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Snowflake COF-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Performance Optimization, Querying & Transformation	21%	- SQL Transformations, Semi-structured/Unstructured Data - Query Processing, Profiling, Optimization - Materialized Views, Streams, Tasks, Pipelines - Cortex AI, Notebooks, Apache Iceberg Tables
Topic 2: Account Management & Data Governance	20%	- Trust Center, Data Lineage, Compliance - Governance: Resource Monitors, Data Masking, Row/Column Security - Access Control: RBAC, DAC, Roles, Privileges - Security: Network Policies, MFA, Encryption
Topic 3: Data Loading, Unloading & Connectivity	18%	- Bulk Load, Streaming, Dynamic Tables - Stages, File Formats, COPY INTO, Snowpipe - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL
Topic 4: Snowflake Architecture & Core Concepts	31%	- Virtual Warehouses, Clustering, Caching - Databases, Schemas, Objects, Data Types - Cloud Services Layer, Compute Layer, Storage Layer - Snowsight Interface, Core Platform Features
Topic 5: Data Collaboration & Protection	10%	- Data Protection, Retention, Time Travel, Fail-safe - Data Clean Rooms, Collaboration Features - Secure Data Sharing, Listings, Marketplace

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q33-Q38):

NEW QUESTION # 33
What will happen if a Snowflake user increases the size of a suspended virtual warehouse?

A. The warehouse will resume immediately and start to share the compute load with other running virtual warehouses.
B. The warehouse will remain suspended but new resources will be added to the query acceleration service.
C. The provisioning of new compute resources for the warehouse will begin immediately.
D. The provisioning of additional compute resources will be in effect when the warehouse is next resumed.

Answer: D

Explanation:
When a Snowflake user increases the size of a suspended virtual warehouse, the changes to compute resources are queued but do not take immediate effect. The provisioning of additional compute resources occurs only when the warehouse is resumed. This ensures that resources are allocated efficiently, aligning with Snowflake's commitment to cost-effective and on-demand scalability.
References:
Snowflake Documentation: Virtual Warehouses

NEW QUESTION # 34
Which metadata table will store the storage utilization information even for dropped tables?

A. DATABASE_STORAGE_USAGE_HISTORY
B. STAGE STORAGE USAGE HISTORY
C. TABLE_STORAGE_METRICS
D. STORAGE_DAILY_HISTORY

Answer: C

Explanation:
The TABLE_STORAGE_METRICS metadata table stores the storage utilization information, including for tables that have been dropped but are still incurring storage costs2.

NEW QUESTION # 35
How can a Snowflake user optimize query performance in Snowflake? (Select TWO).

A. Index a table.
B. Enable Time Travel.
C. Create a view.
D. Cluster a table.
E. Enable the search optimization service.

Answer: D,E

Explanation:
To optimize query performance in Snowflake, users can cluster a table, which organizes the data in a way that minimizes the amount of data scanned during queries.Additionally, enabling the search optimization service can improve the performance of selective point lookup queries on large tables34.

NEW QUESTION # 36
A user is configuring Snowflake CLI for multiple environments, such as dev, test, and prod. The user would like to avoid re-entering credentials every time and keep profiles organized. Which Snowflake CLI feature should be used to manage these environments efficiently?

A. OAuth with a refresh token
B. Environment variables
C. Authentication delegation
D. Configuration file profiles

Answer: D

Explanation:
Snowflake CLI supports configuration files with named connection profiles. These profiles allow users to organize different environments, such as dev, test, and prod, and reuse stored connection settings instead of re- entering them each time.
Reference: Snowflake Documentation - Snowflake CLI configuration; Connection profiles.
==

NEW QUESTION # 37
What parameter setting will maximize parallel processing when unloading data from Snowflake?

A. SINGLE = TRUE
B. DETAILED_OUTPUT
C. DETAILED OUTPUT = TRUE/FALSE
D. SINGLE = FALSE

Answer: D

Explanation:
When SINGLE = FALSE is set during COPY INTO, Snowflake writes multiple output files , enabling parallelism . Setting SINGLE = TRUE forces one output file, reducing parallel processing.
Reference:
Snowflake Docs: COPY INTO Parameters

NEW QUESTION # 38
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