2024 Valid H13-311_V3.5 FREE EXAM DUMPS QUESTIONS & ANSWERS
Free H13-311_V3.5 Exam Braindumps Huawei Pratice Exam
Huawei H13-311_V3.5 (HCIA-AI V3.5) certification exam is an advanced-level certification exam that validates the skills and knowledge of candidates in the field of artificial intelligence. H13-311_V3.5 exam is designed to test the candidate's understanding of AI concepts, algorithms, and applications, as well as their ability to design and implement AI solutions using Huawei's AI technologies.
To be eligible for the Huawei H13-311_V3.5 (HCIA-AI V3.5) Exam, candidates should have a strong foundation in computer science, including programming languages such as Python, and should be familiar with the basics of machine learning algorithms. Additionally, candidates should have experience in designing and implementing AI solutions, and should be familiar with Huawei's AI technologies. Passing H13-311_V3.5 exam can help candidates advance their careers in the growing field of Artificial Intelligence, and can lead to opportunities for higher-paying jobs and increased professional recognition.
NEW QUESTION # 28
Which of the following environments does not support to install the T11nsorFlow?
- A. OpenStack
- B. Linux
- C. Docker
- D. Mac OS
Answer: A
NEW QUESTION # 29
What are the commonly used activation functions? (Multiple Choice)
- A. sigmoid
- B. relu
- C. tanh
- D. danish
Answer: A,B,C
NEW QUESTION # 30
AI chips, also called AI accelerators, optimize matrix multiplication.
- A. TRUE
- B. FALSE
Answer: A
Explanation:
AI chips, also known as AI accelerators, are specialized hardware designed to enhance the performance of AI workloads, particularly for tasks like matrix multiplication, which is heavily used in machine learning and deep learning algorithms. These chips optimize operations like matrix multiplications because they are computationally intensive and central to neural network computations (e.g., in forward and backward passes).
HCIA AI
Reference:
Cutting-edge AI Applications: Discussion of AI chips and accelerators, with a focus on their role in improving computation efficiency.
Deep Learning Overview: Explains how neural network operations like matrix multiplication are optimized in AI hardware.
NEW QUESTION # 31
In polynomial regression, there is a square term in the formula of the model, so it is not linear.
- A. FALSE
- B. TRUE
Answer: A
NEW QUESTION # 32
HUAWEI HiAI Empower APP What value?
- A. Safety
- B. real time
- C. at any time
- D. stable
Answer: A,B,C,D
NEW QUESTION # 33
TensorF1ow Which of the following companies first developed?
- A. Google
- B. Nvidia
- C. Facebook
- D. Oracle
Answer: A
NEW QUESTION # 34
As shown below, which are the following matrix A characteristic value? (Multiple choice)
- A. 0
- B. 1
- C. 2
- D. 4
Answer: B,D
NEW QUESTION # 35
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: A
NEW QUESTION # 36
TensorFlow It is one of the most popular deep learning frameworks.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 37
With Atlas300 (3000)Install the accelerator card in the server DDK (Device Development Kit) Only need to install when dependent on the environment Python3.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 38
Which of the following does not belong to automatic hyperparameter optimization algorithm?
- A. Random gradient descent
- B. Model-based hyper parameter optimization
- C. Random search
- D. Grid search
Answer: A
NEW QUESTION # 39
Which of the following algorithms presents the most chaotic landscape on the loss surface?
- A. MBGD
- B. BGD
- C. Stochastic gradient descent
- D. MGD
Answer: C
Explanation:
Stochastic Gradient Descent (SGD) presents the most chaotic landscape on the loss surface because it updates the model parameters for each individual training example, which can introduce a significant amount of noise into the optimization process. This leads to a less smooth and more chaotic path toward the global minimum compared to methods like batch gradient descent or mini-batch gradient descent, which provide more stable updates.
NEW QUESTION # 40
Deep learning neural network training requires a lot of matrix calculations. Generally, we need to use hardware to enable the computer to have parallel computing capabilities. The following hardware devices can provide parallel computing capabilities.:
- A. GPU
- B. CPU
- C. RAM
- D. Motherboard
Answer: A
NEW QUESTION # 41
The following about KNN Algorithm k The value description is correct?
- A. can k Value is set to 0
- B. K The larger the value, the easier the model is to overfit
- C. K The larger the value, the smoother the segmentation surface of the classification
- D. K Value is a hyperparameter
Answer: C,D
NEW QUESTION # 42
During application development, which of the following operations is not a typical network definition?
- A. Network execution
- B. Weight initialization
- C. Knowledge distillation
- D. Network definition
Answer: C
NEW QUESTION # 43
Which of the following is not MindSpore common Operation?
- A. nn
- B. math
- C. signal
- D. array
Answer: C
NEW QUESTION # 44
Which of the following is the computing model of TensorFlow?
- A. Conversation
- B. Tensor
- C. Calculation chart
- D. Variable
Answer: C
NEW QUESTION # 45
Traffic agent can achieve () Hour full time/Global traffic awareness?
- A. 7?4
- B. 5?2
- C. 5?4
- D. 7?2
Answer: A
NEW QUESTION # 46
With a lot of sales data but no labels, companies want to identify VIP Customer, the following model Suitable?
- A. Hierarchical clustering
- B. SVM
- C. K-Means
- D. Logistic regression
Answer: A,C
NEW QUESTION # 47
enter 32*32 Image with size 5*5 The step size of the convolution kernel is 1 Convolution calculation, output image Size is:
- A. 23*23
- B. 28*23
- C. 28*28
- D. 29*29
Answer: C
NEW QUESTION # 48
In the process of deep learning model training, what are the common optimizers?
- A. Momentum
- B. Adagrad
- C. SGD
- D. Adam
Answer: A,B,C,D
NEW QUESTION # 49
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Huawei H13-311_V3.5 certification exam is a valuable certification for IT professionals looking to advance their careers in the field of AI. HCIA-AI V3.5 certification is recognized globally and is highly regarded by employers in the IT industry. It demonstrates the candidate's proficiency in designing and implementing AI solutions using the Huawei framework, making them a valuable asset to any organization.
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