AI mock 2 [PDF]

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1, Which of the following is not a lhyperparameer for model trainiing?



QA oatch_si1ze in a t raining neurall netwo rk 0 B_ in K-means @ C_ in the 0Jne-dimeni1sicmall linear mgmssion model Y=wX+ o 0 D_ Number of trees in a random forest Congratula ions, you got it! My Score : 20 Point(s) Cmrect answe r : C



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2, The core of an A l framework and one of the decisive factors of the programming paradigm is the automatic differentiation used by the A l framework. Which of the following is used by MindSpore? A Graph kernel fusion ':' 8- Operator



over1oading @ C. Source to Source (S2S)



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8 O_ Just-in-time compilation



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My Score : 20 Point(s)



Correct answer: C



3, Which of the following statements is true about deep learning? @ A. A lgorihms are used to automa1Jically extract features.



0 B. GPU parallel computing provides faster computing if there are more network parnmeters. 0 C. Parameters at each layer have specific meanings. 0 D. The feature interpretability is strong.



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My Score: 20 Point(s)



Conect answer : A



4, Dirty data refers to data with quality problems. Which of the following statements is false about the data quality?



0 A. Noise: Data contains incorrect records or exceptions. 0 B. Incompleteness : Data lacks attributes or contains some missing values. @ C. Unprocessed: Data for which feature engineering has not been performed.



0 D. Inconsistency : Data contains conflicting records. I



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Correct answer : C



5, Which of the following commands can be executed to use the code of TensorFlow 1.X in TensorFlow 2? @ A import tensorflow compatv1 as tf



0 B. import tensorflowv1 as 1f 0 c_ import !ensorflow as tf 0 D_ import v1 as tf Previous



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Correct answer: A



6, Which of the following statements is true about the low-latency design of CPUs? '.) A. The low clock frequency reduces the latency



0 B_ Complex logic control units increase the latency 0 c_ CPU is equipped with few ALUs and caches_ The caches merge access requests to the same data and then access the DRAM, reducing the latency_ @ D. The powerful ALU can complete the computation in a short clock cycle



I O Congratulations, you got rt! Previous



7



My Score: 20 Point(s)



Correct answer : D



Which of the following oommands is used to install TensorF low?



0 A. conda crnate install tensorflow 0 B. python tensorflow setup_ py 0 C_ conda setup_ py tensortilow @ D. pip iinstalll te11so1rflow



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My Score: 20 Point(s)



Cmrect answer : D



8 Which of the following statements is false about machine learning?



0 A_ Model generalization capability: tne extent to which a learned model can oe applied h @ B. Error: differnnce between the prndiction of a learned model on a sample and tne actu



0 c_ UndmTiitting: Tne training mror is large_ 0 D_ Overfirtting: Tne training error is l.mge_ Previous



OWrong answer



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Conect answer : D



9, Which of the following is a lightweight and high-performance service module that helps MindSpore developers efficiently deploy online inference services environments?



0 A MindlR @ B. MindSpore Serving



0 C M1ndArmour 0 D. Mindlnsight I



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O Congratulations , you got it! My Score: 20 Pmnt(s) Correct answer : B 1O, Which of the following functions is used in HUAWEI CLOUD General Text OCR experiments? @ A. ocr_client.request_ocr_service_base64 () 6- ocr_clientocr_service_base64 0 C. ocr_client.request_ base64 0 D. ocr.request_ocr_service_basel28 Previous



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Correct answer : A



11, concat_sample_ 1 = tf.random.no rma1([4 ,100,100,3])
concat_sample_2 = tf.random.norma1([ 40 ,100,100,3])
concated_sample_ 1 = tf .concat([concat _sample_ 1,concat_sample_ 2],axis=O)print (concated_sample_ 1.shape)Which of the following is the output for this code?



0 A. (44,200,200,6) @ B (44 ,100,100,3)



0c



(40,100,100,6)



0 D (44,100,100,6)



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Correct answer: B



12, Which of the following HUAWEI CLOUD services is NOT a basic Al platform serv



0 A. ModelArts 0 B. Huawei Hi ens



@ C. Relational Database Service (RDS)



0 D. Graph Engine Service {GES) Previous



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Cmrect answer: C



14, Which of the following is not a. network opera.tor in MindSpore?



