#ccie training

[ethical-hacking-training]

As technology continues to advance at an exponential rate, the IT industry offers a plethora of promising career paths. Two such pathways that have gained significant attention are pursuing a career in CCIE (Cisco Certified Internetwork Expert) or Cloud Computing. Both fields hold immense potential for growth and career development, making the decision between the two a tough one for aspiring IT professionals. In this blog, we will delve into the key aspects of each domain and explore why seeking guidance from a reputed institute like "Networkers Champ Institute" can be crucial in making an informed career choice.

[meet-soni-blog]

Remote File Access - FTP

Lab Objective: Learn how to save configurations using File Transfer Protocol. 

Lab Purpose: Any data which is not backed up, you risk losing. On corporate networks, you should have a detailed backup and recovery plan. You may well use Secure FTP or some other secure method. In this lab, we will back up your router configuration using FTP (File Transfer Protocol).

Lab Tool: Cisco Packet Tracer

Lab Topology: 

Task 1: Connect a router to a server using a cross-over cable. 

Task 2:

Enter ‘no’ and press enter for the message. ‘Would you like to enter the initial configuration dialogue? [yes/no]:’

Configure an IP address on your Ethernet interface on your router. 

Task 3: Configure an IP address on your server's Ethernet interface. Set the default gateway address to the router. 

Task 4: Ping the router from the server.

Task 5: Router configurations are stored in NVRAM, but you need to save the live configuration there in order to populate it. Use the ‘copy run start’ command in the privileged mode of the router. Any values inside the [] are the default, so just press the enter key.

Task 6: Configure FTP credentials on the server. User the username ‘demo’ and password ‘pass’. Trick all the access level boxes and then ‘Add’.

Task 7: Add the FTP username and Password to the router using the global configuration mode. 

Task 8: Copy the router configuration to the FTP server. Rename the saved file to ‘router-meet’. If you had to copy it back, you would need to rename it to ‘Router-config’ but don’t worry about that for now.

Task 9: Check that file is on the FTP server. You will have to click on another service and back onto FTP because there is no refresh key. 

[technomasterglobal]

[nitizsharmaglobaltech]

Data Center Security: Best Practices for Protecting Your Digital Assets

In today’s digital landscape, data centers are the backbone of modern businesses, hosting critical data and applications that drive daily operations. As cyber threats become more sophisticated, ensuring the security of these assets is more important than ever. 

Implementing robust security practices in data centers is essential to protect sensitive information from both external and internal threats. This blog will explore the best practices for data center security, including physical security, network protection, data encryption, and disaster recovery planning. 

Additionally, professionals seeking to enhance their expertise in data center security can benefit from CCIE Data Center training, which equips them with the skills needed to design and manage secure data center infrastructures.

Why Data Center Security Matters

Protection Against Data Breaches: Data centers house vast amounts of sensitive and valuable data, making them prime targets for cybercriminals.

Business Continuity: Data center security ensures that services remain operational without interruption, avoiding downtime and revenue loss.

Regulatory Compliance: Data center security is critical for maintaining compliance with industry standards and laws like GDPR, HIPAA, and PCI-DSS.

Essential Physical Security Best Practices

Access Control:

Utilize biometric scanners, keycards, and PINs to restrict access to authorized personnel only.

Implement multi-factor authentication (MFA) for added protection.

Surveillance Systems:

Install video surveillance systems throughout the data center, especially at entry points and critical infrastructure areas.

Monitor video feeds 24/7 to detect any suspicious activity.

Data Center Perimeter:

Ensure physical barriers such as fences, gates, and security personnel are in place to prevent unauthorized entry.

Secure the perimeter to safeguard against external threats and physical break-ins.

Strengthening Network Security

Firewalls and IDS/IPS:

Deploy firewalls to filter malicious traffic and prevent unauthorized network access.

Implement Intrusion Detection and Prevention Systems (IDS/IPS) to identify and block malicious activity.

Segmentation and Isolation:

Segment the network to isolate sensitive data and systems from general network traffic, reducing exposure.

Use VLANs or private subnets for further isolation.

Encryption:

Encrypt sensitive data both at rest and in transit to prevent unauthorized access in case of a breach.

Use strong encryption standards such as AES-256.

Robust Access Control Mechanisms

Role-Based Access Control (RBAC):

Grant access based on job roles to ensure that only authorized personnel have access to critical data and infrastructure.

Review access permissions regularly to ensure compliance with the principle of least privilege.

Multi-Factor Authentication (MFA):

Implement MFA for all administrative access to the data center.

