HCIP-Storage H13-624_V5.5 Dumps PDF

Copies created using HyperCDP can be used for data analysis and application testing.

When an application server sends a request to write data to the source LUN after a HyperCDP snapshot is created, the storage system uses the copy-on-write (COW) technology to save the new data to a new location in the storage pool and directs the source LUN’s pointer to the new location.

HyperCDP snapshots cannot be directly mapped to hosts. To read data from a HyperCDP snapshot due to actual service requirements, the administrator needs to share the file system with the host so that the host can read the source file system data at the point in time when the HyperCDP snapshot was created.

HyperCDP is a high-density snapshot and requires the system to construct file system objects. Therefore, the system memory usage is high.

During block service installation, if management nodes are deployed where compute and storage nodes are converged, the number of vCPUs on each converged compute and storage node must be greater than or equal to 20.

During block service installation, if converged deployment of storage and compute nodes is required, the difference between the disk quantities on any two nodes in the same storage pool cannot be greater than 2 or 30% of the disk quantity on the node having most disks.

If wizard-based software installation is used, an engineer must manually add nodes, configure networks, and create a control cluster on DeviceManager, and then install the OceanStor Pacific series software.

To install the Distributed Parallel Client (DPC), the memory required for running the DPC software on a compute node must be greater than or equal to 20 GB.

In the information collection phase, the engineer needs to collect basic information about applications and data, such as the impact of application configurations on data, data size, and read/write ratio.

In the test and application phase, the engineer needs to test the configurations to check whether the optimization objective is achieved. If yes, the engineer can put the system into use.

In the optimization analysis phase, the engineer needs to specify the performance optimization objective, find out the performance bottleneck, and identify the parts that play a key role in Improving the system performance.

In the optimization operation phase, the engineer needs to deploy DR for the service system, and needs to modify multiple configuration at a time during the optimization configuration.