EPIC CLN 251 ACTUAL EXAM TEST PAPER FULL QUESTIONS CORRECT RESPONSES
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
typical regression model. -
Answer:
C
Question:
Which of the following are used in TensorFlow to describe the computation process? A. Parameter
B. Session C. Data flow D. Tensor -
Answer:
C
Question:
Which of the following is NOT a characteristic of PyTorch? A. Python first B. Easy to debug C.
Extensive ecosystem D. Default use of static maps -
Answer:
D
Question:
Which of the following statements is true about the training of large models? A. Foundation models
cannot be directly deployed. B. The pre-training of large models requires a large amount of
, high-quality data. C. Unlabeled data used in the pre-training phase of large models must be used in
the fine-tuning phase. D. Large models have emergent abilities, and therefore they do not need to be
aligned with human values. -
Answer:
B
Question:
Which of the following is not an advanced Al application? A. Knowledge graph B. rget Quantum
computing C. SDN D. Intelligent driving -
Answer:
C
Question:
What are the main schools of thought in Al? (Multiple choice) A. Symbolism B. Illusionism C.
Actionism D. Connectionism -
Answer:
ACD
Question:
What are the layers used in Transformer to capture time dependencies within a sequence? (Multiple
choice) A. Residual layer B. Self-attention layer C. Location code D. Feed-forward network layer -
Answer:
BC
Question:
Which of the following hyperparameters may be defined during model training? (Multiple choice)
A. Batch size B. Learning rate C. Optimizer type D. Loss value -
Answer:
ABC
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
typical regression model. -
Answer:
C
Question:
Which of the following are used in TensorFlow to describe the computation process? A. Parameter
B. Session C. Data flow D. Tensor -
Answer:
C
Question:
Which of the following is NOT a characteristic of PyTorch? A. Python first B. Easy to debug C.
Extensive ecosystem D. Default use of static maps -
Answer:
D
Question:
Which of the following statements is true about the training of large models? A. Foundation models
cannot be directly deployed. B. The pre-training of large models requires a large amount of
, high-quality data. C. Unlabeled data used in the pre-training phase of large models must be used in
the fine-tuning phase. D. Large models have emergent abilities, and therefore they do not need to be
aligned with human values. -
Answer:
B
Question:
Which of the following is not an advanced Al application? A. Knowledge graph B. rget Quantum
computing C. SDN D. Intelligent driving -
Answer:
C
Question:
What are the main schools of thought in Al? (Multiple choice) A. Symbolism B. Illusionism C.
Actionism D. Connectionism -
Answer:
ACD
Question:
What are the layers used in Transformer to capture time dependencies within a sequence? (Multiple
choice) A. Residual layer B. Self-attention layer C. Location code D. Feed-forward network layer -
Answer:
BC
Question:
Which of the following hyperparameters may be defined during model training? (Multiple choice)
A. Batch size B. Learning rate C. Optimizer type D. Loss value -
Answer:
ABC
