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Snowflake Tempo Command Reference

Resource Management​

Initialize Application Resources​

CALL INFRA_CONTROLS.CREATE_RESOURCES();

Purpose: Initializes the application by loading required model weights and configurations Required Permissions: Warehouse, compute pool, and task management access

Static Detection​

Run Inference​

CALL STATIC_DETECTION.ANOMALY_DETECTION();

Purpose: Executes anomaly detection on specified service data

Viewing Classification Results​

After running the classification procedure, you can view the results by querying the output table:

SELECT * FROM STATIC_DETECTION.ANOMALOUS_EVENTS

Deep Dive Analysis​

CALL INSPECT.INVESTIGATE_SEQUENCE(varchar);

Parameters:

  • sequence_id: Identifier of the sequence to analyze (varchar)

Purpose: Investigates specific sequences flagged as anomalies

MITRE ATT&CK Technique Classification​

CALL THREAT_INTELLIGENCE.MITRE_TACTIC_CLASSIFICATION();

Purpose: Classifies known anomlies to the corresponding MITRE ATT&CK technique

Viewing Classification Results​

After running the classification procedure, you can view the results by querying the output table:

SELECT * FROM TEMPO.THREAT_INTELLIGENCE.MITRE_TACTICS_MAPPINGS

Model Optimization​

Model Evaluation​

CALL MODEL_OPTIMIZATION.EVALUATE_PERFORMANCE();

Purpose: Evaluates the model's effectiveness using labeled user data to determine if the base model is suitable for the given use case.

Fine-tune Model​

CALL MODEL_OPTIMIZATION.TUNE_MODEL();

Purpose: Updates model based on tuning log data from the reference page

Model Rollback​

CALL INFRA_CONTROLS.MODEL_ROLLBACK(int);

Parameters:

  • version: The integer version number of the model to be rolled back.

Purpose: Removes the specified version of the model and its metadata from the app.

Notes​

  • All commands require appropriate permissions for warehouse, compute pool, and task management
  • The management console is accessible via the Streamlit dashboard
  • Reference data can be managed through the web-based management interface