H13-311_V3.5 Exam Questions
368 real H13-311_V3.5 exam questions with expert-verified answers and explanations. Page 3 of 8.
- Question #101
Which of the following is true about unsupervised learning?
- Question #102
Loss function and model function are the same thing.
- Question #103
Gyclic neural networks are more suitable for dealing with image recognition problems.
- Question #104
Which of the following is not MindSpore Features of the core architecture?
- Question #105
Atlas 800 AI There are multiple models of servers, of which the one based on the Kunpeng processor platform is?
- Question #106
As the following, what are the Python language design philosophy? (Multiple Choice)
- Question #107
Tensorflow Operations and Computation Graph are not - run in the Session
- Question #108AI Overview
The meaning of artificial intelligence was first proposed by a scientist in 1950, and at the same time a test model of machine intelligence was proposed Who is this scientist?
AI HistoryTuring TestMachine IntelligenceArtificial Intelligence Foundations - Question #109
Generating a confrontation network is like a game system. The generator generates fake samples, and the discriminator judges whether it is true or false. Our ideal result is?
- Question #110AI Overview
GPU Good at computationally intensive and easy to parallel programs.
GPUparallel computingcomputational intensityhardware acceleration - Question #111
The for loop statement in the Python language can iterate through the items in any sequence.
- Question #112Deep Learning Basics
What are the algorithms supported by Tensorflow? (Multiple Choice}
TensorFlowRNNGNNDeep Learning - Question #113Machine Learning Basics
Which of the following is the computing model of TensorFlow?
TensorFlowComputational GraphMachine Learning FrameworkNeural Networks - Question #114Huawei AI Development Platforms and Solutions
HUAWEI HiAI Empower APP What value?
HiAI EmpowerPlatform FeaturesReal-time ProcessingReliability - Question #115Machine Learning Basics
When we describe the house, we usually use the attributes such as residential area, house type, decoration type, etC. If we use plain With Bayes as a model, we assume that there is...
Naive BayesFeature IndependenceConditional IndependenceClassification - Question #116Deep Learning Basics
Deep learning neural network training requires a lot of matrix calculations. Generally, we need to use hardware to enable the computer to have parallel computing capabilities. The...
GPUParallel ComputingDeep Learning HardwareMatrix Operations - Question #117Huawei AI Development Platforms and Solutions
Huawei AI The full scenarios include public cloud, private cloud, various edge computing, IoT industry terminals, and consumer terminals and other end, edge, and cloud deployment e...
Huawei AI PlatformCloud DeploymentEdge ComputingIoT Integration - Question #118Huawei AI Development Platforms and Solutions
Which of the following options are <Artificial Intelligence Comprehensive Experiment> May be used in calling Huawei cloud services?
Huawei Cloud AuthenticationAPI ParametersCloud Service ConfigurationAccess Credentials - Question #119Deep Learning Basics
TensorFlow2.0 not support tensor in GPU with CPU Transfer between each other.
TensorFlow 2.0GPU/CPU TransferTensor OperationsDevice Management - Question #120Machine Learning Basics
About Bayesian formula- P(WlX)=P(XlW)*P(W)/P(X) What is the correct description?
Bayes' TheoremConditional ProbabilityPosterior ProbabilityPrior Probability - Question #121
TensorFlow2.0 of keras.metrics The methods that are not included in the built-in indicators are?
- Question #122AI Overview
The commonly used functions for mathematical operations in Python are basically in lhe math module and the cmath module.
Python standard librarymath modulecmath modulemathematical operations - Question #123Huawei AI Development Platforms and Solutions
What are the implementation modes ofTensorflow? (Multiple Choice)
TensorFlowImplementation modesDistributed computingDeployment - Question #124Huawei AI Development Platforms and Solutions
Use with Atlas300 (3000) What conditions need to be checked when the accelerator card server compiles and runs the program?
Atlas300 configurationDriver installationCMake compilationEnvironment setup - Question #125Machine Learning Basics
Only matrix A and matrix B have the same number of rows and columns. A and B can be added.
