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Debezium can be utilized to monitor a specific table by configuring it with a database connector that specifies the specific table to be monitored. This can be done by setting up a configuration file for the connector and specifying the table name in the configuration.

For example, if you want to monitor a table called "users" in a MySQL database using Debezium, you can create a configuration file for the MySQL connector like this:

{
  "name": "mysql-connector",
  "config": {
    "connector.class": "io.debezium.connector.mysql.MySqlConnector",
    "tasks.max": "1",
    "database.hostname": "localhost",
    "database.port": "3306",
    "database.user": "username",
    "database.password": "password",
    "database.server.id": "1001",
    "database.server.name": "my-app-db",
    "table.whitelist": "my_database.users",
    "database.history.kafka.bootstrap.servers": "kafka:9092",
    "database.history.kafka.topic": "schema-changes.my-app-db"
  }
}

The table.whitelist configuration parameter specifies the table to be monitored. In this case, it is set to my_database.users, which means that only the "users" table in the my_database schema will be monitored.

Once you have configured the connector, you can start it using a tool like Apache Kafka Connect to begin capturing changes to the specified table. Debezium will stream any changes to the table to a destination like Kafka, so you can consume these changes and process them however you like.