Use a combination of password, biometrics, and physical tokens for enhanced security.

Regular Audits:

Conduct regular access audits to ensure that only authorized individuals are accessing critical systems.

Track login attempts and unauthorized access to identify potential vulnerabilities.

Data Protection Strategies

Encryption:

Encrypt both data at rest (stored data) and data in transit (data moving between systems) to prevent unauthorized access.

Ensure strong encryption protocols are used, such as AES-256, for maximum protection.

Backup Solutions:

Implement regular backup processes to protect critical data from loss.

Store backups offsite or in the cloud to ensure they remain safe in case of physical damage to the data center.

Disaster Recovery and Continuity Planning

Backup Protocols:

Ensure that data is backed up regularly, including system configurations, applications, and critical files.

Use automated backup solutions to reduce human error.

Disaster Recovery Plans:

Develop and regularly update a disaster recovery plan (DRP) that outlines procedures for recovering from system failures or data loss.

Include strategies for restoring data, applications, and services quickly after a disaster.

Redundancy Systems:

Implement redundant power sources, cooling systems, and network connections to ensure continuous operation during failures.

Use multiple data centers in different geographical locations for additional disaster recovery options.

Compliance and Legal Obligations

Regulatory Standards:

Ensure compliance with relevant industry regulations such as GDPR, HIPAA, PCI-DSS, and SOC 2, which mandate specific security measures for data protection.

Regularly update data center security policies and practices to remain compliant with changing regulations.

Staying Compliant:

Perform regular security audits to ensure that all necessary legal and regulatory requirements are met.

Maintain thorough documentation of security measures and procedures to demonstrate compliance during audits.

Training and Employee Awareness

Security Training:

Provide ongoing training for all employees on data center security best practices, recognizing phishing attempts, and handling sensitive data securely.

Regularly update employees on the latest security threats and techniques to avoid them.

Preventing Insider Threats:

Educate staff on the risks posed by insiders and implement strict monitoring for unusual behavior.

Encourage a culture of security awareness where employees are vigilant and report any suspicious activities.

Emerging Cybersecurity Threats and Solutions

Ransomware and DDoS Attacks:

Prepare for the growing threat of ransomware attacks by implementing strong backup solutions and network isolation strategies.

Use Distributed Denial of Service (DDoS) mitigation tools to protect against large-scale attacks that aim to overwhelm network resources.

AI in Cybersecurity:

Leverage artificial intelligence (AI) and machine learning (ML) to detect anomalies and identify potential threats in real-time.

Use AI-powered security systems to enhance threat detection and automate responses to security breaches.

Incident Response and Monitoring

Monitoring Systems:

Implement continuous network monitoring to detect potential threats and vulnerabilities early on.

Use Security Information and Event Management (SIEM) systems to collect, analyze, and respond to security events in real-time.

Incident Response Plan:

Develop an incident response plan (IRP) that defines the steps to take in the event of a security breach.

Ensure the IRP is tested regularly and that employees are trained in handling security incidents.

Conclusion: Building a Secure Data Center Infrastructure

A secure data center is essential for safeguarding your digital assets and ensuring the integrity of your business operations. By following these best practices for physical security, network protection, data encryption, and compliance, organizations can mitigate risks and maintain a resilient, secure infrastructure. 

Additionally, investing in CCIE Data Center Training can help professionals gain the expertise needed to design, implement, and maintain secure data center environments. As cybersecurity threats continue to evolve, staying vigilant and adapting security strategies is crucial to defending against potential breaches. By prioritizing data center security, businesses can ensure that their critical data remains protected, secure, and available.

[cciehub]

Master advanced networking concepts with our CCIE Service Provider training. This comprehensive course covers MPLS, BGP, QoS, IP multicast, and segment routing. ccie service provider training Gain hands-on experience with real-world scenarios, lab simulations, and expert-led instruction. Designed for networking professionals, this program equips you to excel in the CCIE Service Provider certification exam and advance your career.

[puspendratalks]

CCIE Data Center V3.0 Training and Certification- CCIE HUB Technology

The CCIE data center is a reputed networking certification. It is recognized as a network engineer's proof of skill, knowledge, and expertise. It offers deep technical knowledge to make a professional ready to take on the data center assignment challenges in the industry.

The CCIE certification is recognized globally as the pattern and the program is continuously upgraded by Cisco. The program quality, tested methods, and the relevance of the program to the core industry practices make it a desirable course for someone looking for a jump in their IT career.

