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Pure Storage FlashArray Architect Associate Sample Questions (Q28-Q33):

NEW QUESTION # 28
A customer has a requirement for 450 TB of block storage to support their tier2 environment where latency is not a concern. The workload is expected to achieve a 4-to-l data reduction.
Which array and capacity configuration is the minimum required to meet their needs?

A. FlashArray//C40R3 247 TB
B. FlashArray//C60R3 366 TB
C. FlashArray//C60R3 878 TB
D. FlashArray//X70R3 228 TB

Answer: A

Explanation:
To meet the customer's requirement for 450 TB of block storage with a 4:1 data reduction ratio, we need to calculate the effective usable capacity required and select the appropriate array configuration.
Step-by-Step Calculation:
Effective Usable Capacity Needed :
The workload requires 450 TB of logical storage.
With a 4:1 data reduction ratio, the physical storage required is:

Array Selection :
The selected array must provide at least 112.5 TB of usable capacity after accounting for overhead and RAID protection.
Let's evaluate the options:
A . FlashArray//C40R3 247 TB :
The FlashArray//C40R3 provides 247 TB of raw capacity. After accounting for overhead (typically ~20%), the usable capacity is approximately:Usable Capacity=247TB×0.8=197.6TB.
This exceeds the required 112.5 TB , making it a valid option.
B . FlashArray//C60R3 878 TB :
The FlashArray//C60R3 provides 878 TB of raw capacity, which is significantly larger than needed. While it meets the requirement, it is not the minimum configuration.
C . FlashArray//X70R3 228 TB :
The FlashArray//X70R3 provides 228 TB of raw capacity. After overhead, the usable capacity is approximately:Usable Capacity=228TB×0.8=182.4TB.
While this also meets the requirement, it is more expensive than the C40R3.
D . FlashArray//C60R3 366 TB :
The FlashArray//C60R3 with 366 TB of raw capacity is overkill for this requirement and not cost-effective.
Recommendation :
The FlashArray//C40R3 247 TB provides the minimum required usable capacity while meeting the customer's needs.
Final Recommendation:
The correct answer is A. FlashArray//C40R3 247 TB .
Reference:
FlashArray//C Series Product Overview :
FlashArray//C Series
Details the capacity and use cases for FlashArray//C models.
Capacity Planning Guide :
Pure Storage Capacity Planning
Provides guidance on calculating usable capacity based on data reduction ratios.

NEW QUESTION # 29
Which two public cloud storage services are supported as offload targets for Purity CloudSnap? (Choose two.)

A. Amazon AWS EBS
B. Azure Blob Storage
C. IBM Object Storage
D. Amazon AWS S3

Answer: B,D

Explanation:
Purity CloudSnap is a feature of Pure Storage FlashArray that enables customers to offload snapshots to public cloud storage for long-term retention or disaster recovery purposes. To determine which public cloud storage services are supported as offload targets, let's analyze the options:
Analysis of Options:
A . Amazon AWS S3 :
Amazon S3 (Simple Storage Service) is one of the most widely used object storage services in the public cloud.
Purity CloudSnap supports AWS S3 as an offload target, making it a valid choice.
B . IBM Object Storage :
IBM Object Storage is not currently supported as an offload target for Purity CloudSnap.
Pure Storage focuses on integration with major cloud providers like AWS and Azure.
C . Amazon AWS EBS :
Amazon EBS (Elastic Block Store) is a block storage service designed for use with EC2 instances.
However, CloudSnap does not support AWS EBS as an offload target because it is intended for object storage services like S3.
D . Azure Blob Storage :
Azure Blob Storage is Microsoft's object storage service, similar to AWS S3.
Purity CloudSnap supports Azure Blob Storage as an offload target, making it a valid choice.
Recommendation:
The correct answers are A. Amazon AWS S3 and D. Azure Blob Storage , as these are the supported public cloud storage services for CloudSnap.
Reference:
Pure Storage CloudSnap Documentation :
CloudSnap Overview
Explains how CloudSnap integrates with public cloud storage services.
Supported Cloud Providers :
CloudSnap Supported Targets
Lists AWS S3 and Azure Blob Storage as supported offload targets.

NEW QUESTION # 30
What architectural design simplifies controller upgrades from FlashArray//XR2 to //XR3?

A. Re-use of existing HBAs to prevent WWN changes
B. InfiniBand connectivity between controllers
C. NVRAM modules in both controllers
D. Common controller chassis for both models

Answer: D

Explanation:
The architectural design that simplifies controller upgrades from FlashArray//XR2 to //XR3 is the use of a common controller chassis for both models. This design allows customers to upgrade their controllers without replacing the entire array chassis, minimizing downtime and complexity during the upgrade process.
Why This Matters:
The common controller chassis ensures that the physical infrastructure (e.g., drive shelves, power supplies, and other components) remains unchanged during the upgrade. Only the controllers themselves need to be swapped out, which significantly reduces the time and effort required for the upgrade.
This approach also eliminates the need for re-cabling or reconfiguring the array, as the chassis and its connections remain consistent between the two models.
Why Not the Other Options?
B . InfiniBand connectivity between controllers: While InfiniBand is used for high-speed communication between controllers in FlashArray systems, it is not directly related to simplifying controller upgrades. It is a feature of the architecture but does not address the ease of upgrading between models.
C . NVRAM modules in both controllers: NVRAM (Non-Volatile RAM) is used to ensure data integrity during power loss, but it is not a factor in simplifying controller upgrades. Both XR2 and XR3 models include NVRAM, so this is not unique to the upgrade process.
D . Re-use of existing HBAs to prevent WWN changes: While reusing HBAs can help avoid changes to World Wide Names (WWNs), this is not a key factor in simplifying the upgrade process. The common controller chassis is the primary design feature that streamlines the upgrade.
Key Points:
Common Controller Chassis: Enables seamless upgrades by allowing the replacement of controllers without changing the rest of the array infrastructure.
Minimized Downtime: Reduces the time and complexity of upgrades, ensuring minimal disruption to operations.
Consistency Across Models: Ensures compatibility and continuity between different generations of FlashArray controllers.
Reference:
Pure Storage FlashArray//X Documentation: "Controller Upgrade Process and Best Practices" Pure Storage Whitepaper: "Evergreen Architecture and Controller Upgrades" Pure Storage Knowledge Base: "Upgrading FlashArray Controllers Without Downtime"

NEW QUESTION # 31
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 # 32
Refer to the exhibit.

Which VM is running on the ESXi host with the lowest write latency?

A. c14-s145-wl1
B. C14-s108-wl1
C. c14-s102-wl1
D. c14-d51-w12

Answer: D

Explanation:
Write Latency:
Write latency refers to the time it takes for a write operation to complete on the storage array. Lower write latency indicates better performance and faster response times for write-intensive workloads.
In Pure Storage arrays, write latency is typically measured in milliseconds (ms) and can be monitored using tools like Pure1 or Purity//FA performance metrics.
VM-to-Host Mapping:
Each VM runs on an ESXi host, and the write latency of the VM is influenced by the storage performance characteristics of the host it resides on.
To identify the VM with the lowest write latency, we must compare the write latency values for each VM listed in the exhibit.

NEW QUESTION # 33
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