CLTM ASAP COMPREHENSIVE EXAM SCRIPT COMPLETE QUESTIONS VERIFIED SOLUTIONS

CLTM ASAP COMPREHENSIVE EXAM SCRIPT COMPLETE QUESTIONS VERIFIED
SOLUTIONS
CLTM ASAP Certification Evaluation Study Guide
2026/2027 Questions and Answers Verified Solutions
Latest Update

Question:
Which of the following statements about model parameters and hyperparameters are true? (Multiple
choice) A. Models contain both parameters and hyperparameters. B. Hyperparameters are
automatically learned by models. C. Hyperparameters are manually set. D. Hyperparameters can be
used to control training. -

Answer:
ACD



Question:
Data augmentation can improve model robustness and avoid overfitting. Which of the following are
data augmentation methods? (Multiple choice) A. Batch normalization B. Image contrast change C.
Image noise adding D. Random crop -

Answer:
BCD



Question:
A manufacturer wants to produce virtual assistants for hospital use. For virtual assistants, which of
the following technologies is used for voiceprint recognition? A. Speech recognition and processing
B. Image recognition and processing C. Expert system and knowledge graph D. Image generation
and enhancement -

Answer:
A



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