Free ACA-CloudNative – ACA Cloud Native Certification Exam Practice Test Question

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  Application monitoring

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  Kubernetes monitoring

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  Kubernetes Security

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  Application management
  
  
  

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  Al ML job lifecycle management

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  Optimized scheduler for AI/ML jobs

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  Unified heterogeneous resources management

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  Accelerate computation with distributed data cache

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  Auto Scaling

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  GPU monitoring and problem detection

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  Cost management
  
  
  

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  Help Charts are declarative but not procedural

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  Helm Charts can achieve "immutable infrastructure"

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  Helm Charts make it easy to install Kubernetes objects, such as ConfigMap, Services, Pods, etc.

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  Help Charts make it easy to achieve CD (continuous deployment) for applications
  
  
  

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  Composable workflow, support continuous training pipelines,

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  Scale out training out to hundreds of nodes

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  Support heterogeneous resources management, such as GPU, FPGA, RDMA.

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  All resources are free
  
  
  

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  Standard managed cluster

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  Heteroneneous Compute Cluster(GPU)

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  Elastic Bare Metal Cluster(Bare-metal)

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  Edge Computing

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  Windows

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  E-MapReduce
  
  
  

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  Because it will accelerate the speed of communication between each node

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  Because it will improve the performance of an ML job

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  Because it will save costs
  
  
  

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  That will accelerate speed communication between each node

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  That will improve performance under ML job

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  That will saving cost
  
  
  

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  ECS

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  ECI
  
  
  

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  True

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  False
  
  
  

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  True

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  False