| Exam Code | JN0-1302 |
| Questions and Answers | 55 |
| Premium Access | Yes |
| Online Test Engine | Yes |
| Comprehensive Q&A | Yes |
| Success Rate | 98% |
| Real Questions | Yes |
| Updated Regularly | Yes |
| Portable Files | ✔ |
| Unlimited Download | ✔ |
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| Any Hidden Cost | $0.00 |
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| PDF Compatibility | Windows, Android, iOS, Linux |
| Test Engine Compatibility | Mac/Windows/Android/iOS/Linux |
| Sample Questions |  |
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Exam Details for JN0-1302 Data Center Design Specialist (JNCDS-DC):
Number of Questions: The exam consists of approximately 65 multiple-choice questions.
Time Limit: The total time allocated for the exam is 90 minutes (1 hour and 30 minutes).
Passing Score: To pass the exam, you must achieve a minimum score of 70%.
Exam Format: The exam is conducted online and is proctored. You will be required to answer the questions within the allocated time frame.
Course Outline:
1. Data Center Design Fundamentals:
- Understanding data center design principles and concepts
- Identifying customer requirements and business goals
- Analyzing environmental considerations for data center design
2. Data Center Architecture and Components:
- Understanding data center architecture models
- Designing data center networks and network infrastructure
- Evaluating storage solutions for data centers
3. Data Center Security and Virtualization:
- Implementing data center security measures and best practices
- Designing data center virtualization solutions
- Addressing security and virtualization challenges in data center design
4. Data Center Network Design:
- Designing data center LAN and WAN architectures
- Implementing high availability and redundancy in data center networks
- Addressing scalability and performance requirements in network design
5. Data Center Storage Design:
- Designing storage architectures for data centers
- Evaluating storage protocols and technologies
- Addressing data protection and disaster recovery considerations
6. Data Center Compute Design:
- Designing compute infrastructure for data centers
- Evaluating server technologies and platforms
- Addressing compute resource management and scalability
7. Data Center Management and Operations:
- Designing data center management and monitoring systems
- Addressing automation and orchestration in data center operations
- Implementing capacity planning and resource allocation strategies
Exam Objectives:
1. Understand the fundamentals of data center design.
2. Design data center architecture and components.
3. Implement data center security and virtualization solutions.
4. Design data center network infrastructure.
5. Design data center storage solutions.
6. Design data center compute infrastructure.
7. Implement data center management and operations strategies.
Exam Syllabus:
The exam syllabus covers the following topics:
1. Data Center Design Fundamentals
- Data center design principles and concepts
- Customer requirements and business goals analysis
- Environmental considerations for data center design
2. Data Center Architecture and Components
- Data center architecture models
- Data center networks and infrastructure design
- Storage solutions evaluation for data centers
3. Data Center Security and Virtualization
- Data center security implementation and best practices
- Data center virtualization design
- Security and virtualization challenges in data center design
4. Data Center Network Design
- Data center LAN and WAN architecture design
- High availability and redundancy in data center networks
- Scalability and performance considerations in network design
5. Data Center Storage Design
- Data center storage architecture design
- Storage protocols and technologies evaluation
- Data protection and disaster recovery considerations
6. Data Center Compute Design
- Compute infrastructure design for data centers
- Server technologies and platforms evaluation
- Compute resource management and scalability
7. Data Center Management and Operations
- Data center management and monitoring systems design
- Automation and orchestration in data center operations
- Capacity planning and resource allocation strategies
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