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| Section | Weight | Objectives |
|---|---|---|
| HPE Storage Products, Features, and Capabilities | 20% | - HPE 3PAR storage systems - HPE Nimble storage architecture and features - HPE GreenLake for storage services - HPE MSA storage arrays - HPE Alletra storage portfolio (5000, 6000, 9000) |
| Foundational Storage Architectures and Technologies | 15% | - Differentiate between SAN, NAS, and object storage - Understand RAID levels, tiering, and replication strategies - Storage networking fundamentals (FC, iSCSI, NFS, SMB) |
| Storage Solution Planning and Design | 20% | - Performance goals and business objectives alignment - Evaluate workload requirements and capacity forecasts - Budget constraints and solution sizing |
| Performance Tuning and Optimization | 15% | - Performance monitoring and baselines - Data placement optimization - Throughput improvement and latency reduction - Cache settings and load balancing |
| Installing, Configuring, and Upgrading HPE Storage Solutions | 12% | - Replication configuration (synchronous/asynchronous) - Storage pool and disk group initialization - Volume/LUN creation and host configuration - Hardware setup and initial configuration - Firmware updates and upgrades |
| Troubleshooting and Managing HPE Storage Solutions | 18% | - Non-disruptive upgrades and patching - Cross-stack analytics for VMware environments - HPE Data Services Cloud Console management - Storage connectivity troubleshooting - Performance dashboard interpretation - HPE InfoSight predictive analytics |
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NEW QUESTION # 94
Select the correct description of RTO.
Answer: C
Explanation:
Recovery Time Objective (RTO) refers to the maximum amount of time that is allowed to elapse before the recovery of application processing is completed after a disaster or failure occurs. This metric is crucial for business continuity planning as it defines the acceptable downtime that the business can tolerate before the system is back online and fully functional. For example, if an RTO is set to 2 hours, the business must ensure that the affected systems are restored and operational within that timeframe.
NEW QUESTION # 95
What is the maximum number of SSDs supported by an HPE Alletra Storage MP B10120 system running OS version 10.4.2?
Answer: B
Explanation:
The HPE Alletra Storage MP B10120 system running OS version 10.4.2 supports a maximum of
48 SSDs, enabling scalable performance and capacity.
NEW QUESTION # 96
Exhibit:
The customer has upgraded the first of their two HPE StoreServ 8200to the latest inform OS storage configuration to support oracle database volume to utilize HPE 3PAR compression .
Based on the analysis of the array .what would be your suggestion to implement the requested change?
Answer: D
NEW QUESTION # 97
Which feature allows HPE Primera, HPE Nimble, and HPE XP arrays to work with third-party management tools?
Answer: B
Explanation:
The REST API (Option A) is a critical feature that allows HPE Primera, HPE Nimble, and HPE XP arrays to work with third-party management tools. REST APIs provide a standardized interface for programmatically accessing and controlling the storage arrays. This enables integration with various management platforms, automation scripts, and orchestration tools, allowing for greater flexibility and streamlined management in diverse IT environments.
By using REST API, organizations can integrate their HPE storage systems with existing management frameworks, ensuring a cohesive and efficient infrastructure management approach.
References:
* HPE REST API for Storage
* HPE Storage Management
NEW QUESTION # 98
A solution architect is sizing the required capacity for an HPE Alletra 9000. Customer requirements include:
- 100TB base volumes
- 168 snapshots a week
- 15% daily change rate
How much capacity is needed for snapshots after one week?
Answer: B
Explanation:
To calculate the required capacity for snapshots after one week for an HPE Alletra 9000, we start by understanding the customer's requirements:
Base volume size: 100TB
Snapshots: 168 snapshots per week
Daily change rate: 15%
The snapshot capacity requirement can be calculated by taking 15% of the base volume size per day, and multiplying it by the number of days (7 days in a week) and the number of snapshots per day. Daily change: 15% of 100TB = 15TBTotal change over a week: 15TB * 7 days = 105TB Thus, the capacity needed for snapshots after one week is 105TB.
NEW QUESTION # 99
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