Snowflake SnowPro Core Certification Exam Syllabus

COF-C02 Dumps Questions, COF-C02 PDF, SnowPro Core Certification Exam Questions PDF, Snowflake COF-C02 Dumps Free, SnowPro Core Certification Official Cert Guide PDFThe Snowflake COF-C02 exam preparation guide is designed to provide candidates with necessary information about the SnowPro Core Certification exam. It includes exam summary, sample questions, practice test, objectives and ways to interpret the exam objectives to enable candidates to assess the types of questions-answers that may be asked during the Snowflake Certified SnowPro Core Certification exam.

It is recommended for all the candidates to refer the COF-C02 objectives and sample questions provided in this preparation guide. The Snowflake SnowPro Core Certification is mainly targeted to the candidates who want to build their career in Core domain and demonstrate their expertise. We suggest you to use practice exam listed in this cert guide to get used to with exam environment and identify the knowledge areas where you need more work prior to taking the actual Snowflake SnowPro Core Certification exam.

Snowflake COF-C02 Exam Summary:

Exam Name
 Snowflake SnowPro Core Certification
Exam Code COF-C02
Exam Price $175 USD
Duration 115 minutes
Number of Questions 100
Passing Score 750 + Scaled Scoring from 0 - 1000
Recommended Training / Books Snowflake Fundamentals
SnowPro Core Certification Preparation Course
SnowPro Core Study Guide
Snowflake Hands on Essentials & Level Up Series
Snowflake in 20 Minutes
Schedule Exam PEARSON VUE
Sample Questions Snowflake COF-C02 Sample Questions
Recommended Practice Snowflake Certified SnowPro Core Certification Practice Test

Snowflake SnowPro Core Certification Syllabus:

Section Objectives Weight
Snowflake AI Data Cloud Features and Architecture - Outline key features of the Snowflake AI Data Cloud.
  • Elastic Storage
  • Elastic Compute
  • Snowflake’s three distinct layers
  • Cloud partner categories
  • Overview of Snowflake editions

- Outline key Snowflake tools and user interfaces.

  • Snowsight
  • SnowSQL
  • Snowflake connectors
  • Snowflake drivers
  • Snowpark
  • SnowCD

- Outline Snowflake’s catalog and objects.

  • Databases
  • Stages
  • Schema types
  • Table types
  • View types
  • Data types
  • User Defined Functions (UDFs)
  • User Defined Table Functions (UDTFs)
  • Stored Procedures
  • Streams
  • Tasks
  • Pipes
  • Shares
  • Sequences

- Outline Snowflake storage concepts.

  • Micro-partitions
  • Data clustering
  • Data Storage Monitoring
 25%
Account Access and Security - Outline security principles.
  • Network security and policies
  • Multi-Factor Authentication (MFA)
  • Federated authentication
  • Key pair authentication
  • Single Sign-On (SSO)

- Define the entities and roles that are used in Snowflake.

  • Overview of access control
    - Access control frameworks
    - Access control privileges
  • Outline how privileges can be granted and revoked
  • Explain role hierarchy and privilege inheritance

- Outline data governance capabilities in Snowflake.

  • Accounts
  • Organizations
  • Secure views
  • Secure functions
  • Information schemas
  • Access history
    - Tracking read/write operations
  • Overview of row/column-level security
  • Object tags
 20%
Performance Concepts - Explain the use of the Query Profile.
  • Explain plans
  • Data spilling
  • Use of the data cache
  • Micro-partition pruning
  • Query history

- Explain virtual warehouse configurations.

  • Types of warehouses
  • Multi-clustering warehouses
    - Scaling policies
    - Scaling modes
  • Warehouse sizing
  • Warehouse settings and access

- Outline virtual warehouse performance tools.

  • Monitoring warehouse loads
  • Scaling up compared to scaling out
  • Resource monitors
  • Query acceleration service

- Optimize query performance.

  • Describe the use of materialized views
  • Use of specific SELECT commands
  • Clustering
  • Search optimization service
  • Persisted query results
  • Understanding the impact of different types of caching
    - Metadata cache
    - Result cache
    - Warehouse cache
 15%
Data Loading and Unloading - Define concepts and best practices that should be considered when loading data.
  • Stages and stage types
  • File size and formats
  • Folder structures
  • Ad hoc/bulk loading
  • Snowpipe

- Outline different commands used to load data and when they should be used.

  • CREATE STAGE
  • CREATE FILE FORMAT
  • CREATE PIPE
  • CREATE EXTERNAL TABLE
  • COPY INTO
  • INSERT/INSERT OVERWRITE
  • PUT
  • VALIDATE

- Define concepts and best practices that should be considered when unloading data.

  • File size and formats
    - Overview of compression methods
  • Empty strings and NULL values
  • Unloading to a single file
  • Unloading relational tables

- Outline the different commands used to unload data and when they should be used.

  • GET
  • LIST
  • COPY INTO
  • CREATE STAGE
  • CREATE FILE FORMAT
 10%
Data Transformations - Explain how to work with standard data.
  • Estimation functions
  • Sampling
    - SAMPLE command
    - /TABLESAMPLE command
    - Sampling methods
    1.Fraction-based
    2.Fixed-size
  • Supported function types
    - System functions
    - Table functions
    - External functions
    - User-Defined Functions (UDFs)
  • Stored procedures
  • Streams
  • Tasks

- Explain how to work with semi-structured data.

  • Supported data formats, data types, and sizes
  • VARIANT column
  • Flattening the nested structure
    - FLATTEN command
    - LATERAL FLATTEN command
  • Semi-structured data functions
    - ARRAY/OBJECT creation and manipulation
    - Extracting values
    - Type predicates
- Explain how to work with unstructured data.
  • Define and use directory tables
  • SQL file functions
    - Types of URLs available to access files
  • Outline the purpose of User-Defined Functions (UDFs) for data analysis
 20%
Data Protection and Data Sharing - Outline Continuous Data Protection with Snowflake.
  • Time Travel
  • Fail-safe
  • Data Encryption
  • Cloning
  • Replication

- Outline Snowflake data sharing capabilities.

  • Account types
  • Snowflake Marketplace
  • Data exchange
  • Access control options
    - DDL commands to create and manage shares
    - Privileges required for working with shares
  • Secure Data Sharing (for example, Direct Share, Listing)
 10%
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