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Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam is an excellent opportunity for professionals to enhance their skills and knowledge in the field of AI. HCIA-AI V3.5 certification is highly valued by employers and opens up a wide range of job opportunities in the AI industry. With the growing demand for AI professionals, obtaining this certification will give individuals a competitive edge in the job market and increase their earning potential.
NEW QUESTION # 27
What are the commonly used loss functions? (Multiple choice)
- A. Sigmoid cross entropy
- B. Sparse cross entropy
- C. Mean variance
- D. Soft max cross enl10py
- E. Weighted S1gmo1d Cross Entropy
Answer: A,B,C,D,E
NEW QUESTION # 28
As the cornerstone of Huawei's full-stack, all-scenario AI solution, it provides modules, boards, and servers powered by the Ascend AI processor to meet customer demand for computing power in all scenarios.
- A. Atlas
- B. MindSpore
- C. CANN
- D. ModelArts
Answer: A
Explanation:
Atlas is a key part of Huawei's full-stack, all-scenario AI solution. It provides AI hardware resources in the form of modules, boards, edge stations, and servers powered by Huawei's Ascend AI processors. The Atlas series is designed to meet customer demands for AI computing power in a variety of deployment scenarios, including cloud, edge, and device environments.
Huawei's full-stack AI solution aims to deliver comprehensive AI capabilities across different levels. The Atlas series supports a wide range of industries by offering scalable AI computing resources, which are critical for industries dealing with large volumes of data and needing high-performance computing.
NEW QUESTION # 29
Which of the following can optimization problem be classified according to the constraints?
(Multiple choice)
- A. equality constraints
- B. Inequality constraints
- C. Semi-constraint conditions
- D. Unconstrained conditions
Answer: A,B,D
NEW QUESTION # 30
The Python dictionary is widely identified by "{}". and the internal data consists of the key and its corresponding value
- A. False
- B. True
Answer: B
NEW QUESTION # 31
Which of the following algorithms presents the most chaotic landscape on the loss surface?
- A. MBGD
- B. BGD
- C. MGD
- D. Stochastic gradient descent
Answer: D
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 # 32
Nesterov is a variant of the momentum optimizer.
- A. TRUE
- B. FALSE
Answer: A
Explanation:
Nesterov Accelerated Gradient (NAG) is indeed a variant of the momentum optimizer. In the traditional momentum method, the gradient is used to adjust the direction based on the current momentum. Nesterov, on the other hand, anticipates the change in the momentum by calculating the gradient at a slightly altered position. This small adjustment leads to better convergence and more efficient optimization, especially in non-convex problems.
Momentum methods and their variants like Nesterov are commonly discussed in the optimization strategies for neural networks, including frameworks such as TensorFlow, which is covered in Huawei's HCIA AI courses.
HCIA AI
Reference:
Deep Learning Overview: Discussion of optimization algorithms, including gradient descent variants like Momentum and Nesterov.
AI Development Framework: Explains the use of Nesterov in deep learning frameworks such as TensorFlow and PyTorch.
NEW QUESTION # 33
Which of the following is not the difference between Python 2 and Python 3?
- A. xrange
- B. print
- C. Unicode
- D. import
Answer: D
NEW QUESTION # 34
Which of the following are use cases of generative adversarial networks?
- A. Photo repair
- B. Generating a 3D model from a 2D image
- C. Generating images from text
- D. Generating face images
Answer: A,B,C,D
Explanation:
Generative Adversarial Networks (GANs) are widely used in several creative and image generation tasks, including:
A . Photo repair: GANs can be used to restore missing or damaged parts of images.
B . Generating face images: GANs are known for their ability to generate realistic face images.
C . Generating a 3D model from a 2D image: GANs can be used in applications where 2D images are converted into 3D models.
D . Generating images from text: GANs can also generate images based on text descriptions, as seen in tasks like text-to-image synthesis.
All of the provided options are valid use cases of GANs.
