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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Time Travel & Cloning | 10% | - Fail-safe concepts - Time travel concepts and retention - UNDROP and historical data access - Zero-copy cloning |
| Topic 2: Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Query history and monitoring - Resource optimization techniques |
| Topic 3: Virtual Warehouses | 15% | - Multi-cluster warehouses - Warehouse sizing and scaling - Warehouse monitoring and troubleshooting - Cache concepts (warehouse, result, metadata) - Warehouse creation and configuration |
| Topic 4: Data Loading & Unloading | 15% | - File formats (JSON, CSV, Parquet, AVRO) - Data ingestion best practices - Continuous loading with Snowpipe - Bulk loading with COPY command - Data unloading and staging |
| Topic 5: Security & Access Control | 10% | - Governance best practices - Authentication (SSO, MFA) - Authorization (roles, privileges) - Masking policies - Row-level and column-level security |
| Topic 6: Data Sharing | 12% | - Shares and reader accounts - Reader account management - Data listing marketplace - Private sharing vs. Data Exchange |
| Topic 7: Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure - Resource monitors |
| Topic 8: Databases, Tables & Views | 18% | - Stored procedures and UDFs - Column types and sequences - Views (standard, materialized, secure) - Data manipulation (DML operations) - Clustering and micro-partitions - Table types (permanent, transient, temporary) |
| Topic 9: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) |
| Topic 10: Semi-Structured Data | 10% | - Parsing and flattening semi-structured data - VARIANT data type - Array and object operations |
>> Practical COF-C03 Information <<
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NEW QUESTION # 1100
Which methods can be used to delete staged files from a Snowflake stage? (Choose two.)
Answer: A,C
Explanation:
To delete staged files from a Snowflake stage, you can specify the PURGE option in the COPY INTO <table>command, which will automatically delete the files after they have been successfully loaded.Additionally, you can use the REMOVEcommand after the load completes to manually delete the files from the stage12.
References =DROP STAGE,REMOVE
NEW QUESTION # 1101
A user wants to share a secure view that references an object located in a different database.
Which privileges must be granted to the share?
Answer: C
Explanation:
To share a secure view, the share requires USAGE on the database and schema that contain the secure view and SELECT on the secure view itself.
When the secure view references an object in another database, the share must also receive REFERENCE_USAGE on the referenced database. This privilege allows objects in the shared database to reference objects in another database without granting the consumer direct access to the referenced database's objects.
Granting ordinary USAGE on the referenced database is not the documented replacement for REFERENCE_USAGE in this cross-database sharing scenario.
Correction: The original option D incorrectly said USAGE on the secure view. Views receive the SELECT privilege, not the USAGE privilege. None of the original options was fully correct until that wording was corrected.
References:
Snowflake Documentation - Sharing data from multiple databases: https://docs.snowflake.com/en/user-guide
/data-sharing-multiple-db
Snowflake Documentation - Sharing secure views: https://docs.snowflake.com/en/user-guide/data-sharing- secure-views
==
NEW QUESTION # 1102
What internal stages are available in Snowflake? (Choose three.)
Answer: B,C,D
Explanation:
Snowflake supports three types of internal stages: Named, User, and Table stages. These stages are used for staging data files to be loaded into Snowflake tables.Schema, Stream, and Database stages are not supported as internal stages in Snowflake. References: Snowflake Documentation1.
NEW QUESTION # 1103
By definition, a secure view is exposed only to users with what privilege?
Answer: C
Explanation:
A secure view in Snowflake is exposed only to users with the OWNERSHIP privilege.This privilege ensures that only authorized users who own the view, or roles that include ownership, can access the secure view
NEW QUESTION # 1104
A sales table FCT_SALES has 100 million records.
The following Query was executed
SELECT COUNT (1) FROM FCT__SALES;
How did Snowflake fulfill this query?
Answer: A
Explanation:
Snowflake is designed to optimize query performance by utilizing metadata for certain types of queries. When executing a COUNT query, Snowflake can often fulfill the request by accessing metadata about the table's row count, rather than scanning the entire table or micro-partitions. This is particularly efficient for large tables like FCT_SALES with a significant number of records. The metadata layer maintains statistics about the table, including the row count, which enables Snowflake to quickly return the result of a COUNT query without the need to perform a full scan.
References:
Snowflake Documentation on Metadata Management
SnowPro Core Certification Study Guide
NEW QUESTION # 1105
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