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Pure Storage FlashArray Architect Associate Sample Questions (Q33-Q38):
NEW QUESTION # 33
Refer to the exhibit.
Which VM is running on the ESXi host with the lowest write latency?
- A. c14-s145-wl1
- B. c14-d51-w12
- C. c14-s102-wl1
- D. C14-s108-wl1
Answer: B
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 # 34
What is the minimally required FlashArray model that includes the DirectCompress Accelerator (DCA)?
- A. FlashArray//X90 R4
- B. FlashArray//X70 R4
- C. FlashArray//XL130
- D. FlashArray//X70 R3
Answer: B
Explanation:
The DirectCompress Accelerator (DCA) is a hardware component introduced in certain FlashArray models to enhance inline data compression performance. To determine the minimally required FlashArray model that includes DCA, let's analyze the options:
Analysis of Options:
A). FlashArray//X70 R4:
The FlashArray//X70 R4 was the first model to include the DirectCompress Accelerator (DCA). This makes it the minimally required model for DCA support.
B). FlashArray//X70 R3:
The FlashArray//X70 R3 does not include the DCA. It relies on software-based compression, which is less efficient than hardware-accelerated compression.
C). FlashArray//X90 R4:
The FlashArray//X90 R4 includes DCA but is a higher-tier model than the X70 R4. While it supports DCA, it is not the minimal requirement.
D). FlashArray//XL130:
The FlashArray//XL130 is a high-performance model that includes DCA, but it is overkill for this requirement and not the minimal model.
Recommendation:
The correct answer is
A). FlashArray//X70 R4, as it is the first model to include the DirectCompress Accelerator (DCA).
Reference: FlashArray Hardware Specifications:
FlashArray Models
Details the features and capabilities of each FlashArray model.
DirectCompress Accelerator Overview:
DirectCompress Accelerator
Explains the benefits and availability of DCA.
NEW QUESTION # 35
A cost-conscious customer at a small regional hospital is running a PACS image archive on an NL-disk array.
The customer has the following requirements:
* More than 1 PB of storage
* Latency is not a concern
* Customer user shares must be on the same array
Which solution will meet the customer's needs?
- A. FlashArray//C
- B. FlashArray//XL
- C. FlashArray//X
Answer: A
Explanation:
The customer at the small regional hospital requires a storage solution for a PACS image archive with the following requirements:
More than 1 PB of storage
Latency is not a concern
Customer user shares must be on the same array
The best solution to meet these needs is FlashArray//C.
Why This Matters:
FlashArray//C:
FlashArray//C is designed for capacity-optimized workloads, making it ideal for use cases like PACS image archives that require large amounts of storage at a lower cost per GB.
It supports QLC flash technology, which provides high density and cost efficiency for less performance-intensive workloads.
With its ability to scale to over 1 PB of storage, FlashArray//C can meet the customer's capacity requirements while supporting both block and file workloads (e.g., user shares) on the same array using FA File Services.
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 large capacities, it is more expensive and not the most cost-effective solution for latency-insensitive workloads like PACS archives.
B). FlashArray//XL:
FlashArray//XL is designed for extreme-scale workloads requiring massive performance and capacity. It is overkill for this use case and would significantly increase costs without providing proportional benefits.
Key Points:
FlashArray//C: Provides high-density storage at a low cost per GB, ideal for large-scale, latency-insensitive workloads.
Unified Storage: Supports both block and file workloads on the same array, meeting the requirement for user shares.
Cost Efficiency: Balances performance and cost, making it suitable for PACS archives and similar use cases.
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 # 36
A customer has presented two workloads that need to be replicated. One is a highly transactional database workload and the other is a VM datastore with tier one applications.
The customer has the following requirements:
* The database workload is highly reliant on storage performance The VM datastore requires zero downtime.
* The customer has advised the two FlashArrays will be 20 miles apart and they are worried that this could impact their internal SLAs.
What replication strategies should be advised for these workloads?
- A. ActiveDR should be used for the VM workloads and ActiveCluster for the database workload.
- B. ActiveCluster should be used for the VM workloads and ActiveDR for the database workload.
- C. ActiveDR should be used for both workloads.
- D. ActiveCluster should be used for both workloads.
Answer: B
Explanation:
To address the customer's requirements, we need to evaluate the replication strategies offered by Pure Storage FlashArray: ActiveCluster and ActiveDR, and how they align with the specific needs of the two workloads.
