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Refer to the exhibit.
The customer wants to add an additional 10 TB of test/dev workload to this array.
What should the SE recommend?
A. Upgrade the controller to an //X90R3 to handle the additional workload.
B. The workload can be added, but the admin should continue monitoring performance and capacity.
C. Upgrade the 22 TB DirectFlash NVMe modules to a higher capacity to handle the additional workload.
D. Add more DirectFlash NVMe modules to the expansion shelf to handle the additional capacity.
Answer: B
Explanation:
SE should recommend adding the 10 TB test/dev workload to the array while advising the admin to monitor performance and capacity. This recommendation assumes that the array has sufficient resources (e.g., available capacity, performance headroom) to handle the additional workload without requiring immediate upgrades or changes.
Why This Matters:
Current Array Capacity and Performance:
Pure Storage FlashArray is designed to efficiently handle workloads with advanced data reduction techniques (deduplication, compression, etc.) and high-performance NVMe storage.
If the array has sufficient unused capacity and performance headroom, adding a 10 TB test/dev workload is feasible without requiring hardware upgrades.
Monitoring:
After adding the workload, it is critical to monitor both performance metrics (e.g., latency, IOPS, throughput) and capacity utilization to ensure the array continues to meet SLAs and does not exceed its limits.
Why Not the Other Options?
A). Upgrade the controller to an //X90R3 to handle the additional workload:
Upgrading the controller is unnecessary unless the current controller is nearing its performance limits. Test/dev workloads are typically less demanding than production workloads, so this step would likely be premature.
B). Add more DirectFlash NVMe modules to the expansion shelf to handle the additional capacity:
Adding more NVMe modules is only necessary if the array is running out of physical capacity. If the array already has sufficient capacity, this step is not required.
C). Upgrade the 22 TB DirectFlash NVMe modules to a higher capacity to handle the additional workload:
Upgrading the NVMe modules to higher-capacity ones is a significant investment and is only justified if the array is consistently running out of capacity. For a 10 TB workload, this step is likely excessive.
Key Points:
Feasibility of Adding Workload: The array can likely handle the additional 10 TB workload without immediate upgrades.
Monitoring: Continuous monitoring ensures that performance and capacity remain within acceptable limits.
Cost Efficiency: Avoiding unnecessary upgrades or changes helps optimize costs while meeting the customer's needs.
Reference: Pure Storage FlashArray Documentation: "Capacity Planning and Workload Sizing" Pure Storage Whitepaper: "Best Practices for Managing Test/Dev Workloads" Pure Storage Knowledge Base: "Adding Workloads to FlashArray Without Disruption"
NEW QUESTION # 36
A manufacturing customer is running Oracle volumes on their existing //X90R3 array and would like to use FlashArray for their Windows file shares. They are asking if it is feasible to do this.
How should the SE respond?
A. The customer should migrate their Windows file servers to Pure.
B. The customer needs to upgrade to XL to be able to use FA File.
C. The customer should be able to use their current FlashArray.
Answer: C
Explanation:
The SE should respond that the customer can use their current FlashArray for Windows file shares alongside their existing Oracle workloads. Pure Storage FlashArray is a versatile platform capable of supporting multiple workloads, including block storage for databases (e.g., Oracle) and file services for Windows file shares.
Why This Matters:
FlashArray Versatility:
Pure Storage FlashArray supports both block and file workloads through its integrated architecture. While FlashArray is primarily known for block storage, it can also support file workloads using FA File Services, which provides NFS and SMB protocols for file sharing.
The customer does not need to migrate their Windows file servers or upgrade their hardware unless there are specific capacity or performance constraints.
Current Array Feasibility:
Assuming the existing //X90R3 array has sufficient capacity and performance headroom, it can handle the additional workload without requiring upgrades.
Why Not the Other Options?
A). The customer should migrate their Windows file servers to Pure:
While migrating file servers to Pure Storage can provide benefits like simplified management and improved performance, it is not a requirement. The customer can continue using their existing file servers while leveraging FlashArray for block storage.
B). The customer needs to upgrade to XL to be able to use FA File:
Upgrading to a higher-end model like FlashArray//XL is unnecessary unless the current array lacks the required capacity or performance for the additional workload. The //X90R3 is fully capable of supporting FA File Services.
Key Points:
Versatility: FlashArray can support both block and file workloads simultaneously.
No Immediate Upgrades Needed: The current array can likely handle the additional workload without requiring hardware changes.
Workload Consolidation: Using a single platform for multiple workloads simplifies infrastructure and reduces costs.
Reference: Pure Storage FlashArray Documentation: "FA File Services Overview" Pure Storage Whitepaper: "Consolidating Workloads on FlashArray" Pure Storage Knowledge Base: "Supporting Multiple Workloads with FlashArray"
NEW QUESTION # 37
What is the return window as defined by the Love Your Storage Guarantee?
A. 90 days
B. 15 days
C. 60 days
D. 30 days
Answer: D
Explanation:
The return window as defined by the Love Your Storage Guarantee is 30 days.
Why This Matters:
Love Your Storage Guarantee:
This guarantee allows customers to return or exchange hardware components (e.g., controllers) within a specified return window if they do not meet their needs.
The 30-day return window ensures customers have sufficient time to evaluate the hardware and make adjustments as needed.
