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Exam Code: 700-150 Practice exam 2022 by Killexams.com team
700-150 Introduction to Cisco Sales

The Introduction to Cisco Sales, or ICS, online course is designed to provide sales people and sales engineers the foundational information needed to sell Cisco solutions. This course will help prepare you to pass the required Introduction to Cisco Sales exam. As well, these Topics and micromodules can serve as a reference to support customer engagement.

This course consists of micro-modules, covering six key topics:

Cisco Certification, an overview of Ciscos history, vision, partnering, and key offerings
Ciscos Approach to Selling, a description of how Cisco focuses on customers business outcomes
Ciscos Enterprise and Digital Network Architecture (or DNA)
Security Solutions
DC and Cloud Architecture
Collaborative Solutions

The Introduction to Cisco Sales, or ICS, online course is designed to provide sales people and sales engineers the foundational information needed to sell Cisco solutions. This course will help prepare you to pass the required Introduction to Cisco Sales exam. As well, these Topics and micro-modules can serve as a reference to support customer engagement.

Introduction to Cisco Sales
Cisco Introduction test
Killexams : Cisco Introduction test - BingNews https://killexams.com/pass4sure/exam-detail/700-150 Search results Killexams : Cisco Introduction test - BingNews https://killexams.com/pass4sure/exam-detail/700-150 https://killexams.com/exam_list/Cisco Killexams : The new Cisco Enterprise Certification – Everything you need to know

The CCNA Enterprise (Cisco Certified Network Associate) is an IT certification from Cisco Systems.

CCNA 200-301 Certification

  1. The CCNA Enterprise (Cisco Certified Network Associate) is an IT certification from Cisco Systems. The CCNA program began in 1998 with a basic certificate focusing on Routing and Switching. Since then, Cisco has expanded the program to cover many facets of computer networking and network administration, offering certifications at five increasingly demanding levels: Entry, Associate, Professional, Expert, and Architect. Among Cisco’s five-level network certification system, the CCNA family belongs to the Associate level, which is one step above the Entry level. Socheck this link right here nowfor more information.

As of February 24, 2020, Cisco has upgraded its certifications. The new Cisco certifications will now come in 4 skill levels (CCNA, Specialist, CCNP, and CCIE) in 6 specialty areas (Enterprise, Security, Service Provider, Collaboration, Data Center).

CCNA certification: The 200-301 takes the place of the 200-125

This is the significant change in the update, where the Special CCNAs (CCNA Security, Wireless, Voice, etc.) provide way to a single CCNA which will be the starting point for all certification courses. We went from CCNA 200-125 to CCNA 200-301. Topics removed will be Models, EIGRP, OSPFv3, BGP, VTP, and APIC-EM, as well as WAN Topics like PPP, PPPoE, or GRE. The automation and programmability of networks are becoming a new field of purely theoretical knowledge. According to Cisco Press author Wendell Odom, the new CCNA 200-301 exam is 25% less dense than its predecessor CCNA 200-125.

The CCENT level and the ICND1 and ICND2 exams are disappearing in favor of a single, generic CCNA 200-301 Implementing and Administering Cisco Solutions exam.

  1. The Enterprise 200-301 is delivered in 5 days + 3 days of Self-study. Click here to view official content.

For its academic version, the CCNA1, CCNA2, CCNA3, and CCNA4 provide way to:

  1. CCNA Enterprise I: Introduction to Networks (17 modules)
  2. CCNA Enterprise II: Fundamentals of Switching, Routing, and Wireless (16 modules)
  3. CCNA Enterprise III: Enterprise Networks, Security and Authorization (14 modules)

Add an alternative

Are youa networkengineer,system engineer,network administrator,and systems technician? Want to boost your career and take it to the next level?

  1. It is essential to know that the Cisco Enterprise certification is among the most demanded and valued major computer science certifications today. Today, most companies require IT certificates. Day by day, with technological advancements, businesses need skilled human resources to manage their network and security.
  2. That’s why investing in Enterprise 200-301 certification is one of the best decisions you can make. It is the starting point for Enterprise, Security, Data Center, Collaboration, and Service Provider courses.

