What is the primary purpose of a data aggregation topology in an AI environment?

To consolidate data from multiple sources into a unified repository for analysis and model training

To replace the need for data governance and security policies in an organization

To automatically generate machine learning models from raw data without human intervention

To provide real-time streaming data directly to end users without any storage

Which characteristic is common to all data aggregation topologies used in AI environments?

They store data exclusively in columnar format

They require a fixed, predefined schema before any data can be stored

They provide a centralized point for data storage and access

They are optimized for transactional processing (OLTP)

What is a defining structural characteristic of a data warehouse?

It applies a predefined schema to data before it is stored

It stores data in its raw, unprocessed form without any transformation

It is optimized for storing unstructured data like images and videos

It uses a schema-on-read approach where the schema is applied when data is queried

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Domain 4Objective 1

Describe Data Aggregation Topologies (warehouses, Data Lakes, Lakehouses) CERTIFIED-AI-EXPERT Practice Questions (Page 3)

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 11–15

11foundation · easy
What is the primary purpose of a data aggregation topology in an AI environment?
Select an answer first
12application · medium
A media company stores raw video files and clickstream logs in a data lake. They now want to run BI dashboards directly on this data without moving it to a separate warehouse. The dashboards require consistent schema enforcement and ACID transactions for updates. Which topology should they implement?
Select an answer first
13foundation · easy
Which characteristic is common to all data aggregation topologies used in AI environments?
Select an answer first
14foundation · easy
What is a defining structural characteristic of a data warehouse?
Select an answer first
15foundation · easy
Which topology is most suitable for AI workloads that require both raw data exploration and reliable, governed data for model training?
Select an answer first

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Describe Data Aggregation Topologies (warehouses, Data Lakes, Lakehouses) CERTIFIED-AI-EXPERT Practice Questions (Page 3)

Questions 11–15

What is the primary purpose of a data aggregation topology in an AI environment?

Which characteristic is common to all data aggregation topologies used in AI environments?

What is a defining structural characteristic of a data warehouse?

Which topology is most suitable for AI workloads that require both raw data exploration and reliable, governed data for model training?

Keep studying — AI Hardware Architectures