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【General】 FAAA_005 Latest Dumps & Test FAAA_005 King

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Pure Storage FlashArray Architect Associate Sample Questions (Q46-Q51):NEW QUESTION # 46
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. RAID-HA protection and AES-256 encryption
  • B. Deep deduplication and deep compression
  • C. Capacity consolidation and cloning
  • D. Snapshot cleanup and garbage collection
Answer: B
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 # 47
A customer currently has a FlashArray//X for their block storage with 40 TB of available storage. They need 10 TB of file workloads and want to spend the least amount possible on infrastructure.
What should the SE recommend?
  • A. Purchase an entry level FlashBlade for the file workload
  • B. Add another disk pool for file storage to their current FlashArray
  • C. NDU the FlashArray //X to a //XL and run both workloads there
  • D. Run both workloads on the current FlashArray
Answer: D
Explanation:
The customer currently has a FlashArray//X with 40 TB of available block storage and needs to add 10 TB of file workloads while minimizing infrastructure costs. Let's analyze the options:
Analysis of Options:
A). Run both workloads on the current FlashArray:
Pure Storage FlashArray supports both block and file workloads using the Purity File Services feature, which allows customers to run file workloads directly on their FlashArray.
Since the FlashArray already has 40 TB of available storage, adding 10 TB of file workloads is feasible without requiring additional hardware. This is the most cost-effective solution.
B). Add another disk pool for file storage to their current FlashArray:
Adding a separate disk pool for file storage is unnecessary because Purity File Services can handle both block and file workloads on the same array.
C). Purchase an entry-level FlashBlade for the file workload:
While FlashBlade is designed for file and object workloads, purchasing a new FlashBlade would be significantly more expensive than leveraging the existing FlashArray. This option does not align with the customer's goal of minimizing costs.
D). NDU the FlashArray //X to a //XL and run both workloads there:
Upgrading the FlashArray//X to a FlashArray//XL via a Non-Disruptive Upgrade (NDU) is unnecessary for this use case. The current FlashArray//X has sufficient capacity to handle both workloads, and upgrading to a higher-tier array would increase costs unnecessarily.
Recommendation:
The most cost-effective solution is
A). Run both workloads on the current FlashArray, leveraging Purity File Services to support the file workload.
Reference: Purity File Services Documentation:
Purity File Services
Explains how to configure and use file services on FlashArray.
FlashArray Use Cases:
FlashArray Use Cases
Highlights the versatility of FlashArray for both block and file workloads.

NEW QUESTION # 48
Which offering discounts controller upgrades with a purchase of qualifying storage capacity?
  • A. Ever Agile
  • B. Capacity Consolidation
  • C. Love Your Storage
  • D. Right-Size Guarantee
Answer: C
Explanation:
The offering that discounts controller upgrades with a purchase of qualifying storage capacity is Love Your Storage.
Why This Matters:
Love Your Storage:
This program is part of Pure Storage's Evergreen//Forever subscription model. It allows customers to upgrade their controllers at a discounted rate when they purchase additional qualifying storage capacity.
The goal is to ensure that customers can modernize their infrastructure without incurring excessive costs, aligning with Pure Storage's commitment to providing flexible and future-proof solutions.
Why Not the Other Options?
B). Right-Size Guarantee:
The Right-Size Guarantee allows customers to trade in existing shelves for higher-capacity ones while only paying for the incremental capacity increase. It does not involve discounts on controller upgrades.
C). Capacity Consolidation:
Capacity Consolidation refers to the ability to consolidate workloads onto fewer arrays or shelves but does not include discounts on controller upgrades.
D). Ever Agile:
Ever Agile is a subscription model that provides flexibility in scaling storage and compute resources but does not specifically discount controller upgrades tied to storage purchases.
Key Points:
Love Your Storage: Discounts controller upgrades when purchasing qualifying storage capacity. Evergreen Benefits: Ensures customers can modernize their infrastructure cost-effectively. Future-Proofing: Aligns with Pure Storage's commitment to delivering long-term value.
Reference: Pure Storage Evergreen//Forever Documentation: "Understanding Love Your Storage" Pure Storage Whitepaper: "Maximizing Value with Evergreen Subscriptions" Pure Storage Knowledge Base: "How Love Your Storage Works"

NEW QUESTION # 49
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. The Right-Size Guarantee means that the customer can work with their SE if necessary.
  • C. FlashArray's deduplication effectiveness will usually increase as the data quantity grows.
  • D. A FlashArray's compression and deduplication will need to be tuned for data subsets.
Answer: B,C
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 # 50
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. Cloud Block Store
  • C. FlashArray//X
  • 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 # 51
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