0 A. Conv2D 0 B. SGD



@ C. ControlDepend 0 D_ Softmax



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My Score: 20 Point(s)



Correct answer : C



13, Which of the following is NOT an .application of speech processing?



0 A Speech recognition 0 B. Text to speech



Q C_ Voiceprint recognition



@ D. Named entity rncognirtion



eCongratulafons, you got ru Previous



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Correct answer : D



15, Intelligent quality inspection is based on the cloud-edge-device synergy of deep learning algorithms. Which of the follow ing operations is performed on edge devi< @ A Model !raining B. Data labeling



-=: C. Model delivery D_ Onsite inference



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0Wrong answer



My Score : 0 Point(s}



Correct answer : D



16, Which of the following statements is false about the ReLU function? A The ReLU function is not differentiable at x = 0 and a derivative is forcibly defined at this point 1



B. The ReLU function effectively alleviates the vanishing gradient problem.



'.J C_ The surface defined at the zero point of the ReLU function is not smooth enough in some regression probl



=1 D_



Compared with Sigmoid and tanh, the convergence of the ReLU function is slow.



Previous



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Correct answer : [)



17 , Which of the following is the purpose of running ocr_ client = HWOcrClientAKSK (ak, sk, region) when using HUAWEI CLOU @ A Initialize the client



0 B_ Transfer images for recognition 0 C Delete image data 0 D Encode image data Previous I O Congratulations, you got m My Score: 20 Point(s)



Correct answer : A



18 Which of the following is a method of compressing an Al model? @ A. Low rank approximation



0 B. Network integration



Q C_ Data a1.1gmeritation Q D_ Data volume mduction Previous



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Correct answer : A



My Score: 20 Point(s)



Correct answer : AD



19 Which of the followi ng cells are predefined in MindSpore?



IIA. MAELoss



0 B_ TFRecord



D c_ cos IID. WithGrad Cell Previous



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20 Which of the following are major advantages of Keras?



IIA. Easy to use D 8- Low-level coding style IIC. Modular and combinab le IID. Easy to scale Previous



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Correct answer : ACD



21, Which of the following statements are true about grid search based on hyperparameter tuning?



Iii A Grid search exhaustive ly searches for all possible hyperparameter combinations to form a hyperparameter value grid Iii B. Grid search is expens ive and time-consuming_ Iii C Grid search works well when there are relatively few hyperparameters 0 D_ Grid search suits neural networks well. I



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My Score: 20 Point(s)



Correct answer : ABC



22, Which of the following methods provided by TensorFlow 2.0 cannot be used to check whether an object is a tensor?



0 A is_ tensor l!I B. isinstance l!I C device l!I D. tflypes I



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Correct answer: BCD



23 Which of the following are supported by data management on ModelArts?



IIA. wide rrang,e of data fmmats IIB. Team labeling IIC. lrntelligent data filltering D D_ Automatic data mig ratiori Previous



•Corigra ulations, you got itJ My Score: 20 Point(s) Coned answer : ABC 24, In TensorFlow 2..0, which of the following cannot be used to create an all-zero tensor?



IIA. tf zeros() IIB. tffill([1J,O) IIC. tf.zeros_frame()



D D. tf.zems_tuple{) Previous



O Wrong answer



My Score : O Point(s)



Conect answer : CD



25, Which of the following statements are true about hidden layers?



IIA. The more hidden layers, tile stronger the identi1iicatio11 capability_ D B. The mme hidden layers, the better. IIC. Exoessive hidde11 layers may ca 1.1se ovm1iitting. D D. llnsuftiicient hidden layers may cause overfitting_ Previous



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Correct answer : AC



26, Which of the following statements are false about GANs?



llA. The discr iminator input is mainly noise and real sample data D B. GANs me a type of framework . They train the generator and discriminator through an adversar ial process D C. GANs are trained using the BP algorithm ll D_ The input of the discriminator is mainly sample data provided by the generator. Previous



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My Score: 20 Point(s)



Correct answer: AD



27, Which of the following statements are true about decision trees?



0 A. decision tree is a binary tree structure Bl B Each non-leaf node in a decision tree represents a test on a feature attribute; each branch represents the output of the feature attribute class label.



