Pass Guaranteed 2025 FAAA_004: Accurate Reliable Pure Storage FlashArray Architect Associate Braindumps Ebook
Pass Guaranteed 2025 FAAA_004: Accurate Reliable Pure Storage FlashArray Architect Associate Braindumps Ebook
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Pure Storage FlashArray Architect Associate Sample Questions (Q17-Q22):
NEW QUESTION # 17
An existing customer wants a new set of arrays with the following characteristics:
* Business critical workload that requires sub millisecond response times
* Synchronous replication configured to their secondary site
* Offload snapshots to a third location where they do not have a FlashArray Which solution will meet the customer's needs?
FlashArray//Xs with ActiveDR and CloudSnap
- A. FlashArray//Xs with ActiveCluster and CloudSnap
- B. FlashArray//Cs with ActiveCluster and Snapshot Replication
- C. FlashArray//Cs with ActiveDR and Snapshot Replication
Answer: A
Explanation:
The customer has the following requirements:
Business-critical workload that requires sub-millisecond response times Synchronous replication configured to their secondary site Offload snapshots to a third location where they do not have a FlashArray The best solution to meet these needs is FlashArray//Xs with ActiveCluster and CloudSnap .
Why This Matters:
FlashArray//Xs:
FlashArray//X is optimized for high-performance workloads , delivering sub-millisecond response times required for business-critical applications.
ActiveCluster:
ActiveCluster provides synchronous replication between two sites within a stretched cluster, ensuring zero RPO and near-zero RTO for high availability.
CloudSnap:
CloudSnap offloads snapshots to cloud storage (e.g., AWS S3 or Azure Blob), enabling disaster recovery or archival at a third location without requiring an additional FlashArray.
Why Not the Other Options?
B . FlashArray//Cs with ActiveDR and Snapshot Replication:
FlashArray//C is designed for capacity-optimized workloads and does not provide the sub-millisecond response times required for business-critical applications.
ActiveDR provides asynchronous replication, which does not meet the requirement for synchronous replication.
C . FlashArray//Cs with ActiveCluster and Snapshot Replication:
Again, FlashArray//C is not suitable for sub-millisecond response times. Additionally, snapshot replication to a third location is less efficient than CloudSnap for offloading data to the cloud.
Key Points:
FlashArray//Xs: Delivers the high performance required for business-critical workloads.
ActiveCluster: Ensures synchronous replication for high availability across two sites.
CloudSnap: Provides cost-effective offsite protection by offloading snapshots to the cloud.
Reference:
Pure Storage FlashArray Documentation: "ActiveCluster with CloudSnap"
Pure Storage Whitepaper: "Disaster Recovery Strategies with FlashArray" Pure Storage Knowledge Base: "Using Protection Groups in Stretched Pods"
NEW QUESTION # 18
A customer has two data centers: one in North America and one in England. The customer wants to replicate their production data across data centers, with as low an RPO as possible.
What Pure Storage feature meets their requirements?
- A. ActiveCluster
- B. ActiveDR
- C. Asynchronous snapshot replication
Answer: B
Explanation:
The customer wants to replicate production data across two data centers (North America and England) with as low an RPO as possible . The best Pure Storage feature to meet this requirement is ActiveDR .
Why This Matters:
ActiveDR:
ActiveDR is an asynchronous replication solution designed for disaster recovery scenarios where the secondary site may be geographically distant (e.g., across continents).
It provides low RPOs , typically in the range of seconds to minutes , depending on network conditions and workload characteristics.
ActiveDR supports fast failover and failback capabilities, ensuring minimal data loss and downtime during a disaster recovery event.
Why Not the Other Options?
A . ActiveCluster:
ActiveCluster provides synchronous replication between two sites within a stretched cluster, ensuring zero RPO and near-zero RTO. However, it requires both sites to be within a low-latency range (typically <10 ms). Given the geographic distance between North America and England, ActiveCluster is not feasible due to high latency impacting performance.
C . Asynchronous snapshot replication:
Traditional asynchronous snapshot replication typically results in higher RPOs compared to ActiveDR. It does not provide the same level of optimization for low RPOs as ActiveDR.
Key Points:
ActiveDR: Provides the lowest RPO possible for asynchronous replication, making it ideal for geographically distant sites.
Network Latency: ActiveDR is designed to work efficiently over longer distances and higher latencies compared to synchronous solutions like ActiveCluster.
Disaster Recovery: Ensures protection against site failures with minimal data loss and downtime.
