In this section of the AWS Certified Advanced Networking - Specialty learning path, we introduce you to the various design patterns for content distribution and DNS from an AWS networking perspective that are relevant to the ANS-C01 exam.
Learning Objectives
- Identify how to leverage Amazon CloudFront for the usage of a content distribution network (CDN)
- Explain how Amazon Route 53 is used to design solutions that meet public, private, and hybrid DNS requirements
- Describe how Route 53 can be used within internet-based architectures to route end users to public-facing applications
Prerequisites
The AWS Certified Advanced Networking - Specialty certification has been designed for anyone with experience designing, implementing, and operating complex AWS and hybrid networking architectures. Ideally, you’ll also have some exposure to the nuances of AWS networking, particularly regarding the integration of AWS services and AWS security best practices. Many exam questions will require advanced level knowledge of many AWS services, including AWS networking services. The AWS Cloud concepts introduced in this course will be explained and reinforced from the ground up.
Hello, and welcome to this course on content distribution and DNS, where we’re here to help you on your journey to prepare for the AWS Certified Advanced Networking - Specialty certification.
Before we get started, I’d like to introduce myself. My name is Danny Jessee, and I am one of the trainers here at Cloud Academy, specializing in AWS – Amazon Web Services – and AWS certifications. In this course, the AWS team will be presenting a series of lectures that introduce AWS Networking services that may be covered on the exam. Feel free to contact me with any questions using the details shown on the screen, or you can always get in touch with us here at Cloud Academy by sending an email to support@cloudacademy.com, where one of our Cloud experts will reply to your question.
This course has been specifically curated to help you pass the newly updated AWS Certified Advanced Networking - Specialty exam and is ideal for anyone who is looking to learn more about AWS Networking services in preparation for the exam.
The objective of this course is to provide a high-level introduction to design patterns for content distribution and DNS from an AWS networking perspective, including:
- Leveraging Amazon CloudFront for the usage of content distribution networks, and
- Using Route 53 to design solutions that meet public, private, and hybrid DNS requirements.
We’ll also explore Route 53 features to route end users to internet applications.
Together with the other courses in this learning path, we’ll cover all of the key tools, technologies, and concepts from the AWS Certified Advanced Networking - Specialty exam guide and ensure that you are fully prepared to sit this exam.
The AWS Certified Advanced Networking - Specialty certification has been designed for anyone who has experience designing, implementing, and operating complex AWS and hybrid networking architectures. Ideally you’ll also have some exposure to the nuances of AWS networking, particularly with respect to the integration of AWS services, as well as AWS security best practices. Many exam questions will require an advanced level of knowledge for many AWS services, including AWS networking services. All of the AWS Cloud concepts introduced in this course will be explained and reinforced from the ground up.
Here at Cloud Academy, we strive to keep our content current to provide the best training available. If you have any feedback, positive or negative, or if you notice anything that needs to be updated or corrected for the next release cycle, please reach out to us at support@cloudacademy.com. Thank you!
Experienced in architecture and delivery of cloud-based solutions, the development, and delivery of technical training, defining requirements, use cases, and validating architectures for results. Excellent leadership, communication, and presentation skills with attention to details. Hands-on administration/development experience with the ability to mentor and train current & emerging technologies, (Cloud, ML, IoT, Microservices, Big Data & Analytics).