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Snowflake COF-C02 Exam Syllabus

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Before starting your COF-C02 exam preparation, it is recommended to review the complete Snowflake SnowPro Core Certification Exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free COF-C02 questions. We also provide premium COF-C02 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Snowflake
Vendor
COF-C02
Exam Code
778
Total Questions
6
Total Exam Domains

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COF-C02 EXAM QUESTIONS

Snowflake COF-C02 Exam Objectives

Section 1: Domain 1.0: Snowflake Cloud Data Platform Features and Architecture
Weight:
20-25%
1.1 Outline key features of the Snowflake Cloud Data Platform.
  •     Elastic Storage
  •     Elastic Compute
  •     Snowflake’s three distinct layers
  •     Data Cloud/ Data Exchange/ Partner Network
  •     Cloud partner categories

1.2 Outline key Snowflake tools and user interfaces.
  •     Snowflake User Interfaces (UI)
  •     Snowsight
  •     Snowflake connectors
  •     Snowflake drivers
  •     SQL scripting
  •     Snowpark

1.3 Outline Snowflake’s catalog and objects.
  •     Databases
  •     Schemas
  •     Tables Types
  •     View Types
  •     Data types
  •     User-Defined Functions (UDFs) and User Defined Table Functions (UDTFs)
  •     Stored Procedures
  •     Streams
  •     Tasks
  •     Pipes
  •     Shares
  •     Sequences

1.4 Outline Snowflake storage concepts.
  •     Micro partitions
  •     Types of column metadata clustering
  •     Data Storage Monitoring
  •     Search Optimization Service
Section 2: Domain 2.0: Account Access and Security
Weight:
20-25%
2.1 Outline compute principles.
  •     Network security and policies
  •     Multi-Factor Authentication (MFA)
  •     Federated authentication
  •     Single Sign-On (SSO)

2.2 Define the entities and roles that are used in Snowflake.
  •     Outline how privileges can be granted and revoked
  •     Explain role hierarchy and privilege inheritance

2.3 Outline data governance capabilities in Snowflake.
  •     Accounts
  •     Organizations
  •     Databases
  •     Secure views
  •     Information schemas
  •     Access history and read support
Section 3: Domain 3.0: Performance Concepts
Weight:
10 - 15%
3.1 Explain the use of the Query Profile.
  •     Explain plans
  •     Data spilling
  •     Use of the data cache
  •     Micro-partition pruning
  •     Query history

3.2. Explain virtual warehouse configurations.
  •     Multi-clustering
  •     Warehouse sizing
  •     Warehouse settings and access

3.3 Outline virtual warehouse performance tools.
  •     Monitoring warehouse loads
  •     Query performance
  •     Scaling up compared to scaling out
  •     Resource monitors

3.4 Optimize query performance.
  •     Describe the use of materialized views
  •     Use of specific SELECT commands
Section 4: Domain 4.0: Data Loading and Unloading
Weight:
5 - 10%
4.1 Define concepts and best practices that should be considered when loading data.
  •     Stages and stage types
  •     File size
  •     File formats
  •     Folder structures
  •     Adhoc/bulk loading using the Snowflake UI

4.2 Outline different commands used to load data and when they should be used.
  •     CREATE PIPE
  •     COPY INTO
  •     GET
  •     INSERT/INSERT OVERWRITE
  •     PUT
  •     STREAM
  •     TASK
  •     VALIDATE

4.3 Define concepts and best practices that should be considered when unloading data.
  •     File formats
  •     Empty strings and NULL values
  •     Unloading to a single file
  •     Unloading relational tables

4.4 Outline the different commands used to unload data and when they should be used.
  •     LIST
  •     COPY INTO
  •     CREATE FILE FORMAT
  •     CREATE FILE FORMAT … CLONE
  •     ALTER FILE FORMAT
  •     DROP FILE FORMAT
  •     DESCRIBE FILE FORMAT
  •     SHOW FILE FORMAT
Section 5: Domain 5.0: Data Transformation
Weight:
20-25%
5.1 Explain how to work with standard data.
  •     Estimating functions
  •     Sampling
  •     Supported function types
  •     User-Defined Functions (UDFs) and stored procedures

5.2 Explain how to work with semi-structured data.
  •     Supported file formats, data types, and sizes
  •     VARIANT column
  •     Flattening the nested structure

5.3 Explain how to work with unstructured data.
  •     Define and use directory tables
  •     SQL file functions
  •     Outline the purpose of User-Defined Functions (UDFs) for data analysis
Section 6: Domain 6.0: Data Protection and Data Sharing
Weight:
5 - 10%

6.1 Outline Continuous Data Protection with Snowflake.
  •     Time Travel
  •     Fail-safe
  •     Data Encryption
  •     Cloning
  •     Replication

6.2 Outline Snowflake data sharing capabilities.
  •     Account types
  •     Data Marketplace and Data Exchange
  •     Private data exchange
  •     Access control options
  •     Shares
Info