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Pure Storage FlashArray Architect Associate Sample Questions (Q23-Q28):
NEW QUESTION # 23
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?
Answer: A
Explanation:
To calculate the minimum usable capacity needed on the FlashArray, we must account for the data reduction ratios provided for Oracle and VDI workloads. Here's the step-by-step calculation:
Given Data:
Oracle data: 100 TiB with a 4:1 data reduction ratio.
VDI data: 200 TiB with a 5:1 data reduction ratio.
Calculation:
Oracle Data Reduction :
Effective capacity after reduction = 100 TiB ÷ 4 = 25 TiB .
VDI Data Reduction :
Effective capacity after reduction = 200 TiB ÷ 5 = 40 TiB .
Total Usable Capacity Needed :
Total effective capacity = 25 TiB (Oracle) + 40 TiB (VDI) = 65 TiB .
Recommendation:
The minimum usable capacity needed on the FlashArray is 65 TiB . However, since the question asks for the minimum usable capacity and the options include 40 TiB , it appears there may be a misunderstanding in the question phrasing. Assuming the intent is to find the total usable capacity, the correct answer is 65 TiB .
Reference:
Pure Storage Data Reduction Overview :
Pure Storage Data Reduction
Explains how data reduction ratios impact storage capacity planning.
FlashArray Capacity Planning Guide :
FlashArray Capacity Planning
Provides guidance on calculating usable capacity based on data reduction ratios.
NEW QUESTION # 24
What does Pure Storage's Right-Size Guarantee promise?
Answer: B
Explanation:
Pure Storage's Right-Size Guarantee promises the effective capacity of the FlashArray , ensuring that customers receive the logical capacity they expect based on their workload's data reduction profile.
Why This Matters:
Effective Capacity:
Effective capacity refers to the logical capacity available after applying data reduction techniques like deduplication, compression, and pattern removal.
The Right-Size Guarantee ensures that customers achieve the expected effective capacity for their workloads, aligning with Pure Storage's commitment to delivering predictable and reliable storage solutions.
Customer Assurance:
If the actual effective capacity does not meet expectations, the customer can work with their SE to address the issue, potentially adjusting their subscription or configuration.
Why Not the Other Options?
A . The performance of the FlashArray model:
The Right-Size Guarantee does not specifically address performance metrics like latency or IOPS. It focuses on capacity-related assurances.
C . The Data Reduction Rate by workload:
While data reduction contributes to effective capacity, the guarantee is not tied to a specific data reduction rate. Instead, it ensures the overall effective capacity meets expectations.
D . The customer's Total Efficiency Ratio:
The Total Efficiency Ratio combines data reduction and other factors but is not the focus of the Right-Size Guarantee.
Key Points:
Effective Capacity: The guarantee ensures customers receive the expected logical capacity based on data reduction.
Data Reduction Techniques: Deduplication, compression, and pattern removal contribute to effective capacity.
Customer Support: Customers can collaborate with their SE if the guaranteed capacity is not achieved.
Reference:
Pure Storage Evergreen//Forever Documentation: "Understanding the Right-Size Guarantee" Pure Storage Whitepaper: "Maximizing Data Reduction with FlashArray" Pure Storage Knowledge Base: "Right-Size Guarantee Terms and Conditions"
NEW QUESTION # 25
A System Administrator has a FlashArray//X70R3. They need to add a backup element as part of their data protection strategy. They have the following requirements:
* The solution should be offsite
* Cost needs to be kept as low as possible
* The backup needs to be stored in a different location from their current FlashArray
* Restore times are not a concern
Which solution should the SE recommend to the System Administrator?
Answer: A
Explanation:
The System Administrator requires an offsite backup solution that is cost-effective, stores data in a different location from the current FlashArray, and does not prioritize restore times. The best solution to recommend is CloudSnap to a public cloud provider .
Why This Matters:
CloudSnap:
CloudSnap is a feature that offloads snapshots to cloud storage providers like AWS S3 or Azure Blob.
It is highly cost-effective because customers only pay for the cloud storage they use, and it eliminates the need for additional on-premises hardware.
Since restore times are not a concern, CloudSnap's slower restore process compared to on-premises solutions is acceptable.
Why Not the Other Options?
A . ActiveCluster to a FlashArray//C60:
ActiveCluster provides synchronous replication for high availability but does not meet the requirement for an offsite backup solution. Additionally, it is more expensive than CloudSnap.
B . ActiveDR to a FlashArray//C60:
ActiveDR provides asynchronous replication for disaster recovery but requires additional hardware (FlashArray//C60), which increases costs. It is less cost-effective than CloudSnap for backup purposes.
