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FAAA_004 Exam, FAAA_004 Testking

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Pure Storage FAAA_004 Testking - FAAA_004 Zertifizierung

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Pure Storage FAAA_004 Prüfungsplan:

Thema
Einzelheiten

Thema 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".

Thema 2

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.

Thema 3

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.

Pure Storage FlashArray Architect Associate FAAA_004 Prüfungsfragen mit Lösungen (Q46-Q51):

46. Frage
A customer wants to store 100 TiB of Oracle data and 200 TiB of VDI data onto a FlashArray. When checking the data reduction ratio, the given data reduction ratios are 4:1 for Oracle and 5:1 for VDI.
What is the minimum useable capacity needed on the FlashArray?

A. 40TiB
B. 300TiB
C. 65TiB
D. 750TiB

Antwort: A

47. Frage
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. ActiveCluster
B. Asynchronous snapshot replication
C. ActiveDR

Antwort: C

Begründung:
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"

48. Frage
Refer to the exhibit.

Which FlashArray controller(s) does the exhibit show?

A. Top: CTO, Bottom: CT1
B. Top: Primary, Bottom: Secondary
C. Top: CT1, Bottom: CT2

Antwort: C

Begründung:
Exhibit controllers of a Pure Storage FlashArray , specifically labeled as CT1 (top) and CT2 (bottom). This labeling is consistent with Pure Storage's naming convention for its controllers.
Why This Matters:
Controller Identification:
Pure Storage FlashArray controllers are typically labeled as CT1 and CT2 to distinguish between the two controllers in an active/active architecture.
Both controllers work together to provide high availability and redundancy, ensuring seamless operation even if one controller is offline for maintenance or upgrades.
Active/Active Architecture:
In an active/active design, both controllers share the workload equally. If one controller is taken offline, the other seamlessly handles all I/O operations without impacting performance or availability.
Why Not the Other Options?
B . Top: Primary, Bottom: Secondary:
Pure Storage does not use "Primary" and "Secondary" labels for its controllers. Instead, it uses specific identifiers like CT1 and CT2 to refer to the controllers.
C . Top: CTO, Bottom: CT1:
The label "CTO" is not a valid designation for FlashArray controllers. Pure Storage consistently uses CT1 and CT2 to identify the controllers.
Key Points:
Controller Labels: Pure Storage FlashArray controllers are labeled as CT1 and CT2.
Active/Active Design: Both controllers operate simultaneously to ensure high availability and performance.
Redundancy: The dual-controller architecture provides fault tolerance and minimizes downtime during maintenance or failures.
Reference:
Pure Storage FlashArray Documentation: "Understanding FlashArray Controller Architecture" Pure Storage Knowledge Base: "Identifying FlashArray Controllers" Pure Storage Whitepaper: "Active/Active Controller Design for High Availability"

49. Frage
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. 46 TiB
B. 12 TiB
C. 28 TiB
D. 177 TiB

Antwort: D

Begründung:
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

50. Frage
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. Snapshot cleanup and garbage collection
C. Capacity consolidation and cloning
D. Deep deduplication and deep compression

Antwort: D

Begründung:
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"

51. Frage
......

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