Implementing Cisco Application Centric Infrastructure - Advanced (DCACIA) v 1.2 Course Overview

Implementing Cisco Application Centric Infrastructure - Advanced (DCACIA) v 1.2 Course Overview

The Implementing Cisco Application Centric Infrastructure - Advanced (DCACIA) v1.2 course is an in-depth training program designed for network and data center professionals who want to learn advanced techniques in managing and optimizing Cisco ACI environments. Covering a range of topics from Advanced packet forwarding to Multi-site deployment, this course equips learners with the skills needed to efficiently administer ACI fabrics and troubleshoot complex scenarios.

Through the course modules, participants will delve into Endpoint learning optimizations, Rogue endpoint control, Service graph PBR, and VRF route leaking, among other advanced ACI policies and configurations. Practical labs reinforce the lessons, offering hands-on experience in tasks such as configuring NIC teaming, implementing Transit routing, and deploying both multi-pod and multi-site architectures.

Completing the DCACIA course will empower learners with the advanced knowledge required to ensure their ACI infrastructure is robust, agile, and secure, ready to support the demands of modern enterprise networks.

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Course Prerequisites

To ensure a successful learning experience in the Implementing Cisco Application Centric Infrastructure - Advanced (DCACIA) v1.2 course, participants should come prepared with the following minimum prerequisites:


  • Basic knowledge of data center networking concepts and technologies.
  • Familiarity with Cisco Ethernet switching products and technologies.
  • Understanding of virtualization fundamentals and VMware environments.
  • Comprehension of networking protocols, routing, and switching principles.
  • Prior experience with Cisco Nexus, Cisco MDS switches, and Cisco UCS is beneficial.
  • Completion of the following Cisco courses or equivalent knowledge:
    • Implementing and Administering Cisco Solutions (CCNA)
    • Understanding Cisco Data Center Foundations (DCFNDU)
    • Implementing Cisco Data Center Core Technologies (DCCOR)
    • Implementing Cisco Application Centric Infrastructure (DCACI)

Please note that these prerequisites are intended to provide you with the foundational knowledge required for this advanced course. They are not meant to discourage you from enrolling but to ensure that you are adequately prepared to grasp the complex concepts and practical applications that will be covered.


Target Audience for Implementing Cisco Application Centric Infrastructure - Advanced (DCACIA) v 1.2

  1. The "Implementing Cisco Application Centric Infrastructure - Advanced (DCACIA) v1.2" course caters to IT professionals seeking advanced knowledge in Cisco ACI deployment and management.


  2. Target Audience for the Course:


  • Network Engineers and Architects
  • Data Center Administrators and Operators
  • Systems Engineers
  • Cloud Infrastructure Engineers
  • Technical Solutions Architects
  • Cisco Integrators and Partners
  • Network Designers and Planners
  • Network Managers and Executives
  • IT Professionals looking to specialize in network virtualization and data center automation
  • Professionals preparing for Cisco certification exams in ACI technology


Learning Objectives - What you will Learn in this Implementing Cisco Application Centric Infrastructure - Advanced (DCACIA) v 1.2?

  1. Introduction: This course deepens your understanding and skills in implementing advanced Cisco ACI features, including packet forwarding, policy configuration, multi-pod/site deployment, and service integration.

  2. Learning Objectives and Outcomes:

  • Understand and implement advanced packet forwarding mechanisms between Cisco ACI leaf switches.
  • Master endpoint learning processes and optimize endpoint learning behavior within the ACI fabric.
  • Configure and manage Network Interface Card (NIC) teaming in relation to ACI fabric.
  • Implement endpoint loop protection and control rogue endpoints to maintain network stability.
  • Utilize advanced Cisco ACI policy configurations and tenant structures for efficient network segmentation and shared services.
  • Integrate Layer 3 external connections with ACI using transit routing and VRF route leaking techniques.
  • Transition traditional network environments to ACI while comparing network-centric and application-centric models.
  • Deploy and manage service graphs with Policy-Based Redirect (PBR) for service chaining and traffic flow customization.
  • Set up and manage a Cisco ACI multi-pod deployment, ensuring seamless packet flow and external connectivity across multiple pods.
  • Implement a Cisco ACI multi-site deployment using the Multi-Site Orchestrator to facilitate scalable inter-site connectivity and policy consistency.

Technical Topic Explanation

Advanced packet forwarding

Advanced packet forwarding is a network process where routers and switches efficiently direct data packets from one network point to another using sophisticated algorithms. This technique improves the speed and accuracy of data traveling across a network by selecting optimal paths for data to reduce delays and congestion. It involves analyzing the data packets' headers and using this information to decide the most efficient route for the data to take, ensuring quicker and more reliable network communication. This method is crucial in modern data networks, supporting high-speed internet services and complex network infrastructures.

