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Snowflake COF-C02 Exam Syllabus Topics:

Section	Objectives
Data Loading and Unloading	- Bulk loading using stages and COPY INTO - Data unloading and external stages
Data Transformations and Querying	- SQL querying in Snowflake - Semi-structured data handling (VARIANT, JSON, Parquet)
Snowflake Architecture and Overview	- Virtual warehouses and resource scaling concepts - Snowflake architecture concepts (cloud data platform, separation of storage and compute)
Data Protection, Security, and Performance	- Time Travel and Fail-safe concepts - Role-based access control (RBAC) - Query performance optimization basics

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Snowflake SnowPro Core Certification Exam Sample Questions (Q120-Q125):

NEW QUESTION # 120
Which Snowflake objects track DML changes made to tables, like inserts, updates, and deletes?

A. Streams
B. Procedures
C. Pipes
D. Tasks

Answer: A

Explanation:
Explanation
https://dataterrain.com/how-to-change-tracking-using-table-streams-in-snowflake/#:~:text=A%20stream%20is%

NEW QUESTION # 121
What is the purpose of the STRIP NULL_VALUES file format option when loading semi-structured data files into Snowflake?

A. It converts null values to empty strings during loading.
B. It removes object or array elements containing null values.
C. It removes null values from all columns in the data.
D. It skips rows with null values during the loading process.

Answer: B

Explanation:
The STRIP NULL_VALUES file format option, when set to TRUE, removes object or array elements that contain null values during the loading process of semi-structured data files into Snowflake. This ensures that the data loaded into Snowflake tables does not contain these null elements, which can be useful when the "null" values in files indicate missing values and have no other special meaning2.

NEW QUESTION # 122
What is the default size for a newly-provisioned Snowpark-optimized virtual warehouse?

A. Large
B. Small
C. Medium
D. X-Large

Answer: C

Explanation:
By default, Snowpark-optimized warehouses are provisioned with Medium size, unless specified otherwise.
This provides balanced compute for handling Snowpark operations.
Reference:
Snowflake Docs: Snowpark-Optimized Warehouses

NEW QUESTION # 123
How does the search optimization service help Snowflake users improve query performance?

A. It scans the local disk cache to avoid scans on the tables used in the Query.
B. It keeps track of running queries and their results and saves those extra scans on the table.
C. II maintains a persistent data structure that keeps track of the values of the table's columns m each of its micro-partitions.
D. It scans the micro-partitions based on the joins used in the queries and scans only join columns.

Answer: C

Explanation:
The search optimization service in Snowflake enhances query performance by maintaining a persistent data structure. This structure indexes the values of table columns across micro-partitions, allowing Snowflake to quickly identify which micro-partitions contain relevant data for a query. By efficiently narrowing down the search space, this service reduces the amount of data scanned during query execution, leading to faster response times and more efficient use of resources.
Reference: Snowflake Documentation on Search Optimization Service

NEW QUESTION # 124
Which metrics are provided in the Query Profile?

A. Data retention period and backup schedules
B. Query execution time and number of rows processed
C. Roles and permission of users running the queries
D. The costs of running queries by user

Answer: B

Explanation:
The Query Profile tool provides a visual breakdown of query execution including:
* Execution time per step
* Rows processed, scanned, or returnedThis helps analyze performance bottlenecks and optimize SQL.
Reference:
Snowflake Docs: Query Profile

NEW QUESTION # 125
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