[networkerguru]

https://www.networkersguru.com/ccie-enterprise-lab/

Networkers Guru offers top-notch CCIE Enterprise lab training in Gurgaon, providing expert guidance for mastering advanced networking skills.

[lanwan123]

CCIE service provider training program

The CCIE Service Provider training program is an advanced certification advertised by Cisco Frameworks, planned for IT experts looking for skill in designing, implementing, and managing complex benefit supplier systems. The CCIE Service Provider training program  covers a wide extent of points, counting progressed directing and exchanging, MPLS, BGP, and organized mechanization. Members pick up hands-on encounters and in-depth information to exceed expectations within the field of benefit supplier organizing.

[dynamips]

Cracking the Code: CCIE Enterprise Infrastructure Training Demystified

Becoming a Cisco Certified Internetwork Expert (CCIE) in Enterprise Infrastructure is a significant milestone in the field of networking. It signifies an exceptional level of knowledge, expertise, and skills required to design, deploy, and manage complex enterprise networks. However, the journey to achieving this prestigious certification can be challenging and intimidating for many aspiring professionals. In this blog, we will demystify CCIE Enterprise Infrastructure training, unraveling the secrets behind cracking the code and providing valuable insights to help you navigate this transformative learning experience.

1.            Understanding CCIE Enterprise Infrastructure: We kickstart our exploration by delving into the world of CCIE Enterprise Infrastructure. We provide a comprehensive overview of the certification, its importance in the industry, and the skills it validates. By understanding the scope and significance of CCIE Enterprise Infrastructure, you'll gain a clearer picture of the training journey ahead.

2.            Navigating the Training Path: Embarking on the CCIE Enterprise Infrastructure training path can seem daunting, but it becomes much more manageable when broken down into actionable steps. We guide you through the key components of the training process, including prerequisites, recommended resources, and available training options. By demystifying the training path, we empower you to make informed decisions and optimize your learning experience.

3.            Choosing the Right Training Approach: With numerous training options available, selecting the right approach is crucial for success. We explore various training methods, including self-study, instructor-led courses, and immersive boot camps. By comparing the pros and cons of each approach, we help you determine the best fit for your learning style, schedule, and budget.

4.            Essential Study Resources: CCIE Enterprise Infrastructure demands a solid foundation of knowledge across various networking domains. We highlight essential study resources such as Cisco documentation, official certification guides, practice exams, and virtual labs. These resources will aid you in building a comprehensive understanding of the technologies and concepts required for the certification.

5.            Practical Lab Experience: The CCIE Enterprise Infrastructure exam includes a hands-on lab component that assesses your ability to design, implement, and troubleshoot complex network scenarios. We discuss the importance of practical lab experience and share tips for setting up your own lab environment using virtualization technologies like GNS3 or EVE-NG. Additionally, we provide insights into practicing lab scenarios and honing your skills effectively.

6.            The Role of Practice Exams: Practice exams are invaluable tools in preparing for the CCIE Enterprise Infrastructure certification. We explore the significance of practice exams in simulating real exam conditions, identifying knowledge gaps, and improving time management skills. Furthermore, we recommend reputable practice exam resources and strategies for maximizing their effectiveness in your preparation.

7.            Tackling the Exam: Tips and Strategies: As you approach the CCIE Enterprise Infrastructure exam, having a solid game plan is crucial. We share practical tips and strategies for exam day, including time management techniques, question interpretation, and troubleshooting approaches. By familiarizing yourself with these tips, you'll enter the exam room with confidence and a clear strategy for success.

8.            Beyond Certification: Continuing Professional Development: CCIE Enterprise Infrastructure training is not just about earning a certification; it's a lifelong commitment to continuous learning and professional growth. We discuss the importance of ongoing education, industry engagement, and staying up-to-date with evolving networking technologies. This section emphasizes the long-term benefits of CCIE Enterprise Infrastructure training and its impact on your career progression.

Conclusion:

In this blog, we have demystified CCIE Enterprise Infrastructure training, guiding you through the key aspects of the certification journey. By cracking the code and understanding the training process, choosing the right resources, and adopting effective study strategies, you'll be well-equipped to embark on your path towards becoming a CCIE Enterprise Infrastructure expert. Remember, success lies in dedication, perseverance, and a thirst for knowledge. So, embrace the challenge, unlock your potential, and let your CCIE journey begin!

