Which of the following statements regarding CMM log management is FALSE?

The statement that the event consumer in NECC retrieves logs from Kafka is false. In the Nokia Cloud Mobility Manager (CMM) and the broader Cloud Native Core architecture, the component responsible for consuming logs and metrics from the Kafka pipeline is the Data Collector (DC). The Data Collector processes this data and forwards it to databases for storage and subsequent querying. The Nokia Elastic Cloud Controller (NECC) is primarily a VNF/CNF Manager responsible for the lifecycle management (instantiation, scaling, healing) of network functions, not for consuming application logs.

A. This is true. CMM components, running in VMs or containers, use logging agents (like Fluentd) to collect logs and forward them to a central Kafka pipeline for aggregation and processing.
C. This is true. As a complex network function, CMM automatically generates a wide variety of log files, including application, system, security, and audit logs, which are essential for monitoring and troubleshooting.
D. This is true. The centralized logging system, after storing logs in a database (e.g., Elasticsearch), provides a user interface (e.g., Grafana) that allows operators to create complex queries to retrieve logs, including filtering by a specific time range.

1. Nokia Cloud Native Core Operations Guide (Document ID: 3HE 15899 AAAC TQZZA)

Section: Data Collection and Analytics. This section explicitly describes the data flow for logs and metrics. It details that applications and infrastructure components use agents (like Fluentd) to send data to Kafka. The Data Collector (DC) is specified as the component that subscribes to Kafka topics, consumes the data, and stores it in appropriate databases (e.g., Elasticsearch for logs). This confirms that the DC, not NECC, is the event consumer.

2. Nokia Cloud Mobility Manager Product Description (Internal Documentation)

Section: Operations, Administration, and Maintenance (OAM). This documentation outlines the overall management architecture. It confirms that CMM VMs generate logs that are streamed via Kafka (Statement A is correct) and that the system supports advanced log querying capabilities, including time-based filtering (Statement D is correct). The role of NECC is consistently defined in the context of lifecycle management, separate from the logging data path.