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Snowflake COF-C03 Exam Syllabus Topics:

SectionWeightObjectives
Data Sharing12%- Data listing marketplace
- Reader account management
- Private sharing vs. Data Exchange
- Shares and reader accounts
Security & Access Control10%- Row-level and column-level security
- Authentication (SSO, MFA)
- Masking policies
- Authorization (roles, privileges)
- Governance best practices
Account Objects8%- Resource monitors
- Organizations and accounts structure
- Warehouses, databases, and schemas hierarchy
Time Travel & Cloning10%- Zero-copy cloning
- Time travel concepts and retention
- UNDROP and historical data access
- Fail-safe concepts
Data Loading & Unloading15%- Bulk loading with COPY command
- Data unloading and staging
- File formats (JSON, CSV, Parquet, AVRO)
- Data ingestion best practices
- Continuous loading with Snowpipe
Virtual Warehouses15%- Cache concepts (warehouse, result, metadata)
- Warehouse monitoring and troubleshooting
- Warehouse creation and configuration
- Warehouse sizing and scaling
- Multi-cluster warehouses
Cloud Platform Overview & Snowflake Key Concepts8%- Snowflake architecture layers (storage, compute, services)
- Virtual warehouse concepts and credit usage
- Snowflake editions and features
Semi-Structured Data10%- Parsing and flattening semi-structured data
- VARIANT data type
- Array and object operations
Databases, Tables & Views18%- Views (standard, materialized, secure)
- Column types and sequences
- Stored procedures and UDFs
- Data manipulation (DML operations)
- Table types (permanent, transient, temporary)
- Clustering and micro-partitions
Performance Optimization & Monitoring4%- Query profiling and performance tuning
- Resource optimization techniques
- Query history and monitoring

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q97-Q102):

NEW QUESTION # 97
What Snowflake features are recommended to restrict unauthorized users from accessing Personal Identifiable Information (PII)? (Select TWO).

Answer: B,E


NEW QUESTION # 98
What is a feature of column-level security in Snowflake?

Answer: B

Explanation:
Column-level security in Snowflake is implemented through Role Access Policies. These policies allow administrators to control access to specific columns of a table or view based on the role of the user accessing the data. By applying a role access policy to a column, administrators can ensure that sensitive information remains secure, and only users with the appropriate roles can view or query the data in that column. This feature enhances the security model by providing fine-grained access control at the column level.
References:
Snowflake Documentation: Implementing Column-level Security


NEW QUESTION # 99
Which function unloads data from a relational table to JSON?

Answer: B

Explanation:
To unload data from a relational table to JSON format, you can use the TO_CHAR function. This function converts a number to a character string, which can then be serialized into JSON format. While there isn ' t a direct function specifically named for unloading to JSON, converting the necessary fields to a string representation is a common step in preparing data for JSON serialization.
Snowflake Documentation: TO_CHAR Function


NEW QUESTION # 100
A stream object will advance its offset when it is used in which statement?

Answer: B


NEW QUESTION # 101
What feature can be used to reorganize a very large table on one or more columns?

Answer: C

Explanation:
Clustering keys in Snowflake are used to reorganize large tables based on one or more columns. This feature optimizes the arrangement of data within micro-partitions to improve query performance, especially for large tables where efficient data retrieval is crucial. References: [COF-C02] SnowPro Core Certification Exam Study Guide
https://docs.snowflake.com/en/user-guide/tables-clustering-keys.html


NEW QUESTION # 102
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