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Description
DCASD is a 5-day, instructor-led, lecture / lab course. You will learn how to deploy and configure intelligent network services using the Cisco ACE Products, Catalyst 6500 Application Control Engine (ACE) 4710 . This course covers all of the key features of the ACE products, including resource virtualization and management, server load balancing (Layer 2-4 and Layer 7), SSL termination and offload, and security features like application-layer inspection and fixups. The focus is on enabling the student to properly position the ACE products in the network for optimizing data center components and network resources. Objectives
- Describe IP application delivery with the ACE module.
- Describe the configuration tasks necessary to successfully deploy an ACE module.
- Describe the structure and function of the Modular Policy CLI statements used to configure ACE features.
- Describe the capabilities and configuration of the ACE features used to provide load balancing of IP-based applications.
- Identify the layer 7 processing options used to provide advanced application networking.
- Describe ACE support for SSL protocol processing.
- Describe the ACE features that provide IP application-based security.
- Describe the high-availability features of the ACE module which are used to provide reliable application networking services.
- Describe a methodology used to design and configure multiple ACE features.
Prerequisites
- Cisco CCNAŽ or Equivalent knowledge
- Familiarity with TCP/IP protocol suite
- Knowledge of HTTP and SSL protocols
- Basic understanding of n-tier application architecture
- Basic understanding of server load-balancing concepts
Who Should Attend
- The primary audience for this course is as follows:
- The primary audiences for this course are Systems Engineers and Network Architects responsible for the analysis and design of ACE based solutions.
- The secondary audience for this course is as follows:
- The secondary audiences for this course are Network Administrators and Network Engineers responsible for the analysis and design of ACE based solutions.
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