QUESTION No: 101 Which ofthe following aspects belong to Huawe''s full stack Al solution? D AAscend B.CANN C. ModelArts: D.MindSpore QUESTION No: 102 {a model has a large deviation on the test set and a small variance, it means that the model? > A Undertting © 8, May be overfitting may be underfiting O ¢.Just at O 0. Overfiting ‘QUESTION NO: 103 ‘SVM What are the commonly used kernel functions in? ‘A Polynomial kernel function B, Gaussian kernel function . Sigmiod Kernel function D. Linear kernel ‘QUESTION No: 104 Inthe face search servi if we want to delete a certain face set, we can use this code: fire_cliet get_v2\).get face_set_service()delete_face_set{"~"), among them "is to fin the actual face set name. A.TRUE © B.FALSE ‘QUESTION NO: 105 HUAWEI CLOUD E! Enable more use of corporate boundaries Al And big data services to accelerate business development and benefit society. HUAWEI CLOUD El The service can serve the enterprise inthe following aspects? © A. Industry wisdom C B.algorithm €. Computing power D. Industry data‘QUESTION NO: 106 Python isa fully object-oriented language. Which ofthe following options belong to the Python object? (Multiple Choice) ‘A. Number B, Character string . Function D. Module QUESTION No: 107 In the process of training the neural network, our goal Isto keep the loss function reduced. Which of the following ‘methods do we usually use to minimize the loss function? A. Dropout B. Crose-validation > €. Gradient descent > D. Regularization QUESTION No: 108 ‘TensorFlow2.0 of keras.preprocessing The role is? ‘A. keras Model deployment tool > B.keras Data processing tools, C. Keras Generative model too! D. keras Bulltin optimizer ‘QUESTION No: 108 Which ofthe following options is not a reason for traditional machine learning algorithms to promote the development of deep learning? {A local invariance and smooth regularization B. Manifold learning © C.Feature Engineering © D. Dimensional disaster ‘QUESTION NO: 110 Gyclic neural networks are more suitable for dealing with image recognition problems, AFalee 8. TrueQUESTION No: 111 Which of the following statements about supervised learning Is correct? [A Decision tree Is a supervised learning B. Supervised learning cannot use cross-validation for training C. Supervised learning can be trained without labels, D. Supervised learning is a rule-based algorithm ‘QUESTION NO: 112, What are the Python language data types? (Multiple Choice) Ait D B.tuple D c.dletionary D. numbers E.etring ‘QUESTION No: 113 TensorFiow is Google's first generation of proprietary machine learning systems A False OB tue QUESTION NO: 114 Which of the following is not MindSpore common Operation? O A.math Bn . array > D. signal QUESTION NO: 115 With a lot of sales data but no labels, companies want to Identity VIP Customer, the following model Suitable? A. K-Means B. Logistic regression C. -Hierarchical clustering D.svmQUESTION No: 116 Which ofthe following options is not central to linear algebra? ‘A Vector space > B. Linear transformation Probability theory > D. Matrix theory ‘QUESTION NO: 117 SIR itis @ simple, efficient and flexible graph-based function IR, A functional semantic type that can be represented Have? ‘A.Recureion B. Free variable ©. Interrupt Higher order function ‘QUESTION NO: 118 ‘The Python list can be identitied by "and the default index of the first element from left to right is 1. A False B Tue QUESTION No: 119 mn Huawel Cloud El Enterprise intelligence, which basic platform services are included? (Multiple Cholce) A Batch processing B.Deep learning ©. Graph engine D. Machine learning ‘QUESTION No: 120 What people say about neural networks is wrong? ‘A. There is no connection between neurons in the seme layer of the feedforward neural network B.As the number of hidden layers of the neural network increases, the classification ability ofthe model ‘gradually weakens C. The limitation of a single-layer perceptron is that it cannot solve the XOR problem . The feedforward neural network can be represented by a directed acyclic graph‘QUESTION NO: 121 In the gradient descent algorithm, which ofthe following algorithms is the most confusing algorithm for the trajectory on the loss function surface? ABCD 5. MBGD 0 &.seD D.meD ‘QUESTION NO: 122 During the two classification process, we can set any category as a positive example. A TRUE © B.FALSE ‘QUESTION NO: 123 Vector group at=(1, 1, 1), 2=(0.2.6), a3=(1.3.6), which ofthe following options is correct? A Linear correlation B.2ateazeade0 . Linear independence > D. abiaZeas=( QUESTION NO: 124 Which ofthe following about the gradient descent is incorrect? > A. Gradient descent includes random gradient dascent and batch gradient descent. B. Random gradient descent is one of the commonly used optimization algorithms in deep learning algorithms. > ©. The gradient descent algorithm 1s fast and rellable [Right Answers) 1D. Random gradient descent is a commonly used one in gradient descent. QUESTION No: 125 Huawei Machine learning Service MLS MLS Is a one-stop platform that supports the entire process of data analysis, Which ofthe following i not a feature of MLS? © A Distributed