SOL-C01 Exam Dumps : SnowPro Associate: Platform Certification Exam

The Snowsight Monitoring tab provides a centralized view of virtual warehouse usage metrics, enabling administrators and developers to evaluate how compute resources are being consumed. This includes critical insights such as credit usage, query load, concurrency levels, average queue times, execution durations, and auto-scaling activity (for multi-cluster warehouses). These metrics help determine whether a warehouse is correctly sized, whether concurrency issues are occurring, or whether workloads require scaling up or adding clusters.

Query history is available in a different section—“Activity → Query History”—not under Monitoring. Time Travel snapshots are not visualized within Monitoring; Time Travel is controlled via retention parameters and accessed with SQL (AT/BEFORE clauses). Schema change history is also not part of Monitoring and instead is discoverable through ACCOUNT_USAGE or specific metadata views.

The Monitoring tab exists specifically to help evaluate warehouse performance and resource consumption, enabling optimization of compute spending and better workload management.

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A single VARIANT value in Snowflake has a maximum size limit of16 MB(uncompressed). This limit applies to semi-structured data stored in VARIANT, such as JSON, XML, Avro, and Parquet objects.

This limit ensures efficient storage, query performance, and micro-partitioning. Exceeding the size results in load or processing errors. For ingestion, when loading large JSON files, it’s recommended to break them into multiple objects or use JSON Lines formatting.

Snowflake has introduced an optional behavior change bundle (2025_03), increasing the limit to128 MBfor accounts that enable it, but the standard default remains 16 MB.

Thus, under default behavior,16MBis the correct maximum value size.

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Snowflake Virtual Warehouses support several configuration parameters that directly influence compute behavior, performance, and cost control.Auto-suspend timedetermines how long the warehouse should remain idle before Snowflake automatically suspends it to save credits.Auto-resumeenables automatic warehouse reactivation whenever a new query is submitted, ensuring seamless user experience without manual intervention.Warehouse sizedetermines the compute resources available (e.g., X-SMALL, SMALL, MEDIUM, LARGE). Larger warehouses provide more CPU, memory, and parallel processing ability. Conversely, thecloud provider regioncannot be configured at the warehouse level; it is determined when the Snowflake account is created and applies globally across the account. These warehouse settings enable efficient workload management, dynamic compute scaling, and cost optimization, allowing Snowflake users to tailor compute behavior to their analytics and data processing needs.

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