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Pure Storage FAAA_004 Exam Syllabus Topics:

Topic	Details
Topic 1	Array Monitoring and Architecture: This section measures the skills of Storage Architects and covers explaining FlashArray's high availability architecture, defining FlashArray features (e.g., ActiveCluster, ActiveDR), explaining data reduction methods, identifying components of FlashArrays, and analyzing performance metrics and capacity usage using Pure1 Manage3. A crucial skill evaluated is "analyzing performance metrics".
Topic 2	Qualify, Sell, and Architect: This section of the exam assesses the skills of Technical Sales Engineers and covers identifying solutions based on customer requirements, sizing solutions based on customer needs using tools like Pure FlashArray Sizer, identifying market trends and opportunities (e.g., Ransomware and Portworx Solution Centers), demonstrating an understanding of FlashArray use cases, and demonstrating an understanding of unified storage on FlashArray37. A key skill measured is "identifying solutions based on customer requirements.
Topic 3	Subscriptions and DX: This section evaluates the competencies of Account Managers regarding Pure Storage's subscription services and digital experience. It focuses on identifying the benefits of Pure's Evergreen program (Evergreen One, Forever, Flex) and Love Your Storage Guarantee, as well as determining future capacity, performance, and upgrade requirements through workload and hardware simulations.

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Pure Storage FlashArray Architect Associate Sample Questions (Q53-Q58):

NEW QUESTION # 53
What should a protection group in a stretched pod be used for?

A. Integrating ActiveCluster with async snapshot replication
B. Using CloudSnap to offload to a third-site target
C. Configuring fan-out async snapshot replication
D. Initiating ActiveDR failover/failback in a test scenario

Answer: A

Explanation:
A protection group in a stretched pod should be used for integrating ActiveCluster with asynchronous snapshot replication . This combination allows for synchronous replication within the stretched pod (using ActiveCluster) while also enabling asynchronous replication to a third site for additional disaster recovery protection.
Why This Matters:
ActiveCluster: Provides synchronous replication between two sites within a stretched pod, ensuring zero RPO and near-zero RTO for high availability.
Async Snapshot Replication: Extends the disaster recovery strategy by replicating snapshots asynchronously to a third site, providing an additional layer of protection against regional failures.
Combining these features ensures both local high availability and remote disaster recovery.
Why Not the Other Options?
B . Using CloudSnap to offload to a third-site target:
CloudSnap is used to offload snapshots to cloud storage (e.g., AWS S3 or Azure Blob). While it is useful for backup purposes, it does not integrate with ActiveCluster for synchronous replication.
C . Initiating ActiveDR failover/failback in a test scenario:
ActiveDR is designed for asynchronous replication and failover/failback scenarios but does not integrate with ActiveCluster in a stretched pod configuration.
D . Configuring fan-out async snapshot replication:
Fan-out replication involves sending snapshots to multiple targets asynchronously. However, this does not align with the use case of integrating ActiveCluster with async replication for a stretched pod.
Key Points:
Stretched Pod: Enables synchronous replication across two sites using ActiveCluster.
Async Replication: Adds a third-site replication target for comprehensive disaster recovery.
Integrated Protection: Combines high availability and disaster recovery into a single solution.
Reference:
Pure Storage FlashArray Documentation: "ActiveCluster with Async Replication" Pure Storage Whitepaper: "Disaster Recovery Strategies with FlashArray" Pure Storage Knowledge Base: "Using Protection Groups in Stretched Pods"

NEW QUESTION # 54
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//C60R3 366 TB
B. FlashArray//X70R3 228 TB
C. FlashArray//C40R3 247 TB
D. FlashArray//C60R3 878 TB

Answer: C

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 # 55
A customer has two data centers: one in North America and one in England. The customer wants to replicate their production data across data centers, with as low an RPO as possible.
What Pure Storage feature meets their requirements?

A. Asynchronous snapshot replication
B. ActiveCluster
C. ActiveDR

Answer: C

Explanation:
The customer wants to replicate production data across two data centers (North America and England) with as low an RPO as possible . The best Pure Storage feature to meet this requirement is ActiveDR .
Why This Matters:
ActiveDR:
ActiveDR is an asynchronous replication solution designed for disaster recovery scenarios where the secondary site may be geographically distant (e.g., across continents).
It provides low RPOs , typically in the range of seconds to minutes , depending on network conditions and workload characteristics.
ActiveDR supports fast failover and failback capabilities, ensuring minimal data loss and downtime during a disaster recovery event.
Why Not the Other Options?
A . ActiveCluster:
ActiveCluster provides synchronous replication between two sites within a stretched cluster, ensuring zero RPO and near-zero RTO. However, it requires both sites to be within a low-latency range (typically <10 ms). Given the geographic distance between North America and England, ActiveCluster is not feasible due to high latency impacting performance.
C . Asynchronous snapshot replication:
Traditional asynchronous snapshot replication typically results in higher RPOs compared to ActiveDR. It does not provide the same level of optimization for low RPOs as ActiveDR.
Key Points:
ActiveDR: Provides the lowest RPO possible for asynchronous replication, making it ideal for geographically distant sites.
Network Latency: ActiveDR is designed to work efficiently over longer distances and higher latencies compared to synchronous solutions like ActiveCluster.
Disaster Recovery: Ensures protection against site failures with minimal data loss and downtime.
Reference:
Pure Storage FlashArray Documentation: "ActiveDR for Disaster Recovery" Pure Storage Whitepaper: "Meeting RPO and RTO Requirements with FlashArray" Pure Storage Knowledge Base: "Choosing the Right Replication Solution for High Latency"

NEW QUESTION # 56
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. Capacity consolidation and cloning
C. Deep deduplication and deep compression
D. Snapshot cleanup and garbage collection

Answer: C

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 # 57
Refer to the exhibit.

What is the total amount of usable storage space consumed on this FlashArray system?

A. 5.58 T
B. 4.36 T
C. 1.22 T
D. 3.87 T

Answer: D

Explanation:
Why This Matters:
Usable Storage Space Consumed:
The "usable storage space consumed" refers to the actual physical capacity used on the array after accounting for RAID overhead but before applying data reduction techniques like deduplication and compression.
This value represents the raw space utilized by the data stored on the array, excluding any logical space savings from data reduction.
Why Not the Other Options?
B . 5.58 T:
This value likely represents the logical capacity provisioned or consumed after applying data reduction techniques (e.g., deduplication and compression). However, the question specifically asks for the usable storage space consumed , which excludes logical space savings.
C . 1.22 T:
This value might represent the raw capacity of the drives or some other metric unrelated to the usable storage space consumed. It does not align with the definition of usable storage space.
D . 4.36 T:
This value could represent an intermediate calculation or another metric, but it does not match the usable storage space consumed as shown in the exhibit.
Key Points:
Usable Storage Space Consumed: Represents the physical capacity used on the array after RAID overhead but before data reduction.
Logical vs. Physical Capacity: Logical capacity reflects space savings from deduplication and compression, while usable storage space reflects the actual physical usage.
Exhibit Analysis: Carefully interpret the metrics provided in the exhibit to identify the correct value.
Reference:
Pure Storage FlashArray Documentation: "Understanding Array Capacity Metrics" Pure Storage Whitepaper: "Capacity Management and Data Reduction" Pure Storage Knowledge Base: "What is Usable Space vs. Raw Space?"

NEW QUESTION # 58
......

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HIGH-QUALITY FAAA_004 PDF & PASSING FAAA_004 EXAM IS NO MORE A CHALLENGING TASK

High-quality FAAA_004 PDF & Passing FAAA_004 Exam is No More a Challenging Task