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| Section | Objectives |
|---|---|
| Data Protection and Disaster Recovery | - Backup and restore strategies - Snapshot and cloning technologies - Replication (synchronous and asynchronous) |
| Storage Performance and Optimization | - Cache and tiering mechanisms - QoS and workload balancing - Performance monitoring and analysis |
| Storage System Architecture and Fundamentals | - Storage networking concepts (SAN, NAS, DAS) - Huawei OceanStor architecture overview - Storage protocols (FC, iSCSI, NFS, CIFS/SMB) |
| Storage Installation and Configuration | - OceanStor deployment and initialization - LUN creation and mapping - Host connectivity configuration |
| Troubleshooting and Maintenance | - Log analysis and fault isolation - Common storage faults diagnosis - System maintenance and upgrades |
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NEW QUESTION # 23
A customer's initial backup capacity is 1T, and the average daily data increment is 10GB. The backup strategy is to do a full backup once a week, and a differential backup every day from Tuesday to Sunday. The storage period of the full backup and additional backup data is 4 weeks, without considering deduplication/redundancy ratio/replication, etc., please calculate that the required backend capacity should be no less than?
Answer: A
NEW QUESTION # 24
Log in to DME IQ using your Uniportal account and go to the " Performance Bottlenecks " page to view the analysis results. The device list contains the performance bottleneck analysis results of all devices. Which of the following load statuses are included?
Answer: A,C,D
Explanation:
Huawei lists "Performance bottleneck analysis" as one of the major DME IQ intelligent-computing capabilities, together with noisy-neighbor analysis, disk-risk prediction, workload planning, performance- exception detection, and capacity prediction.
DME IQ uses collected performance and configuration data to assess whether storage workloads are operating normally, whether resources are balanced, or whether resource pressure has resulted in overload. Accordingly, the load-status classifications in this interface are Balanced, Overloaded, and Normal.
Optimizable is not one of the load-status values in this classification. Optimization is an O & M action or analytical recommendation rather than the load state assigned to a resource on the Performance Bottlenecks page.
The broader course explains that DME IQ uses cloud-native AI, machine learning, and deep-learning analysis for performance prediction, fault reporting, capacity prediction, risk prediction, and proactive O & M. These capabilities supply the data used by bottleneck analysis.
The retrieved Training/Lab text explicitly documents the Performance Bottleneck Analysis capability, although it does not separately reproduce the UI table containing the three status-label names.
Study Guide Topics: Data Storage Management and O & M # DME IQ # Performance Bottleneck Analysis
# Intelligent Computing # Performance Diagnosis.
NEW QUESTION # 25
The storage device generates a fault alarm. Which of the following methods cannot collect storage system fault information?
Answer: B
NEW QUESTION # 26
OceanStor 18500 uses RAID 2.0 virtualization architecture. When planning and configuring storage, which of the following statements is wrong?
Answer: B
NEW QUESTION # 27
In the disaster recovery solution design, if RPO is less than 5 minutes and RTO is less than 3 minutes, customer data will be lost for at most 3 minutes.
Answer: A
NEW QUESTION # 28
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