2025 The Most Effective H13-311_V3.5 with 430 Questions Answers [Q194-Q210]

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2025 The Most Effective H13-311_V3.5 with 430 Questions Answers

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Q194. The commonly used functions for mathematical operations in Python are basically in lhe math module and the cmath module.

True

False

Q195. AI chips, also called AI accelerators, optimize matrix multiplication.

TRUE

FALSE

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.

Q196. Which of the following are callback options provided by MindSpore?

SummaryCollector

TrainStep

ModelCheckpoint

LossMonitor

MindSpore provides several callback functions that can be used to monitor, modify, or control the behavior of the training process. These include:
SummaryCollector: Collects summaries such as loss and accuracy for visualization and monitoring.
ModelCheckpoint: Saves model parameters during or after training.
LossMonitor: Monitors the loss values during training and can stop training if certain conditions are met.
TrainStep is not a callback but rather a fundamental step in training.

Q197. What are the scenarios or industries that are suitable for using Python? (Multiple Choice)

Artlfic1al intelligence

web development

Game development

Hardware development

Q198. Which of the following description about the relationship between the Poisson distribution and the binomial distribution is correct?

The mathematical model of the Poisson distribution and the binomial distribution are both Lagrangian models.

Poisson d1stnbutJon 1s an approx1mallon of the bmom1al d1stnbubon when n 1s very large and p 1s small (

Poisson distribution has no relationship with binomial distribution

Poisson distribution can replace binomial distribution

Q199. Which of the following options is not the- session mode used by Tensorflow?

Explicitly call the session to generate function

Explicitly call the session to close function

Through the Python context manager

Multiple POST queries

Q200. HUAWEI CLOUD EI Enable more use of corporate boundaries AI And big data services to accelerate business development and benefit society. HUAWEI CLOUD EI The service can serve the enterprise in the following aspects?

Industry data

Industry wisdom

algorithm

Computing power

Q201. What does factors that promote the development of artificial intelligence not include?

Big data

Computing ability

Algorithm theory

Block chain

Q202. In TensorFlow, data is represented in the form of tensors and calculation charts.

True

False

Q203. HUAWEI CLOUD EI There are many types of agents according to different industries and application scenarios. Currently, Huawei Cloud EI The agent has?

Industrial Agent

Traffic Agent

Park Agent

Car intelligence

Q204. Which of the following statements about datasets are true?

Testing refers to a process that uses a trained model for prediction. The dataset, which is used for testing, is called a testing set, and each sample is called a test sample.

A dataset generally has multiple dimensions. In each dimension, events or attributes that reflect the performance or nature of a sample in a particular aspect are called features.

In machine learning, a dataset is generally divided into a training set, validation set, and test set.

When it comes to the machine learning process, the validation set and the test set are essentially the same.

In machine learning:
The testing set is a dataset used after training to evaluate the model’s performance and generalization ability. Each sample in this set is called a test sample.
A dataset generally has multiple dimensions, with each dimension representing a feature or attribute of the data.
A typical machine learning process divides the data into a training set (to train the model), a validation set (to tune hyperparameters and avoid overfitting), and a test set (to evaluate the model’s final performance).
The statement that the validation set and test set are the same is false because they serve different purposes: validation is for hyperparameter tuning, while testing is for final model evaluation.

Q205. 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 rich library of machine learning algorithms.

machine learning program is intuitive and easy to use.

Distributed and scalable big data computing engine.

Support for the R language but does not support the Python language

Q206. Huawei Cloud ModelArts provides ModelBox for device-edge-cloud joint development. Which of the following are its optimization policies?

Hardware affinity

Operator optimization

Automatic segmentation of operators

Model replication

Huawei Cloud ModelArts provides ModelBox, a tool for device-edge-cloud joint development, enabling efficient deployment across multiple environments. Some of its key optimization policies include:
Hardware affinity: Ensures that the models are optimized to run efficiently on the target hardware.
Operator optimization: Improves the performance of AI operators for better model execution.
Automatic segmentation of operators: Automatically segments operators for optimized distribution across devices, edges, and clouds.
Model replication is not an optimization policy offered by ModelBox.

Q207. The timestamps in the Python language- are represented by how long (in seconds) elapsed from midnight (epoch) on January 1, 1970

True

False

Q208. The for loop statement in the Python language can iterate through the items in any sequence.

True

False

Q209. Which of the following is not a face recognition technology?

Face search

Face comparison

Face Detection

Remake recognition

Q210. The face detection service will report an error when there is no face in the test image.

TRUE

FALSE

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Huawei H13-311_V3.5 (HCIA-AI V3.5) exam is a certification exam that focuses on Artificial Intelligence (AI) technologies. It is designed to test an individual’s proficiency in AI technologies, including machine learning, deep learning, and neural networks. H13-311_V3.5 exam is also aimed at testing the candidate’s ability to design, deploy, and maintain AI solutions in various business environments.

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2025 The Most Effective H13-311_V3.5 with 430 Questions Answers [Q194-Q210]

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