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Aleksa Šijan
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Good overview, but please provide more examples next time.
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Interpreting an IAM policy’s effect on environments and workloads
Dimensionality reduction techniques like PCA and t-SNE are crucial tools.
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Analyze and evaluate feature engineering concepts (for example, binning, tokenization, outliers, synthetic features, one-hot encoding, reducing dimensionality of data).
Seeing this kind of practical troubleshooting guide is really great. Keep up the good work!
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Troubleshooting packet size mismatches in a VPC to restore network connectivity
Agreed! Understanding the different logging options available in AWS is crucial for the AWS Certified Advanced Networking exam.
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Access logging (for example, load balancers, CloudFront)
Does anyone have experience with managing schema changes in Athena?
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Querying logs in Amazon S3 for contextual information related to security events (for example, by using Athena)
Anyone experienced issues with unexpected costs after implementing lifecycle policies?
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How to optimize the cost of storage based on the data lifecycle
It would be helpful if the tutorial covered more about compliance and reporting in patch management.
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Implement automated patch management.
Is there a way to automate the transition between storage tiers in AWS?
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Storage tiering (for example, cold tiering for object storage)
What are the costs associated with transitioning data between different S3 storage classes?
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Appropriate storage solutions to address hot and cold data requirements
Loved the deep dive into best practices for replaying data ingestion pipelines. Very helpful!
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Replayability of data ingestion pipelines
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