Huawei HCIA-AI V3.5 Demo

Name:

1. What are the levels of driving automation defined by SAE International, formerly named the Society of Automotive Engineers (SAE), based on the degree of dependency on the system?

• A. L0~L4
• B. L0~L5
• C. L1~L5
• D. L1~L4

2. Which of the following technologies is commonly used for image feature extraction and related research?

• A. Convolution neural network
• B. Naive Bayes classification algorithm
• C. Long short-term memory (LSTM) network
• D. Word2Vec

3. Data is carrier and representation of information. Which of the following statements about data in AI applications is true?

• A. Data quality is not relevant to the quality of an AI model
• B. Data quality is important and as it determines the result of the model
• C. Data can be directly imported to a model without preprocessing
• D. Data refers only to that within an Excel file

4. Consider a scenario where a machine learning algorithm is used to filter spam. According to the definition of machine learning, which of the following describes the experience E?

• A. Spam filtering
• B. Accuracy of spam filtering
• C. All tagged spam and genuine emails in the past three years
• D. Email addresses

5. A computer uses labeled images to learn and determine which images contain apples and which contain pears. Which of the following types of machine learning is most applicable to this scenario?

• A. Supervised learning
• B. Unsupervised learning
• C. Semi-supervised learning
• D. Reinforcement learning

6. 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 values.
• B. The most commonly used indicators for evaluating regression and classification problems are accuracy and recall rate.
• C. There may be overfitting in both regression and classification problems
• D. Logistic regression is a typical regression model

7. Which of the following points constitute a support vector of the SVM algorithm without considering regularization terms?

• A. Points on the separating hyperplane
• B. Farthest points from the separating hyperplane
• C. Points closest to the separating hyperplane
• D. Points of a certain type

8. Kernel functions allow algorithms to fit the largest hyperplane in a transformed high-dimensional feature space. Which of the following is not a common kernel function?

• A. Linear kernel function
• B. Polynomial kernel function
• C. Gaussian kernel function
• D. Poisson kernel function

9. In 1958, Frank Rosenblatt invented the perceptron algorithm. 10 years later, Marvin Minsky questioned the perceptron's ability to solve non-linear classification problems, and proposed the question that signed the death warrant of perceptrons. Which of the following is the question?

• A. AND problem
• B. OR problem
• C. XOR problem
• D. XAND problem