Matrix AdditionMatrix DimensionsLinear AlgebraMathematical Foundations - Question #126Machine Learning Basics
The training error will continue to decrease as the model complexity increases.
model complexitytraining errorbias-variance tradeoffoverfitting - Question #127Huawei AI Development Platforms and Solutions
Which of the following services belong to Huawei EI Service family?
Huawei EI ServicesEnterprise IntelligenceNLPBig Data Analytics - Question #128Deep Learning Basics
What is wrong description or backpropagation?
BackpropagationForward PropagationNeural Network TrainingLearning Algorithm - Question #129
The following about KNN Algorithm k The value description is correct?
- Question #130Huawei AI Development Platforms and Solutions
Which of the following description about Python regular expression is not correct?
Python regexre modulestring processingpattern matching - Question #131
The number of rows and columns of the three matrices A, B. and C is 3 rows and 2 columns, 2 rows. 3 columns. 3 rows and 3 columns. which of the following operations is meaningful?
- Question #132Typical Applications of AI
Which of the following description 1s wrong about the image recognition cloud service?
image recognitionobject detectionscene analysissemantic labeling - Question #133Machine Learning Basics
In random forest, what strategy is used to determine the outcome of the final ensemble model?
Random ForestEnsemble MethodsVotingAveraging - Question #134AI Overview
AI Chip is also called AI Accelerators are specially designed to handle a large number of computing tasks in artificial intelligence applications functional module.
AI AcceleratorsAI ChipsHardware ArchitectureComputing Infrastructure - Question #135Deep Learning Basics
Which is not a deep learning algorithm?
deep learning algorithmssupport vector machineneural networksalgorithm classification - Question #136AI Overview
Computer vision is the study of how to make computers "see".
Computer VisionImage ProcessingAI FundamentalsVisual Perception - Question #137
From the labeled historical data, we can predict that the retail sales of the next quarter will be in 20-30 Wan still 30-40 Ten thousand", What is the problem?
- Question #138
Which of the following is not part of the deep learning development framework?
- Question #139AI Overview
About Python correct tuple, which is correct description? (Multiple choice)
Python tuplesImmutable sequencesData structuresSyntax - Question #140Huawei AI Development Platforms and Solutions
Atlas 200 DK Yiteng 310 The main application of the chip is?
Atlas 200 DKModel InferenceAscend ChipEdge AI - Question #141Typical Applications of AI
Which of the following is not a face recognition technology?
face recognitionfacial analysiscomputer visionAI applications - Question #142Huawei AI Development Platforms and Solutions
An e-commerce company has always had problems with official website stalls, poor utilization of network resources, and difficulty in operation and maintenance. Then which of the fo...
Network optimizationEnterprise Intelligence (EI) servicesCloud resource managementService selection - Question #143Deep Learning Basics
Regarding the convolutional neural network pooling layer, the following description is correct?
Pooling layerDimensionality reductionCNN architecturesMax/Average pooling - Question #144Deep Learning Basics
If the deep learning neural network has the problem of gradient disappearance or gradient explosion, our common solution is.
gradient_problemsactivation_functionsregularizationneural_network_optimization - Question #145Huawei AI Development Platforms and Solutions
Python script execution mode includes interactive mode and script mode
Python execution modesInteractive modeScript modePython fundamentals - Question #146Machine Learning Basics
Principal Component Analysis (PCA) is a statistical method. A set of variables that may be related to each other is transformed into a set of linearly related variables by orthogon...
PCADimensionality ReductionOrthogonal TransformationUnsupervised Learning - Question #147Machine Learning Basics
What are the common types of dirty data?
data qualitydirty data typesdata cleaningdata preprocessing - Question #148
Training error will reduce the accuracy of the model and produce under-fitting. How to improve the model fit? (Multiple choice)
- Question #149Deep Learning Basics
Which of the following is not a way for the TensorFlow program to read data?
TensorFlow data inputdata feedingfile I/Odata loading - Question #150Deep Learning Basics
The following statement about recurrent neural networks is wrong?
Recurrent Neural NetworksLSTMVanishing Gradient ProblemDeep Learning Architecture