By getting certified, you will be able to discover and deepen the knowledge and skills necessary to install, configure, and troubleshoot enterprise network infrastructures and thus climb the ladder with the most advanced Certifications.

Here’s a look at the six Cisco training courses you’ll get on offer today:

  1. Cisco Certified Technician CCT Routing and Switching 100-490:This course is not intended for novices. Instead, it is aimed at people who are already working in the networking industry and want to deepen their knowledge. It covers switching and routing technologies, remote device configuration, complex connectivity issues, and visiting thecompany websitefor more updates.
  2. Cisco Enterprise 200-301:This course will teach you how to pass the new CCNA certification, which Cisco introduced in February 2020. For those who don’t know, Enterprise 200-301 is the latest network certification for network administrators, engineer support, and data center operations. It covers automation, programmability, SDN, and wireless and security fundamentals.
  3. Cisco CCNP Enterprise ENARSI exam 300-410:If you want to work with routers and their associated technologies, you will need the Cisco CCNP Enterprise ENARSI certificate.

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Killexams : How digital twins are transforming network infrastructure, part 1

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Designing, testing and provisioning updates to data digital networks depends on numerous manual and error-prone processes. Digital twins are starting to play a crucial role in automating more of this process to help bring digital transformation to network infrastructure. These efforts are already driving automation for campus networks, wide area networks (WANs) and commercial wireless networks. 

The digital transformation of the network infrastructure will take place over an extended period of time. In this two-part series, we’ll be exploring how digital twins are driving network transformation. Today, we’ll look at the current state of networking and how digital twins are helping to automate the process, as well as the shortcomings that are currently being seen with the technology. 

In part 2, we’ll look at the future state of digital twins and how the technology can be used when fully developed and implemented.

About digital twins

At its heart, a digital twin is a model of any entity kept current by constant telemetry updates. In practice, multiple overlapping digital twins are often used across various aspects of the design, construction and operation of networks, their components, and the business services that run on them. 

Peyman Kazemian, cofounder of Forward Networks, argues that the original Traceroute program written by Van Jacobson in 1987 is the oldest and most used tool to understand the network. Although it neither models nor simulates the networks, it does help to understand the behavior of the network by sending a representative packet through the network and observing the path it takes. 

Later, other network simulation tools were developed, such as OPNET (1986), NetSim (2005), and GNS3 (2008), that can simulate a network by running the same code as the genuine network devices. 

“These kinds of solutions are useful in operating networks because they provide you a lab environment to try out new ideas and changes to your network,” Kazemian said. 

Teresa Tung, cloud first chief technologist at Accenture, said that the open systems interconnection (OSI) conceptual model provides the foundation for describing networking capabilities along with separation of concerns. 

This approach can help to focus on different layers of simulation and modeling. For example, a use case may focus on RF models at the physical layer, through to the packet and event-level within the network layer, the quality of service (QoS) and mean opinion score (MoS) measures in the presentation and application layers.

Modeling: The interoperability issue

Today, network digital twins typically only help model and automate pockets of a network isolated by function, vendors or types of users. 

The most common use case for digital twins is testing and optimizing network equipment configurations. However, because there are differences in how equipment vendors implement networking standards, this can lead to subtle variances in routing behavior, said Ernest Lefner, chief product officer at Gluware.

Lefner said the challenge for everyone attempting to build a digital twin is that they must have detailed knowledge of every vendor, feature, and configuration and  customization in their network. This can vary by device, hardware type, or software release version. 

Some network equipment providers, like Extreme Networks, let network engineers build a network that automatically synchronizes the configuration and state of that provider’s specific equipment. 

Today, Extreme’s product supports only the capability to streamline staging, validation and deployment of Extreme switches and access points. The digital twin feature doesn’t currently support the SD-WAN customer on-premises equipment or routers. In the future, Extreme plans to add support for testing configurations, OS upgrades and troubleshooting problems.

Other network vendor offerings like Cisco DNA, Juniper Networks Mist and HPE Aruba Netconductor make it easier to capture network configurations and evaluate the impact of changes, but only for their own equipment. 

