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Pure Storage FlashArray Architect Associate Sample Questions (Q50-Q55):

NEW QUESTION # 50
Refer to the exhibit.

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

A. C14-s108-wl1
B. c14-s145-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 # 51
What is the return window as defined by the Love Your Storage Guarantee?

A. 60 days
B. 90 days
C. 15 days
D. 30 days

Answer: D

Explanation:
The return window as defined by the Love Your Storage Guarantee is 30 days .
Why This Matters:
Love Your Storage Guarantee:
This guarantee allows customers to return or exchange hardware components (e.g., controllers) within a specified return window if they do not meet their needs.
The 30-day return window ensures customers have sufficient time to evaluate the hardware and make adjustments as needed.
Why Not the Other Options?
A . 15 days:
A 15-day return window would be too short for most customers to fully evaluate their hardware and make informed decisions.
C . 60 days:
While 60 days is longer, it exceeds the standard return window defined by Pure Storage for the Love Your Storage Guarantee.
D . 90 days:
A 90-day return window is significantly longer than the standard 30-day period and is not aligned with Pure Storage's policies.
Key Points:
30-Day Return Window: Provides customers with ample time to evaluate hardware components.
Customer-Centric Approach: Reflects Pure Storage's commitment to ensuring customer satisfaction.
Policy Compliance: Ensures alignment with Pure Storage's official return policies.
Reference:
Pure Storage Evergreen//Forever Documentation: "Love Your Storage Guarantee Terms and Conditions" Pure Storage Knowledge Base: "Understanding the Love Your Storage Return Policy"

NEW QUESTION # 52
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. 12 TiB
B. 177 TiB
C. 28 TiB
D. 46 TiB

Answer: B

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 # 53
During a controller upgrade of a Pure Storage FlashArray, what aspect of array design ensures there will be no tangible impact on performance?

A. Stateful controller architecture
B. Primary/secondary controller architecture
C. Active/active controller architecture
D. Active/passive controller front-ends ports

Answer: C

Explanation:
During a controller upgrade of a Pure Storage FlashArray, the active/active controller architecture ensures there will be no tangible impact on performance. This design allows both controllers to handle I/O operations simultaneously, so even if one controller is being upgraded, the other can continue processing workloads without interruption.
Why This Matters:
Active/Active Architecture: In an active/active design, both controllers share the workload equally. If one controller is taken offline for maintenance or upgrades, the remaining controller seamlessly handles all I/O operations.
This ensures continuous availability and consistent performance during upgrades, minimizing downtime and user impact.
Why Not the Other Options?
B . Stateful controller architecture:
While stateful architectures maintain session information, they do not inherently ensure no performance impact during upgrades. The key factor here is the active/active design.
C . Active/passive controller front-end ports:
In an active/passive design, only one controller is actively handling I/O at any given time. If the active controller is upgraded, the passive controller must take over, which can lead to temporary performance degradation.
D . Primary/secondary controller architecture:
Similar to active/passive, this design relies on a primary controller for all operations, making it less resilient during upgrades compared to active/active.
Key Points:
Active/Active Design: Ensures continuous I/O processing during upgrades.
Seamless Upgrades: Minimizes performance impact and downtime for users.
High Availability: Maintains consistent performance and reliability throughout the upgrade process.
Reference:
Pure Storage FlashArray Documentation: "Controller Upgrade Process and Best Practices" Pure Storage Whitepaper: "Active/Active Controller Architecture" Pure Storage Knowledge Base: "Minimizing Impact During Controller Upgrades"

NEW QUESTION # 54
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. Add another disk pool for file storage to their current FlashArray
B. NDU the FlashArray //X to a //XL and run both workloads there
C. Run both workloads on the current FlashArray
D. Purchase an entry level FlashBlade for the file workload

Answer: C

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 # 55
......

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