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Encarnación Santos
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This tutorial is really helpful! Thanks!
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Analyzing access or authorization errors to determine cause or effect
Feature engineering is an art as much as it is science.
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Analyze and evaluate feature engineering concepts (for example, binning, tokenization, outliers, synthetic features, one-hot encoding, reducing dimensionality of data).
Yes, I've used Amazon Athena for querying. It's quite efficient if you partition your data correctly.
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Access logging (for example, load balancers, CloudFront)
Awesome blog! Let’s discuss AWS CloudTrail for security monitoring too.
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Understanding the use of AWS services for identifying security issues (for example, AWS Trusted Advisor)
I found it a bit confusing initially, but after reading this, it’s much clearer. Thanks!
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AWS Load Balancer Controller for Kubernetes clusters
What's the best way to secure log data in transit when using Kinesis?
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Log delivery mechanisms (for example, Amazon Kinesis, Route 53, CloudWatch)
Is it possible to use AWS Security Hub with third-party security solutions?
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Implementing and developing governance and security controls at scale (AWS Config, AWS Control Tower, AWS Security Hub, Amazon Detective, Amazon GuardDuty, AWS Service Catalog, SCPs)
Has anyone tried automating CodePipeline notifications using SNS?
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Analyzing failed deployments (for example, AWS CodePipeline, CodeBuild, CodeDeploy, CloudFormation, CloudWatch synthetic monitoring)
I'm confused about setting up lifecycle policies. Can someone help?
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Amazon S3 tiers and lifecycle management
What are the key differences between the default CloudWatch metrics and custom metrics?
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Recognizing services that aid in governance and compliance (for example, monitoring with Amazon CloudWatch; auditing with AWS CloudTrail, AWS Audit Manager, and AWS Config; reporting with access reports)
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