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Snowflake COF-C03 Exam Syllabus Topics:

SectionObjectives
Topic 1: Security and Access Control- Role-based access control (RBAC)
- Authentication and user management
Topic 2: Data Transformation and Processing- SQL operations in Snowflake
- Streams and tasks for data pipelines
Topic 3: Snowflake Architecture and Platform Concepts- Snowflake architecture fundamentals
- Virtual warehouses and compute model
- Storage and data organization
Topic 4: Data Sharing and Protection- Secure data sharing
- Data replication and failover concepts
Topic 5: Performance and Optimization- Warehouse sizing and scaling
- Query optimization basics
Topic 6: Data Loading and Unloading- External and internal stages
- Bulk data loading using stages and COPY INTO

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q735-Q740):

NEW QUESTION # 735
When a schema is cloned what happens to the tags that reside in that schema or database?

Answer: A


NEW QUESTION # 736
A Snowflake account has activated federated authentication.
What will occur when a user with a password that was defined by Snowflake attempts to log in to Snowflake?

Answer: C

Explanation:
When federated authentication is activated in Snowflake, users authenticate via an external identity provider (IdP) rather than using Snowflake-managed credentials. Therefore, a user with a password defined by Snowflake will be unable to enter a password and must use their IdP credentials to log in.


NEW QUESTION # 737
The effects of query pruning can be observed by evaluating which statistics? (Select TWO).

Answer: B,E

Explanation:
Query pruning in Snowflake refers to the optimization technique where the system reduces the amount of data scanned by a query based on the query conditions. This typically involves skipping unnecessary data partitions that do not contribute to the query result. The effectiveness of this technique can be observed through:
Option A: Partitions scanned. This statistic indicates how many data partitions were actually scanned as a result of query pruning, showing the optimization in action.
Option C: Bytes scanned. This measures the volume of data physically read during query execution, and a reduction in this number indicates effective query pruning, as fewer bytes are read when unnecessary partitions are skipped.
Options B, D, and E do not directly relate to observing the effects of query pruning. "Partitions total" shows the total available, not the impact of pruning, while "Bytes read from result" and "Bytes written" relate to output rather than the efficiency of data scanning.References: Snowflake documentation on performance tuning and query optimization techniques, specifically how query pruning affects data access.


NEW QUESTION # 738
Which step will reduce costs when backing up a table?

Answer: C

Explanation:
The correct answer is A. Clone the table .
The most cost-efficient way to back up a Snowflake table is to use zero-copy cloning . A clone creates a copy of the table's metadata without immediately duplicating the underlying micro-partitions.
Why A is correct:
When a table is cloned, Snowflake creates a new independent table object that initially shares the same micro- partitions as the source table. Because the underlying data is not copied at clone creation time, cloning is fast and storage-efficient.
This is why cloning is commonly used for backups, development, testing, and point-in-time snapshots.
Important concept:
At the instant a clone is created, the original table and cloned table share the same micro-partitions. The clone becomes independent after creation, and changes to either object do not modify the other object. Additional storage is used only when data changes occur.
Why the other options are incorrect:
B). Downloading table data to a stage creates additional data files and increases storage and operational overhead.
C). Sharing data with another account in another region is not the simplest or lowest-cost table backup method.
Cross-region replication or sharing can involve additional costs.
D). A CTAS statement physically creates a new table from query results and can duplicate data storage, making it less storage-efficient than cloning.
Official Snowflake documentation reference:
Snowflake documentation explains that zero-copy cloning creates a copy of a database, schema, or table without duplicating the underlying storage at the time the clone is created.
Reference: Snowflake Documentation - Zero-copy cloning; Snowflake Documentation - CREATE TABLE ... CLONE; SnowPro Core Study Guide - Snowflake Architecture and Data Protection.


NEW QUESTION # 739
Which table type is used in the file processing pipeline to process unstructured data in Snowflake?

Answer: A


NEW QUESTION # 740
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