SNOWFLAKE · objective · 15% of the exam
Use the Snowflake AI Data Cloud architecture
Exam objectives are the official skill domains SnowPro® Core Certification tests. Below are the official SNOWFLAKE docs our questions on this objective cite — review them, then practise.
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Official references for this objective
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Snowflake — Snowflake key concepts and architecture | Snowflake Documentation
Snowflake processes queries using massively parallel processing (MPP) compute clusters, where each node in the cluster stores a portion of the entire data set locally
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Snowflake — Micro-partitions & Data Clustering | Snowflake Documentation
The smaller the average depth, the better clustered the table is with regards to the specified columns.
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Snowflake — Getting Started on the Data Cloud
Snowflake automatically joins them together, allowing you to replicate data between accounts, enable secure collaboration across geographic regions
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Snowflake — Snowflake’s Elastic Cloud Services
Larger accounts with more consistent, sustained workloads may be more suited to a single-tenant cluster configuration where underutilization is less of a concern and we
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Snowflake — Supported cloud regions | Snowflake Documentation
Snowflake does not move data between accounts, so any data in an account in a region remains in the region unless users explicitly choose to
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Snowflake — Understanding overall cost | Snowflake Documentation
Usage of the cloud services layer is charged only if the daily consumption of cloud services resources exceeds 10% of the daily warehouse usage.
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Snowflake — Virtual warehouses | Snowflake Documentation
Snowpark-optimized warehouses are recommended for workloads that have large memory requirements such as ML training use cases.