A.Accelerate remote data reading for Al training jobs, reduce GPU/CPU waiting time

B.Supports preload once, read by many jobs

C.Supports Horizontal scaling

D.Multiple cache layers including RAM/SSD/HDD

E.Supports different storage backends including OSS/HDFS/NAS

A.Supports continuous training pipelines with composable workflow

B.All resources are free

C.Supports heterogeneous resource management, including management of GPU, FPGA, and RDMA-enabled resources

D.Scales out to hundreds of nodes to support AI/ML model training

A.Design Thinking, Backlog, User Story Mapping, Epic, List of Microservices

B.Code Repository, Build + Unit Test+Code Quality, Test Script.Test Suite, Provisioning to Containers, deploy as Microservlces

C.Requirement of Gathering and analysis as well as modular System Design per module, and then deploy applications to Cloud Provider

D.Requirement Gathering and analysis, System Design, Implementation, Integration and Testing, Deployment of system, Maintenance

A.Application monitoring

B.Kubernetes Security

C.Kubernetes monitoring

D.Application management

A.True

B.False