Which of the following best explains why channel pooling is recommended over opening a new channel for every message?
Think about resource usage and speed when creating channels repeatedly.
Opening and closing channels frequently adds overhead and slows down message processing. Channel pooling reuses existing channels, saving time and system resources.
What is the output of the following command when RabbitMQ server is running and has 3 open connections?
rabbitmqctl list_connections
Check how many connections are open on the server.
The command lists all active connections. Since there are 3 open connections, it lists all three.
Which configuration snippet correctly sets up a channel pool with a maximum of 5 channels in a RabbitMQ client?
Look for correct YAML keys and common naming conventions.
The correct configuration uses 'channel_pool' with 'max_size' and 'enabled' keys to define the pool size and activation.
You notice your RabbitMQ server refuses new connections and logs show 'connection limit reached'. What is the most likely cause?
Think about limits on simultaneous connections.
RabbitMQ limits the number of simultaneous connections. If clients open too many without reusing or closing, the limit is reached and new connections are refused.
Which workflow best describes efficient management of RabbitMQ connections and channels in a high-load application?
Consider resource usage and concurrency best practices.
Opening one connection per app instance and reusing a pool of channels reduces overhead and improves throughput. Closing channels only on shutdown avoids frequent open/close costs.