[Nov-2021] H13-311-ENU Dumps Full Questions - Huawei-certification Exam Study Guide
Exam Questions and Answers for H13-311-ENU Study Guide
Understanding functional and technical aspects of Overview of TensorFlow, programming basics, and methods of using TensorFlow programming for image recognition, speech recognition, and human-machine dialogue
The following will be discussed in HUAWEI H13-311 dumps:
- Learning Algorithms
- Enhancer
- Perceptron and Training Rules
- Definition and Development of Neural Networks
- Normal Machine Learning Algorithms
- Boundary Estimation
- Bayes Estimation
- Propaedeutics of Deep Learning
- Enactment Functions
- Hyperparameter and Validation Set
- Outline of Deep Learning
- Regularization in Deep Learning
How to Prepare For Huawei Certified ICT Associate-Artificial Intelligence
Preparation Guide for Huawei Certified ICT Associate-Artificial Intelligence
Introduction for Huawei Certified ICT Associate-Artificial Intelligence
Passing the HCIA-AI V1.0 affirmation will demonstrate that you have dominated the AI advancement history, the Huawei Ascend AI framework, the full-stack all-situation AI strategyï¼Âand the calculations identified with customary AI and profound learning. You can fabricate, train, and convey neural organizations by utilizing advancement systems TensorFlow and MindSpore. You are capable for deals, advertising, item supervisor, project the executives, specialized help, and other AI positions. This test manages the forefront AI advances and improvement patterns. The science, Python, TensorFlow, and profound learning hypotheses and advancement rehearses needed by AI. The picture acknowledgment, discourse acknowledgment, and machine interpretation improvement measures.
The HCIA-AI V1.0 test covers: Overview of computerized reasoning, Python programming nuts and bolts, Essential arithmetic information and pre-information for Deep Learning, Overview of Deep Learning, Overview of TensorFlow, programming rudiments, and strategies for utilizing TensorFlow programming for picture acknowledgment, discourse acknowledgment, and human-machine exchange, Overview of Huawei cloud EI.
As a global leading ICT solution provider, Huawei advocates for an open, shared, ICT talent ecosystem that benefits all parties. In 2013, Huawei launched its ICT Academy, a school-enterprise cooperation project that involves higher education institutions, to help build that talent ecosystem. Over the past six years, Huawei has invested heavily in exploring practices with universities and colleges and replicating successful experiences. Huawei has built a talent supply chain covering the entire process of learning, certification, and employment â by deepening the cooperation mechanism between universities and enterprises, aiming to promote industry development, and innovate talent development models based on enterprise requirements. Huawei helps universities cultivate ICT talent that meets industry requirements, providing high-quality talent for industry development.
As digitalization accelerates in various industries, colleges and universities urgently need to reform traditional teaching content and focus more on cutting-edge technologies, ensure that courses keep up with the times, guarantee that teaching materials are related to industry practices, and help students become more employable. To meet these demands, Huawei works with college and university teachers to jointly develop courses based on HuaweiâÂÂs understanding of the industry, technical accumulation, and practices, industry position analysis, and Huawei-certified talent certification standard system, and builds a practical course system that adapts to industry talent requirement.
What is the duration, language, and format of Huawei Certified ICT Associate-Artificial Intelligence
- Length of Examination: 160 minutes
- Passing score: 80%
- Number of Questions: 55
- Format: Multiple choices, multiple answers
NEW QUESTION 91
Functions are well-organized, non-reusable code segments used to implement a single, or associated function.
- A. True
- B. False
Answer: B
NEW QUESTION 92
Which of the following options is not the session mode used by TensorFlow?
- A. Multiple POST queries
- B. Explicitly call the session to close function
- C. Explicitly call the session to generate function
- D. Through the Python context manager
Answer: A
NEW QUESTION 93
Which of the following does the convolutional neural network structure not include?
