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Section 1
1.1 Describe and use the Snowflake architecture
Preview
Preview: Domain 1.0: Snowflake AI Data Cloud Features and Architecture
Preview includes- 4 of 6 lesson topics
- 1 overview segment
- 3 core concepts
- 2 exam tips
Lesson Topics
- Three-layer Snowflake architecture
- Database Storage layer
- Compute layer and virtual warehouses
- Cloud Services layer
Overview
1.1 Describe and use the Snowflake architecture is part of Domain 1.0: Snowflake AI Data Cloud Features and Architecture (31% of the current COF-C03 blueprint).
Core Concepts
- Snowflake separates database storage, compute, and cloud services; this decoupling is the foundation for independent scaling and workload isolation.
- The Database Storage layer holds Snowflake-managed, compressed columnar data in cloud storage. Users do not manage physical data files for standard Snowflake tables.
- Virtual warehouses are independent compute clusters that execute SQL and data-processing work. Two warehouses can query the same stored data without sharing compute resources.
Exam Tips
- When a scenario says two independent warehouses fail identically before meaningful compute begins, look above the compute layer.
- When one workload hurts another, ask whether separate warehouses solve contention without duplicating data.
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Section 2
1.2 Use Snowflake interfaces and tools
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Section 3
1.3 Differentiate Snowflake object hierarchy and types
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Section 4
1.4 Configure virtual warehouses
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Section 5
1.5 Explain Snowflake storage concepts
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Section 6
1.6 Explain AI/ML and application development features
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Section 7
2.1 Explain Snowflake security model and principles
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Section 8
2.2 Define data governance features and how they are used
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Section 9
2.3 Explain monitoring and cost management
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Section 10
3.1 Perform data loading and unloading
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Section 11
3.2 Perform automated data ingestion
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Section 12
3.3 Identify the different Snowflake Connectors and integrations
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Section 13
4.1 Evaluate query performance
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Section 14
4.2 Optimize query performance
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Section 15
4.3 Use Snowflake caching
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Section 16
4.4 Perform data transformation techniques
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Section 17
5.1 Explain data collaboration and protection
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Section 18
5.2 Explain Snowflake's data sharing capabilities
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Section 19
5.3 Share data using the Snowflake Marketplace and listings
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