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Snowflake COF-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Protection & Data Sharing	10%	- Secure data sharing 1. Sharing security and access control 2. Direct sharing, data exchanges, reader accounts - Data recovery & retention 1. Data retention policies and backup 2. Time Travel, Fail-safe, cloning capabilities
Topic 2: Account Access & Security	20%	- Data protection & governance 1. Data masking and row-level security 2. Encryption at rest and in transit - Authentication & authorization 1. Users, roles, privileges and access control 2. Network policies and security settings
Topic 3: Performance Concepts & Optimization	15%	- Warehouse sizing & tuning 1. Scaling, clustering, and concurrency management 2. Query profiling and optimization techniques - Data optimization features 1. Caching and result reuse 2. Clustering keys, search optimization, materialized views
Topic 4: Snowflake Architecture & Cloud Concepts	25%	- Cloud data platform fundamentals 1. Data storage structure and formats 2. Service layers and separation of storage/compute 3. Virtual warehouses and resource management - Account structure and hierarchy 1. Organization, account, database, schema levels 2. Object ownership and naming conventions
Topic 5: Data Pipelines & Automation	10%	- Workflow & automation 1. Change data capture and processing 2. Streams, tasks, and pipes - Integration & connectivity 1. Connectors and ETL/ELT patterns 2. External functions and API integration
Topic 6: Data Loading & Transformation	20%	- Data ingestion methods 1. File formats and data type handling 2. Bulk loading, continuous loading, external stages - Data transformation & querying 1. DDL/DML operations and SQL functions 2. Working with structured, semi-structured, unstructured data

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Snowflake SnowPro Core Certification Exam Sample Questions (Q561-Q566):

NEW QUESTION # 561
Which command can be performed on a Snowflake secure view?

A. UPDATE
B. SELECT
C. INSERT
D. DELETE

Answer: B

Explanation:
* A secure view in Snowflake is designed to enforce stricter access control and prevent unauthorized access to the underlying data.
* Only SELECT statements can be performed on a secure view, as they are read-only objects.
Why Other Options Are Incorrect:
* B. INSERT / C. UPDATE / D. DELETE: Secure views do not allow DML (Data Manipulation Language) operations.
References:
* Secure Views Documentation

NEW QUESTION # 562
What actions will prevent leveraging of the ResultSet cache? (Choose two.)

A. Stopping the virtual warehouse that the query is running against
B. Changing a column that is not in the cached query
C. Executing the RESULTS_SCAN() table function
D. Removing a column from the query SELECT list
E. Clustering of the data used by the query

Answer: A,C

Explanation:
The ResultSet cache is leveraged to quickly return results for repeated queries. Actions that prevent leveraging this cache include stopping the virtual warehouse that the query is running against (B) and executing the RESULTS_SCAN() table function (D). Stopping the warehouse clears the local disk cache, including the ResultSet cache1. The RESULTS_SCAN() function is used to retrieve the result of a previously executed query, which bypasses the need for the ResultSet cache.

NEW QUESTION # 563
A global company needs to share financial reports with managers who are in different regions. Managers should only see the data from their respective regions. How can these requirements be met with the least amount of operational overhead?

A. Use row-level security on the source data table used to generate the reports.
B. Apply Dynamic Data Masking based on a custom role assigned to each manager.
C. Create unique views for each region.
D. Build individual reports for each manager.

Answer: A

Explanation:
The correct answer is C. Use row-level security on the source data table used to generate the reports .
The requirement is to let managers see only rows for their respective regions. This is a row-filtering requirement, so Snowflake row-level security is the best fit.
Why C is correct:
Row-level security in Snowflake is implemented using row access policies. A row access policy can dynamically filter table rows based on the current user, current role, or mapping table logic.
Example concept:
CREATE ROW ACCESS POLICY region_policy
AS (region STRING) RETURNS BOOLEAN - >
region IN (
SELECT allowed_region
FROM manager_region_map
WHERE manager_role = CURRENT_ROLE()
);
This allows one shared table or report to serve multiple managers while enforcing region-specific visibility.
Why the other options are incorrect:
A). Creating unique views for each region increases operational overhead as regions or access rules change.
B). Building individual reports for each manager creates the highest operational overhead and is difficult to maintain.
D). Dynamic Data Masking hides or transforms column values. It does not filter rows by region.
Official Snowflake documentation reference:
Snowflake documentation describes row access policies as schema-level objects that determine whether a row is visible in a query result. They are used to implement row-level security.
Reference: Snowflake Documentation - Row access policies; Snowflake Documentation - Dynamic Data Masking; SnowPro Core Study Guide - Data Protection and Governance.

NEW QUESTION # 564
How can a row access policy be applied to a table or a view? (Choose two.)

A. Within the policy DDL
B. Using the command ALTER <object> ADD ROW ACCESS POLICY <policy>;
C. Within the create table or create view DDL
D. Within a control table
E. By future APPLY for all objects in a schema

Answer: A,B

Explanation:
A row access policy can be applied to a table or a view within the policy DDL when defining the policy. Additionally, an existing row access policy can be applied to a table or a view using the ALTER
<object> ADD ROW ACCESS POLICY <policy> command

NEW QUESTION # 565
True or False: A 4X-Large Warehouse may, at times, take longer to provision than a X-Small Warehouse.

A. True
B. False

Answer: A

NEW QUESTION # 566
......

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