[firewallfc]

Advantages and disadvantages of Bus topology

Advantages -It works well for a small network. -Easy to implement -It requires a smaller number of cables as compared to a star topology. -It is easy to connect or remove devices without affecting the network. -Very cost-effective

Disadvantages -This is not great for a large network. -Complete network will fail if the backbone cable is damaged. -Require a terminator at both ends of the cable to stop the signal from bouncing back. -There is a high number of packet losses.

https://firewallfc.com/2023/04/09/bus-topology/

[nitizsharmaglobaltech]

Evolution of Data Centers in the Age of AI and Machine Learning

As artificial intelligence (AI) and machine learning (ML) continue to revolutionize industries, data centers are undergoing significant transformations to meet the evolving demands of these technologies. This article explores the evolution of data centers from traditional models to advanced infrastructures tailored for AI and ML workloads.

Key considerations such as architectural flexibility, the role of specialized hardware, and the need for innovative cooling and data management solutions will be discussed. Additionally, we will delve into emerging trends like edge computing and quantum computing, which are shaping the future landscape of data centers in the age of AI and ML. To effectively manage these transformations, CCIE Data Center Training provides professionals with the expertise needed to navigate the complexities of modern data center environments.

Historical Overview: From Traditional to Modern Data Centers

Traditional Data Centers: Originally, data centers were primarily built on physical infrastructure with dedicated servers, network hardware, and storage systems. They focused on high reliability and uptime but were often inflexible and resource-intensive.

Emergence of Virtualization: The advent of virtualization technology allowed for more efficient resource utilization, leading to the rise of virtual machines (VMs) that could run multiple operating systems on a single physical server.

Cloud Computing Era: The introduction of cloud computing transformed data centers into scalable and flexible environments. This shift allowed organizations to leverage resources on demand, reducing capital expenditures and improving operational efficiency.

Modern Data Centers: Today's data centers are highly automated, utilizing software-defined networking (SDN) and storage (SDS) to enhance flexibility and reduce management complexity. They are designed to support various workloads, including artificial intelligence (AI) and machine learning (ML).

Key AI/ML Infrastructure Demands on Data Centers

High-Performance Computing (HPC): AI and ML require substantial computing power, necessitating infrastructures that can handle intensive workloads.

Scalability: The ability to quickly scale resources to accommodate fluctuating demands is critical for AI applications.

Low Latency: Real-time data processing is essential for AI applications, requiring architectures optimized for minimal latency.

Role of GPUs, TPUs, and Specialized Hardware in AI Data Centers

Graphics Processing Units (GPUs): GPUs are crucial for training AI models due to their ability to perform parallel processing, making them significantly faster than traditional CPUs for certain tasks.

Tensor Processing Units (TPUs): Developed by Google, TPUs are specialized hardware designed specifically for accelerating ML workloads, particularly for neural network models.

Custom AI Hardware: As AI continues to evolve, data centers are increasingly adopting custom chips and accelerators tailored for specific AI workloads, further enhancing performance.

Data Center Architecture for AI Workloads

Distributed Computing: AI workloads often require distributed architectures that can manage large datasets across multiple nodes.

Microservices: Adopting a microservices architecture allows for greater flexibility and faster deployment of AI applications.

Hybrid Architecture: Many organizations are employing hybrid architectures, combining on-premises data centers with public cloud resources to optimize performance and cost.

Cooling Solutions for High-Performance AI Data Centers

Advanced Cooling Techniques: Traditional air cooling is often inadequate for high-performance AI data centers. Innovative cooling solutions, such as liquid cooling and immersion cooling, are being utilized to manage the heat generated by dense compute clusters.

Energy Efficiency: Implementing energy-efficient cooling solutions not only reduces operational costs but also aligns with sustainability goals.

Data Management and Storage Requirements for AI/ML

Data Lakes: AI applications require large volumes of data, necessitating robust data management strategies, such as data lakes that support unstructured data storage.

Real-time Data Processing: The ability to ingest and process data in real-time is crucial for many AI applications, requiring optimized storage solutions that provide quick access to data.

The Role of Edge Computing in AI-Powered Data Centers

Edge Computing Overview: Edge computing involves processing data closer to the source rather than relying solely on centralized data centers. This is particularly important for IoT applications where latency is a concern.

AI at the Edge: Integrating AI capabilities at the edge allows for real-time analytics and decision-making, enhancing operational efficiencies and reducing bandwidth usage.

Security Challenges and Solutions for AI-Driven Data Centers

Increased Attack Surface: The complexity of AI-driven data centers creates more potential vulnerabilities, necessitating robust security measures.

