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Esmeraldo Silva
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Fault tolerance can be achieved using AWS services like EC2 Auto Scaling, RDS Read Replicas, and multi-AZ deployments. S3's cross-region…
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Distributed computing
Deep learning models require more time to train but can achieve high accuracy for complex tasks.
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Compare models by using metrics (for example, time to train a model, quality of model, engineering costs).
Helpful post! I've been struggling with selecting the right services for specific tasks.
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Developing a process methodology for selecting purpose-built services for required tasks
This blog post on maintaining private access through PrivateLink and VPC peering was incredibly helpful! Thanks for sharing.
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Maintaining private access to custom services (for example, PrivateLink, VPC peering)
Do you need to use AWS Kinesis for log streaming, or are there any simpler alternatives?
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Analyzing log sources to identify problems
What are your best practices for achieving high code coverage with AWS CodeBuild?
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Automating unit tests and code coverage
Appreciate the information! This will definitely help me prepare for the exam.
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AWS services for identifying security vulnerabilities and events (for example, GuardDuty, Amazon Inspector, IAM Access Analyzer, AWS Config)
Everyone, please share your experience with using these tools in production.
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Determining optimal configuration management services (for example, AWS OpsWorks, AWS Systems Manager, AWS Config, AWS AppConfig)
Good overview but could use more real-world examples. Just a suggestion.
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Automated monitoring and remediation strategies (for example, AWS Config rules)
I found the section on combining CloudWatch and Elasticsearch very insightful.
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AWS services and features that provide logging capabilities (for example, VPC Flow Logs, DNS logs, AWS CloudTrail, Amazon CloudWatch Logs)
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