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Pure Storage FlashArray Architect Associate Sample Questions (Q24-Q29):
NEW QUESTION # 24
A cost-conscious customer at a small regional hospital is running a PACS image archive on an NL-disk array.
The customer has the following requirements:
* More than 1 PB of storage
* Latency is not a concern
* Customer user shares must be on the same array
Which solution will meet the customer's needs?
- A. FlashArray//C
- B. FlashArray//XL
- C. FlashArray//X
Answer: A
Explanation:
The customer at the small regional hospital requires a storage solution for a PACS image archive with the following requirements:
More than 1 PB of storage
Latency is not a concern
Customer user shares must be on the same array
The best solution to meet these needs is FlashArray//C.
Why This Matters:
FlashArray//C:
FlashArray//C is designed for capacity-optimized workloads, making it ideal for use cases like PACS image archives that require large amounts of storage at a lower cost per GB.
It supports QLC flash technology, which provides high density and cost efficiency for less performance-intensive workloads.
With its ability to scale to over 1 PB of storage, FlashArray//C can meet the customer's capacity requirements while supporting both block and file workloads (e.g., user shares) on the same array using FA File Services.
Why Not the Other Options?
A). FlashArray//X:
FlashArray//X is optimized for high-performance workloads, such as databases and mission-critical applications. While it supports large capacities, it is more expensive and not the most cost-effective solution for latency-insensitive workloads like PACS archives.
B). FlashArray//XL:
FlashArray//XL is designed for extreme-scale workloads requiring massive performance and capacity. It is overkill for this use case and would significantly increase costs without providing proportional benefits.
Key Points:
FlashArray//C: Provides high-density storage at a low cost per GB, ideal for large-scale, latency-insensitive workloads.
Unified Storage: Supports both block and file workloads on the same array, meeting the requirement for user shares.
Cost Efficiency: Balances performance and cost, making it suitable for PACS archives and similar use cases.
Reference: Pure Storage FlashArray//C Documentation: "Use Cases for FlashArray//C" Pure Storage Whitepaper: "Optimizing Storage Costs with FlashArray//C" Pure Storage Knowledge Base: "Choosing the Right FlashArray Model for Your Workload"
NEW QUESTION # 25
Which Evergreen//Forever benefit allows a customer to trade in an existing 12 TB shelf for a new 60 TB shelf while only paying for a 48 TB increase?
- A. Love Your Storage
- B. Flat is Fair Maintenance
- C. Capacity Consolidation
- D. Right-Size Guarantee
Answer: D
Explanation:
The Right-Size Guarantee is an Evergreen//Forever benefit that allows customers to trade in existing storage shelves for newer, higher-capacity shelves while only paying for the incremental capacity increase. In this scenario, the customer can trade in a 12 TB shelf for a 60 TB shelf and only pay for the additional 48 TB of capacity.
Why This Matters:
The Right-Size Guarantee ensures that customers can upgrade their storage infrastructure without overpaying for capacity they already own. This aligns with Pure Storage's commitment to providing flexible and cost-effective storage solutions.
By leveraging this benefit, the customer can modernize their storage environment while optimizing costs.
Why Not the Other Options?
A). Capacity Consolidation:
Capacity Consolidation refers to the ability to consolidate workloads onto fewer arrays or shelves, but it does not specifically address trading in existing shelves for higher-capacity ones at a reduced cost.
B). Flat is Fair Maintenance:
Flat is Fair Maintenance ensures predictable and consistent maintenance pricing over time, but it does not apply to upgrading or trading in storage shelves.
D). Love Your Storage:
Love Your Storage is a program that provides hardware upgrades and enhancements, but it does not directly relate to trading in shelves for capacity increases.
Key Points:
Right-Size Guarantee: Allows customers to trade in existing shelves for higher-capacity shelves at a reduced cost.
Cost Optimization: Ensures customers only pay for the incremental capacity increase, reducing total cost of ownership (TCO).
Evergreen Benefits: Part of Pure Storage's commitment to delivering flexible and future-proof storage solutions.
Reference: Pure Storage Evergreen//Forever Documentation: "Understanding the Right-Size Guarantee" Pure Storage Whitepaper: "Evergreen Architecture and Subscription Benefits" Pure Storage Knowledge Base: "How to Leverage the Right-Size Guarantee"
NEW QUESTION # 26
A customer has presented two workloads that need to be replicated. One is a highly transactional database workload and the other is a VM datastore with tier one applications.
The customer has the following requirements:
* The database workload is highly reliant on storage performance The VM datastore requires zero downtime.
* The customer has advised the two FlashArrays will be 20 miles apart and they are worried that this could impact their internal SLAs.
