI Expert
Domain 2Objective 4
Determine How NetApp Tools Can Enable Data Aggregating, Cleansing, and Modeling CERTIFIED-AI-EXPERT Practice Questions (Page 2)
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 6–10
- 6
Which NetApp feature allows you to create multiple writable copies of a training dataset without consuming additional storage space, enabling parallel model training experiments?
Select an answer first - 7
Which NetApp capability is most relevant to the data preparation phase of the AI lifecycle?
Select an answer first - 8
A healthcare research team is training a deep learning model on large medical imaging datasets. They need high-throughput access to the training data to reduce model training time. Which NetApp feature should they use to provide low-latency, high-bandwidth access to the data for multiple GPU servers?
Select an answer first - 9
A data science team has collected raw sensor data from thousands of IoT devices into a NetApp ONTAP storage system. Before training a model, they need to remove duplicate readings and ensure data integrity. Which NetApp feature should they use to reduce duplicate data and free up storage space?
Select an answer first - 10
A data science team is preparing a large dataset for training a model. The dataset has many duplicate records and some corrupted files. They need to clean the data and ensure integrity before training. They also need to maintain a version history of the data for reproducibility. Which combination of NetApp features should they use?
Select an answer first
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