Get New 2025 Huawei exam H13-311_V3.5 Dumps Bundle On flat Updated Dumps!
Full H13-311_V3.5 Practice Test and 430 unique questions with explanations waiting just for you, get it now!
NEW QUESTION # 148
The training error decreases as the model complexity increases.
- A. FALSE
- B. TRUE
Answer: B
Explanation:
As the model complexity increases (for example, by adding more layers to a neural network or increasing the depth of a decision tree), the training error tends to decrease. This is because more complex models are able to fit the training data better, possibly even capturing noise. However, increasing complexity often leads to overfitting, where the model performs well on the training data but poorly on unseen test data.
The relationship between model complexity and performance is covered extensively in Huawei HCIA AI's discussion of overfitting and underfitting and how model generalization is affected by increasing model complexity.
HCIA AI
Reference:
Machine Learning Overview: Explains model complexity and its effect on training and testing error curves.
Deep Learning Overview: Discusses the balance between model capacity, overfitting, and underfitting in deep learning architectures.
NEW QUESTION # 149
Which of the following are AI Application areas?
- A. Smart medical
- B. Wisdom education
- C. Smart City
- D. Smart home
Answer: A,B,C,D
NEW QUESTION # 150
L1 with L2 Regularization is a method commonly used in traditional machine learning to reduce generalization errors. The following is about the two.
The right way is:
- A. L2 Regularization can do feature selection
- B. L1 Regularization can do feature selection
- C. L1 with L2 Regularization can be used for feature selection
- D. L1 with L2 Regularization cannot be used for feature selection
Answer: B
NEW QUESTION # 151
Which of the following functions are provided by the nn module of MindSpore?
- A. Hyperparameter search modes such as GridSearch and RandomSearch
- B. Model evaluation indicators such as F1 Score and AUC
- C. Loss functions such as MSELoss and SoftmaxCrossEntropyWithLogits
- D. Optimizers such as Momentum and Adam
Answer: C,D
Explanation:
The nn module in MindSpore provides essential tools for building neural networks, including:
C . Optimizers: such as Momentum and Adam, which are used to adjust the weights of the model during training.
D . Loss functions: such as MSELoss (Mean Squared Error Loss) and SoftmaxCrossEntropyWithLogits, which are used to compute the difference between predicted and actual values.
The other options are incorrect because:
A . Hyperparameter search modes (like GridSearch and RandomSearch) are typically found in model training and tuning modules, but not in the nn module.
B . Model evaluation indicators like F1 Score and AUC are also handled by specific evaluation functions or libraries outside the nn module.
HCIA AI
Reference:
AI Development Framework: Detailed coverage of MindSpore's nn module, its optimizers, and loss functions.
Introduction to Huawei AI Platforms: Explains various MindSpore features, including network construction and training.
NEW QUESTION # 152
Which of the following are subfields of AI?
- A. Computer vision
- B. Backpropagation algorithm
- C. Expert system
- D. Smart finance
Answer: A,C
Explanation:
Artificial intelligence is a broad field that encompasses several subfields. Two key subfields are:
Expert systems, which are computer programs that mimic the decision-making abilities of a human expert by reasoning through bodies of knowledge. These systems are used in various domains such as healthcare, engineering, and finance.
Computer vision, which enables machines to interpret and understand visual data from the world. It includes tasks such as object detection, image recognition, and video analysis.
While options like backpropagation and smart finance are related to AI, they represent specific algorithms or application areas rather than broad subfields.
NEW QUESTION # 153
Huawei Machine learning Service MLS 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. Support for the R language but does not support the Python language
- B. Distributed and scalable big data computing engine.
- C. machine learning program is intuitive and easy to use.
- D. A rich library of machine learning algorithms.
Answer: A
NEW QUESTION # 154
TensorFlow in keras The built-in optimizer of the module has?
- A. SGD
- B. Adaboost
- C. Adadelta
- D. Adam
Answer: A,B,C,D
NEW QUESTION # 155
The following description of machine learning is correct?
- A. Deep learning and machine learning are mutually inclusive
- B. Deep learning and machine learning are both artificial intelligence but have no relationship to each other
- C. None of the above
- D. Deep learning is a branch of machine learning
Answer: D
NEW QUESTION # 156
Which of the following options is not the Tensorflow build process?
- A. Generate a session
- B. Update weights I Right Answers)
- C. Building a calculation chart
- D. Input tensor
Answer: B
NEW QUESTION # 157
Which of the following statements are true about decision trees?
- A. The common decision tree algorithms include ID3, C4.5, and CART.
- B. A key step to building a decision tree involves dividing all feature attributes and comparing the purity of the division's result sets.
- C. Building a decision tree means selecting feature attributes and determining their tree structure.
- D. Quantitative indicators of purity can only be obtained by using information entropy.
