* Maximized Mode:
* In this configuration, the minimum and maximum number of clusters must be equal.
* This ensures all clusters are active simultaneously, providing maximum compute power for high- demand workloads.
Why Other Options Are Incorrect:
* A. Auto-scale mode: Allows different values for MIN_CLUSTER_COUNT and MAX_CLUSTER_COUNT to dynamically adjust cluster count.
* C. Standard scaling policy: Refers to cluster management policies, not requiring equal MIN and MAX values.
* D. Economy scaling policy: Similar to standard policy but conserves compute costs by scaling down aggressively.
References:
* Multi-Cluster Warehouse Modes

The query acceleration service in Snowflake is beneficial for workloads that include on-demand data analyses. This service optimizes query performance by dynamically allocating additional resources to execute queries faster, particularly useful for ad-hoc analysis where data volume and complexity can vary.
:
Snowflake Documentation: Query Acceleration Service

SnowSQL, Snowflake's command-line client, can be used to diagnose and troubleshoot network connections. SnowSQL provides various commands and options to test connectivity, configure network settings, and troubleshoot issues related to network connections between the client and Snowflake.
Reference:
Snowflake Documentation: SnowSQL

Snowflake is designed to optimize query performance by utilizing metadata for certain types of queries.
When executing a COUNT query, Snowflake can often fulfill the request by accessing metadata about the table's row count, rather than scanning the entire table or micro-partitions. This is particularly efficient for large tables like FCT_SALES with a significant number of records. The metadata layer maintains statistics about the table, including the row count, which enables Snowflake to quickly return the result of a COUNT query without the need to perform a full scan.
References:
* Snowflake Documentation on Metadata Management
* SnowPro Core Certification Study Guide