DAA-C01 Exam Dumps | A data engineering team is implementing a complex data transformation pipeline using Snowflake tasks

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Question 103

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Question 103/151

A data engineering team is implementing a complex data transformation pipeline using Snowflake tasks and streams. They need to monitor the execution of these tasks, track dependencies, and identify potential bottlenecks in near real-time. Which approach provides the MOST comprehensive solution for logging and monitoring the task execution and dependencies within Snowflake?

A. Relying solely on Snowflake's task history view (TASK_HISTORY) and manually analyzing the execution times and statuses of each task.

B. Creating custom logging tables within Snowflake to record task start and end times, along with status codes, and then querying these tables for monitoring purposes.

C. Utilizing Snowflake's Event Tables to capture TASK-related events, combined with an external monitoring tool (e.g., AWS CloudWatch, Azure Monitor) to visualize task dependencies and execution metrics.

D. Implementing a complex DAG management system outside of Snowflake and triggering Snowflake tasks from that system, using the external system's logging capabilities.

E. Simply enabling email notifications for task failures in Snowflake.

Correct Answer: C

Option C provides the most comprehensive solution. Event tables provide a centralized and structured way to capture task-related events. Integrating with an external monitoring tool allows for visualization of task dependencies and near real-time monitoring capabilities. Option A is manual and time-consuming. Option B requires custom development and maintenance. Option D is overly complex. Option E only addresses failures, not overall monitoring.

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