and scalable big data computing engine. © B.Arich library of machine learning algorithms. C. machine ning program is intuitive and easy to use, . Support forthe R language but does not support the Python language‘QUESTION No: 126 Which ofthe following are the cloud services provided by Huawel Cloud E! Visual Cognition? (Multiple choice) ‘A. Image processing B. Face recognition © €. Content detection CD. mage recognition E. Text recognition ‘QUESTION NO: 127 A scalar kis multiplied by matrix A equal to k and .ch ofthe numbers in A fe multiplied A.False B.Tue ‘QUESTION NO: 128 ‘There are many types of neural networks in deep learning. The following neural network information Is one.way propagation: © A Recurrent neural network 'B. Convolutional Neural Network c.GRU © DLsTM. ‘QUESTION NO: 129 Which of the following are the activation functions of deep learning algorithms? A.ReLU B.sin © ¢. Sigmoid Cb. Tank QUESTION NO: 130 ‘TensorFlow 2.0 The way to view tensor dimensions in is? > A.dimens > B. dtype nim > D. deviceQUESTION NO: 131 ‘Atlas accelerate Al What processor is used for inference? © A Different 910 processor B.FPGA © c.apu © D. Different 310 processor QUESTION No: 132 Which ofthe following is HUAWEI HIAI Foundation Function of the module? A. App integrated (© B According to user needs, push services atthe right time and atthe right time (© C.Let the service actively find users. © D. Quickly convert and migrate existing models ‘QUESTION No: 133 ‘On Huawel Cloud E! Which of the following can be Al Technology Is Integrated into the application scenarios of all ‘walks of Ife Al The advantages of technology to improve efficiency and improve experience. (© A.0BS Object storage service BEI Agent (© C.EIBig data service (© D.Cloud database QUESTION No: 134 In order for a machine to be intelligent, it must be knowledgeable. Therefore, there Is a research fleld in artificial intelligence. which mainly studies how computers automatically acquire knowledge and skills to achieve self- improt emenL What is the branch of this research called? A Expert system © B.Neural Network C. Natural language processing (© D-Machine learning QUESTION NO: 135 For the image classification problem, which of the following neural networks is more suitable to solve this problem? ‘A. Recurrent neural network B. Convolutional Neural Network C. sensor © D. Fully connected neural networkQUESTION NO: 136 GPU Good at computationally intensive and easy to parallel program: A.TRUE © B. FALSE ‘QUESTION NO: 137 ‘Which ofthe following is true about unsupervised learning? 'A. Kemeans algorithm and SVM algorithm belong lo unsupervised learning . Unsupervised algorithm only processes “features” and does not process “tags” © G.None of the above D. Dimensionality reduction algorithm is not unsupervised learning QUESTION No: 138 Linear regression in 3 The fited surface nthe dimension above dimension is? © A.Hyperplene © B. Hypersurface C. Curved surface D. flat QUESTION No: 138 Training error will reduce the accuracy of the model and produce under-fting. How to Improve the model ft? (Muitiple choice) OA. Inerease the amount of data 0 B.Add features CC Feature Engineering (CD Reduce regularization parameters QUESTION No: 140 Convolutional neural networks are more sultable for mage recognition problems than cyelle neural networks. A Fale © B. True‘QUESTION NO: 141, Which ofthe following schools does the neural network study belong to? B. Symbolism C.None of the above D.Conneetionism QUESTION No: 142 ‘Which ofthe fellowing options belong to Tensorflow concept? (Multiple Choice) ‘A.Conversation © B. Placeholder Cl € Operation D. Tensor E, Variables. QUESTION NO: 143 ‘Tensor Yes MindSpore The storage component ofthe data. A TRUE B.FALSE QUESTION No: 144 ‘The TensorFlow framework does not support Windows systems. A False > B. True QUESTION No: 146 In the process of training the neural network, we use the gradient descent method to continuously update which Value, which makes the loss Function minimization? © A. Eigenvalues B. Hyperparameter © C. parameter D. Number of samples(QUESTION NO: 146 ‘TensorFiow2.0 middle Keras The three main advantages of the interface are user-friendly, modular and Combination, ‘easy to expand, ALTRUE © BL FALSE ‘QUESTION NO: 147 ‘The constituent elements of the Python identifier include: numbers, letters, and underscores. A False B. True ‘QUESTION No: 148 ‘Atlas 800 Al There are multiple models of servers, of which the one based on the Kunpeng processor platform is? ‘A. Atlas 800 model: 9000 (© BAtlas 200 model: 3000, © ©. Atlas 800 model: 3010, ‘QUESTION NO: 149 Which ofthe following conditions do the randomized trials need to meet? (Multiple Choice) 'A. Thare may be more than Otte possible outcome for each tial. and all possible outcomes ofthe trial can be clarified m advance B. All results of the lest cannot be clarified in advance C.ttean be repeated under the same conditions. D. tls not possible to determine which result will apear before conducting a test. QUESTION No: 160 ‘The Python dictionary Is identified by and the internal data consists of the key and its corresponding value. A False B.Tue