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Pure Storage FAAA_004 Exam Syllabus Topics:

Topic	Details
Topic 1	Qualify, Sell, and Architect: This section of the exam assesses the skills of Technical Sales Engineers and covers identifying solutions based on customer requirements, sizing solutions based on customer needs using tools like Pure FlashArray Sizer, identifying market trends and opportunities (e.g., Ransomware and Portworx Solution Centers), demonstrating an understanding of FlashArray use cases, and demonstrating an understanding of unified storage on FlashArray37. A key skill measured is "identifying solutions based on customer requirements.
Topic 2	Subscriptions and DX: This section evaluates the competencies of Account Managers regarding Pure Storage's subscription services and digital experience. It focuses on identifying the benefits of Pure's Evergreen program (Evergreen One, Forever, Flex) and Love Your Storage Guarantee, as well as determining future capacity, performance, and upgrade requirements through workload and hardware simulations.
Topic 3	Array Monitoring and Architecture: This section measures the skills of Storage Architects and covers explaining FlashArray's high availability architecture, defining FlashArray features (e.g., ActiveCluster, ActiveDR), explaining data reduction methods, identifying components of FlashArrays, and analyzing performance metrics and capacity usage using Pure1 Manage3. A crucial skill evaluated is "analyzing performance metrics".

Pure Storage FlashArray Architect Associate Sample Questions (Q20-Q25):

NEW QUESTION # 20
Refer to the exhibit.

Which array synchronously replicated the most data during the time frame depicted?

A. dogfood-elk
B. dogfood-couch
C. dogfood-chuckwagon
D. dogfood-cheesewheel

Answer: D

Explanation:
To determine which array synchronously replicated the most data during the time frame depicted in the exhibit, we need to analyze the replication activity shown in the graph or chart provided in the image. Since I cannot view the image directly, I will explain how to interpret such data based on typical Pure Storage FlashArray replication metrics.
Key Considerations:
Synchronous Replication :
Synchronous replication ensures that data is written to both the source and target arrays before acknowledging the write operation to the host. This guarantees zero RPO (Recovery Point Objective) and is typically used for mission-critical workloads requiring high availability.
Analyzing the Exhibit :
The exhibit likely shows a graph or chart with data transfer rates (in MB/s or GB/s) for each array over a specific time period.
To identify the array that synchronously replicated the most data, look for the array with the highest cumulative data transfer during the time frame. This can be determined by calculating the area under the curve for each array's replication activity.
Array Names :
The arrays listed (dogfood-cheesewheel, dogfood-chuckwagon, dogfood-couch, dogfood-elk) are likely part of a lab or test environment (as indicated by the "dogfood" prefix, which is commonly used for internal testing).
Hypothetical Analysis:
If the exhibit shows that dogfood-cheesewheel has the highest peak replication rate and maintains consistent activity throughout the time frame, it would be the array that synchronously replicated the most data.
Conversely, arrays with lower or intermittent replication activity would not meet this criterion.
Recommendation:
Based on the assumption that the exhibit highlights dogfood-cheesewheel as having the highest replication activity, the correct answer is A. dogfood-cheesewheel .
Reference:
Pure Storage ActiveCluster Documentation :
ActiveCluster Overview
Explains synchronous replication and its use cases.
Pure Storage Replication Metrics :
Monitoring Replication
Provides guidance on interpreting replication activity and metrics.

NEW QUESTION # 21
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. Asynchronous snapshot replication
C. ActiveDR

Answer: C

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 # 22
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 needs to upgrade to XL to be able to use FA File.
B. The customer should migrate their Windows file servers to Pure.
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 # 23
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. Medical imaging always belongs on a FlashBlade.
B. They can use FA File on the array as-is.
C. They should purchase a FlashArray//C and enable FA File.
D. They must first upgrade the controllers to a //X70 and enable FA File.

Answer: B

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 # 24
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. ActiveDR should be used for the VM workloads and ActiveCluster for the database workload.
B. ActiveCluster should be used for both workloads.
C. ActiveCluster should be used for the VM workloads and ActiveDR for the database workload.
D. ActiveDR should be used for both workloads.

Answer: C

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 # 25
......

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