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Melania Radanović
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You can use Apache Spark on EMR to read data from S3, perform aggregations, and then write back to S3.
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Data aggregation, rolling average, grouping, and pivoting
I appreciate the examples given! Real-world scenarios make understanding so much easier.
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Isolating AWS resources
How do you handle large-scale data efficiently in an AWS ML pipeline?
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Debug and troubleshoot ML models.
Is it possible to integrate Route 53 with a third-party DNS provider?
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Integration of Route 53 with other AWS networking services (for example, Amazon VPC)
Negative: AWS DMS documentation needs improvement, found it hard to locate certain configuration options.
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Database migration tools (for example, AWS Database Migration Service [AWS DMS], AWS Schema Conversion Tool [AWS SCT])
ML is transformative but overkill for small datasets—stick with traditional methods in those cases.
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Determine when to use and when not to use ML.
Is there an efficient way to monitor unauthorized changes in S3 buckets?
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Setting up automated tools and scripts to perform regular audits (for example, by creating custom insights in Security Hub)
Does load balancing at layer 7 introduce significant latency due to content inspection?
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How load balancing works at layer 3, layer 4, and layer 7 of the OSI model
In scenarios with high SLAs, how effective is the combination of Direct Connect and VPN?
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VPN connectivity over Direct Connect
This blog post was exactly what I needed. Very informative!
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Security configurations (for example, IAM roles and permissions to allow for log collection)
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