What replication strategies should be advised for these workloads?
- A. ActiveCluster should be used for the VM workloads and ActiveDR for the database workload.
- B. ActiveCluster should be used for both workloads.
- C. ActiveDR should be used for both workloads.
- D. ActiveDR should be used for the VM workloads and ActiveCluster for the database workload.
Answer: A
Explanation:
To address the customer's requirements, we need to evaluate the replication strategies offered by Pure Storage FlashArray: ActiveCluster and ActiveDR, and how they align with the specific needs of the two workloads.
Workload Analysis:
Transactional Database Workload:
This workload is highly reliant on storage performance. Any replication strategy must ensure minimal latency and high availability to avoid impacting transactional throughput and response times.
The database workload typically benefits from synchronous replication to maintain consistency and performance across sites.
VM Datastore (Tier 1 Applications):
This workload requires zero downtime, meaning it must remain accessible even in the event of a site failure. High availability and seamless failover are critical.
The VM datastore can tolerate some level of asynchronous replication as long as it does not compromise availability or recovery objectives.
Replication Strategies:
ActiveCluster:
ActiveCluster is a synchronous replication solution that provides active-active high availability across two FlashArrays. It ensures zero RPO (Recovery Point Objective) and zero RTO (Recovery Time Objective), making it ideal for workloads requiring continuous availability and zero downtime.
ActiveCluster is well-suited for the VM datastore workload because it guarantees seamless failover and high availability, meeting the zero-downtime requirement.
ActiveDR:
ActiveDR is an asynchronous replication solution designed for disaster recovery scenarios. It provides near-zero RPO (typically seconds to minutes) and allows for non-disruptive testing of failover scenarios.
ActiveDR is better suited for the transactional database workload because it minimizes the impact of latency over the 20-mile distance while still maintaining high performance and consistency.
Distance Consideration:
The 20-mile distance between the two FlashArrays introduces latency concerns. Synchronous replication (ActiveCluster) can handle this distance effectively for the VM datastore workload due to its tolerance for slightly higher latency. However, for the transactional database workload, the latency could degrade performance, making ActiveDR a better choice.
Final Recommendation:
Use ActiveCluster for the VM datastore workload to achieve zero downtime and high availability.
Use ActiveDR for the transactional database workload to balance performance and disaster recovery needs over the 20-mile distance.
Reference: Pure Storage ActiveCluster Documentation:
Explains the synchronous replication capabilities and use cases for ActiveCluster.
Pure Storage ActiveCluster
Pure Storage ActiveDR Documentation:
Details the asynchronous replication features and disaster recovery use cases for ActiveDR.
Pure Storage ActiveDR
Pure Storage Best Practices for Replication:
Provides guidance on selecting the appropriate replication strategy based on workload requirements and distance considerations.
Pure Storage Replication Best Practices
Pure Storage Architectural Guides:
Covers architectural considerations for deploying ActiveCluster and ActiveDR in multi-site environments.
Pure Storage Architectural Guides
This approach ensures that both workloads meet their respective SLAs while addressing the customer's concerns about distance and performance.
NEW QUESTION # 27
Which Pure Storage offering can be deployed in AWS?
- A. Cloud Block Store
- B. CloudSnap
- C. ObjectEngine
Answer: A
Explanation:
The Pure Storage offering that can be deployed in AWS is Cloud Block Store.
Why This Matters:
Cloud Block Store:
Cloud Block Store is a cloud-native block storage solution that runs in public clouds like AWS and Azure.
It provides enterprise-grade storage features, including deduplication, compression, and thin provisioning, while seamlessly integrating with on-premises FlashArray environments.
Why Not the Other Options?
A). ObjectEngine:
ObjectEngine is a backup and recovery solution designed for rapid restores and backups. It is not a storage solution that can be deployed in AWS.
C). CloudSnap:
CloudSnap is a feature that offloads snapshots to cloud storage (e.g., AWS S3 or Azure Blob). It is not a standalone storage solution but rather a feature of FlashArray.
Key Points:
Cloud Block Store: Provides block storage in AWS with enterprise-grade features.
Integration: Seamlessly integrates with on-premises FlashArray environments for hybrid cloud architectures.
Scalability: Enables scalable and cost-effective storage in the cloud.
Reference: Pure Storage Cloud Block Store Documentation: "Deploying Cloud Block Store in AWS" Pure Storage Whitepaper: "Hybrid Cloud Architectures with FlashArray and Cloud Block Store" Pure Storage Knowledge Base: "Cloud Block Store Use Cases and Deployment"
NEW QUESTION # 28
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 # 29
......
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