HCIA AI
Reference:
Deep Learning Overview: Discusses the architecture and use cases of GANs, including applications in image generation and creative content.
AI Development Framework: Covers the role of GANs in various generative tasks across industries.
NEW QUESTION # 35
An e-commerce company has always had problems with official website stalls, poor utilization of network resources, and difficulty in operation and maintenance. Then which of the following can the company use EI service?
- A. Traffic Agent
- B. Network agent
- C. Industrial Agent
- D. Park Agent
Answer: B
NEW QUESTION # 36
The meaning of artificial intelligence was first proposed by a scientist in 1950, and at the same time a test model of machine intelligence was proposed Who is this scientist?
- A. Minsky
- B. Turing
- C. Von Neumann
- D. Zade
Answer: B
NEW QUESTION # 37
Fill in blanks
The general process of building a project using machine learning involves the following steps: split data, _________________ the model, deploy the model the model, and fine-tune the model.
Answer:
Explanation:
train
NEW QUESTION # 38
Which of the following is not MindSpore Features of the core architecture?
- A. Automatic differentiation
- B. Automatic tuning
- C. Automatic parallel
- D. Automatic coding
Answer: D
NEW QUESTION # 39
Which descriptions are correct about python's index? (Multiple Choice)
- A. Index from right lo left defaults from -1
- B. Index from left to right defaults from 1
- C. Index from right to left defaults from 0
- D. Index from left to right defaults from 0
Answer: A,D
NEW QUESTION # 40
Among the machine learning algorithms, the following is not an integrated learning strategy?
- A. Marking
- B. Bagging
- C. Boosting
- D. Stacking
Answer: A
NEW QUESTION # 41
In the environment preparation for invoking HUAWEI CLOUD services, which of the following does not require confirmation of installation?
- A. websocket-client
- B. requests
- C. setuptools
- D. Jieba
Answer: D
NEW QUESTION # 42
Which of the following items are included in the results returned when the face search service is successfully called?
- A. Searched face similarity
- B. Searched faces id
- C. Searched face number
- D. Searched face position
Answer: A,B,D
NEW QUESTION # 43
In machine learning, which of the following inputs is required for model training and prediction?
- A. Training algorithm
- B. Manual program
- C. Historical data
- D. Neural network
Answer: C
Explanation:
In machine learning, historical data is crucial for model training and prediction. The model learns from this data, identifying patterns and relationships between features and target variables. While the training algorithm is necessary for defining how the model learns, the input required for the model is historical data, as it serves as the foundation for training the model to make future predictions.
Neural networks and training algorithms are parts of the model development process, but they are not the actual input for model training.
NEW QUESTION # 44
In the gradient descent algorithm, which of the following algorithms is the most confusing algorithm for the trajectory on the loss function surface?
- A. MBGD
- B. BGD
- C. MGD
- D. SGD
Answer: D
NEW QUESTION # 45
Which of the following description of the number of rows and columns of the matrix is correct?
- A. The number of rows 1s greater than the number of columns
- B. The number of rows 1s equal to the number of columns
- C. The number of rows has no relationship with the number of columns.
- D. The number of rows is less than the number of columns
Answer: C
NEW QUESTION # 46
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Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam is one of the latest certifications introduced by Huawei. H13-311_V3.5 exam aims to assess the skill, knowledge, and proficiency of candidates in basic AI application technologies, intelligent computing architectures, and basic project management. Huawei is one of the leading tech giants in the world that strives to provide innovative solutions in the field of Artificial Intelligence, and this certification is one of their efforts towards that goal.
Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam is an important certification for IT professionals who want to advance their careers in the field of Artificial Intelligence. HCIA-AI V3.5 certification is recognized worldwide and is highly valued by employers in the IT industry. By passing H13-311_V3.5 exam, candidates demonstrate their proficiency in AI technologies and their ability to implement AI solutions using Huawei's AI development platform, ModelArts.
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