NetAppCertified AI Expert
Domain 4Objective 1
Describe Data Aggregation Topologies (warehouses, Data Lakes, Lakehouses) CERTIFIED-AI-EXPERT Practice Questions (Page 1)
Part of the AI Hardware Architectures domain, which accounts for 18% of the CERTIFIED-AI-EXPERT exam. NetApp does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–11 in this domain), expect 1–2 from this objective — we provide 15 practice questions to prepare you well beyond it. (estimate)
15questions here
3free pages
5concepts
18%of the exam
Questions 1–5
- 1
A retail company has a well-defined set of KPIs that are reported to executives every morning. The data comes from multiple operational databases and must be cleansed, transformed, and aggregated before reporting. The reporting queries are predictable and require sub-second response times. Which topology should the company use for this workload?
Select an answer first - 2
A research team at a pharmaceutical company collects petabytes of raw sensor data from lab equipment in various formats. Data scientists need to run ad-hoc exploratory analyses and train machine learning models on this data, but the data is not yet well understood. The team wants to avoid upfront schema design. Which topology best fits this need?
Select an answer first - 3
A company currently uses a data warehouse for all analytics. They want to introduce machine learning workloads that require access to raw, unstructured log files. The data engineering team is small and cannot maintain two separate platforms. The BI team still needs the warehouse's query performance for daily reports. Which topology should the company adopt?
Select an answer first - 4
A company has a well-established data warehouse that supports all their BI reporting. They now want to train ML models on the same data, but the ML team needs access to raw, unprocessed data that is not in the warehouse. The company has budget constraints and wants to avoid duplicating storage. Which approach should they take?
Select an answer first - 5
Which use case is most appropriate for a data warehouse in an AI environment?
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