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質問 1：
Which of the following is not an algorithm for training word vectors?
A. Word2Vec
B. TextCNN
C. BERT
D. FastText
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 2：
Vision transformer (ViT) performs well in image classification tasks. Which of the following is the main advantage of ViT?
A. It achieves fast convergence without using pre-trained models.
B. The self-attention mechanism is used to capture global features of images, improving classification accuracy.
C. It can handle small datasets with minimal labeling required.
D. It can process high-resolution images to enhance classification accuracy.
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 3：
Which of the following statements about the levels of natural language understanding are true?
A. Speech analysis involves distinguishing independent phonemes from a speech stream based on phoneme rules, and then identifying syllables and their lexemes or words according to the phoneme form rules.
B. Pragmatic analysis is to study the influence of the language's external environment on the language users.
C. Semantic analysis is to analyze the structure of sentences and phrases to find out the relationship between words and phrases, as well as their functions in sentences.
D. Syntactic analysis is to find out the meaning of words, structural meaning, their combined meaning, so as to determine the true meaning or concept expressed by a language.
E. Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
正解：A,B,E
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
The attention mechanism in foundation model architectures allows the model to focus on specific parts of the input data. Which of the following steps are key components of a standard attention mechanism?
A. Apply a non-linear mapping to the result obtained after the weighted summation.
B. Compute the weighted sum of the value vectors using the attention weights.
C. Normalize the attention scores to obtain attention weights.
D. Calculate the dot product similarity between the query and key vectors to obtain attention scores.
正解：B,C,D
解説: (Pass4Test メンバーにのみ表示されます)
質問 5：
Transformer models outperform LSTM when analyzing and processing long-distance dependencies, making them more effective for sequence data processing.
A. TRUE
B. FALSE
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 6：
------- is a model that uses a convolutional neural network (CNN) to classify texts.
正解：
Text CNN
Explanation:
Text CNN applies convolutional layers directly to text data represented as word embeddings. By using multiple kernel sizes, Text CNN captures features from n-grams of varying lengths. These features are pooled and passed to fully connected layers for classification tasks such as sentiment analysis or spam detection.
Exact Extract from HCIP-AI EI Developer V2.5:
"Text CNN applies convolution and pooling over word embeddings to extract local features for text classification." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: CNN Applications in NLP
Which of the following is not an algorithm for training word vectors?
A. Word2Vec
B. TextCNN
C. BERT
D. FastText
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 2：
Vision transformer (ViT) performs well in image classification tasks. Which of the following is the main advantage of ViT?
A. It achieves fast convergence without using pre-trained models.
B. The self-attention mechanism is used to capture global features of images, improving classification accuracy.
C. It can handle small datasets with minimal labeling required.
D. It can process high-resolution images to enhance classification accuracy.
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 3：
Which of the following statements about the levels of natural language understanding are true?
A. Speech analysis involves distinguishing independent phonemes from a speech stream based on phoneme rules, and then identifying syllables and their lexemes or words according to the phoneme form rules.
B. Pragmatic analysis is to study the influence of the language's external environment on the language users.
C. Semantic analysis is to analyze the structure of sentences and phrases to find out the relationship between words and phrases, as well as their functions in sentences.
D. Syntactic analysis is to find out the meaning of words, structural meaning, their combined meaning, so as to determine the true meaning or concept expressed by a language.
E. Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
正解：A,B,E
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
The attention mechanism in foundation model architectures allows the model to focus on specific parts of the input data. Which of the following steps are key components of a standard attention mechanism?
A. Apply a non-linear mapping to the result obtained after the weighted summation.
B. Compute the weighted sum of the value vectors using the attention weights.
C. Normalize the attention scores to obtain attention weights.
D. Calculate the dot product similarity between the query and key vectors to obtain attention scores.
正解：B,C,D
解説: (Pass4Test メンバーにのみ表示されます)
質問 5：
Transformer models outperform LSTM when analyzing and processing long-distance dependencies, making them more effective for sequence data processing.
A. TRUE
B. FALSE
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 6：
------- is a model that uses a convolutional neural network (CNN) to classify texts.
正解：
Text CNN
Explanation:
Text CNN applies convolutional layers directly to text data represented as word embeddings. By using multiple kernel sizes, Text CNN captures features from n-grams of varying lengths. These features are pooled and passed to fully connected layers for classification tasks such as sentiment analysis or spam detection.
Exact Extract from HCIP-AI EI Developer V2.5:
"Text CNN applies convolution and pooling over word embeddings to extract local features for text classification." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: CNN Applications in NLP
Aoyama -
確実に合格できそうである。Pass4Testさん、先にあざっす
各項の注目点と基本的な考え方が分かりやすい内容だ。