AI in Cybersecurity: Leveraging AI for threat detection and response can enhance security postures, enabling quicker identification of anomalies and potential breaches.

Automation and Orchestration in AI-Enabled Data Centers

Role of Automation: Automation is critical for managing the complexities of AI workloads, enabling efficient resource allocation and scaling.

Orchestration Tools: Utilizing orchestration platforms helps in managing hybrid environments and optimizing workload distribution across different infrastructures.

Environmental and Energy Implications of AI in Data Centers

Energy Consumption: AI workloads can significantly increase energy consumption in data centers, leading to heightened operational costs and environmental concerns.

Sustainable Practices: Implementing sustainable practices, such as using renewable energy sources and improving energy efficiency, can mitigate the environmental impact of data centers.

Future Trends: Quantum Computing and AI Data Centers

Quantum Computing Potential: Quantum computing holds the potential to revolutionize AI by solving complex problems much faster than classical computers.

Integration of Quantum and AI: As quantum technology matures, the integration of quantum computing into AI data centers could enable unprecedented advancements in AI capabilities.

Impact of AI-Driven Data Centers on Industry Sectors

Healthcare: AI-driven data centers enhance data analysis for better patient outcomes and personalized medicine.

Finance: AI applications in data centers support real-time fraud detection and algorithmic trading.

Manufacturing: Automation and predictive analytics facilitated by AI in data centers optimize supply chain management and operational efficiency.

Conclusion:

In conclusion, the evolution of data centers in the age of AI and machine learning marks a significant transformation in how organizations manage and process data. From enhanced infrastructure demands and the integration of specialized hardware to innovative cooling solutions and energy-efficient practices, these advancements are reshaping the landscape of data management. 

As industries increasingly rely on AI-driven capabilities, data centers must adapt to meet emerging challenges while optimizing for performance and sustainability.For professionals looking to excel in this evolving environment, obtaining certifications like CCIE Data Center can provide the necessary skills and knowledge to navigate these complexities. Embracing these changes will empower organizations to harness the full potential of AI, driving innovation and efficiency across various sectors.

[technomasterglobal]

We provide online live Cloud Computing Training in Liverpool by Industry Experts at TechnoMaster. Visit the site to attend a trial class. Contact +919895490866 for more information. Learn topics such as Overview Cloud and Google Cloud Platform, Virtual Machines, Cloud IAM, Data Storage Services, App Engine, Functions, Cloud Run, Resource Management, Resource Monitoring, Interconnecting Networks, Load Balancing and Autoscaling, Google Kubernetes Engine, Maintenance and Monitoring Cloud Migrations etc

[puspendratalks]

Unlock Your IT Potential: Master CCIE Data Center V3.0 with This Ultimate Guide!

The CCIE data center is a reputed networking certification. It is recognized as a network engineer's proof of skill, knowledge, and expertise. It offers deep technical knowledge to make a professional ready to take on the data center assignment challenges in the industry.

The CCIE certification is recognized globally as the pattern and the program is continuously upgraded by Cisco. The program quality, tested methods, and the relevance of the program to the core industry practices make it a desirable course for someone looking for a jump in their IT career.

About the program

The CCIE data center course is conducted by certified Cisco instructors. The students get access to the latest physical equipment as recommended by the CCIE Data Center v3.0 Lab. The course is reviewed frequently to update it as per requirements.

Here is the list of qualifying exams: 

Network

Automation

Security

Storage Network

Compute

Here are the lab exams to appear for the qualifying:

Data Center L2/L3 Connectivity

Data Center Storage Protocols and Features

Data Center Automation and Orchestration

Data Center Fabric Infrastructure

Data Center Security and Network Services

Data Center Compute

Data Center Fabric Connectivity

Who should enroll in the certification program?

Apply For CCIE Data Center Training and Certification

The course is apt for:

Network engineers who have appeared for the core exam

Network engineers who come with at least 5 to 7 years of experience in deployment, designing, operation, and optimisation of the Cisco data center technologies

Network engineers that use the expert level process to solve problems and carry out option analysis to support the technologies and the topologies of the data center

Network designers who support and design data center technologies

The course is apt for professionals and students who are working in the technology and IT sectors and wish to enhance their learning and gain a globally recognised professional certification that can help improve their job prospects.

Prerequisites for the course

To gain complete benefit from the course you should have the below skills and knowledge.