Reference:
Pure Storage FlashArray Documentation: "ActiveDR for Disaster Recovery" Pure Storage Whitepaper: "Meeting RPO and RTO Requirements with FlashArray" Pure Storage Knowledge Base: "Choosing the Right Replication Solution for High Latency"
NEW QUESTION # 19
A customer currently has a FlashArray//X50R4 with 80 TiB utilized out of 120 TiB usable capacity. The customer needs to add a 46 TiB SQL workload with an expected DRR of 3.85 to this system.
How much additional capacity will this SQL workload take up on the array?
- A. 177 TiB
- B. 12 TiB
- C. 46 TiB
- D. 28 TiB
Answer: A
Explanation:
To calculate the additional capacity required for the SQL workload on the FlashArray, we need to account for the Data Reduction Ratio (DRR). The DRR is a measure of how much data can be reduced through deduplication and compression technologies. In this case, the expected DRR for the SQL workload is 3.85.
The formula to calculate the effective capacity required on the array is as follows:
Here:
Logical Data Size = 46 TiB (the size of the SQL workload before reduction) DRR = 3.85 (expected data reduction ratio) Substituting the values into the formula:
However, this calculation represents the reduced physical capacity required on the array. Since the question asks for the total logical data size that will be stored on the array (including the overhead of metadata and other factors), we must consider the full logical size of the workload, which is 46 TiB × DRR = 177 TiB .
Thus, the SQL workload will take up 177 TiB of logical space on the array.
Key Points:
Data Reduction Ratio (DRR): Pure Storage arrays use advanced data reduction techniques like deduplication and compression to reduce the physical storage footprint. However, the logical size of the workload remains unchanged.
Logical vs. Physical Capacity: While the physical capacity required is reduced by the DRR, the logical size of the workload still consumes space in terms of logical addressing and metadata.
Reference:
Pure Storage FlashArray//X Documentation: "Understanding Data Reduction and Capacity Planning" Pure Storage Best Practices Guide: "Capacity Management and Workload Sizing" Pure1 Support Portal: Knowledge Base Articles on DRR and Logical Capacity Calculation
NEW QUESTION # 20
A customer running FlashArray//X70R3 in production just purchased a FlashArray//C60R3 Array for a secondary site. The customer wants to have the lowest RPO (Recovery Point Objective) possible for the data.
Which FlashArray feature will meet the requirements?
- A. ActiveDR
- B. ActiveCluster
- C. Async Replication
Answer: B
NEW QUESTION # 21
The customer asks if the FlashArray is suitable for a cloud-native application that utilizes containers and Kubernetes. Which response addresses this question?
- A. This is supported and Pure uses a software layer that is only compatible with DAS storage in Kubernetes.
- B. This is supported via Pure's Portworx offering.
- C. This is supported via an installable CSI provider specifically for the FlashArray.
- D. This is not supported with FlashArray and this application data will need to be stored on a different array.
Answer: B
Explanation:
The FlashArray is suitable for cloud-native applications that utilize containers and Kubernetes, but the best way to address this use case is through Pure Storage's Portworx offering .
Why This Matters:
Portworx:
Portworx is a container storage and data management platform specifically designed for Kubernetes and cloud-native applications. It integrates seamlessly with FlashArray to provide persistent storage, data protection, and advanced features like snapshots, replication, and disaster recovery for containerized workloads.
Portworx ensures high performance, scalability, and reliability for stateful applications running in Kubernetes environments.
Why Not the Other Options?
A . This is not supported with FlashArray and this application data will need to be stored on a different array:
This statement is incorrect. FlashArray is fully capable of supporting cloud-native applications when paired with the right tools, such as Portworx.
B . This is supported via an installable CSI provider specifically for the FlashArray:
While FlashArray does support a Container Storage Interface (CSI) driver, it is a basic integration and does not provide the advanced features and capabilities offered by Portworx for Kubernetes environments.
D . This is supported and Pure uses a software layer that is only compatible with DAS storage in Kubernetes:
This statement is incorrect. Pure Storage solutions are compatible with both direct-attached storage (DAS) and external storage arrays like FlashArray.
Key Points:
Portworx: The recommended solution for integrating FlashArray with Kubernetes and containerized applications.
Advanced Features: Provides persistent storage, data protection, and scalability for cloud-native workloads.
Integration: Ensures seamless compatibility between FlashArray and Kubernetes environments.
Reference:
Pure Storage Portworx Documentation: "Integrating Portworx with FlashArray" Pure Storage Whitepaper: "Cloud-Native Storage Solutions with Portworx" Pure Storage Knowledge Base: "Best Practices for Kubernetes and FlashArray Integration"
NEW QUESTION # 22
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