Help Center/ ModelArts/ Data Preparation/ Viewing Data Preparation Monitoring Alarms in AOM
Updated on 2026-08-28 GMT+08:00
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Viewing Data Preparation Monitoring Alarms in AOM

An alarm is an automated mechanism that evaluates monitoring metrics and log data in real time based on preset rules and automatically triggers alarm events when anomalies occur. It transforms scattered monitoring data into clear, actionable events, serving as a critical bridge between data observation and O&M action, helping you transition from passively responding to failures to proactively managing risks.

AOM provides alarm monitoring capabilities. For details about specific features, see AOM Alarm Monitoring Overview.

Data Preparation Alarms

When a task execution fails, the system triggers an alarm. You can view alarm information related to data preparation on the Alarm List page in the AOM console. If a task is deleted, the corresponding alarm will also be automatically cleared; cleared alarm records can be viewed in Historical Alarms. For details about how to view alarms, see Checking AOM Alarms or Events.

Alarms and repair suggestions related to data preparation are listed in the table below.

Table 1 Alarm information

Function

Triggering Scenario

Alarm Name

Alarm Severity

Alarm Source

Alarm Information

Metadata

Possible Cause

Suggestion

Data cleaning

This alarm is generated when a data cleaning task failed to be executed. This alarm is cleared when the task is successfully executed after being edited again or resumed.

DataRefineJobExecuteFailed

Minor

MAS

Data refine Job [job_name] execute failed, errorMessage: [errorMessage].

project_id,job_id

Data refinement operator execution failed or the dependency service is abnormal.

Check the job operator configuration or the status of the dependency service, and try again. If the fault persists, contact Huawei Cloud O&M personnel.

Reference