Why Not the Other Options?
A). 15 days:
A 15-day return window would be too short for most customers to fully evaluate their hardware and make informed decisions.
C). 60 days:
While 60 days is longer, it exceeds the standard return window defined by Pure Storage for the Love Your Storage Guarantee.
D). 90 days:
A 90-day return window is significantly longer than the standard 30-day period and is not aligned with Pure Storage's policies.
Key Points:
30-Day Return Window: Provides customers with ample time to evaluate hardware components.
Customer-Centric Approach: Reflects Pure Storage's commitment to ensuring customer satisfaction.
Policy Compliance: Ensures alignment with Pure Storage's official return policies.
Reference: Pure Storage Evergreen//Forever Documentation: "Love Your Storage Guarantee Terms and Conditions" Pure Storage Knowledge Base: "Understanding the Love Your Storage Return Policy"
NEW QUESTION # 38
A customer notices a low data reduction ratio upon initial data ingest.
Which Purity data reduction technique will help increase the data reduction ratio over time?
A. Capacity consolidation and cloning
B. RAID-HA protection and AES-256 encryption
C. Snapshot cleanup and garbage collection
D. Deep deduplication and deep compression
Answer: D
Explanation:
If a customer notices a low data reduction ratio upon initial data ingest, the Purity data reduction technique that will help increase the data reduction ratio over time is deep deduplication and deep compression.
Why This Matters:
Deep Deduplication and Deep Compression:
Purity//FA (the operating system for FlashArray) applies deduplication to eliminate duplicate data blocks and compression to reduce the size of unique data blocks.
These techniques are applied continuously as new data is written to the array. Over time, as more data is ingested and patterns emerge, the effectiveness of deduplication and compression increases, leading to a higher data reduction ratio.
For example, deduplication becomes more effective as the dataset grows and more duplicates are identified. Similarly, compression benefits from identifying repetitive patterns in larger datasets.
Why Not the Other Options?
B). Snapshot cleanup and garbage collection:
Snapshot cleanup and garbage collection are maintenance processes that reclaim space from deleted snapshots or unused data blocks. While these processes free up space, they do not directly contribute to increasing the data reduction ratio.
C). Capacity consolidation and cloning:
Capacity consolidation refers to combining workloads onto fewer arrays, and cloning creates space-efficient copies of volumes. While cloning leverages data reduction techniques, it does not inherently improve the overall data reduction ratio for existing data.
D). RAID-HA protection and AES-256 encryption:
RAID-HA (high availability) ensures data redundancy, and AES-256 encryption secures data. Neither of these features impacts the data reduction ratio.
Key Points:
Deep Deduplication and Compression: Continuously optimize storage efficiency as more data is ingested.
Data Reduction Ratio: Improves over time as deduplication identifies duplicates and compression reduces unique data.
Purity//FA Automation: These techniques are fully automated and do not require manual intervention.
Reference: Pure Storage FlashArray Documentation: "Understanding Data Reduction in Purity//FA" Pure Storage Whitepaper: "Maximizing Data Reduction with FlashArray" Pure Storage Knowledge Base: "How Deduplication and Compression Work in FlashArray"
NEW QUESTION # 39
A potential customer has a use case where they need to use a stretched cluster for high availability and also require a third copy of their data in a remote geographic location.
Which replication method should be recommended?
A. ActiveCluster with asychronous snapshot replication
B. ActiveDR with periodic snapshot replication
C. Fan-out asynchronous snapshot replication
D. CloudSnap to an offload target
Answer: A
Explanation:
The customer requires a storage solution that supports a stretched cluster for high availability and also maintains a third copy of their data in a remote geographic location. The best replication method to recommend is ActiveCluster with asynchronous snapshot replication.
Why This Matters:
ActiveCluster:
ActiveCluster provides synchronous replication between two sites within a stretched cluster, ensuring zero RPO and near-zero RTO for high availability.
It is ideal for scenarios where applications require continuous access to data across two locations.
Asynchronous Snapshot Replication:
Asynchronous replication extends the disaster recovery strategy by replicating snapshots to a third site. This ensures an additional layer of protection against regional failures.
Why Not the Other Options?
A). CloudSnap to an offload target:
CloudSnap is used to offload snapshots to cloud storage (e.g., AWS S3 or Azure Blob). While it satisfies the requirement for a third copy, it does not integrate with ActiveCluster for high availability in a stretched cluster.
B). Fan-out asynchronous snapshot replication:
Fan-out replication involves sending snapshots to multiple targets asynchronously. However, it does not provide the synchronous replication required for a stretched cluster.
C). ActiveDR with periodic snapshot replication:
ActiveDR is designed for asynchronous replication and failover/failback scenarios but does not support synchronous replication for a stretched cluster.
Key Points:
ActiveCluster: Ensures high availability with synchronous replication in a stretched cluster.
Async Replication: Adds a third-site replication target for comprehensive disaster recovery.
Integrated Solution: Combines high availability and disaster recovery into a single architecture.
Reference: Pure Storage FlashArray Documentation: "ActiveCluster with Async Replication" Pure Storage Whitepaper: "Disaster Recovery Strategies with FlashArray" Pure Storage Knowledge Base: "Using Protection Groups in Stretched Pods"
NEW QUESTION # 40
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