A logistics company tracks delivery vehicles in real-time and wants to train a model to predict delays. The model must be updated with new data every 15 minutes, and the data arrives as a continuous stream. The company wants to use a simple pipeline that processes data in small batches. Which ingestion design best fits this requirement?

Real-time streaming with event-by-event processing

Micro-batch ingestion that collects data for 15 minutes and then processes it

Manual ingestion every 15 minutes

A company stores raw sensor data in an on-premises NAS and wants to use it for cloud-based model training. The data is several terabytes, and the training job will start as soon as the first chunk is available. The company wants to minimize the time to first training iteration while ensuring the full dataset eventually reaches the cloud. Which data movement strategy best meets these requirements?

Sync the dataset periodically using a scheduled sync job

Use a streaming transfer tool to send data as it is produced

Ship a physical drive with the data to the cloud provider

Perform a one-time bulk copy of the entire dataset overnight

Which data access method is characterized by a client mounting a shared file system over a network, allowing multiple compute nodes to read and write the same files concurrently?

Object storage access (e.g., S3)

Block storage access (e.g., iSCSI)

A company has a 10 TB dataset on-premises that must be moved to a cloud region for training. The company has a limited time window of 8 hours and a network bandwidth of 1 Gbps. The data is not time-sensitive, but the transfer must be completed within the window. The company also needs to ensure the data is encrypted during transfer. Which strategy is most appropriate?

Ship a physical drive to the cloud provider

Use a single-stream transfer to keep it simple

Use a parallel transfer tool with multiple connections to maximize throughput

Compress the data before transfer to reduce the size

NetAppCertified AI Expert

Domain 5Objective 3

Describe How to Access and Move Data for AI Workloads CERTIFIED-AI-EXPERT Practice Questions (Page 5)

Part of the AI Common Challenges domain, which accounts for 22% of the CERTIFIED-AI-EXPERT exam. NetApp does not publish an official question count, but from its 90-minute exam (~35–60 total, ~8–13 in this domain), expect 1–2 from this objective — we provide 33 practice questions to prepare you well beyond it. (estimate)

33questions here

7free pages

7concepts

22%of the exam

Questions 21–25

21application · medium
A logistics company tracks delivery vehicles in real-time and wants to train a model to predict delays. The model must be updated with new data every 15 minutes, and the data arrives as a continuous stream. The company wants to use a simple pipeline that processes data in small batches. Which ingestion design best fits this requirement?
Select an answer first
22foundation · easy
A data engineer needs to move a large historical dataset from an on-premises NAS to an object storage bucket in the cloud. Which strategy is most appropriate for this one-time, high-volume transfer?
Select an answer first
23application · medium
A company stores raw sensor data in an on-premises NAS and wants to use it for cloud-based model training. The data is several terabytes, and the training job will start as soon as the first chunk is available. The company wants to minimize the time to first training iteration while ensuring the full dataset eventually reaches the cloud. Which data movement strategy best meets these requirements?
Select an answer first
24foundation · easy
Which data access method is characterized by a client mounting a shared file system over a network, allowing multiple compute nodes to read and write the same files concurrently?
Select an answer first
25expert · hard
A company has a 10 TB dataset on-premises that must be moved to a cloud region for training. The company has a limited time window of 8 hours and a network bandwidth of 1 Gbps. The data is not time-sensitive, but the transfer must be completed within the window. The company also needs to ensure the data is encrypted during transfer. Which strategy is most appropriate?
Select an answer first

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Describe How to Access and Move Data for AI Workloads CERTIFIED-AI-EXPERT Practice Questions (Page 5)

Questions 21–25

A data engineer needs to move a large historical dataset from an on-premises NAS to an object storage bucket in the cloud. Which strategy is most appropriate for this one-time, high-volume transfer?

Which data access method is characterized by a client mounting a shared file system over a network, allowing multiple compute nodes to read and write the same files concurrently?

Keep studying — AI Common Challenges