Multi-site deployment

Multi-site deployment involves setting up and managing a business’s computing infrastructure across multiple geographic locations. This strategy enhances disaster recovery, maintains data integrity, and optimizes performance by distributing workloads. Utilizing methods like "implementing Cisco Application Centric Infrastructure (DCACI)," companies can efficiently manage and automate network configurations and policies across different sites. This setup is particularly beneficial for businesses looking to maintain high availability and quick data access for users scattered across various regions, ensuring that operations continue smoothly and resiliently regardless of individual site issues.

Endpoint learning optimizations

Endpoint learning optimizations refer to the methods and technologies used to improve the performance, security, and management of endpoint devices (like laptops, mobile phones, and tablets) in a network. These optimizations focus on enhancing how these devices learn and apply security policies, manage data, and interact with network resources efficiently. The objective is to ensure optimal functionality and security compliance, minimizing risks and boosting overall system performance without sacrificing user productivity or experience. Techniques include applying machine learning algorithms to predict and prevent security threats, automating updates, and efficiently managing resources.

Rogue endpoint control

Rogue endpoint control is a cybersecurity measure used in networks to detect, manage, and secure unauthorized or unmanaged devices (endpoints) that connect to the network. These could be anything from laptops to smartphones, which might introduce security risks if not monitored. The goal is to ensure only authorized devices can access network resources, thus protecting sensitive data and systems from potential threats like malware or data breaches. This control is crucial in maintaining the integrity and security of an organization's IT environment.

Service graph PBR

Service graph PBR (Policy Based Routing) in Cisco's Application Centric Infrastructure (ACI) allows network administrators to define paths within the network that traffic should take based on specific policies. This technology enables more complex routing decisions that go beyond traditional IP address-based routing, primarily by inspecting the packet headers and directing traffic based on predefined rules and criteria. This ensures that the network handles traffic more efficiently and securely, optimizing performance and control over data flow.

VRF route leaking

VRF route leaking involves sharing routes between different Virtual Routing and Forwarding instances within a network device. Essentially, it allows selective communication across separate virtualized routing tables, which normally wouldn't interact. This can help in managing and optimizing traffic from different segments of the network, ensuring efficient resource utilization and improving overall network performance. This technique is particularly useful in complex network environments where maintaining segmented communications and security is critical.

NIC teaming

NIC teaming, also known as network interface card teaming, involves combining multiple NICs into one single unit to improve network reliability and performance. It acts as a network redundancy strategy, ensuring that if one NIC fails, the others can take over seamlessly, preventing network downtime. Additionally, NIC teaming enhances bandwidth by allowing multiple connections to share traffic load, improving overall data transfer rates across a network. This setup is especially useful in environments with high data demands and critical uptime requirements, such as data centers and enterprise IT infrastructures.

Transit routing

Transit routing is a network routing method used when data packets travel across multiple networks to reach their final destination. Essentially, it functions like a highway system for data, where information uses intermediary stops or networks, owned by third-party entities, to pass from the origin server to the target server. This method enhances connectivity and ensures data can travel efficiently over long distances by selecting the most efficient or fastest route possible. Transit routing is crucial in global networks to maintain fast and reliable communication and data transfer between different network service providers.

Target Audience for Implementing Cisco Application Centric Infrastructure - Advanced (DCACIA) v 1.2

  1. The "Implementing Cisco Application Centric Infrastructure - Advanced (DCACIA) v1.2" course caters to IT professionals seeking advanced knowledge in Cisco ACI deployment and management.


  2. Target Audience for the Course:


  • Network Engineers and Architects
  • Data Center Administrators and Operators
  • Systems Engineers
  • Cloud Infrastructure Engineers
  • Technical Solutions Architects
  • Cisco Integrators and Partners
  • Network Designers and Planners
  • Network Managers and Executives
  • IT Professionals looking to specialize in network virtualization and data center automation
  • Professionals preparing for Cisco certification exams in ACI technology


Learning Objectives - What you will Learn in this Implementing Cisco Application Centric Infrastructure - Advanced (DCACIA) v 1.2?

  1. Introduction: This course deepens your understanding and skills in implementing advanced Cisco ACI features, including packet forwarding, policy configuration, multi-pod/site deployment, and service integration.

  2. Learning Objectives and Outcomes:

  • Understand and implement advanced packet forwarding mechanisms between Cisco ACI leaf switches.
  • Master endpoint learning processes and optimize endpoint learning behavior within the ACI fabric.
  • Configure and manage Network Interface Card (NIC) teaming in relation to ACI fabric.
  • Implement endpoint loop protection and control rogue endpoints to maintain network stability.
  • Utilize advanced Cisco ACI policy configurations and tenant structures for efficient network segmentation and shared services.
  • Integrate Layer 3 external connections with ACI using transit routing and VRF route leaking techniques.
  • Transition traditional network environments to ACI while comparing network-centric and application-centric models.
  • Deploy and manage service graphs with Policy-Based Redirect (PBR) for service chaining and traffic flow customization.
  • Set up and manage a Cisco ACI multi-pod deployment, ensuring seamless packet flow and external connectivity across multiple pods.
  • Implement a Cisco ACI multi-site deployment using the Multi-Site Orchestrator to facilitate scalable inter-site connectivity and policy consistency.