Be familiar with TCP/IP networking and ethernet

Understand routing, networking protocols, and switching

A foundation knowledge of Cisco ACI

Understanding of SANs

Familiar with the fiber Channel protocol

Be able to identify the products in the Cisco MDS families. the Cisco Data enter neNxus and the Data Center architecture

Understand the architecture and the server system design

Be familiar with the virtualization fundamentals

Skills earned by professionals after CCIE Data Center training

Students gain hands-on experience on the Cisco Nexus switches, the Cisco MDS switches, Cisco USC C-series rack servers, and Cisco Unified Computing System B-Series Blade Servers

They gain practice on ways to implement the key ACI capabilities like polices and fabric discovery

Students are taught to deploy SAN capabilities like Role-based access control, virtual storage area networks, n-port visualization fabric security, and slow drain analysis

They understand troubleshooting installation, interconnectivity issues, and configuration on the Cisco multilayer director switch switches and the Cisco fabric extenders

The students get hands-on practice to implement the Cisco data center automated solutions which include programming orchestration and concepts and using automated tools

They learn ways to design practices that are focused on the solutions and technologies of the Cisco data center across the network

Benefits of earning the CCIE Data Center Certification

After the course completion, the student can validate create, and analyze the network designs. They understand the capabilities of various solutions and technologies. They are well-versed in translating the clients’ requirements into solutions. Students are capable of operating and deploying the network solutions and can position themselves as a technical leader in enterprise networks. They can combine their design and technical skills and are capable of meeting the new-age tech needs of network programmability and automation.

Exam pattern

The candidate needs to appear for an 8-hour practical exam which accesses their skill on the network lifecycle. The exam has 2 modules each of which has a minimum mark and a passing score. 

Reason to choose CCIE data centre

The Cisco Certified Internetwork Expert is a prestigious certification and here are the reasons why it is one of the most sought-after courses today.

CCIE professionals earn a high salary and many job opportunities open up for them after this certification

The certification is globally recognized and demonstrates the professional’s expertise in Cisco networking technology

Networking is critical to almost all businesses and thus CCIE certification is highly in demand

Those with the certification can demand over 30% higher salary in comparison to their noncertified peers

The certification is designed to keep up with the latest trends in the IT industry and this keeps the skill relevant in the market

Several job opportunities open up for a CCIE certified professionals as consultants, network managers, and network architects

Why learn the CCIE Data Center course from Lan and Wan Technology

Personalised training program that helps students meet their full potential

Certified trainers who come with years of teaching and practical experience

Cost-effective coaching which makes the course value for money

Choice of online and offline courses which give students the flexibility to study as per their comfort

Several courses to choose from as per the professionals’ career dreams 

A mix of theoritical and practical knowledge that offers independent analysis and helps in boosting the student's career

100% job assistance after completing the certification

Interview assistance to help students crack the toughest of rounds

Lan and Wan Technology offers courses that are accredited and help students build their career 

Job opportunities after passing the certification

Once the candidate gets the CCIE Data Center certification they are eligible to work as a Sr. data center engineer, lead consulting systems engineer, LC network designer, or a Sr technical solutions architect

Lan Wan Technology is a trusted CCIE Data Center Training institute that helps and trains students to achieve their goals of being CCIE certified.

FAQ

Who are the ideal candidates to enroll in the CCIE data center training program?

The ideal candidates are those who come with basic networking knowledge as the training is designed to meet the skill set of IT and network engineers.

What are the devices used in the hands-on lab?

The students get a hands-on experience on the CCIR Racks which is based on the latest examination blueprint.

What is the demand for CCIE Data Center experts in the market?

There is a huge demand for certified CCIE Data Center experts as it lets them establish themselves as an expert in their industry.

How much is the passing score in the CCIE Data Center examination?

There are two modules and each module has a minimum and a passing score. The scores are decided based on the difficulty of the exam paper.

What is the pass score and the minimum score?

The pass score corresponds to the competence at an expert level. The minimum score is the lowest minimum scored that you can expect from an expert candidate.

What is the scoring pattern to pass the exam?

The candidate should score higher than the aggregate pass score of both the modules and they should score higher than the minimum score that is set on each of the modules. In case the candidate scores less than the aggregated pass mark of both the modules or gets less than the minimum score on any module then they fail the exam.

What happens if the candidate fails the exam?

If the candidate fails the exam, then they will get a score report that indicates the module that they have failed or passed. They will also get a cumulative scoring percentage on a per-domain level basis across both modules

What can students expect in the exam?

This is an eight-hour practical examination that examines the candidate's skill through the network lifecycle of deploying, designing, and operating the complex scenarios of networking. The exam has 2 modules.