[2022] Valid H13-311_V3.0 test answers & Huawei H13-311_V3.0 exam pdf [Q83-Q103]

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[2022] Valid H13-311_V3.0 test answers & Huawei H13-311_V3.0 exam pdf

Verified H13-311_V3.0 dumps Q&As – Pass Guarantee or Full Refund

QUESTION 83
In TensorFlow, data is expressed in the form of tensors and computation graphs.

True

False

QUESTION 84
GBDT Compared with the random forest algorithm, which of the following statements is wrong?

GBDT Algorithm is easier to underfit than random forest

Random forest is calculated in parallel, while GBDT Can’t

GBDT Algorithm is easier to overfit than random forest

GBDT And random forest are built on CART Based on the tree

QUESTION 85
TensorFlow2.0 The mechanism of graphs and conversations has been cancelled in.

TRUE

FALSE

QUESTION 86
HUAWEI CLOUD EI builds an enterprise intelligent business based on the three-tier service, which of the following options does not belong to the three-tier service.

basic platform services

general domain services

industry domain services

integration services

QUESTION 87
The loss function of logistic regression is the cross-entropy loss function.

TRUE

FALSE

QUESTION 88
Which of the following statements about supervised learning is correct?

Decision tree is a supervised learning

Supervised learning cannot use cross-validation for training

Supervised learning is a rule-based algorithm

Supervised learning can be trained without labels

QUESTION 89
The following options do not belong to the scope of Huawei’s full-stack solution are?

Application enable

Edge computing

Open source framework

Chip enable

QUESTION 90
Convolutional neural networks are more suitable for image recognition problems than cyclic neural networks.

True

False

QUESTION 91
What research areas does artificial intelligence have? (Multiple choice)

Natural language processing

Computer Vision

Machine learning

Speech recognition

QUESTION 92
Python language can use “#” at the beginning of a single line of code for code comments.

True

False

QUESTION 93
When dealing with actual problems, when should machine learning be used in the following situations?

The data distribution itself changes over time, requiring continuous re-adaptation of the program, such as predicting the trend of merchandise sales

The complexity of the rules is low, and the problem is small

Task rules will change over time, such as defect detection on the production line

The rules are very complicated or cannot be described, such as face recognition and voice recognition

QUESTION 94
Which of the following is true about unsupervised learning?

Unsupervised algorithm only processes “features” and does not process *tags*

Dimensionality reduction algorithm is not unsupervised learning

K-means algorithm and SVM algorithm belong lo unsupervised learning

None of the above

QUESTION 95
Numerical calculation refers to the method and process of effectively using the digital computer to solve the approximate problem of mathematical problems, and the discipline consisting of related theories.
Which of the following processes are involved in solving actual problems with a computer? (Multiple Choice)

Know the actual problem

Mathematical model

Numerical calculation method

Programm1ng

Computer calculation results

QUESTION 96
According to the American Society of Automotive Engineers (SAE) The automatic driving is divided into Which level?

L1~L4

L1~L5

L0~L4

L0~L5

QUESTION 97
Functions are well-organized, non-reusable code segments used to implement a single, or associated Function.

True

False

QUESTION 98
What are the core concepts in TensorFlow? (Multiple Choice)

Gridding

Calculation Chart

Dot Product

Tensor

QUESTION 99
The word recognition in the speech recognition service refers to the synchronous recognition of short speech. Upload the entire audio at once, and the recognition result will be returned in the response.

TRUE

FALSE

QUESTION 100
What is wrong about expectations and variances in the following options?

expect to reflect the average level of random variable values

Variance reflects the high degree of random variable and its mathematical expectation

Expectation and variance are both numerical characteristics of random variable

the greater the expectation, the smaller the variance

QUESTION 101
What is the following description about the positive definiteness of matrices?

a matrix whose all eigenvalues are positive is called positive definite

the matrix with all eigenvalues being non-negative is called semi-positive definite

the matrix with all eigenvalues being negative is called negative definite

and the matrix with all eigenvalues being non-positive is called semi-negative definite

QUESTION 102
In neural networks, weights are often shareD. Which of the following neural networks will share weights?

sensor

Convolutional Neural Network

Fully connected neural network

Recurrent neural network

QUESTION 103
What are the Python language data types? (Multiple Choice)

numbers

string

list

tuple

dictionary

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Huawei H13-311_V3.0 Exam Syllabus Topics:

Topic	Details
Topic 1	Huawei Open AI Platform for Smart Devices Basic Steps of Deep Learning Development
Topic 2	Developing Apps Based on Huawei HiAI Platform Technical Fields and Application Fields of AI
Topic 3	Mainstream Development Frameworks for AI Huawei’s AI Development Strategy Industry Applications of Atlas
Topic 4	Huawei Atlas AI Computing Platform Machine Learning Overview Future Prospects of AI
Topic 5	Mainstream Development Framework and Deep Learning Experiment Common Machine Learning Algorithms
Topic 6	Machine Learning Experiment Mainstream Development Frameworks Huawei AI Computing Platform Atlas
Topic 7	Software Architecture of Ascend Chips Common Modules of TensorFlow 2.x

H13-311_V3.0 Exam Questions – Valid H13-311_V3.0 Dumps Pdf: https://www.dumpleader.com/H13-311_V3.0_exam.html

Huawei H13-311_V3.0 Exam Syllabus Topics:

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