Final Exam: Multi-Cloud Load Balancing Principles

Final Exam: Multi-Cloud Load Balancing Principles

• describe commonly used network topologies for hybrid and multi-cloud networks
• describe how sticky sessions are maintained during load balancing and the benefits and challenges of sticky sessions
• describe how to apply design pattern theory to build efficient, reusable architectures
• describe how tokens are used for session management and security concerns of session management
• describe how to manage a session ID using URL rewriting
• describe how to manage session identification user a JWT token, and describe how a JWT token is created by a session authority
• describe how to utilize load balancers for disaster recovery practices in hybrid and multi-cloud scenarios
• describe mechanisms for data backup and disaster recovery in the cloud
• describe potential consequences of security failure in the cloud
• describe the best practices to take when implementing load balancing technologies
• describe the challenges and use cases of introducing load balancing across cloud platforms
• describe the differences between private, public, hybrid, and multi-cloud models
• describe the shared responsibility model as it applies to public cloud environments
• describe the steps to design a network architecture
• describe the steps to plan for a hybrid or multi-cloud implementation
• describe the unique challenges of identity management in a hybrid cloud environment
• describe what load balancing is, where it is used, and what forms load balancers come in
• describe where a load balancer fits into various distributed system topologies
• identify the components of a hybrid cloud security architecture and recognize the benefits and challenges of hybrid cloud security
• identify the components of a network design
• identify the different protocols and types of load balancers in use today
• identify the fundamentals of multi-cloud solutions, and describe their benefits and challenges
• recognize common challenges faced when an organization moves its operations to the cloud
• recognize opportunities and challenges of adopting cloud technologies
• recognize the advancements in load balancing technology and how to enable them in the cloud
• recognize the challenges of maintaining data privacy in a multi-cloud environment and some best practices to ensure data privacy
• recognize the common security challenges inherent in cloud technologies
• recognize what can be done in a hybrid cloud environment to ensure data integrity and availability
• recognize when to use a Layer 4 load balancer and its constraints and benefits
• recognize when using a Layer 7 load balancer and their constraints and benefits

Final Exam: Multi-cloud Load Balancing Principles will test your knowledge and application of the topics presented throughout the Multi-cloud Load Balancing Principles track of the Skillsoft Aspire Load Balancing Multi and Hybrid Cloud Solutions Journey.

Multi-cloud Load Balancing: Principles of Load Balancing

Multi-cloud Load Balancing: Principles of Load Balancing

• discover the key concepts covered in this course
• describe what load balancing is, where it is used, and what forms load balancers come in
• recognize the advancements in load balancing technology and how to enable them in the cloud
• identify the different protocols and types of load balancers in use today
• identify desirable features in a modern load balancing solution and what functions they provide
• describe the appropriate topology to implement when introducing load balancing technologies into a system architecture
• recognize when to use a Layer 4 load balancer and their constraints and benefits
• recognize when use a Layer 7 load balancer and their constraints and benefits
• differentiate between cloud-based load balancers and traditional load balancer technologies
• differentiate between hybrid and multi-cloud models
• describe the challenges and use cases of introducing load balancing across cloud platforms
• recognize how to implement Layer 4 load balancing using Azure Load Balancer
• recognize how to implement Layer 7 load balancing using Azure Traffic Manager
• summarize the key concepts covered in this course