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Frederik Olsen
Frederik Olsen
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Well explained! This is very helpful for my AWS ML exam prep.
On Split data between training and validation (for example, cross validation).
Amazing breakdown of AWS networking concepts, this will surely help in my SAP-C02 preparation!
On AWS networking concepts (for example, Route 53, routing methods)
Thanks for the post! Learned a lot.
On Analyze and evaluate feature engineering concepts (for example, binning, tokenization, outliers, synthetic features, one-hot encoding, reducing dimensionality of data).
Good post but could have included more about monitoring reserved instances and savings plans.
On Monitoring cost and usage with AWS tools
Can you mix and match Direct Connect and VPN for hybrid setups?
On Setting up private access or public access to AWS services (for example, Direct Connect, VPN)
Good overview but could use more deep-dive examples.
On Data replication methods
The details on Auto Scaling were spot on. Thanks!
On Designing highly available application environments based on business requirements
Anyone aware of the RTO and RPO differences between Warm Standby and Multi-Site?
On Disaster recovery strategies (for example, using AWS Elastic Disaster Recovery, pilot light, warm standby, and multi-site)
Great blog post on the replayability of data ingestion pipelines. Very informative!
On Replayability of data ingestion pipelines
Nice introduction to encryption concepts, thank you!
On Developing encryption strategies for data at rest and data in transit
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