Advanced networkingIT00EB93-3004
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DynamoDB Auto Scaling adjusts table throughput capacity based on request load.
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Amazon Aurora automatically increases storage capacity as needed, up to 128 TB.
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Amazon Redshift Workload Management (WLM) allows users to assign different query priorities to optimize resource allocation.
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Amazon Redshift Concurrency Scaling allows additional compute clusters to be added dynamically based on workload demand.
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Which methods can improve Amazon RDS query performance? (Choose two)
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Which methods does Amazon DynamoDB use to replicate data across AWS regions? (Choose two)
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Amazon DynamoDB supports Time-to-Live (TTL) to automatically delete expired items from tables.
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Which connection management options are available for Amazon RDS? (Choose two)
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Which features contribute to Amazon Redshift’s high-performance analytics? (Choose two)
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Amazon Redshift supports both Dense Compute and Dense Storage node types for different workloads.
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