Workload Analysis:
Transactional Database Workload:
This workload is highly reliant on storage performance. Any replication strategy must ensure minimal latency and high availability to avoid impacting transactional throughput and response times.
The database workload typically benefits from synchronous replication to maintain consistency and performance across sites.
VM Datastore (Tier 1 Applications):
This workload requires zero downtime, meaning it must remain accessible even in the event of a site failure. High availability and seamless failover are critical.
The VM datastore can tolerate some level of asynchronous replication as long as it does not compromise availability or recovery objectives.
Replication Strategies:
ActiveCluster:
ActiveCluster is a synchronous replication solution that provides active-active high availability across two FlashArrays. It ensures zero RPO (Recovery Point Objective) and zero RTO (Recovery Time Objective), making it ideal for workloads requiring continuous availability and zero downtime.
ActiveCluster is well-suited for the VM datastore workload because it guarantees seamless failover and high availability, meeting the zero-downtime requirement.
ActiveDR:
ActiveDR is an asynchronous replication solution designed for disaster recovery scenarios. It provides near-zero RPO (typically seconds to minutes) and allows for non-disruptive testing of failover scenarios.
ActiveDR is better suited for the transactional database workload because it minimizes the impact of latency over the 20-mile distance while still maintaining high performance and consistency.
Distance Consideration:
The 20-mile distance between the two FlashArrays introduces latency concerns. Synchronous replication (ActiveCluster) can handle this distance effectively for the VM datastore workload due to its tolerance for slightly higher latency. However, for the transactional database workload, the latency could degrade performance, making ActiveDR a better choice.
Final Recommendation:
Use ActiveCluster for the VM datastore workload to achieve zero downtime and high availability.
Use ActiveDR for the transactional database workload to balance performance and disaster recovery needs over the 20-mile distance.
Reference: Pure Storage ActiveCluster Documentation:
Explains the synchronous replication capabilities and use cases for ActiveCluster.
Pure Storage ActiveCluster
Pure Storage ActiveDR Documentation:
Details the asynchronous replication features and disaster recovery use cases for ActiveDR.
Pure Storage ActiveDR
Pure Storage Best Practices for Replication:
Provides guidance on selecting the appropriate replication strategy based on workload requirements and distance considerations.
Pure Storage Replication Best Practices
Pure Storage Architectural Guides:
Covers architectural considerations for deploying ActiveCluster and ActiveDR in multi-site environments.
Pure Storage Architectural Guides
This approach ensures that both workloads meet their respective SLAs while addressing the customer's concerns about distance and performance.
NEW QUESTION # 37
Refer to the exhibit.
What does the depicted value 77.24 T represent?
- A. Total raw space on the array
- B. The guaranteed capacity
- C. Total deduplicated space
- D. Total useable space
Answer: B
Explanation:
The value 77.24 T in the context of Pure Storage FlashArray represents C. The guaranteed capacity.
Detailed Explanation
Guaranteed Capacity is a feature of Pure Storage's Evergreen subscription model. It reflects the effective capacity Pure Storage commits to the customer based on their typical data reduction ratios (deduplication, compression, and pattern removal). This value is calculated as:
Guaranteed Capacity=Physical Raw Capacity×Data Reduction Factor (DRF)Guaranteed Capacity=Physi cal Raw Capacity×Data Reduction Factor (DRF) Pure typically guarantees a minimum DRF (e.g., 3:1 for many workloads), but actual savings often exceed this.
Why Not the Other Options?
A). Total usable space: This would include the total logical capacity after data reduction and overheads (RAID-HD, metadata), which is usually larger than the guaranteed capacity.
B). Total raw space: This refers to the physical capacity of drives (e.g., 100TB raw). The value shown (77.24T) is smaller than raw, so this is incorrect.
D). Total deduplicated space: Pure Storage combines dedupe, compression, and pattern removal into a single "data reduction" metric. Deduplication alone is not isolated in capacity reporting.
Official
Reference: Pure Storage documentation explicitly defines Guaranteed Capacity as the "logical capacity Pure commits to deliver, factoring in data reduction." This aligns with the Evergreen//Forever subscription model, where customers pay for usable capacity, not raw storage.
NEW QUESTION # 38
......
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