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Pure Storage FAAA_004 Exam Syllabus Topics:
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>> FAAA_004 Exam Objectives <<
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Pure Storage FlashArray Architect Associate Sample Questions (Q59-Q64):
NEW QUESTION # 59
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 be able to use their current FlashArray.
- B. The customer needs to upgrade to XL to be able to use FA File.
- C. The customer should migrate their Windows file servers to Pure.
Answer: A
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 # 60
What should a protection group in a stretched pod be used for?
- A. Using CloudSnap to offload to a third-site target
- B. Integrating ActiveCluster with async snapshot replication
- C. Configuring fan-out async snapshot replication
- D. Initiating ActiveDR failover/failback in a test scenario
Answer: B
Explanation:
A protection group in a stretched pod should be used for integrating ActiveCluster with asynchronous snapshot replication . This combination allows for synchronous replication within the stretched pod (using ActiveCluster) while also enabling asynchronous replication to a third site for additional disaster recovery protection.
Why This Matters:
ActiveCluster: Provides synchronous replication between two sites within a stretched pod, ensuring zero RPO and near-zero RTO for high availability.
Async Snapshot Replication: Extends the disaster recovery strategy by replicating snapshots asynchronously to a third site, providing an additional layer of protection against regional failures.
Combining these features ensures both local high availability and remote disaster recovery.
Why Not the Other Options?
B . Using CloudSnap to offload to a third-site target:
CloudSnap is used to offload snapshots to cloud storage (e.g., AWS S3 or Azure Blob). While it is useful for backup purposes, it does not integrate with ActiveCluster for synchronous replication.
C . Initiating ActiveDR failover/failback in a test scenario:
ActiveDR is designed for asynchronous replication and failover/failback scenarios but does not integrate with ActiveCluster in a stretched pod configuration.
D . Configuring fan-out async snapshot replication:
Fan-out replication involves sending snapshots to multiple targets asynchronously. However, this does not align with the use case of integrating ActiveCluster with async replication for a stretched pod.
Key Points:
Stretched Pod: Enables synchronous replication across two sites using ActiveCluster.
Async Replication: Adds a third-site replication target for comprehensive disaster recovery.
Integrated Protection: Combines high availability and disaster recovery into a single solution.
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 # 61
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 via an installable CSI provider specifically for the FlashArray.
- B. This is supported and Pure uses a software layer that is only compatible with DAS storage in Kubernetes.
- C. This is not supported with FlashArray and this application data will need to be stored on a different array.
- D. This is supported via Pure's Portworx offering.
Answer: D
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 # 62
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//X
- B. FlashArray//C
- C. FlashArray//XL
Answer: C
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 # 63
A customer is unsatisfied because the level of data reduction on their FlashArray is NOT as high as expected. What two statements should the SE make to the customer? (Choose two.)
- A. The Right-Size Guarantee means that the customer can work with their SE if necessary.
- B. FlashArray data reduction needs to be tuned to increase its effectiveness.
- C. A FlashArray's compression and deduplication will need to be tuned for data subsets.
- D. FlashArray's deduplication effectiveness will usually increase as the data quantity grows.
Answer: A,D
Explanation:
If a customer is unsatisfied with the level of data reduction on their FlashArray, the SE should make the following two statements:
FlashArray's deduplication effectiveness will usually increase as the data quantity grows:
Deduplication relies on identifying and eliminating duplicate data blocks. As more data is written to the array, the likelihood of finding duplicates increases, improving the overall deduplication ratio.
Customers should expect better data reduction results over time as their dataset grows.
The Right-Size Guarantee means that the customer can work with their SE if necessary:
Pure Storage's Right-Size Guarantee ensures that customers receive the expected effective capacity based on their workload's data reduction profile. If the actual data reduction does not meet expectations, the customer can collaborate with their SE to address the issue and potentially adjust their subscription or configuration.
Why Not the Other Options?
A . A FlashArray's compression and deduplication will need to be tuned for data subsets:
FlashArray's data reduction techniques (compression and deduplication) are automatic and do not require manual tuning. This statement is misleading.
C . FlashArray data reduction needs to be tuned to increase its effectiveness:
Similar to Option A, FlashArray's data reduction mechanisms are fully automated and do not require manual intervention.
Key Points:
Data Growth: Deduplication effectiveness improves as more data is written to the array.
Right-Size Guarantee: Provides assurance that customers can work with their SE to address data reduction concerns.
Automatic Optimization: FlashArray's data reduction features are self-optimizing and do not require manual tuning.
Reference:
Pure Storage FlashArray Documentation: "Understanding Data Reduction and Capacity Planning" Pure Storage Whitepaper: "Maximizing Data Reduction with FlashArray" Pure Storage Knowledge Base: "Right-Size Guarantee Terms and Conditions"
NEW QUESTION # 64
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