Last Updated: Sep 05, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage |
| Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query profiling and performance tuning - Query history and monitoring |
| Account Objects | 8% | - Resource monitors - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure |
| Virtual Warehouses | 15% | - Multi-cluster warehouses - Cache concepts (warehouse, result, metadata) - Warehouse sizing and scaling - Warehouse creation and configuration - Warehouse monitoring and troubleshooting |
| Data Loading & Unloading | 15% | - File formats (JSON, CSV, Parquet, AVRO) - Data unloading and staging - Continuous loading with Snowpipe - Data ingestion best practices - Bulk loading with COPY command |
| Semi-Structured Data | 10% | - Parsing and flattening semi-structured data - VARIANT data type - Array and object operations |
| Data Sharing | 12% | - Private sharing vs. Data Exchange - Data listing marketplace - Shares and reader accounts - Reader account management |
| Security & Access Control | 10% | - Row-level and column-level security - Authorization (roles, privileges) - Masking policies - Governance best practices - Authentication (SSO, MFA) |
| Databases, Tables & Views | 18% | - Stored procedures and UDFs - Table types (permanent, transient, temporary) - Data manipulation (DML operations) - Column types and sequences - Views (standard, materialized, secure) - Clustering and micro-partitions |
| Time Travel & Cloning | 10% | - Time travel concepts and retention - Fail-safe concepts - Zero-copy cloning - UNDROP and historical data access |
Question 1
Which Snowflake table supports unstructured data?
A. Temporary
B. Permanent
C. Directory
D. Transient
Question 2
Why would a Snowflake user decide to use a materialized view instead of a regular view?
A. The query is not resource intensive.
B. The query results are not used frequently.
C. The base tables do not change frequently.
D. The results of the view change often.
Question 3
What feature can be used to reorganize a very large table on one or more columns?
A. Clustering keys
B. Clustered partitions
C. Micro-partitions
D. Key partitions
Question 4
Which function can be used to convert semi-structured data into a relational representation?
A. PARSE_JSON
B. ARRAYS_TO_OBJECT
C. OBJECT_KEYS
D. FLATTEN
Question 5
What affects whether the query results cache can be used?
A. If the query contains a deterministic function
B. If multiple users are using the same virtual warehouse
C. If the virtual warehouse has been suspended
D. If the referenced data in the table has changed
Solutions:
| Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: A | Question 4 Answer: D | Question 5 Answer: D |
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