0 C. Except the root node, all nodes in a decision tree are called leaf nodes. Bl D_ Building a decision tree means selecting and measuring feature attributes and determining their topology_ I -



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Correct answer: BO



28, Which of the following are part of the Huawei full-stack Al solution? Iii A. TBE



D B. open Euler Iii C. AscendCL Iii D. Ascend Previous



•Congratulations, you got itJ My Score: 20 Point(s) Correct: answer : ACD 29, Which of the following products can be equipped with Ascend 31O Processors?



IIA. Atlas 200 DK Al developer kit IIB. Atlas 500 Al edge station IIC Atlas 200 Al acceleratm module IID. Atlas 300 Al acceleratm card Previous



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My Score: 20 Point(s)



Coned answer : ABCD



30, Which of the following statements are true about data preprocessing?



l!I A. Data cleansing is a process of fi lling in missing values , as well as detecting and eliminating noise data and exceptions_ l!I B. Data dimension reduction is to prevent dimension explosion by deleting data features D c_ Data standardization is to reduce noise data and improve model accuracy D D_ Mad1ine learning outputs results through models_ Therefore , model training is more important than data prepmcessing Previous



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OWrong answer



My Score : 0 Point(s) Correct answer : AC 31, Which of the following statements are true about data conversion?



r.11 A Image data processing, such as color space conversion, grayscale image conversion , and geometric conversion, 1s a part of data conversion. r.11 B I n machine learning, features are often normalized to ensure that the value ranges of different variables input to the same model are the same 0 C_ When the data dimension is high, the existing variables need to be combined or converted to generate new features , such as averages _ 0 D_ All data needs to be converted. Previous



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8Congratulations, you got it! My Score: 20 Point(s) Correct answer : AB 32, Which of the following are common ensemble learning algorithms in machine learning? l!I A. Ra11dom forest



l!I B. GBDT D C. Polynomial regression 1,11 D. Adaboost I



Previous



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Correct answer: AIBD



33, Which of the following are common tensor operations in MindSpore? LI A. otypeO LI B. astype() LI C. swirtcil() LI D. abs() Previous



0Wmng answer



My Score : 0 Point(s)



Correct answer : ABD



34, Which of the following statements are true about linear regression?



l!I A The error of linear regression is affected by many independent factors . According to the central l1m1t theorem (CLT), the error follows normal distnbution. l!I B The loss function of linear regression can be obtained using the normal distribution function and maximum likelihood estimation (MLE)



0 C.The result of multivariate linear regression analysis may be a hyperplane in a high-dimensional space. l!I D. Due to algorithm complexity, linear regression cannot use the gradient descent method to calculate the weight parameter if the loss function reaches the minimum value. Previous



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My Score : 0 Pomt(s)



Correct answer: ABC



35, AIR eliminates model differences between different backends through unified operator IR definitions. You can coordinate tasks on all platforms (device, edge, and cloud) based on the same model file . @ True () False Previous



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Correct answer : True



36 The XOR. problem can be solved by using the deep neural network. @ Trne



0 False



Previous



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My Score: 10 Point(s)



Correct answer : True



37, One of the filter methods is using the Chi-Squared test to analyze the mapping between features and labels to implement feature selection. @ True



0 False Previous



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My Score: 10 Point(s)



Correct answer: True



38, The dropout echnology can be used only during Al model training.



0 Triue



@ False Previous



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Cmrect answer : False



39 , Filter methods for feature selection are restricted they do not tend to select redundant variables because they consider the relationships between features.



0 True @ False I



Pre¥ious



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Correct answer : False



40, All neurons on the same layer in a recurrent neural network share weights (U, V, and W)..



0 True



@ False Previous



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Correct answer : True



41, MindSpore can be quickly deployed on the cloud and edge , improving resource utilization and privacy protection, and helping developers focus on Al apps. Due to size of the model, MindSpore cannot be deployed on mobile phones. ':' True @ False



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Previous



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OCongralulal10ns, you got rt•



My Score: 10 Point(s)



Correct answer : False



42, In a convolutional neural network , the size of each kernel is not necessarily the same as that of a pooling layer w indow, but their steps should be the same.



