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FAAA_004 Reliable Exam Sims - 100% Pass First-grade FAAA_004 - Cheap Pure Storage FlashArray Architect Associate Dumps

FAAA_004 Reliable Exam Sims - 100% Pass First-grade FAAA_004 - Cheap Pure Storage FlashArray Architect Associate Dumps

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Pure Storage FlashArray Architect Associate Sample Questions (Q43-Q48):

NEW QUESTION # 43
A customer is reviewing their disaster recovery strategy and want to replicate their data to a secondary datacenter. They have stated that they have internal SLAs around RPO and RTO that they are not currently meeting.
Which two FlashArray features should the SE focus on? (Choose two.)

  • A. ActiveDR
  • B. CloudSnap
  • C. FlashRecover
  • D. ActiveCluster

Answer: A,C

Explanation:
The customer is reviewing their disaster recovery (DR) strategy and wants to replicate data to a secondary datacenter while addressing internal SLAs for RPO (Recovery Point Objective) and RTO (Recovery Time Objective) . To meet these requirements, the SE should focus on two key Pure Storage FlashArray features: FlashRecover and ActiveDR .
Why These Features?
FlashRecover:
FlashRecover is a snapshot-based replication feature that allows efficient point-in-time copies of data to be replicated to a secondary site.
It helps achieve low RPOs by enabling frequent snapshots and replication to the DR site.
This ensures minimal data loss in the event of a failure.
ActiveDR:
ActiveDR is a disaster recovery solution that provides asynchronous replication between two FlashArrays.
It is specifically designed to minimize RTO by enabling fast failover and failback capabilities.
ActiveDR ensures that the secondary site is always ready to take over with minimal downtime, meeting strict RTO requirements.
Why Not the Other Options?
B . ActiveCluster:
ActiveCluster is a synchronous replication solution for high availability across two sites. While it provides zero RPO and near-zero RTO, it requires both sites to be within synchronous distance (typically <10ms latency). Since the customer is replicating to a secondary datacenter (likely farther away), ActiveCluster is not suitable.
C . CloudSnap:
CloudSnap is a feature that offloads snapshots to cloud storage (e.g., AWS S3 or Azure Blob). While it is useful for backup and archival purposes, it does not provide the real-time replication and failover capabilities needed for DR with strict RPO and RTO SLAs.
Key Points:
FlashRecover: Enables efficient replication with low RPOs through snapshot-based replication.
ActiveDR: Provides asynchronous replication with fast failover and failback capabilities to meet RTO requirements.
SLA Alignment: Both features are designed to help customers meet their internal SLAs for RPO and RTO.
Reference:
Pure Storage FlashArray Documentation: "Disaster Recovery with FlashRecover and ActiveDR" Pure Storage Whitepaper: "Meeting RPO and RTO Requirements with FlashArray" Pure Storage Knowledge Base: "Best Practices for Disaster Recovery Planning"


NEW QUESTION # 44
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//X
  • C. FlashArray//XL

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 # 45
A customer wants to have more insight into and control of their Pure Storage FlashArray and VMware environment from a single user interface. What does the customer need to do to enable this capability in their environment?

  • A. Log in to the FlashArray GUI and install the plugin for vSphere Client
  • B. Ensure all VMware API for Array Integration (VAAI) primitives are enabled
  • C. Configure FlashArray Management Pack for vRealize Operations Manager
  • D. Install Pure Storage SRA for VMware Site Recovery Manager (SRM)

Answer: C

Explanation:
To gain more insight and control over their Pure Storage FlashArray and VMware environment from a single user interface, the customer should configure the FlashArray Management Pack for vRealize Operations Manager (vROps) . Here's why:
Analysis of Options:
A . Ensure all VMware API for Array Integration (VAAI) primitives are enabled :
VAAI is a set of APIs that offloads storage tasks from the ESXi host to the storage array, improving performance and efficiency. However, it does not provide a unified interface for managing both FlashArray and VMware environments.
B . Log in to the FlashArray GUI and install the plugin for vSphere Client :
While the FlashArray plugin for vSphere Client provides some integration, such as provisioning and monitoring FlashArray volumes directly from the vSphere Client, it does not offer comprehensive visibility and control over both environments from a single interface.
C . Configure FlashArray Management Pack for vRealize Operations Manager :
The FlashArray Management Pack for vROps integrates Pure Storage FlashArray with VMware vRealize Operations Manager, enabling centralized monitoring, analytics, and management of both environments from a single pane of glass.
This solution provides deep insights into storage performance, capacity utilization, and health metrics, making it the ideal choice for the customer's requirement.
D . Install Pure Storage SRA for VMware Site Recovery Manager (SRM) :
The Pure Storage Storage Replication Adapter (SRA) is used for disaster recovery orchestration with VMware SRM. It does not provide a unified interface for managing FlashArray and VMware environments.
Recommendation:
The correct answer is C. Configure FlashArray Management Pack for vRealize Operations Manager , as it fulfills the customer's need for a single user interface to manage both FlashArray and VMware environments.
Reference:
Pure Storage FlashArray Management Pack for vROps Documentation :
FlashArray Management Pack for vROps
Explains how to integrate FlashArray with vROps for unified monitoring and management.
Pure Storage VMware Integration Overview :
Pure Storage VMware Integration
Provides an overview of Pure Storage's VMware integration solutions.


NEW QUESTION # 46
A controller receives a write request.
If it generates a hash that is already recorded in the hash table, what happens next?

  • A. Deep level compression is then applied to the newly hashed block.
  • B. The new block is compared to the existing block to confirm they are duplicates.
  • C. The next incoming block is then hashed to see if it can be deduplicated.
  • D. Purity//FA will expand the block to see if it can deduplicate a larger dataset.

Answer: B

Explanation:
When a controller generates a hash for an incoming write request and finds that the hash already exists in the hash table, the next step is to compare the new block to the existing block to confirm they are duplicates .
Why This Matters:
Hash Collision Handling:
Hash functions can sometimes produce the same hash value for different data blocks (a "hash collision"). To ensure data integrity, the system must verify that the new block is identical to the existing block before deduplication occurs.
Data Integrity:
Comparing the blocks ensures that only true duplicates are deduplicated, preventing data corruption or loss due to hash collisions.
Why Not the Other Options?
A . The next incoming block is then hashed to see if it can be deduplicated:
Hashing the next block is unnecessary at this stage. The focus is on verifying whether the current block is a duplicate.
B . Deep level compression is then applied to the newly hashed block:
Compression is a separate process from deduplication and does not occur immediately after hashing.
D . Purity//FA will expand the block to see if it can deduplicate a larger dataset:
Expanding the block is not part of the deduplication process. Deduplication operates on individual blocks, not larger datasets.
Key Points:
Hash Table Lookup: Identifies potential duplicates based on hash values.
Block Comparison: Confirms that the new block matches the existing block to ensure data integrity.
Deduplication: Eliminates redundant data to optimize storage efficiency.
Reference:
Pure Storage FlashArray Documentation: "Understanding Deduplication in Purity//FA" Pure Storage Whitepaper: "Data Reduction Techniques in FlashArray" Pure Storage Knowledge Base: "How Deduplication Works in FlashArray"


NEW QUESTION # 47
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. FlashArray's deduplication effectiveness will usually increase as the data quantity grows.
  • D. The Right-Size Guarantee means that the customer can work with their SE if necessary.

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 # 48
......

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