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| Section | Weight | Objectives |
|---|---|---|
| HPE Unstructured Data Solutions | 35% | - Solution sizing and deployment
|
| Data Protection and Security | 20% | - Data protection strategies
|
| Management and Operations | 25% | - Management tools and interfaces
|
| Unstructured Data Fundamentals | 20% | - Characteristics of unstructured data
|
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NEW QUESTION # 18
What is the maximum supported number of clients and filesystems for the HPE Alletra Storage MP X10000 native file service?
Answer: B
Explanation:
The native file service within the HPE Alletra Storage MP X10000 is engineered for massive scale-out parallelism, addressing the demands of large enterprise compute farms, GPU AI training fabrics, and extensive container clusters While legacy midrange NAS controllers saturate when handling thousands of concurrent sessions, the X10000 leverages a disaggregated, stateless compute controller topology capable of servicing up to 10,000 concurrent client connections and supporting up to 10,000 distinct filesystems/exports across the shared NVMe storage fabric. This design point allows hyper-scale analytics and AI workloads to mount shared datasets concurrently without causing metadata bottlenecks, session lockups, or severe I/O degradation.
Reference: HPE Unstructured Data Solutions Study Guide - Module: Native File Architecture, Scalability Limits, and Concurrent Client Sizing.
NEW QUESTION # 19
In the HPE Alletra Storage MP X10000 architecture, what function do the shared Data Service Partitions (DSPs) perform?
Answer: A
Explanation:
The core architectural foundation of the HPE Alletra Storage MP X10000 relies on disaggregated, shared- everything parallelism managed through Data Service Partitions (DSPs) The storage layer abstracts physical NVMe solid-state drives into granular logical units designated as disklets, which are assembled into distributed RAID-protected sets across the JBOFs. DSPs represent sharded, stateless software partitions that map these disklets across all available compute controller nodes. Incoming object data and I/O streams are hashed evenly across all DSPs, effectively spreading read, write, and erasure-coding operations across the entire compute fabric. This design prevents performance hotspots, maximizes parallel NVMe bus bandwidth, and allows DSP ownership to rebalance instantly among surviving controller nodes in the event of hardware failover.
Reference: HPE Unstructured Data Solutions Study Guide - Module: Disaggregated Architecture, Disklets, and Data Service Partitions (DSPs).
NEW QUESTION # 20
On HPE Alletra Storage MP X10000 Release 2, is data immutability achieved through a combination of Object Versioning and Object Locking?
Answer: B
Explanation:
Within the HPE Alletra Storage MP X10000 architecture, enterprise data immutability and compliance governance follow the strict AWS S3 Object Lock standard, which requires Object Versioning as a mandatory prerequisite When a bucket is enabled for immutability, Object Versioning ensures that any overwrite or modification request results in the generation of a new version rather than modifying the existing object state.
Simultaneously, Object Locking applies a cryptographic, policy-defined retention period or legal hold to specific version IDs, actively blocking unauthorized modification, truncation, or deletion from any user, including root administrative accounts. This dual-layer mechanism enforces rigid Write-Once-Read-Many (WORM) storage integrity, providing cyber-resiliency against ransomware attacks and fulfilling regulatory requirements (such as SEC Rule 17a-4).
Reference: HPE Unstructured Data Solutions Study Guide - Module: Security, Compliance, and WORM Immutability via S3 Object Lock.
NEW QUESTION # 21
With HPE GreenLake for File Storage Release 3.3, you can define an Indestructible Object period of one year.
Answer: B
Explanation:
HPE GreenLake for File Storage Release 3.3 incorporates enterprise cyber-resilience features, notably the Indestructible Object (and Indestructible Snapshot) retention mechanism designed to combat malicious encryption and deliberate ransomware deletion Under this security policy, administrators can establish an unalterable retention lock across filesystem snapshots and objects for an operational duration spanning between 1 and 400 calendar days. A retention policy specifying exactly one year equates to 365 days (or 366 days in a leap year), which sits squarely within the architecturally supported 400-day operational ceiling. Once applied, no administrative role, compromised privileged user account, or internal API command can delete or truncate the protected data until the timer has expired, validating the full viability of a one-year retention setting.
Reference: HPE Unstructured Data Solutions Study Guide - Module: HPE GreenLake for File Storage Data Protection and Indestructible Snapshot Retention.
NEW QUESTION # 22
When creating a bucket on the HPE Alletra Storage MP X10000, what is the first step in the process?
Answer: A
Explanation:
Management and provisioning workflows for the HPE Alletra Storage MP X10000 are centralized within the HPE Data Services Cloud Console (DSCC) control plane Because DSCC acts as a unified SaaS management portal overseeing an entire enterprise fleet spanning multiple geographical sites, clusters, and system instances, resource allocation must begin within a defined physical and logical scope. When launching the bucket creation wizard, the administrative workflow enforces establishing the physical target by having the administrator select the specific storage system or system group first. Once the target system context is established, the management plane can validate cluster-level resource quotas, capacity thresholds, and supported capabilities before progressing to assigning the globally unique bucket name, and subsequently configuring advanced data services such as Object Versioning, S3 Object Lock retention, and custom metadata tagging.
Reference: HPE Unstructured Data Solutions Study Guide - Module: DSCC Storage Provisioning Workflows and Object Bucket Configuration.
NEW QUESTION # 23
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