H13-311_v3.0 HCIA-AI V3.0 Certification Dumps

 

H13-311 HCIA-AI V3.0 exam is the latest version of HCIA-AI Certification,Passcert new released H13-311_v3.0 HCIA-AI V3.0 Certification Dumps which cover all the real questions and answers with latest knowledge content to help you get well prepared. With Passcert newest and most authoritative H13-311_v3.0 HCIA-AI V3.0 Certification Dumps, you will pass HCIA-AI certification H13-311_v3.0 exam very easily especially at your first attempt!

Huawei HCIA-AI V3.0 Certification Exam

Passing the HCIA-AI V3.0 certification will indicate that you: 1)have mastered the AI development history, the Huawei Ascend AI system, the full-stack all-scenario AI strategy，and the algorithms related to traditional machine learning and deep learning. 2) are able to build, train, and deploy neural networks by using development frameworks TensorFlow and MindSpore. 3) competent for sales, marketing, product manager, project management, technical support, and other AI positions.

HCIA-AI V3.0 Exam Knowledge Content

The HCIA-AI V3.0 exam covers: AI Overview, Machine Learning Overview, Deep Learning Overview, Mainstream Development Frameworks for AI, Huawei AI Development Framework MindSpore, Huawei AI Computing Platform Atlas, Huawei Open AI Platform for Smart Devices, HUAWEI CLOUD Enterprise Intelligence Application Platform, Comprehensive AI Experiment.

Check HCIA-AI V3.0 H13-311_v3.0 Sample Questions

1.Faced with the challenge of achieving efficient distributed training for ultra-large-scale models, MindSpore is handled as?

A. Automatic parallel

B. Serial

C. Manual parallel

Answer: A

2.Which of the following is not the difference between Python 2 and Python 3?

A. print

B. Unicode

C. import

D. xrange

Answer: C

3.Which of the following options is not central to linear algebra?

A. Probability theory

B. Linear transformation

C. Matrix theory

D. Vector space

Answer: A

4.The Python dictionary is widely identified by "{}". and the internal data consists of the key and its corresponding value

A. True

B. False

Answer: A

5.In the process of training the neural network, we use the gradient descent method to continuously update which value, which makes the loss Function minimization?

A. Number of samples

B. Eigenvalues

C. Hyperparameter

D. parameter 

Answer: D

6.Huawei Machine learning Service MLS MLS is a one-stop platform that supports the entire process of data analysis.

Which of the following is not a feature of MLS?

A. A rich library of machine learning algorithms.

B. machine learning program is intuitive and easy to use.

C. Distributed and scalable big data computing engine.

D. Support for the R language but does not support the Python language

Answer: D