NetAppCertified AI Expert
Domain 2Objective 4
Determine How NetApp Tools Can Enable Data Aggregating, Cleansing, and Modeling CERTIFIED-AI-EXPERT Practice Questions (Page 3)
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 11–15
- 11
A manufacturing company is preparing data for a predictive maintenance model. They have historical sensor data stored on NetApp storage, and they need to ensure the data is clean and free of duplicates before training. They also want to maintain a history of data versions for audit purposes. Which combination of NetApp features should they use?
Select an answer first - 12
A data engineer needs to aggregate data from multiple on-premises and cloud sources into a single NetApp storage location for an AI project. Which NetApp feature is specifically designed to copy data from multiple sources into a unified storage target?
Select an answer first - 13
A multinational bank has customer data in on-premises NetApp ONTAP systems, in AWS S3, and in Azure Blob Storage. They need to aggregate this data into a single dataset for a credit risk model. The bank has strict data residency requirements, so data must not leave the country. They also need to automate the aggregation process. Which NetApp solution should they use?
Select an answer first - 14
A financial services company is building an AI model to detect fraudulent transactions. They have data from multiple sources, including transaction logs, customer profiles, and external blacklists. They need to aggregate this data, clean it, and make it available for model training. Which NetApp tool should they use to orchestrate the data preparation phase?
Select an answer first - 15
A data engineering team is cleansing a large dataset stored on NetApp ONTAP. They need to ensure that the data is consistent and free of corruption before feeding it to the model. Which NetApp feature provides checksums and integrity validation for data at rest?
Select an answer first
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