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Snowflake COF-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Sharing | 12% | - Private sharing vs. Data Exchange - Reader account management - Shares and reader accounts - Data listing marketplace |
| Databases, Tables & Views | 18% | - Clustering and micro-partitions - Table types (permanent, transient, temporary) - Views (standard, materialized, secure) - Column types and sequences - Stored procedures and UDFs - Data manipulation (DML operations) |
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage |
| Account Objects | 8% | - Resource monitors - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure |
| Data Loading & Unloading | 15% | - File formats (JSON, CSV, Parquet, AVRO) - Data unloading and staging - Bulk loading with COPY command - Continuous loading with Snowpipe - Data ingestion best practices |
| Semi-Structured Data | 10% | - VARIANT data type - Parsing and flattening semi-structured data - Array and object operations |
| Time Travel & Cloning | 10% | - Zero-copy cloning - Time travel concepts and retention - Fail-safe concepts - UNDROP and historical data access |
| Security & Access Control | 10% | - Masking policies - Governance best practices - Row-level and column-level security - Authorization (roles, privileges) - Authentication (SSO, MFA) |
| Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses - Warehouse monitoring and troubleshooting - Warehouse creation and configuration - Warehouse sizing and scaling |
| Performance Optimization & Monitoring | 4% | - Query history and monitoring - Query profiling and performance tuning - Resource optimization techniques |
Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions:
Question 1
What is the purpose of configuring the scale factor parameter when using the Query Acceleration Service?
A. It is used when there are not enough partitions in a table to accelerate the query.
B. It is a concurrency control tool used to avoid unnecessary scaling up when the query is accelerated and the warehouse is running in Maximized mode.
C. It increases the default selectivity of any filter parameters when the query is accelerated.
D. It controls costs by setting an upper bound on the amount of compute resources a warehouse can use for query acceleration.
Question 2
Which statistics can be used to identify queries that have inefficient pruning? (Select TWO).
A. Percentage scanned from cache
B. Bytes scanned
C. Partitions total
D. Bytes written to result
E. Partitions scanned
Question 3
A company needs to allow some users to see Personally Identifiable Information (PII) while limiting other users from seeing the full value of the PII.
Which Snowflake feature will support this?
A. Data masking policies
B. Row access policies
C. Data encryption
D. Role based access control
Question 4
What do these Query Profile metrics indicate about the query micro-partition pruning?
A. No micro-partitions were pruned during execution.
B. The size of the data queried was too small to trigger micro-partition pruning.
C. The query used the local disk cache and pruning was not required.
D. Since the bytes scanned is less than the bytes written to results some pruning has occurred.
Question 5
Which file format option should be used when unloading data into a stage to create a CSV or a JSON file?
A. SKIP_HEADER
B. TRIM_SPACE
C. PARSE_HEADER
D. FILE_EXTENSION
Solutions:
| Question 1 Answer: D | Question 2 Answer: C,E | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: D |




