An architecture team needs to unify all logging and performance monitoring used by global applications...

Comprehensive and Detailed Explanation From Exact Extract:

A data lake is ideal for aggregating structured and unstructured data at scale. It supports storage and analysis of logs, performance metrics, and other telemetry data from various sources. Data lakes enable advanced analytics and machine learning for decision support.

Relevant Extract from CompTIA CloudNetX CNX-001 Study Guide — under “Data Aggregation and Analytics”:

“Data lakes allow storage and analysis of high-volume, diverse data types, including logs and monitoring data. They support enterprise-wide visibility and strategic decision-making.”

Other options:

A. Relational databases are optimized for structured data and are less scalable for log aggregation.

B. CDNs deliver content, not used for data aggregation.

C. CIEM (Cloud Infrastructure Entitlement Management) governs cloud permissions, not logging.

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