CRITICAL CARE HESI COMPREHENSIVE EXAM SCRIPT COMPLETE QUESTIONS VERIFIED
SOLUTIONS
Question:
https://www.passquestion.com/h13-311_v4-0-enu.html - By practicing with PassQuestion
H13-311_V4.0-ENU HCIA-AI V4.0 exam questions, you can significantly reduce preparation time,
avoid unnecessary study detours, and confidently pass the HCIA-AI V4.0 exam on your first
attempt.
Answer:
Question:
■ During neural network training, which of the following values is continuously updated using the
gradient descent method to minimize the loss function? A. Hyperparameters B. Feature value C.
Number of samples D. Parameters -
Answer:
D
Question:
Without considering any regularization terms, the support vectors of a support vector machine
(SVM) are composed of ( ). A. Points on the separating hyperplane B. The points farthest from the
separating hyperplane C. The points closest to the separating hyperplane D. Points of a certain type -
Answer:
C
Question:
Within the broad landscape of large language models built on the Transformer architecture, which
roadmap does GPT belong to? A. Encoder-Only B. Decoder-Only C. Encoder-Decoder D.
, Decoder-Encoder -
Answer:
B
Question:
Which of the following is NOT a use case for natural language processing? A. Public opinion
analysis B. Machine translation C. Text classification D. Image recognition -
Answer:
D
Question:
Which of the following statements about different optimizers is false? A. RMSprop solves the
problem of the Adagrad optimizer ending too early. B. Compared with RMSprop, Adagrad is more
sensitive to gradient changes. C. Both Adagrad and RMSprop can set adaptive learning rate for
parameters. D. Adam requires bias correction for initial iterations. -
Answer:
B
Question:
Which of the following is NOT an Al deep learning framework? A. TensorFlow B. Scikit-learn C.
Pytorch D. Caffe -
Answer:
B
Question:
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. B. The most commonly used indicators
for evaluating regression and classification problems are the accuracy and the recall rate. C.
Overfitting may occur in both regression and classification problems. D. Logistic regression is a
SOLUTIONS
Question:
https://www.passquestion.com/h13-311_v4-0-enu.html - By practicing with PassQuestion
H13-311_V4.0-ENU HCIA-AI V4.0 exam questions, you can significantly reduce preparation time,
avoid unnecessary study detours, and confidently pass the HCIA-AI V4.0 exam on your first
attempt.
Answer:
Question:
■ During neural network training, which of the following values is continuously updated using the
gradient descent method to minimize the loss function? A. Hyperparameters B. Feature value C.
Number of samples D. Parameters -
Answer:
D
Question:
Without considering any regularization terms, the support vectors of a support vector machine
(SVM) are composed of ( ). A. Points on the separating hyperplane B. The points farthest from the
separating hyperplane C. The points closest to the separating hyperplane D. Points of a certain type -
Answer:
C
Question:
Within the broad landscape of large language models built on the Transformer architecture, which
roadmap does GPT belong to? A. Encoder-Only B. Decoder-Only C. Encoder-Decoder D.
, Decoder-Encoder -
Answer:
B
Question:
Which of the following is NOT a use case for natural language processing? A. Public opinion
analysis B. Machine translation C. Text classification D. Image recognition -
Answer:
D
Question:
Which of the following statements about different optimizers is false? A. RMSprop solves the
problem of the Adagrad optimizer ending too early. B. Compared with RMSprop, Adagrad is more
sensitive to gradient changes. C. Both Adagrad and RMSprop can set adaptive learning rate for
parameters. D. Adam requires bias correction for initial iterations. -
Answer:
B
Question:
Which of the following is NOT an Al deep learning framework? A. TensorFlow B. Scikit-learn C.
Pytorch D. Caffe -
Answer:
B
Question:
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. B. The most commonly used indicators
for evaluating regression and classification problems are the accuracy and the recall rate. C.
Overfitting may occur in both regression and classification problems. D. Logistic regression is a
