DEA-C02 Exam Dumps | You are tasked with optimizing a data pipeline that loads data from an external cloud storage location

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Question 147/149

You are tasked with optimizing a data pipeline that loads data from an external cloud storage location into Snowflake, transforms it, and then loads it into reporting tables. The pipeline is experiencing intermittent performance issues. You want to proactively identify and address these issues. Which of the following monitoring techniques and Snowflake features would be MOST effective for continuous monitoring and performance optimization?

A. Rely solely on Snowflake's default query history and resource monitors. These automatically track performance and usage, providing sufficient insight without additional configuration.

B. Implement custom logging and monitoring using Snowflake Scripting and User-Defined Functions (UDFs) to capture granular performance metrics at each stage of the pipeline and push notifications via external functions to a monitoring service.

C. Utilize Snowflake's System Functions to periodically query performance views (e.g., 'QUERY_HISTORY, ' and write aggregated metrics to a dedicated monitoring table. Configure a scheduled task to generate alerts based on predefined thresholds.

D. Focus exclusively on optimizing SQL queries and data transformations. Monitoring is unnecessary since Snowflake automatically handles performance optimization.

E. Enable Snowflake's Auto-Suspend and Auto-Resume features on the warehouse. This is the most efficient way to manage resources and optimize costs, indirectly addressing performance concerns.

Correct Answer: B,C

Options B and C provide the most effective methods for continuous monitoring and performance optimization. Option B allows for highly customized and granular monitoring of the entire pipeline, enabling proactive issue identification through external notifications. Option C leverages Snowflake's built-in system functions and task scheduling to create a robust monitoring and alerting system. Option A is insufficient as default monitoring may not provide the granularity needed. Option D is incorrect because monitoring is crucial. Option E primarily focuses on cost optimization, not performance monitoring.

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