A logistics company wants to use AI to optimize delivery routes. They have historical delivery data and want to build a model that predicts the fastest routes. The model will be used daily. Which AI workload is most relevant for the initial development?

Training the model on historical data

Which of the following is a key characteristic that distinguishes deep learning from traditional machine learning?

Deep learning can only be applied to tabular data.

Deep learning uses multi-layered neural networks to automatically learn hierarchical representations of data.

Deep learning does not require large amounts of data to perform well.

Deep learning requires manual feature extraction by domain experts.

A business analyst is reviewing a project proposal that mentions using 'machine learning' to predict sales. The analyst is confused about how this differs from 'artificial intelligence'. Which explanation is accurate?

Machine learning is a subset of artificial intelligence that enables systems to learn from data

Machine learning and artificial intelligence are interchangeable terms

Machine learning does not require data

Artificial intelligence is a subset of machine learning

NetAppCertified Technology Solutions Professional (NCTSP)

Domain 1Objective 4

AI Concepts CERTIFIED-TECHNOLOGY-SOLUTIONS-PROFESSIONAL Practice Questions (Page 6)

Part of the Infrastructure domain, which accounts for 25% of the CERTIFIED-TECHNOLOGY-SOLUTIONS-PROFESSIONAL exam.

34questions here

7free pages

9concepts

25%of the exam

Questions 26–30

26foundation · easy
Which technique is used to reduce the time spent reading data from storage during AI training by keeping frequently accessed data closer to the compute?
Select an answer first
27application · easy
A logistics company wants to use AI to optimize delivery routes. They have historical delivery data and want to build a model that predicts the fastest routes. The model will be used daily. Which AI workload is most relevant for the initial development?
Select an answer first
28foundation · easy
Which of the following is a key characteristic that distinguishes deep learning from traditional machine learning?
Select an answer first
29application · easy
A business analyst is reviewing a project proposal that mentions using 'machine learning' to predict sales. The analyst is confused about how this differs from 'artificial intelligence'. Which explanation is accurate?
Select an answer first
30foundation · easy
Which storage technology is best suited for providing low-latency, high-throughput access to training data for AI workloads?
Select an answer first

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AI Concepts CERTIFIED-TECHNOLOGY-SOLUTIONS-PROFESSIONAL Practice Questions (Page 6)

Questions 26–30

Which technique is used to reduce the time spent reading data from storage during AI training by keeping frequently accessed data closer to the compute?

A logistics company wants to use AI to optimize delivery routes. They have historical delivery data and want to build a model that predicts the fastest routes. The model will be used daily. Which AI workload is most relevant for the initial development?

Which of the following is a key characteristic that distinguishes deep learning from traditional machine learning?

A business analyst is reviewing a project proposal that mentions using 'machine learning' to predict sales. The analyst is confused about how this differs from 'artificial intelligence'. Which explanation is accurate?

Which storage technology is best suited for providing low-latency, high-throughput access to training data for AI workloads?

Keep studying — Infrastructure