| Exam Code | H13-622 |
| Questions and Answers | 178 |
| Premium Access | Yes |
| Online Test Engine | Yes |
| Comprehensive Q&A | Yes |
| Success Rate | 98% |
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| Updated Regularly | Yes |
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| Sample Questions |  |
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Exam Details for H13-622 HCNP-Storage-HCNP-CBDS (Huawei Certified Network Professional- Constructing Big Data Solution):
Number of Questions: The H13-622 exam consists of approximately 60 to 70 questions.
Time Limit: The exam has a time limit of 90 minutes.
Course Outline:
The HCNP-Storage-HCNP-CBDS certification is designed to validate the skills and knowledge required to construct big data solutions using Huawei storage products. The course covers the following key topics:
1. Big Data Overview:
- Introduction to big data concepts and technologies
- Characteristics and challenges of big data
- Big data analytics and processing frameworks
2. Big Data Storage:
- Introduction to big data storage technologies
- Distributed file systems for big data storage
- Scalable storage architectures and solutions
- Data lifecycle management in big data environments
3. Big Data Computing:
- Overview of big data computing technologies
- Hadoop ecosystem and components
- Distributed data processing frameworks (e.g., MapReduce, Spark)
- Data parallelism and distributed computing models
4. Big Data Networking:
- Network infrastructure requirements for big data solutions
- Network protocols and technologies used in big data environments
- Network design considerations for big data applications
- Data security and privacy in big data networks
5. Big Data Management and Analysis:
- Data acquisition and ingestion techniques
- Data cleansing and preprocessing
- Data integration and transformation
- Data visualization and analysis tools
Exam Objectives:
The H13-622 exam aims to assess the following objectives:
1. Understanding of big data concepts, technologies, and challenges.
2. Proficiency in designing and implementing big data storage solutions using Huawei products.
3. Knowledge of big data computing frameworks and their application in data processing.
4. Competence in designing and configuring big data networks for efficient data transmission and processing.
5. Skills in managing, analyzing, and visualizing big data using appropriate tools and techniques.
6. Awareness of data security and privacy considerations in big data environments.
Exam Syllabus:
The H13-622 exam covers the following syllabus:
1. Big Data Overview
- Big data concepts and technologies
- Big data analytics and processing frameworks
2. Big Data Storage
- Distributed file systems
- Scalable storage architectures
- Data lifecycle management
3. Big Data Computing
- Hadoop ecosystem
- Distributed data processing frameworks
4. Big Data Networking
- Network infrastructure requirements
- Network protocols and technologies
- Network design considerations
5. Big Data Management and Analysis
- Data acquisition and ingestion
- Data cleansing and preprocessing
- Data integration and transformation
- Data visualization and analysis
Candidates preparing for the H13-622 exam should thoroughly study each topic within the course outline, familiarize themselves with the exam objectives, and ensure they have a comprehensive understanding of the exam syllabus.
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