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The second version is the web-based format of the Pure Storage FlashArray Architect Associate (FAAA_005) practice test. Browsers such as Internet Explorer, Microsoft Edge, Firefox, Safari, and Chrome support the web-based practice exam. You don't have to install excessive plugins or software to attempt this Pure Storage FlashArray Architect Associate (FAAA_005) practice test.
| Section | Objectives |
|---|---|
| Topic 1: Data Protection and Disaster Recovery | - Snapshots and replication - Protection groups and schedules - ActiveCluster and ActiveDR |
| Topic 2: FlashArray Configuration and Management | - Array initialization and setup - Pure1 management plane - Host connectivity and multipathing - Storage provisioning and volume management |
| Topic 3: Integration and Ecosystem | - Third-party integrations - Pure Storage Evergreen subscription model - API and automation |
| Topic 4: Performance and Optimization | - Performance monitoring and analysis - Best practices for workload optimization - FlashArray efficiency features (deduplication, compression) |
| Topic 5: FlashArray Fundamentals | - FlashArray hardware architecture and components - FlashArray product portfolio and use cases - Storage concepts (volumes, hosts, protection groups) |
The TestKingIT recognizes that Pure Storage FAAA_005 aspirants are constantly juggling multiple responsibilities, so questions are ideal for quick preparation. Applicants can access these questions anywhere and at any time, using any smart device, which allows them to learn at their own pace. The Pure Storage FlashArray Architect Associate (FAAA_005) Questions are portable and you can also print them.
NEW QUESTION # 52
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?
Answer: A
Explanation:
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
NEW QUESTION # 53
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?
Answer: C
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 # 54
Which two public cloud storage services are supported as offload targets for Purity CloudSnap? (Choose two.)
Answer: A,C
Explanation:
Purity CloudSnap is a feature of Pure Storage FlashArray that enables customers to offload snapshots to public cloud storage for long-term retention or disaster recovery purposes. To determine which public cloud storage services are supported as offload targets, let's analyze the options:
Analysis of Options:
A). Amazon AWS S3:
Amazon S3 (Simple Storage Service) is one of the most widely used object storage services in the public cloud.
Purity CloudSnap supports AWS S3 as an offload target, making it a valid choice.
B). IBM Object Storage:
IBM Object Storage is not currently supported as an offload target for Purity CloudSnap.
Pure Storage focuses on integration with major cloud providers like AWS and Azure.
C). Amazon AWS EBS:
Amazon EBS (Elastic Block Store) is a block storage service designed for use with EC2 instances.
However, CloudSnap does not support AWS EBS as an offload target because it is intended for object storage services like S3.
D). Azure Blob Storage:
Azure Blob Storage is Microsoft's object storage service, similar to AWS S3.
Purity CloudSnap supports Azure Blob Storage as an offload target, making it a valid choice.
Recommendation:
The correct answers are
A). Amazon AWS S3 and
D). Azure Blob Storage, as these are the supported public cloud storage services for CloudSnap.
Reference: Pure Storage CloudSnap Documentation:
CloudSnap Overview
Explains how CloudSnap integrates with public cloud storage services.
Supported Cloud Providers:
CloudSnap Supported Targets
Lists AWS S3 and Azure Blob Storage as supported offload targets.
NEW QUESTION # 55
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: C
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 # 56
The customer asks if the FlashArray is suitable for a cloud-native application that utilizes containers and Kubernetes.
Which response addresses this question?
Answer: A
Explanation:
The FlashArray is suitable for cloud-native applications that utilize containers and Kubernetes, but the best way to address this use case is through Pure Storage's Portworx offering.
Why This Matters:
Portworx:
Portworx is a container storage and data management platform specifically designed for Kubernetes and cloud-native applications. It integrates seamlessly with FlashArray to provide persistent storage, data protection, and advanced features like snapshots, replication, and disaster recovery for containerized workloads.
Portworx ensures high performance, scalability, and reliability for stateful applications running in Kubernetes environments.
Why Not the Other Options?
A). This is not supported with FlashArray and this application data will need to be stored on a different array:
This statement is incorrect. FlashArray is fully capable of supporting cloud-native applications when paired with the right tools, such as Portworx.
B). This is supported via an installable CSI provider specifically for the FlashArray:
While FlashArray does support a Container Storage Interface (CSI) driver, it is a basic integration and does not provide the advanced features and capabilities offered by Portworx for Kubernetes environments.
D). This is supported and Pure uses a software layer that is only compatible with DAS storage in Kubernetes:
This statement is incorrect. Pure Storage solutions are compatible with both direct-attached storage (DAS) and external storage arrays like FlashArray.
Key Points:
Portworx: The recommended solution for integrating FlashArray with Kubernetes and containerized applications.
Advanced Features: Provides persistent storage, data protection, and scalability for cloud-native workloads.
Integration: Ensures seamless compatibility between FlashArray and Kubernetes environments.
Reference: Pure Storage Portworx Documentation: "Integrating Portworx with FlashArray" Pure Storage Whitepaper: "Cloud-Native Storage Solutions with Portworx" Pure Storage Knowledge Base: "Best Practices for Kubernetes and FlashArray Integration"
NEW QUESTION # 57
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