A team needs to keep vast amounts of unstructured log data that will be quickly accessed by analytics processes. Which approach is recommended for storing these logs with minimal overhead?
Object-based data storage is well suited for handling unstructured data at large scale while allowing efficient metadata-based operations. Block-based and file-based approaches can be useful in certain scenarios but typically involve more management overhead and are more rigid in how data is accessed. Tiered configurations are beneficial for balancing cost and performance but do not specifically optimize a massive repository of logs for rapid analytics queries.
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CompTIA Cloud+ CV0-004
Cloud Architecture
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