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H13-611 Exam Format | H13-611 Course Contents | H13-611 Course Outline | H13-611 Exam Syllabus | H13-611 Exam Objectives

H13-611 Exam Information and Guideline

Huawei Certified ICT Associate - HCIA-Storage V5.0



Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.





Exam Code: H13-611, H13-611_V5.0-ENU
Exam Name: HCIA-Storage V5.0
Exam Level: Associate (Entry-level)
Duration: 90 minutes
Number of Questions: Approximately 60
Passing Score: 600/1000
Exam Format: Multiple-choice (single and multiple answers), drag-and-drop, and scenario-based questions
Language: Available in English and Chinese

Domain 1: Understanding Storage Technology Trends
- Latest storage technologies and trends.
- Storage technologies for AI, big data, and cloud.
- Introduction to storage ecosystems.

Domain 2: Understanding Basic Storage Technologies
- Storage architecture, devices, and protocols.
- Fundamental principles of storage design and implementation.
- Storage networking technologies (e.g., FCSAN, IPSAN).

Domain 3: Understanding Huawei Intelligent Storage Products and Features
- Features and functionalities of Huawei storage products.
- Configuration and management of Huawei storage solutions.

Domain 4: Understanding Storage System O&M Management
- Operation and maintenance of storage systems in data centers.
- Business continuity solutions and their applications.
- Storage system troubleshooting and management.

1. Understanding Storage Technology Trends (5%)
- Evolution of storage technologies in the context of AI, big data, and cloud computing.
- Introduction to storage ecosystems and their components.
- Industry trends impacting storage (e.g., intelligent storage, software-defined storage).
- Storage requirements for AI-driven workloads.
- Big data storage architectures and scalability.
- Cloud storage models (public, private, hybrid).
- Storage ecosystem components (hardware, software, protocols).
- Software-Defined Storage (SDS): A storage architecture that separates storage management from underlying hardware.
- Cloud Storage: Scalable storage services hosted on cloud infrastructure.
- Big Data: Large, complex datasets requiring specialized storage solutions.
- Artificial Intelligence (AI): Use of machine learning and analytics in storage optimization.
- Storage Ecosystem: Interconnected components (e.g., servers, storage devices, networks) for data management.

2. Understanding Basic Storage Technologies (50%)
- Storage system architectures and components.
- Storage devices, media, and their characteristics.
- Storage networking technologies (FCSAN, IPSAN, NAS).
- Data organization and access methods.
- Basic storage principles (e.g., RAID, data protection).

- Storage System Architecture:
- Controller-based vs. distributed architectures.
- Block, file, and object storage.
- Storage Devices:
- Hard Disk Drives (HDDs), Solid-State Drives (SSDs), and tape storage.
- Storage interfaces (SATA, SAS, NVMe).
- Storage Networking:
- Fibre Channel SAN (FCSAN): Components, zoning, and topologies.
- IP SAN (iSCSI): Configuration and use cases.
- Network-Attached Storage (NAS): Protocols (NFS, CIFS/SMB).
- Data Organization:
- Logical Unit Number (LUN) management.
- File systems and their roles.
- RAID Technologies:
- RAID levels (0, 1, 5, 6, 10, 50).
- RAID performance and redundancy.
- Data Protection:
- Backup and recovery methods.
- Snapshot and replication technologies.

- Block Storage: Data stored in fixed-size blocks, used in SAN environments.
- File Storage: Data stored in hierarchical file structures, used in NAS.
- Object Storage: Data stored as objects with metadata, used in cloud environments.
- Fibre Channel (FC): High-speed network protocol for SANs.
- iSCSI (Internet Small Computer Systems Interface): IP-based protocol for SAN storage.
- NAS (Network-Attached Storage): File-level storage accessible over a network.
- RAID (Redundant Array of Independent Disks): Technology for data redundancy and performance.
- LUN (Logical Unit Number): Identifier for a storage device or partition.
- Snapshot: Point-in-time copy of data for backup or recovery.
- NVMe (Non-Volatile Memory Express): High-performance storage protocol for SSDs.
- Zoning: Logical grouping of devices in a SAN for access control.
- CIFS/SMB: Protocols for file sharing in Windows environments.
- NFS (Network File System): Protocol for file sharing in UNIX/Linux environments.

3. Understanding Huawei Intelligent Storage Products and Features (35%)
- Overview of Huawei storage products (e.g., OceanStor series).
- Key features of Huawei intelligent storage solutions.
- Configuration and management of Huawei storage systems.
- Application scenarios for Huawei storage products.

- Huawei Storage Products:
- OceanStor Dorado (all-flash storage).
- OceanStor Pacific (mass data storage).
- OceanStor (hybrid flash storage).
- Intelligent Features:
- SmartTier: Automated data tiering for performance optimization.
- SmartDedupe: Data deduplication for storage efficiency.
- SmartCompression: Real-time data compression.
- HyperMetro: Active-active storage for high availability.
- HyperSnap: Snapshot technology for data protection.
- Configuration and Management:
- Storage system initialization and setup.
- Storage pool and LUN configuration.
- DeviceManager and eService for management.
- Use Cases:
- Enterprise data centers.
- Virtualization and cloud environments.
- Database and big data analytics.

- OceanStor: Huawei’s flagship storage product line.
- Dorado: Huawei’s all-flash storage for high-performance workloads.
- SmartTier: Dynamic data placement across storage tiers.
- HyperMetro: Dual-active storage solution for zero data loss.
- SmartDedupe: Elimination of redundant data to save space.
- SmartCompression: Inline data compression for efficiency.
- HyperSnap: Huawei’s snapshot technology for backups.
- DeviceManager: Huawei’s storage management software.
- eService: Cloud-based management and maintenance platform.
- Storage Pool: Logical grouping of physical storage resources.

4. Understanding Storage System O&M Management (10%)
- Storage system operation and maintenance (O&M) processes.
- Business continuity and disaster recovery solutions.
- Troubleshooting common storage issues.
- Performance monitoring and optimization.

- O&M Processes:
- System monitoring and health checks.
- Capacity planning and resource allocation.
- Business Continuity:
- Backup and restore procedures.
- Disaster recovery (DR) planning and replication.
- Troubleshooting:
- Diagnosing connectivity issues in SAN/NAS environments.
- Resolving performance bottlenecks.
- Performance Optimization:
- Monitoring IOPS, latency, and throughput.
- Tuning storage configurations for workloads.

- O&M (Operation and Maintenance): Routine tasks to ensure system reliability.
- Disaster Recovery (DR): Strategies to restore data and services after failures.
- Replication: Copying data to a secondary site for redundancy.
- IOPS (Input/Output Operations Per Second): Measure of storage performance.
- Latency: Time taken for a storage operation to complete.
- Throughput: Data transfer rate in a storage system.
- Backup: Copy of data for recovery purposes.
- High Availability (HA): System design to minimize downtime.

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