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Aras Gashi
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Great post! Learned a lot about configuring ALB and NLB.
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Configuring and implementing load balancing solutions
Thank you for providing practical advice on tuning the learning rate. It's something that can really make a difference in…
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Understand linear models (learning rate).
Great post on analyzing AWS usage reports! Very informative.
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Analyzing usage reports to identify underutilized and overutilized resources
I appreciate the detailed examples in this post. Thanks!
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Data structures and algorithms (for example, graph data structures and tree data structures)
Just what I needed! Preparing for my exam and this cleared up so much!
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Handle ML-specific data by using MapReduce (for example, Apache Hadoop, Apache Spark, Apache Hive).
Insightful! Routing and reachability constraints are crucial topics for the AWS Advanced Networking exam.
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Network performance metrics and reachability constraints (for example, routing, packet size)
Thanks for sharing this information. It was very useful!
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Identify and remediate underutilized or unused resources by using AWS services and tools (for example, Trusted Advisor, AWS Compute Optimizer, AWS Cost Explorer).
Are there any pre-built templates for setting up log lifecycle policies in AWS?
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Log destinations and lifecycle management (for example, retention period)
Don't forget to integrate Security Hub and GuardDuty for continuous monitoring and threat detection.
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Combining security controls to apply defense in depth (for example, AWS Certificate Manager [ACM], AWS WAF, AWS Config, AWS Config rules, Security Hub, GuardDuty, security groups, network ACLs, Amazon Detective, Network Firewall)
I wasn't aware of the capability to trigger Lambda functions from AWS Health events until I read this. Great info!
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Integrating AWS event sources (for example, AWS Health, EventBridge, CloudTrail)
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