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Introduction to Hitachi Vantara Certified Expert - Performance Architect, HCE-3700 Exam
The HCE-3700 Hitachi Vantara Certified Expert - Performance Architect certification been designed by the Hitachi to candidates knowledge in terms of designing recommended storage solution for the companies.
HCE-3700 exam is all about covering different scenarios where company needs to use what type of the storage solution provided by the Hitachi Vantara.
Topics of Hitachi Vantara Certified Expert - Performance Architect, HCE-3700 Exam
Candidates who planing for the Hitachi Vantara Certified Expert - Performance Architect, HCE-3700 certification should know course contents before they start of preparation. Here is the contents what our HCE-3700 exam dumps will include:
1. Storage Systems Architecture
- Identify the characteristics of Hitachi storage systems cache architecture that relate to performance optimization.
- Identify the characteristics of Hitachi storage systems processing and path architecture that relate to performance optimization.
- Identify the performance characteristics of the different RAID levels available with Hitachi storage systems.
- Describe storage media characteristics and features that influence performance.
- Describe common performance expectations and measurement criteria.
- Demonstrate understanding of connectivity between the host and the storage array as it relates to performance.
2. Pools, Tiers and Workload Profiles
- Demonstrate how to define and apply Hitachi Dynamic Tiering strategies, and how to monitor performance to meet customer needs and expectations.
- Demonstrate knowledge of Hitachi Dynamic Provisioning and Hitachi Dynamic Tiering concepts as they relate to customer requirements.
- Identify the performance-related data to be collected prior to a design.
- Describe the characteristics and principles of tiering and non-tiering pools, and how to choose between them.
- Demonstrate understanding of workload profiling for the design of storage pools and tiers.
- Demonstrate how to define and apply Hitachi Dynamic Provisioning strategies, and how to monitor performance to meet customer needs and expectations.
3. Storage Virtualization
- Describe the performance aspects of cache partitions as they relate to virtualized storage solutions.
- Describe Hitachi Vantara recommended practices for the deployment of virtualized storage solutions.
- Demonstrate the performance aspects of Hitachi Dynamic Tiering with virtualized storage solutions.
- Demonstrate the performance aspects of Hitachi Dynamic Provisioning with virtualized storage solutions.
4. Performance Tools and Data Acquisition
- Identify industry-standard tools used for performance-data monitoring, data collection, data analysis and workload simulation.
- Describe the performance and configuration data that Hitachi Performance Monitor and Hitachi Tuning Manager collect.
- Describe the data to be collected when planning for capacity growth and performance for Hitachi storage systems.
- Describe the data to be collected to size Hitachi storage solutions to meet customer performance requirements and utilization expectations.
- Demonstrate how to apply workload profile information to industry-standard workload generators.
- Demonstrate how to review Hitachi Dynamic Tiering performance data from Hitachi Performance Monitor and Hitachi Tuning Manager.
5. solution Design and Deployment Planning
- Describe Hitachi Vantara recommended design practices when sizing and configuring Hitachi storage systems for industry-standard database applications.
- Demonstrate your ability to configure Hitachi storage system capacity for planned growth while maintaining the customer's performance requirements.
- Describe Hitachi Vantara recommended design practices when sizing and configuring Hitachi storage systems for non-database application workloads.
- Describe concepts of logical devices, LUNs per port, and queuing as they relate to performance.
- Describe how path management software load-balancing algorithms are used to optimize storage performance.
6. Monitoring and Troubleshooting
- Describe how to analyze performance data, isolate bottlenecks and troubleshoot performancerelated problems of Hitachi storage systems.
- Describe how to troubleshoot performance issues outside of the storage array.
- Describe common and generic principles and concepts used to analyze performance data,isolate bottlenecks and troubleshoot performance-related problems.
- Describe the Hitachi products and services that are available to investigate and identify performance problems.
- Describe how to recognize a replication-related performance problem.
Reference: https://www.hitachivantara.com/en-us/pdf/training/performance-architect-hce-3700-exam.pdf
For more info visit:
HCE-3700 Exam Reference Hitachi Vantara certification Path Hitach Vantara Whitepaper Hitach Vantara Community
Hitachi HCE-3700 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Storage Virtualization | - Virtualization technologies and performance impact - Queuing and path management optimization - Logical device configuration and best practices |
| Topic 2: Storage Systems Architecture | - Cache architecture and processing path design - RAID levels and performance characteristics - Performance metrics and measurement criteria - Storage media characteristics and performance impact - Host-to-storage connectivity and performance |
| Topic 3: Performance Tools and Data Acquisition | - Hitachi Ops Center Analyzer and Tuning Manager - Interpreting performance metrics and trends - Data collection methods and baselining |
| Topic 4: Solution Design and Deployment Planning | - Sizing and configuration for performance - Multipathing and load balancing strategies - Application-specific workload optimization |
| Topic 5: Pools, Tiers and Workload Profiles | - Dynamic tiering and storage pool design - Workload characterization and profiling - Performance data collection and analysis |
| Topic 6: Monitoring and Troubleshooting | - Troubleshooting storage and connectivity issues - Bottleneck identification methodology - Replication and performance impact analysis |
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