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| Section | Objectives |
|---|---|
| Management, Monitoring and Reporting | - Storage administration
|
| HPE Data Protection Solutions | - Backup and recovery
|
| Partner Data Protection Software and Services | - Third-party integrations
|
| HPE Hyperconverged Solutions | - Hyperconverged infrastructure
|
| Upgrading, Optimizing and Tuning Storage Solutions | - Lifecycle management
|
| Networking Elements of an HPE Storage Solution | - Storage networking
|
| HPE Block Storage Solutions | - Enterprise storage platforms
|
| HPE Storage Solutions, Architectures and Technologies | - Storage architectures and deployment models
|
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NEW QUESTION # 67
A Data Protection Specialist is configuring a data lifecycle policy for an S3-compatible object storage bucket on an HPE Alletra Storage MP array. The bucket hosts highly volatile document revisions.
[Proposed S3 Lifecycle Configuration]
Bucket: Marketing_Assets
Versioning: Enabled
Rule 1: Transition current versions to 'Cold_Archive_Tier' after 30 days.
Rule 2: Transition non-current versions to 'Cold_Archive_Tier' after 7 days.
Rule 3: Permanently delete non-current versions after 90 days.
Rule 4: Permanently delete Delete Markers after 120 days.
Which TWO statements accurately describe the operational and financial outcomes of implementing this specific lifecycle policy? (Choose 2.)
Answer: A,B
NEW QUESTION # 68
Which statement is correct regarding a multi-chassis non-switched HPE Alletra Storage MP solution?
Answer: D
Explanation:
In a multi-chassis switchless HPE Alletra Storage MP configuration, RAID protection placement should be evaluated in terms of enclosure failure domains, not only individual SSDs. ArcusOS supports disk and cage availability policies. The HA cage approach distributes RAID members to prevent an enclosure loss from removing too many members of a protected set. HPE ' s detailed curriculum describes a particularly restrictive placement method under which two members of one RAID set should not share a cage. This satisfies the looser claim that no more than two share the enclosure. The statement that every capacity upgrade requires a minimum of eight additional drives is not generally correct, and the automatic versus manual configurations of HA cage and RAID geometry depend on specific shelf counts and software defaults. As a design task, the architect must validate the proposed RAID 6 geometry, number of physical cages, and available placement domains before selecting a policy. Option D is the compatible choice in the supplied examination context, although its wording is less precise than the full availability rule.
Study Guide Reference: HPE Alletra MP HA cage, HA disk, RAID placement and failure domains.
Official reference(s): B10000 architecture
NEW QUESTION # 69
Which HPE Alletra 9000 CLI command can a customer use on an existing data set to determine if it is a candidate for deduplication and/or compression?
Answer: D
Explanation:
The checkvv command in the HPE Alletra 9000 command-line environment supports analysis of virtual volumes for potential compression and deduplication efficiency. With the documented dry-run options, an administrator can estimate savings from enabling one or both data-reduction mechanisms on an existing dataset without immediately converting that volume. The process is useful where input data characteristics are uncertain: already-compressed, encrypted, or effectively random information often produces less savings than a redundant application dataset. Relevant dry-run variants are associated with deduplication, compression, and their combined evaluation; background task information can be examined to interpret results.
servicefilesystem belongs to service-level filesystem operations, compactcpg compacts Common Provisioning Group resources, and tunesys supports system tuning. The candidate decision should also account for CPU resource headroom, workload latency, and any product-specific eligibility requirements. A favorable estimated reduction does not automatically justify a change unless operational performance and protection constraints remain acceptable. Analysis tasks should be reviewed for completion and expected workload impact before configuration changes.
Study Guide Reference: HPE Alletra 9000 CLI, checkvv, deduplication and compression evaluation.
Official reference(s): HPE Storage Solutions course
NEW QUESTION # 70
When examining the latency analysis information in HPE GreenLake Data Ops Manager, what will help a customer determine what might be causing latency issues?
Answer: B
Explanation:
Latency hotspot analysis identifies volumes or related storage objects that consistently display abnormal response times compared with comparable objects. In HPE GreenLake Data Ops Manager, hotspot visualizations help administrators isolate elevated latency within a selected observation period and distinguish recurring outliers from system-wide averages. This is valuable because averages can conceal short periods of severe degradation. A repeated hotspot may indicate queueing, workload contention, limited performance headroom, or an upstream host or networking problem. It is an investigation signal rather than proof of a single bottleneck. Workload drift describes changing I/O behavior, not necessarily the movement of a volume within a datastore. Lengthening time aggregation can sometimes obscure intermittent latency events. Simply knowing that averaging loses detail does not identify the specific Data Ops Manager diagnostic tool. The recommended practice is to inspect hotspots alongside reads, writes, throughput, IOPS, time of day and host metrics. Correlating these measurements supports a defensible diagnosis rather than attributing every delay to the array.
Study Guide Reference: Data Ops Manager latency hotspots, workload outliers and diagnostics.
Official reference(s): Workload Planner documentation
NEW QUESTION # 71
A customer plans to consolidate Oracle RAC, SAP HANA, VMware production workloads, VDI infrastructure, and development environments onto a single HPE Alletra Storage MP platform.
Business Requirement:
"No development activity should ever impact production application performance." Which THREE architectural controls most directly support this objective? (Choose 3.)
Answer: A,B,E
NEW QUESTION # 72
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