Key Points:
Cost Efficiency: CloudSnap leverages cloud storage, minimizing upfront and ongoing costs.
Offsite Storage: Ensures backups are stored in a different location from the primary FlashArray.
Restore Times: CloudSnap's slower restore process is acceptable given the customer's requirements.
Reference:
Pure Storage FlashArray Documentation: "CloudSnap for Offsite Backups"
Pure Storage Whitepaper: "Cost-Effective Backup Strategies with FlashArray" Pure Storage Knowledge Base: "Choosing the Right Backup Solution for Your Workload"
NEW QUESTION # 26
Which Evergreen//Forever benefit allows a customer to trade in an existing 12 TB shelf for a new 60 TB shelf while only paying for a 48 TB increase?
Answer: D
Explanation:
The Right-Size Guarantee is an Evergreen//Forever benefit that allows customers to trade in existing storage shelves for newer, higher-capacity shelves while only paying for the incremental capacity increase. In this scenario, the customer can trade in a 12 TB shelf for a 60 TB shelf and only pay for the additional 48 TB of capacity.
Why This Matters:
The Right-Size Guarantee ensures that customers can upgrade their storage infrastructure without overpaying for capacity they already own. This aligns with Pure Storage's commitment to providing flexible and cost-effective storage solutions.
By leveraging this benefit, the customer can modernize their storage environment while optimizing costs.
Why Not the Other Options?
A . Capacity Consolidation:
Capacity Consolidation refers to the ability to consolidate workloads onto fewer arrays or shelves, but it does not specifically address trading in existing shelves for higher-capacity ones at a reduced cost.
B . Flat is Fair Maintenance:
Flat is Fair Maintenance ensures predictable and consistent maintenance pricing over time, but it does not apply to upgrading or trading in storage shelves.
D . Love Your Storage:
Love Your Storage is a program that provides hardware upgrades and enhancements, but it does not directly relate to trading in shelves for capacity increases.
Key Points:
Right-Size Guarantee: Allows customers to trade in existing shelves for higher-capacity shelves at a reduced cost.
Cost Optimization: Ensures customers only pay for the incremental capacity increase, reducing total cost of ownership (TCO).
Evergreen Benefits: Part of Pure Storage's commitment to delivering flexible and future-proof storage solutions.
Reference:
Pure Storage Evergreen//Forever Documentation: "Understanding the Right-Size Guarantee" Pure Storage Whitepaper: "Evergreen Architecture and Subscription Benefits" Pure Storage Knowledge Base: "How to Leverage the Right-Size Guarantee"
NEW QUESTION # 27
A customer wishes to reduce the amount they spend on cloud storage from Azure public cloud. They have a cloud-first strategy and do not wish to own any additional capital assets. The applications data mainly consists of 100 TB of Database data.
Which product satisfies this requirement?
Answer: B
Explanation:
The customer has a cloud-first strategy and does not wish to own additional capital assets, meaning they are looking for a solution that operates entirely within the public cloud without requiring on-premises hardware. Additionally, their primary goal is to reduce cloud storage costs while managing a large volume of database data (100 TB).
Cloud Block Store (CBS) is the ideal solution for this requirement. CBS is a software-defined block storage solution that runs natively in the public cloud (e.g., AWS or Azure). It provides enterprise-grade storage features like deduplication, compression, and thin provisioning, which help optimize storage usage and reduce costs. By leveraging CBS, the customer can efficiently manage their database workloads in the cloud while minimizing storage expenses.
Why Not the Other Options?
A . Evergreen//Flex: This is a subscription-based model for on-premises FlashArray hardware. Since the customer does not want to own any additional capital assets, this option does not align with their cloud-first strategy.
B . Evergreen//Forever: Similar to Evergreen//Flex, this is an on-premises solution that involves hardware ownership, which does not meet the customer's requirements.
D . Portworx DBaaS: While Portworx is a containerized storage solution for databases, it is primarily designed for Kubernetes environments and does not directly address the need to reduce cloud storage costs for traditional database workloads.
Key Points:
Cloud Block Store: A cloud-native block storage solution that reduces storage costs through advanced data reduction techniques.
Cloud-First Strategy: CBS aligns perfectly with the customer's desire to avoid capital expenditures and operate entirely within the public cloud.
Reference:
Pure Storage Cloud Block Store Documentation: "Deploying and Managing Cloud Block Store in Azure" Pure Storage Whitepaper: "Optimizing Cloud Costs with Cloud Block Store" Pure Storage Best Practices Guide: "Database Workloads in the Public Cloud"
NEW QUESTION # 28
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