8 True @ False



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O Congratulations, you got ! My Score: 10 Poinl(s) Correct answer: False 43, MindSpore accelerates model convergence through automatic parallelism and second-order optimization. @ True



0 False Previous



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Cmrect answer: True



My Score: 1O Point(s)



44 , A decision tree selects a label from features of the training data to work as the node splitt ing standard. Different label selection standards generate different decisi\ tree algorithms. True False Previous



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My Score: 10 Point(s)



Correct answer: False



45... Federated learning can protect user privacy to some extent. @ True 0 False



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Cmrect answer : True



46, MindSpore supports automatic graph splitting, which splits graphs based on the input and output data dimensions of the operators and integrates data parallelism tensor parallelism, and model parallelism. True False



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GCongratulations, you got it!



My Score: 10 Point(s)



Correct answer : False



47, The added cost of L1 regularization is proportional to the absolute value of the weight coefficient. @ True



0 False Previous



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Correct answer : True



48, Poisson distribution is generally regarded as the common distribution of errors in linear regression.



0 True



@ False Previous



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My Score: 10 Point(s)



Correct answer: False



49, Although each industry and application Faces unique challenges , they are all gradually adopt ing Al-based workflows and solutions . @ True



0 False I Previous I -



8Congratulations, you got it! My Score: 10 Point(s) Correct answer : True 50, Boosting independently builds multiple basic learners and then averages their p1ed ictio111s. @ Tme



0 False Previous



OWrong answer



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Correct answer : False



51, In actual data processing, there are multiple trained models available so that you can choose the opt imal one. @ True



0 False Previous



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Correct answer: True



52, As the cornerstone of the Huawei full-stack all-scenario Al solution, Atlas provides modules, cards, and servers powered by Kunpeng Al processors to meet derr for computing power in all scenarios. ) True @ False



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Previous



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Correct answer : False



53., TensorFlow .2 .x is oompatib le with all l7ensorFlow 1..x modules .. @ Trne



0 False Previous



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Coned a11swer : False



54, Object Storage Service (OBS) can be widely used in scenarios with abundant relational data such as social apps, enterprise relationsh ip analysis, knowledge gra risk control, and recommendations. @ True



0 False I



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0Wrong answer



My Score 0 Point(s)



Correct answer : False



55, The average value of tensors generated using tf.random.normal([4], 2 , 1, tf.float32) is (). (Fill in the blank w it h a number.) 2 Correct answer : 2 Previous



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56 Tensor [[[2J3]]] is a/an ()-dimensional tensor. (Fill in the blank with a number.) thrne Corrnct answer : 3 1



Previous



8Wrona answer



Mv Score : 0 Point(s)



57 , mindspore .ops.GradOperation is the first-order derivative method in MindSpore to compute gradients. It contains multiple parameters. When get_all is set to (), th1 derivatives of all parameters are computed. 1



True



Correct answer· True



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I ,Pre,ious I built an open smart ecosystem based on the (), device, chip" three-layered open architecture. It enables developers to quickly utilize Huawei'sl 58 HUAWE I HiAI powerful A l processing capabilities to provide a better smart application experience for users. 1



cloud



Correct answer : Cloud,cloud;CLOUD



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59, Assume that there are 10,000 data pieces in a cancer data sample, of which 100 pieces are from cancer patients, and the other 9900 pieces are normal. If a I Previous I classification model predicts that 9000 out of the 9900 pieces are normal, and 90 out of the 100 pieces are from cancer patients, the accuracy rate of the model is false Garred answer: 90 9        Pre11ious       



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My Score : O Point(s)



60, In TensorFlow 2.0, if tf .keras.layers. RNN is used to process timing information and you want to obtain the output status at each moment, set () to True. return_sequence Corred answer : return_sequence Pre1.1ious



O Congratulations, you got it!



My Score: 20 Point(s)



e data quality?



in TensorFlow 2?



DRAM, reducing the latency_



y online inference services



ated_sample_ 1 =



e output for this code?



atform service?



gression problems _



HUAWEI CLOUD OCR?



n object is a tensor?



ar ial process.



utput of the feature attribute



art of data conversion.



e model are the same



ches the minimum value.



al network.



er : True



lationships between features.



V, and W)..



-order optimization.



te different decisi\ tree algorithms.



wer : True



ar regression.



orkflows and solutions .



p1ed ictio111s.



e opt imal one.



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