- • AWS data sources (S3, Kinesis, RDS, DynamoDB)
- • Data ingestion pipelines (Glue, Athena, Lake Formation)
Course Includes:
- Price: $
- Duration: 8 weeks
- Enrolled: 950+ students
- Language: English
- Certificate: Yes Buy Now
The landscape of enterprise networking is undergoing a radical transformation, shifting from traditional hardware-centric models to agile, software-driven architectures. For system engineers, mastering these modern technologies is no longer optional—it's essential. The Cisco Enterprise Networks SDA, SDWAN and ISE exam is a specialized assessment designed to validate your expertise in this new era of networking. Eazzy Learn provides a structured pathway to not only pass this challenging exam but to truly understand the powerful synergy between these three pillars of the intent-based network.
To conquer this exam, you must first develop a deep, integrated understanding of the three core technologies it encompasses: Software-Defined Access (SDA), Software-Defined WAN (SD-WAN), and Identity Services Engine (ISE).
A unique aspect of this exam is its focus on how these technologies integrate to create a cohesive, intent-based network. It’s not enough to know them in isolation.
For instance, in an SDA fabric, ISE is used to assign an SGT to a user or device upon authentication. This tag follows the entity anywhere it moves within the fabric, ensuring consistent policy enforcement regardless of location. This concept of "group-based policy" is central to the exam.
Similarly, Cisco SD-WAN can interact with ISE to make intelligent routing decisions based on user identity and device type, not just application. An employee accessing a business application might be routed over a high-performance MPLS link, while a guest user is directed over a cheaper internet broadband path, all governed by policies defined in ISE.
The exam will test your ability to design and troubleshoot scenarios where these technologies intersect, ensuring you can deliver a secure, automated, and end-to-end solution.
The Cisco Enterprise Networks SDA, SDWAN and ISE exam is rigorous, demanding both theoretical knowledge and practical, hands-on skill. Eazzy Learning's approach is tailored to meet this challenge head-on.
Our content is meticulously structured to break down complex architectural concepts into digestible modules. We move beyond pure memorization, focusing on the "why" behind the technology to build a foundation of genuine understanding. Through high-quality video lectures, detailed study guides, and visual diagrams, we clarify intricate topics like LISP/VXLAN control planes and trustsec policy flow.
Most importantly, Eazzy Learn emphasizes practical application. We provide access to virtual lab environments and guided exercises that allow you to configure, deploy, and troubleshoot integrated SDA, SD-WAN, and ISE scenarios. This hands-on experience is invaluable for solidifying your knowledge and preparing you for the practical, scenario-based questions you will encounter on the exam.
Furthermore, our learning platform offers advanced practice exams that simulate the actual testing environment. These assessments are designed to identify knowledge gaps, reinforce key concepts, and build the confidence needed to excel on exam day.
This exam is ideally suited for:
Earning a certification in Cisco SDA, SD-WAN, and ISE is a significant career differentiator. It proves you possess the advanced skills required to design, secure, and manage the next generation of enterprise networks. With Eazzy Learn as your guide, you gain more than just exam preparation; you acquire a deep, practical understanding of how to leverage these technologies to build agile, secure, and intent-driven networks that meet the demands of modern business. Embrace the future of networking and take the next step in your professional journey.
The AWS Certified Machine Learning – Specialty certification validates expertise in designing, implementing, and optimizing machine learning (ML) solutions on AWS. This course prepares professionals for the exam by covering data engineering, ML model development, deployment, and operational best practices using AWS AI/ML services.
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