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Rekha Padmanabha
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Interesting read on DNS best practices for high availability setups. Thanks!
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Host and service name resolution for applications and clients (for example, DNS)
Super informative! This will definitely help in my preparation for the AWS Certified Machine Learning exam.
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Identify and extract features from datasets, including from data sources such as text, speech, image, public datasets.
Is anyone using alias records with Route 53?
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Availability of options from Route 53 that provide reliability
Just what I was looking for. Thanks a lot!
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Updating and optimizing subnets to prevent the depletion of available IP addresses within a VPC (for example, secondary CIDR)
Great, but it would be nice to see more on real-world case studies.
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Application migration tools (for example, AWS Application Discovery Service, AWS Application Migration Service)
Thanks for the detailed post, very informative.
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Designing environment monitoring and workload monitoring based on business and security requirements
Great article on evaluating architecture reliability! It’s crucial to find weak spots before they become critical issues.
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Evaluating existing architecture to determine areas that are not sufficiently reliable
Can someone explain how supervised learning is applied in real-world scenarios?
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Know the difference between supervised and unsupervised learning.
I wish there was more emphasis on best practices for each packaging option discussed.
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Lambda deployment packaging options
Didn't find much new information here. Could have included more details on test automation frameworks.
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Different types of tests (for example, unit tests, integration tests, acceptance tests, user interface tests, security scans)
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