“They are allowing you to stand up or test your configuration, but without specifically replicating the entire environment,” said Mike Toussaint, senior director analyst at Gartner.

You can test a specific configuration, and artificial intelligence (AI) and machine learning (ML) will allow you to understand if a configuration is optimal, suboptimal or broken. But they have not automated the creation and calibration of a digital twin environment to the same degree as Extreme. 

Virtual labs and digital twins vs. physical testing

Until digital twins are widely adopted, most network engineers use virtual labs like GNS3 to model physical equipment and assess the functionality of configuration settings. This tool is widely used to train network engineers and to model network configurations. 

Many larger enterprises physically test new equipment at the World Wide Technology Advanced Test Center. The firm has a partnership with most major equipment vendors to provide virtual access for assessing the performance of genuine physical hardware at their facility in St. Louis, Missouri. 

Network equipment vendors are adding digital twin-like capabilities to their equipment. Juniper Networks’ recent Mist acquisition automatically captures and models different properties of the network that informs AI and machine optimizations. Similarly, Cisco’s network controller serves as an intermediary between business and network infrastructure. 

Balaji Venkatraman, VP of product management, DNA, Cisco, said what distinguishes a digital twin from early modeling and simulation tools is that it provides a digital replica of the network and is updated by live telemetry data from the network.

“With the introduction of network controllers, we have a centralized view of at least the telemetry data to make digital twins a reality,” Venkatraman said. 

However, network engineering practices will need to evolve their practices and cultures to take advantage of digital twins as part of their workflows. Gartner’s Toussaint told VentureBeat that most network engineering teams still create static network architecture diagrams in Visio. 

And when it comes to rolling out new equipment, they either test it in a live environment with physical equipment or “do the cowboy thing and test it in production and hope it does not fail,” he said. 

Even though network digital twins are starting to virtualize some of this testing workload, Toussaint said physically testing the performance of cutting-edge networking hardware that includes specialized ASICs, FPGAs, and TPUs chips will remain critical for some time. 

Culture shift required

Eventually, Toussaint expects networking teams to adopt the same devops practices that helped accelerate software development, testing and deployment processes. Digital twins will let teams create and manage development and test network sandboxes as code that mimics the behavior of the live deployment environment. 

But the cultural shift won’t be easy for most organizations.

“Network teams tend to want to go in and make changes, and they have never really adopted the devops methodologies,” Toussaint said.

They tend to keep track of configuration settings on text files or maps drawn in Visio, which only provide a static representation of the live network. 

“There have not really been the tools to do this in real time,” he said.

Getting a network map has been a very time-intensive manual process that network engineers hate, so they want to avoid doing it more than once. As a result, these maps seldom get updated. 

Toussaint sees digital twins as an intermediate step as the industry uses more AI and ML to automate more aspects of network provisioning and management. Business managers are likely to be more enthused by more flexible and adaptable networks that keep pace with new business ideas than a dynamically updated map. 

But in the interim, network digital twins will help teams visualize and build trust in their recommendations as these technologies improve.

“In another five or 10 years, when networks become fully automated, then digital twins become another tool, but not necessarily something that is a must-have,” Toussaint said.

Toussaint said these early network digital twins are suitable for vetting configurations, but have been limited in their ability to grapple with more complex issues. He said he likes to consider it to be analogous to how we might use Google Maps as a kind of digital twin of our trip to work, which is good at predicting different routes under current traffic conditions. But it will not tell you about the effect of a trip on your tires or the impact of wind on the aerodynamics of your car. 

This is the first of a two-part series. In part 2, we’ll outline the future of digital twins and how organizations are finding solutions to the issues outlined here.

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Killexams : Best online cybersecurity courses of 2022: free and paid certification programs, degrees and masters

The best online cybersecurity courses make it simple and easy to train up in cybersecurity skills and learn more about computer science.

How about taking one of the best free cybersecurity courses online and get yourself a new qualification while the whole notion of "new normal" sinks in as the effects of the great pandemic impact the global workforce.