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[General] FAAA_005 Study Dumps, Detailed FAAA_005 Study Plan

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【General】 FAAA_005 Study Dumps, Detailed FAAA_005 Study Plan

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Pure Storage FlashArray Architect Associate Sample Questions (Q24-Q29):NEW QUESTION # 24
A customer is looking for a new storage system with the following requirements:
* 20 TB of file shares
* Support 800 TB of Wols
* Low cost per GB
* CloudSnap utilization in the future
Which Pure Storage platform should be recommended?
  • A. FlashArray//C
  • B. FlashArray//X
  • C. Cloud Block Store
  • D. FlashBlade//S
Answer: A
Explanation:
The customer is looking for a storage system that supports 20 TB of file shares, 800 TB of workloads, has a low cost per GB, and can utilize CloudSnap in the future. The best recommendation is FlashArray//C.
Why This Matters:
FlashArray//C:
FlashArray//C is designed for capacity-optimized workloads, making it ideal for use cases requiring large amounts of storage at a lower cost per GB compared to higher-performance arrays like FlashArray//X.
It supports QLC flash technology, which provides high density and cost efficiency for less performance-intensive workloads.
CloudSnap is fully supported on FlashArray//C, enabling snapshots to be offloaded to public cloud storage for disaster recovery or archival purposes.
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 CloudSnap, it is more expensive and not the most cost-effective solution for large-scale capacity needs.
C). Cloud Block Store:
Cloud Block Store is a cloud-native block storage solution that runs in public clouds (e.g., AWS, Azure). It does not meet the requirement for on-premises storage with file shares and CloudSnap utilization.
D). FlashBlade//S:
FlashBlade//S is designed for file and object storage but is typically used for high-performance, unstructured data workloads. It is more expensive than FlashArray//C and not necessary for this use case.
Key Points:
FlashArray//C: Provides high-density storage at a low cost per GB, ideal for large-scale workloads.
CloudSnap Support: Enables offloading snapshots to the cloud for disaster recovery or archival purposes.
Cost Efficiency: Balances performance and cost, making it suitable for file shares and large datasets.
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
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. 46 TiB
  • C. 28 TiB
  • D. 12 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 # 26
Which Pure Storage offering can be deployed in AWS?
  • A. ObjectEngine
  • B. Cloud Block Store
  • C. CloudSnap
Answer: B
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 # 27
A customer needs to be able to replicate from on-prem into the public cloud. They want to use the cloud as their DR site with failover and fallback capabilities.
Which Pure Storage feature should the customer use?
  • A. Snapshot replication to replicate between a FlashArray on site and Cloud Block Store
  • B. ActiveCluster FC replication between a FlashArray on site and Evergreen//One
  • C. Purity//FA CloudSnap periodic offload of snapshots to AWS
Answer: A
Explanation:
The customer requires a disaster recovery (DR) solution that allows them to replicate data from their on-premises environment to the public cloud. They also need failover and fallback capabilities, meaning they must be able to switch operations to the cloud during a disaster and revert back to on-premises once the issue is resolved.
Snapshot replication between a FlashArray on-premises and Cloud Block Store (CBS) is the best solution for this use case. CBS integrates seamlessly with on-premises FlashArrays, enabling efficient replication of snapshots to the cloud. This feature supports failover and fallback operations, ensuring business continuity in the event of a disaster.
Why Not the Other Options?
B). Purity//FA CloudSnap periodic offload of snapshots to AWS: While CloudSnap allows periodic offloading of snapshots to AWS S3 for backup purposes, it does not provide the real-time replication and failover/fallback capabilities required for DR.
C). ActiveCluster FC replication between a FlashArray on site and Evergreen//One: ActiveCluster is designed for synchronous replication between two FlashArrays in different locations, but it does not support replication to the public cloud.
Key Points:
Snapshot Replication: Enables efficient and reliable replication of data between on-premises FlashArrays and Cloud Block Store.
Failover and Fallback: CBS supports these capabilities, ensuring minimal downtime during a disaster.
Integration with FlashArray: CBS is specifically designed to work with FlashArray, providing a seamless DR solution.
Reference: Pure Storage Cloud Block Store Documentation: "Disaster Recovery with Cloud Block Store" Pure Storage Best Practices Guide: "Replication and Failover in Hybrid Cloud Environments" Pure Storage Whitepaper: "Hybrid Cloud Architectures with FlashArray and Cloud Block Store"

NEW QUESTION # 28
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. FlashArray data reduction needs to be tuned to increase its effectiveness.
  • B. A FlashArray's compression and deduplication will need to be tuned for data subsets.
  • C. The Right-Size Guarantee means that the customer can work with their SE if necessary.
  • D. FlashArray's deduplication effectiveness will usually increase as the data quantity grows.
Answer: C,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 # 29
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