Answer: A,B,C
Explanation:
A . TRUE. The common decision tree algorithms include ID3, C4.5, and CART. These are the most widely used algorithms for decision tree generation.
B . FALSE. Purity in decision trees can be measured using multiple metrics, such as information gain, Gini index, and others, not just information entropy.
C . TRUE. Building a decision tree involves selecting the best features and determining their order in the tree structure to split the data effectively.
D . TRUE. One key step in decision tree generation is evaluating the purity of different splits (e.g., how well the split segregates the target variable) by comparing metrics like information gain or Gini index.
HCIA AI
Reference:
Machine Learning Overview: Covers decision tree algorithms and their use cases.
Deep Learning Overview: While this focuses on neural networks, it touches on how decision-making algorithms are used in structured data models.
NEW QUESTION # 158
In a neural network based on connectionism, each node can express a specific meaning.
- A. TRUE
- B. FALSE
Answer: B
NEW QUESTION # 159
Vector group a1=(1, 1, 1), a2=(0,2.5), a3=(1.3,6), which of the following options is correct?
- A. Linear independence
- B. 2a1+a2+a3=0
- C. Linear correlation
- D. aHa2+a3=0
Answer: C
NEW QUESTION # 160
TensorFlow 2.0 stand by GPU The acceleration is mainly manifested in the parallel operation of the addition, subtraction, multiplication and division of the matrix accelerate.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 161
Which of the following are covered by Huawei Cloud EIHealth?
- A. Drug R&D
- B. Clinical research
- C. Diagnosis and treatment
- D. Genome analysis
Answer: A,B,C,D
Explanation:
Huawei Cloud EIHealth is a comprehensive platform that offers AI-powered solutions across various healthcare-related fields such as:
Drug R&D: Accelerates drug discovery and development using AI.
Clinical research: Enhances research efficiency through AI data analysis.
Diagnosis and treatment: Provides AI-based diagnostic support and treatment recommendations.
Genome analysis: Uses AI to analyze genetic data for medical research and personalized medicine.
NEW QUESTION # 162
Which of the following statements is false about feedforward neural networks?
- A. Each neuron is connected to all neurons at the previous layer.
- B. Nodes at each hidden layer represent neurons that provide the computing function.
- C. Input nodes do not provide the computing function and are used to represent only the element values of an input vector.
- D. A unidirectional multi-layer structure is adopted. Each layer includes several neurons, and those in the same layer are not connected to each other. Only unidirectional inter-layer information transmission is supported.
Answer: A
Explanation:
This statement is false because not all feedforward neural networks follow this architecture. While fully-connected layers do have this type of connectivity (where each neuron is connected to all neurons in the previous layer), feedforward networks can include layers like convolutional layers, where not every neuron is connected to all previous neurons. Convolutional layers, common in convolutional neural networks (CNNs), only connect to a local region of the input, preserving spatial information.
NEW QUESTION # 163
Root The user cannot install Atlas300 (3000) Install the accelerator card on the server DDK (Device Development Kit), Can only be installed by ordinary users.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 164
Which of the following are general quantum algorithms?
- A. Shor algorithm
- B. Grover algorithm
- C. HHL algorithm
- D. A* search algorithm
Answer: A,B,C
Explanation:
The general quantum algorithms include:
A . HHL algorithm (Harrow-Hassidim-Lloyd): An algorithm designed for solving systems of linear equations using quantum computers.
B . Shor algorithm: A quantum algorithm for factoring large integers efficiently, which is important in cryptography.
C . Grover algorithm: A quantum search algorithm used for unstructured database search, providing a quadratic speedup over classical search algorithms.
The A search algorithm* is not a quantum algorithm; it is a classical algorithm used for finding the shortest path in a graph. Therefore, D is incorrect.
HCIA AI
Reference:
Cutting-edge AI Applications: Discusses the potential of quantum algorithms in AI and other advanced computing applications.
NEW QUESTION # 165
When the universal text recognition service is successfully called, the returned text recognition result is stored in which of the following fields?
- A. content
- B. result
- C. words
- D. text
Answer: B
NEW QUESTION # 166
Tensor Yes MindSpore The storage component of the data.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 167
Which of the following are the cloud services provided by Huawei Cloud El Visual Cognition?
(Multiple choice)
- A. Text recognition
- B. Image recognition
- C. Content detection
- D. Face recognition
- E. Image processing
Answer: A,B,C,D,E
NEW QUESTION # 168
......
[Jan-2025] Pass Huawei H13-311_V3.5 Exam in First Attempt Guaranteed: https://drive.google.com/open?id=1-QDdmPaeYWZfwED7ld9ZzHElwjRzzrLg
Reduce Your Chance of Failure in H13-311_V3.5 Exam: https://www.topexamcollection.com/H13-311_V3.5-vce-collection.html