- A. Pooling layer
- B. Fully connected layer
- C. Loop layer
- D. Convolutional layer
Answer: C
NEW QUESTION 94
Linear algebra is a branch of algebra that deals with linear problems.
The linear relationship is that the relationship between exponential objects is expressed in ( ) times form?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION 95
Which is not a Python operator?
- A. Logical operator
- B. Comparison operator
- C. arithmetic operator
- D. Reasoning operator
Answer: D
NEW QUESTION 96
Which of the following files is the graph structure of TensorFlow saved in?
- A. .cpkt file
- B. index file
- C. .meta file
- D. checkpoint file
Answer: C
NEW QUESTION 97
Information theory is a branch of applied mathematics. The main research is to quantify how much information a signal contains. Who is the first to propose information theory?
- A. Minsky
- B. Shannon
- C. Simon
- D. Turing
Answer: B
NEW QUESTION 98
Huawei Machine Learning Service 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. Distributed and scalable big data computing engine.
- B. machine learning program is intuitive and easy to use.
- C. Support for the R language, but does not support the Python language.
- D. A rich library of machine learning algorithms.
Answer: C
NEW QUESTION 99
What are the commonly used gradient descent optimization functions? (Multiple Choice)
- A. Adagrad
- B. Adadelta
- C. RMSProp
- D. momentum
- E. Random gradient descent
Answer: A,B,C,D,E
NEW QUESTION 100
The continue statement in the Python language is used to jump out of this loop and then continue to execute the next round of statements.
- A. True
- B. False
Answer: A
NEW QUESTION 101
As shown below, which are the following matrix A characteristic value? (Multiple choice)
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B,D
NEW QUESTION 102
Convolutional neural networks are more suitable for dealing with speech recognition problems.
- A. True
- B. False
Answer: B
NEW QUESTION 103
Which of the following statements about overflow and underflow in numerical calculations is correct? (Multiple choice)
- A. Overflow occurs when the number close to zero is rounded to zero
- B. Underflow occurs when the number close to zero is rounded to zero
- C. Underflow occurs when a large number of levels are approximated as ∞ or - ∞
- D. Overflow occurs when a large number of levels are approximated as ∞ or - ∞
Answer: B,D
NEW QUESTION 104
Which of the following options is not a reason for traditional machine learning algorithms to promote the development of deep learning?
- A. Dimensional disaster
- B. Manifold learning
- C. Local invariance and smooth regularization
- D. Feature Engineering
Answer: D
NEW QUESTION 105
What are the regularizations in deep learning? (Multiple Choice)
- A. Integration method
- B. Dropout
- C. Data set enhancement
- D. L1 norm, L2 norm
Answer: A,B,C,D
NEW QUESTION 106
In Huawei Cloud EI Enterprise Intelligence, which basic platform services are included? (Multiple Choice)
- A. Graph engine
- B. Machine learning
- C. Deep learning
- D. Batch processing
Answer: A,B,C,D
NEW QUESTION 107
Which of the following features does Python support? (Multiple choice)
- A. Derived
- B. Heavy load
- C. Inheritance
- D. Multiple inheritance
Answer: A,B,C,D
NEW QUESTION 108
In a neural network, knowing the weight and deviations of each neuron is the most important step. If you know the exact weights and deviations of neurons in some way, you can approximate any function.
What is the best way to achieve this?
- A. The above is not correct
- B. Assign an initial value to iteratively update weight by checking the difference between the best value and the initial.
- C. Search for a combination of weight and deviation until the best value is obtained
- D. Random assignment, pray that they are correct
Answer: B
NEW QUESTION 109
Reducing the gap between the training error and the test error will result in over-fitting. How to prevent over-fitting? (Multiple Choice)
- A. Integration method
- B. Cross validation
- C. Increase regularization
- D. Feature Engineering
Answer: A,B,C,D
NEW QUESTION 110
......
HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence) Free Update With 100% Exam Passing Guarantee: https://www.actualvce.com/Huawei/H13-311-ENU-valid-vce-dumps.html