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Pure Storage FAAA_004 Exam Syllabus Topics:
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Pure Storage FlashArray Architect Associate Sample Questions (Q19-Q24):
NEW QUESTION # 19
A healthcare customer who is already leveraging a FlashArray//X50 for VMware datastores has added a radiology department to their facility and requires a file-based storage solution for medical imaging.
* They have 35 usable TB free.
* They anticipate storing 15 TB in images.
* System load is currently 35%.
Which approach will enable this workload?
- A. They must first upgrade the controllers to a //X70 and enable FA File.
- B. They should purchase a FlashArray//C and enable FA File.
- C. Medical imaging always belongs on a FlashBlade.
- D. They can use FA File on the array as-is.
Answer: D
Explanation:
The healthcare customer already has a FlashArray//X50 with 35 usable TB free and anticipates storing 15 TB of medical imaging data . Since the system load is currently 35% , they can enable FA File on the array as-is to support the new workload.
Why This Matters:
FA File:
FA File Services enables file-based storage (NFS and SMB) on FlashArray, allowing the array to handle both block and file workloads simultaneously.
With 35 TB of free capacity and only 15 TB required for medical imaging, there is sufficient space to accommodate the new workload.
The current system load of 35% indicates that the array has ample headroom to handle the additional workload without requiring upgrades.
Why Not the Other Options?
A . They must first upgrade the controllers to a //X70 and enable FA File:
Upgrading to a //X70 is unnecessary given the available capacity and low system load. The current //X50 is capable of supporting the workload.
C . Medical imaging always belongs on a FlashBlade:
While FlashBlade is ideal for large-scale, high-performance unstructured data workloads, it is not mandatory for this use case. FA File on FlashArray//X50 is sufficient for 15 TB of medical imaging data.
D . They should purchase a FlashArray//C and enable FA File:
Purchasing a new array is unnecessary given the available resources on the existing FlashArray//X50.
Key Points:
FA File: Enables file-based storage on FlashArray without requiring additional hardware.
Capacity and Load: The array has sufficient free space and performance headroom to handle the new workload.
Cost Efficiency: Avoids unnecessary upgrades or purchases, optimizing costs while meeting requirements.
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 # 20
A customer is reviewing their disaster recovery strategy and want to replicate their data to a secondary datacenter. They have stated that they have internal SLAs around RPO and RTO that they are not currently meeting.
Which two FlashArray features should the SE focus on? (Choose two.)
- A. ActiveDR
- B. ActiveCluster
- C. FlashRecover
- D. CloudSnap
Answer: A,C
Explanation:
The customer is reviewing their disaster recovery (DR) strategy and wants to replicate data to a secondary datacenter while addressing internal SLAs for RPO (Recovery Point Objective) and RTO (Recovery Time Objective) . To meet these requirements, the SE should focus on two key Pure Storage FlashArray features: FlashRecover and ActiveDR .
Why These Features?
FlashRecover:
FlashRecover is a snapshot-based replication feature that allows efficient point-in-time copies of data to be replicated to a secondary site.
It helps achieve low RPOs by enabling frequent snapshots and replication to the DR site.
This ensures minimal data loss in the event of a failure.
ActiveDR:
ActiveDR is a disaster recovery solution that provides asynchronous replication between two FlashArrays.
It is specifically designed to minimize RTO by enabling fast failover and failback capabilities.
ActiveDR ensures that the secondary site is always ready to take over with minimal downtime, meeting strict RTO requirements.
Why Not the Other Options?
B . ActiveCluster:
ActiveCluster is a synchronous replication solution for high availability across two sites. While it provides zero RPO and near-zero RTO, it requires both sites to be within synchronous distance (typically <10ms latency). Since the customer is replicating to a secondary datacenter (likely farther away), ActiveCluster is not suitable.
C . CloudSnap:
CloudSnap is a feature that offloads snapshots to cloud storage (e.g., AWS S3 or Azure Blob). While it is useful for backup and archival purposes, it does not provide the real-time replication and failover capabilities needed for DR with strict RPO and RTO SLAs.
Key Points:
FlashRecover: Enables efficient replication with low RPOs through snapshot-based replication.
ActiveDR: Provides asynchronous replication with fast failover and failback capabilities to meet RTO requirements.
SLA Alignment: Both features are designed to help customers meet their internal SLAs for RPO and RTO.
Reference:
Pure Storage FlashArray Documentation: "Disaster Recovery with FlashRecover and ActiveDR" Pure Storage Whitepaper: "Meeting RPO and RTO Requirements with FlashArray" Pure Storage Knowledge Base: "Best Practices for Disaster Recovery Planning"
NEW QUESTION # 21
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 ActiveDR and Snapshot Replication
- C. FlashArray//Cs with ActiveCluster 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 # 22
A potential healthcare customer wants to move to a modern storage array for their medical records database. They need the fastest possible array as their workload is highly transactional.
Which solution should an SE recommend?
- A. FlashArray//C
- B. FlashArray//XL
- C. FlashArray//X
Answer: B
Explanation:
To meet the healthcare customer's requirement for the fastest possible array for a highly transactional medical records database, FlashArray//XL is the optimal choice. Here's why:
Analysis of FlashArray Models:
FlashArray//XL :
The FlashArray//XL is Pure Storage's highest-performance all-flash storage array, designed for mission-critical, high-transaction workloads that demand ultra-low latency and maximum throughput.
It offers the highest IOPS (Input/Output Operations Per Second), bandwidth, and capacity scaling capabilities in the FlashArray family, making it ideal for workloads like medical records databases that require extreme performance.
With its advanced NVMe architecture and DirectFlash Modules, FlashArray//XL delivers sub-millisecond latency and exceptional performance consistency, which are critical for transactional workloads.
FlashArray//X :
The FlashArray//X is a high-performance all-flash array but is positioned below the FlashArray//XL in terms of raw performance and scalability.
While it is suitable for most enterprise workloads, it may not provide the same level of performance as FlashArray//XL for highly transactional databases with demanding I/O requirements.
FlashArray//C :
The FlashArray//C is optimized for capacity and cost efficiency rather than raw performance.
It uses QLC NAND flash technology, which is more cost-effective but has lower endurance and performance compared to the TLC NAND used in FlashArray//X and FlashArray//XL.
This makes FlashArray//C unsuitable for highly transactional workloads like a medical records database.
Recommendation:
Given the customer's need for the "fastest possible array" and the highly transactional nature of their workload, FlashArray//XL is the best recommendation. Its ability to deliver consistent, low-latency performance at scale ensures that the medical records database will perform optimally under heavy transactional loads.
Reference:
FlashArray//XL Product Overview :
Pure Storage FlashArray//XL
Details the performance and use cases for FlashArray//XL.
FlashArray//X Product Overview :
Pure Storage FlashArray//X
Explains the capabilities of FlashArray//X for enterprise workloads.
FlashArray//C Product Overview :
Pure Storage FlashArray//C
Highlights the cost-efficient design of FlashArray//C for capacity-focused workloads.
NEW QUESTION # 23
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. Deep deduplication and deep compression
- D. Snapshot cleanup and garbage collection
Answer: C
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 # 24
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