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H13-311 Real Exam Questions

HCIA-AI V3.5

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Question 1 Single choice

When you use MindSpore to execute the following code, which of the following is the output?

python

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x = Tensor(np.array([[1, 2], [3, 4]]), dtype.int32)

  1. A

    dtype

  2. B

    2

  3. C

    mindspore.int32

  4. D

    4

  5. E

    (2,2)

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Correct answer: B

Question 2 Multiple choice

Which of the following are main components of Huawei's full-stack AI solution?

  1. A

    Ascend

  2. B

    ModelArts

  3. C

    Kunpeng

  4. D

    MindSpore

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Correct answers: A, B, D

Question 3 Drag & drop

DRAG DROP

Correctly connect the layers in the architecture of an Ascend AI Processor.

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Correct answer diagram
Question 4 Single choice

Convolutional neural networks (CNNs) cannot be used to process text data.

  1. A

    TRUE

  2. B

    FALSE

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Correct answer: B

Question 5 Multiple choice

Which of the following are use cases of generative adversarial networks?

  1. A

    Photo repair

  2. B

    Generating face images

  3. C

    Generating a 3D model from a 2D image

  4. D

    Generating images from text

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Correct answers: A, B, C, D

Question 6 Single choice

The Rectified Linear Unit (ReLU) activation function helps mitigate the problem of:

  1. A

    Exploding gradient

  2. B

    Vanishing gradient

  3. C

    Overfitting

  4. D

    Underfitting

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Correct answer: B

Question 7 Multiple choice

Which of the following are common gradient descent methods?

  1. A

    Batch gradient descent (BGD)

  2. B

    Mini-batch gradient descent (MBGD)

  3. C

    Multi-dimensional gradient descent (MDGD)

  4. D

    Stochastic gradient descent (SGD)

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Correct answers: A, B, D

Question 8 Single choice

The concept of "artificial intelligence" was first proposed in the year of:

  1. A

    1950

  2. B

    1956

  3. C

    1960

  4. D

    1965

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Correct answer: B

Question 9 Multiple choice

Which of the following statements are true about the k-nearest neighbors (k-NN) algorithm?

  1. A

    k-NN typically uses the mean value method to predict regression.

  2. B

    k-NN typically uses the majority voting method to predict classification.

  3. C

    k-NN is a parametric method often used for datasets with regular decision boundaries.

  4. D

    The k-NN algorithm determines which class an object belongs to based on the class to which most of the object's k nearest neighbors belong.

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Correct answers: B, D

Question 10 Single choice

Which of the following algorithms presents the most chaotic landscape on the loss surface?

  1. A

    Stochastic gradient descent

  2. B

    MGD

  3. C

    MBGD

  4. D

    BGD

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Correct answer: A