ECON 100 UNR CERTIFICATION EVALUATION
STUDY GUIDE 2026 FULL QUESTIONS AND
SOLUTIONS
▶ 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
▶ Which of the following are used in TensorFlow to describe the
computation process?
A. Parameter
B. Session
C. Data flow
D. Tensor - Answer: C
▶ 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
▶ 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
▶ Which of the following is not an advanced Al application?
, A. Knowledge graph
B. rget Quantum computing
C. SDN
D. Intelligent driving - Answer: C
▶ What are the main schools of thought in Al? (Multiple choice)
A. Symbolism
B. Illusionism
C. Actionism
D. Connectionism - Answer: ACD
▶ 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
▶ 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
▶ Which of the following are common evaluation metrics for classification
tasks? (Multiple choice)
A. Accuracy
B. Precision
C. Recall rate
D. Mean squared error - Answer: ABC
▶ Which of the following statements about data preprocessing are true?
(Multiple choice)
A. Data cleansing is a process of filling in missing values, as well as
detecting and eliminating noise and exceptions.
B. Data dimension reduction aims to simplify data attributes and avoid the
curse of dimensionality.
C. Data standardization aims to reduce noise data and improve model
accuracy by standardizing data.
STUDY GUIDE 2026 FULL QUESTIONS AND
SOLUTIONS
▶ 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
▶ Which of the following are used in TensorFlow to describe the
computation process?
A. Parameter
B. Session
C. Data flow
D. Tensor - Answer: C
▶ 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
▶ 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
▶ Which of the following is not an advanced Al application?
, A. Knowledge graph
B. rget Quantum computing
C. SDN
D. Intelligent driving - Answer: C
▶ What are the main schools of thought in Al? (Multiple choice)
A. Symbolism
B. Illusionism
C. Actionism
D. Connectionism - Answer: ACD
▶ 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
▶ 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
▶ Which of the following are common evaluation metrics for classification
tasks? (Multiple choice)
A. Accuracy
B. Precision
C. Recall rate
D. Mean squared error - Answer: ABC
▶ Which of the following statements about data preprocessing are true?
(Multiple choice)
A. Data cleansing is a process of filling in missing values, as well as
detecting and eliminating noise and exceptions.
B. Data dimension reduction aims to simplify data attributes and avoid the
curse of dimensionality.
C. Data standardization aims to reduce noise data and improve model
accuracy by standardizing data.
