NVIDIA NCA-GENL 問題集

質問 1：
What metrics would you use to evaluate the performance of a RAG workflow in terms of the accuracy of responses generated in relation to the input query? (Choose two.)
A. Response relevancy
B. Retriever latency
C. Context precision
D. Tokens generated per second
E. Generator latency
正解：A,C
解説: (Topexam メンバーにのみ表示されます)

質問 2：
When comparing and contrasting the ReLU and sigmoid activation functions, which statement is true?
A. ReLU is more computationally efficient, but sigmoid is better for predicting probabilities.
B. ReLU is less computationally efficient than sigmoid, but it is more accurate than sigmoid.
C. ReLU is a linear function while sigmoid is non-linear.
D. ReLU and sigmoid both have a range of 0 to 1.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 3：
Why do we need positional encoding in transformer-based models?
A. To represent the order of elements in a sequence.
B. To prevent overfitting of the model.
C. To reduce the dimensionality of the input data.
D. To increase the throughput of the model.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 4：
Which of the following principles are widely recognized for building trustworthy AI? (Choose two.)
A. Nondiscrimination
B. Scalability
C. Privacy
D. Conversational
E. Low latency
正解：A,C
解説: (Topexam メンバーにのみ表示されます)

質問 5：
Which tool would you use to select training data with specific keywords?
A. Regular expression filter
B. Tableau dashboard
C. JSON parser
D. ActionScript
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 6：
What is the purpose of the NVIDIA NeMo Toolkit?
A. NeMo helps researchers develop state-of-the-art models for computer vision based on convolutions.
B. NeMo helps researchers to develop models that trade-off size with minimum loss impact.
C. NeMo focuses on the morphology of a language by studying its words, and how they are formed.
D. NeMo facilitates the creation of models for speech recognition and natural language understanding.
正解：D
解説: (Topexam メンバーにのみ表示されます)

質問 7：
When should one use data clustering and visualization techniques such as tSNE or UMAP?
A. When there is a need to handle missing values and impute them in the dataset.
B. When there is a need to perform feature extraction and identify important variables in the dataset.
C. When there is a need to reduce the dimensionality of the data and visualize the clusters in a lower- dimensional space.
D. When there is a need to perform regression analysis and predict continuous numerical values.
正解：C
解説: (Topexam メンバーにのみ表示されます)