Last Updated: Aug 21, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Account Management & Data Governance | 20% | - Governance: Resource Monitors, Data Masking, Row/Column Security - Security: Network Policies, MFA, Encryption - Access Control: RBAC, DAC, Roles, Privileges - Trust Center, Data Lineage, Compliance |
| Snowflake Architecture & Core Concepts | 31% | - Snowsight Interface, Core Platform Features - Cloud Services Layer, Compute Layer, Storage Layer - Virtual Warehouses, Clustering, Caching - Databases, Schemas, Objects, Data Types |
| Performance Optimization, Querying & Transformation | 21% | - Query Processing, Profiling, Optimization - SQL Transformations, Semi-structured/Unstructured Data - Cortex AI, Notebooks, Apache Iceberg Tables - Materialized Views, Streams, Tasks, Pipelines |
| Data Collaboration & Protection | 10% | - Data Protection, Retention, Time Travel, Fail-safe - Data Clean Rooms, Collaboration Features - Secure Data Sharing, Listings, Marketplace |
| Data Loading, Unloading & Connectivity | 18% | - Stages, File Formats, COPY INTO, Snowpipe - External Integrations, Connectors, SnowSQL - Unloading Data, Export Options - Bulk Load, Streaming, Dynamic Tables |
1. Which option can be used to define column data types when unloading data into Parquet-formatted files?
A) SINGLE = TRUE
B) CAST or the :: operator in the COPY INTO statement
C) BINARY_AS_TEXT = TRUE
D) EMPTY_FIELD_AS_NULL = FALSE
2. Which metadata table will store the storage utilization information even for dropped tables?
A) STORAGE_DAILY_HISTORY
B) STAGE STORAGE USAGE HISTORY
C) TABLE_STORAGE_METRICS
D) DATABASE_STORAGE_USAGE_HISTORY
3. How does Snowflake handle the data retention period for a table if a stream has not been consumed?
A) The data retention period is not affected by the stream consumption.
B) The data retention period is temporarily extended to the stream ' s offset.
C) The data retention period is reduced to a minimum of 14 days.
D) The data retention period is permanently extended for the table.
4. A Snowflake user wants to design a series of transformations that need to be executed in a specific order on a given schedule.
Which of the snowflake objects should be used?
A) Streams
B) Pipes
C) Tasks
D) Sequences
5. What is a key difference between JSON and CSV file formats when loading data? Select TWO.
A) JSON can be loaded into a VARIANT column without predefined schema
B) CSV files automatically detect and apply data types during loading
C) JSON must be converted to CSV before it can be queried
D) CSV stores flat, tabular data
E) CSV supports complex data types such as arrays and objects
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: A,D |
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