Are you looking for your test preparation of HCIA-AI Certification H13-311 Exam? Now there are HCIA-AI V3.0 and HCIA-AI V2.0 (Will retired on Oct.9) available to get this certification. PassQuestion provides you valid HCIA-AI Certification H13-311 Real Questions to help you best prepare for your test and pass your Huawei H13-311 exam successfully. We ensure you get your HCIA-AI Certification in your first attempt if you study well PassQuestion HCIA-AI H13-311 questions and answers.

Huawei HCIA-AI V3.0 Certification Exam Overview

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.

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.

View Online HCIA-AI Certification H13-311 Free Questions

1. Which of the following statement about the matrix is incorrect?
A. The arbitrary matrix is multiplied by the unit matrix and will not change.
B. The transpose of the symmetric matrix A is also A itself.
C. The transpose of the orthogonal matrix A is equal to the inverse of A.
D. There is no inverse matrix for the diagonal matrix.
Answer: D

2. Which is not a deep learning algorithm?
A. Self-encoder
B. Convolutional neural networks
C. Recurrent neural networks
D. Support vector machine
Answer: D

3. TensorFlow is Google's first generation of proprietary machine learning systems.
A. True
B. False
Answer: B

4. Which of the following schools does the neural network study belong to?
A. Symbolism
B. Connectionism
C. Behaviorism
D. None of the above
Answer: B

5. Reducing the gap between the training error and the test error will result in over-fitting. How to prevent over-fitting? (Multiple Choice)
A. Cross validation
B. Integration method
C. Increase regularization
D. Feature Engineering
Answer: ABCD

6. Which is wrong with the Python module time introduction method?
A. import time
B. from time import *
C. import time as t
D. from time
Answer: D