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Kim Martinez
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Normalization reduces redundancy and ensures data integrity, while denormalization improves read performance but can introduce redundancy.
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Data modeling concepts
What about serverless architectures? Which service would suit best?
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Choosing the appropriate service to deliver messages and to send alerts and notifications
This blog post and the comments were really helpful for further clarification. Appreciate it!
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Describing Reserved Instance flexibility
Can AWS Glue be used for log correlation?
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Normalizing, parsing, and correlating logs
Can someone explain the Execution phase in more detail?
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Prioritization and migration of workloads (for example, wave planning)
The integration of AWS CloudTrail with Amazon GuardDuty is very useful for threat detection.
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Reviewing comprehensive traceability of users and services
I found the part explaining the difference between precision and recall particularly enlightening.
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Interpret confusion matrices.
Thanks a lot for this post. Found it very useful!
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AWS services that generate, capture, and process events (for example, AWS Health, EventBridge, CloudTrail)
How does AWS handle IP addressing conflicts in VPC peering?
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Network segmentation (for example, subnetting, IP addressing, connectivity among VPCs)
For file-level backups, is AWS Backup a good option or should I use S3 versioning?
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Designing an effective backup and restoration strategy
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