H13-311_V3.5
HCIA-AI V3.5
Real Dumps
https://www.certspots.com/exam/h13-311_v3-5/
H13-311_V3.5 HCIA-AI V3.5 Real Dumps
1. Which of the following technologies is commonly used for
image feature extraction and related research?
A. Convolutional neural network
B. Naive Bayes classification algorithm
C. Long short-term memory (LSTM) network
D. Word2Vec
Answer: A
H13-311_V3.5 HCIA-AI V3.5 Real Dumps
2. Consider a scenario where a machine learning algorithm is
used to filter spam. According to the definition of machine
learning, which of the following describes the experience E?
A. Spam filtering
B. Accuracy of spam filtering
C. All tagged spam and genuine emails in the past three years
D. Email addresses
Answer: C
H13-311_V3.5 HCIA-AI V3.5 Real Dumps
3. A computer uses labeled images to learn and determine which
images contain apples and which contain pears. Which of the
following types of machine learning is most applicable to this
scenario?
A. Supervised learning
B. Unsupervised learning
C. Semi-supervised learning
D. Reinforcement learning
Answer: A
H13-311_V3.5 HCIA-AI V3.5 Real Dumps
4. Which of the following statements is true about classification
models and regression models in machine learning?
A. For regression problems, the output variables are discrete
values. For classification problems, the output variables are
continuous values.
B. The most commonly used indicators for evaluating regression
and classification problems are accuracy and recall rate.
C. There may be overfitting in both regression and classification
problems.
D. Logistic regression is a typical regression model.
Answer: C
H13-311_V3.5 HCIA-AI V3.5 Real Dumps
5. During neural network training, which of the following values
is continuously updated by using the gradient descent method
to minimize the loss function?
A. Hyperparameter
B. Feature
C. Number of samples
D. Parameter
Answer: D
H13-311_V3.5 HCIA-AI V3.5 Real Dumps
6. Which of the following points constitute a support vector of
the SVM algorithm without considering regularization terms?
A. Points on the separating hyperplane
B. Farthest points from the separating hyperplane
C. Points closest to the separating hyperplane
D. Points of a certain type
Answer: C
H13-311_V3.5 HCIA-AI V3.5 Real Dumps
7. Which of the following are false about convolutional neural
networks?
A. A convolutional neural network may contain convolutional,
pooling, and fully connected layers.
B. Convolution kernels cannot extract global features of images.
C. Common pooling includes max pooling and average pooling.
D. When an image is processed, convolution is implemented by
using a scanning window.
Answer: B
H13-311_V3.5 HCIA-AI V3.5 Real Dumps
8. Which of the following is NOT a complexity feature of Al
computing?
A. Mixed precision computing
B. Parallel data and computing
C. Parallel communication and computing
D. Parallel processing of structured and unstructured data
Answer: D
H13-311_V3.5 HCIA-AI V3.5 Real Dumps
9. Which of the following are topics of speech processing
research?
A. Speech recognition
B. Voice processing
C. Speech wake-up
D. Voiceprint recognition
Answer: ABCD
H13-311_V3.5 HCIA-AI V3.5 Real Dumps
10. Which of the following statements about the running process of the
MindArmour subsystem is false?
A. Configuration policies: Define test policies based on threat vectors
and trustworthiness certification requirements and select appropriate
test data generation methods.
B. Fuzzing execution: Generate trusted test data randomly based on the
model coverage and configuration policies.
C. Evaluation report: Generate, an evaluation report based on built-in or
user-defined trustworthiness metrics.
D. Trustworthiness enhancement: Use preset methods to enhance the
trustworthiness of Al models.
Answer: B