SnowPro Core Certification Exam COF-C02 Dumps

COF-C02 is the new version code of the SnowPro Core Certification Exam. The SnowPro Core Certification demonstrates an individual's knowledge to apply core expertise implementing and migrating to Snowflake. Passcert provides authentic SnowPro Core Certification Exam COF-C02 Dumps which are closed to the actual questions and will cover each of the topics of your SnowPro Core Certification exam with ease. By preparing the SnowPro Core Certification Exam COF-C02 Dumps, your probabilities of passing the SnowPro Core Certification Exam will definitely boost. With the help of the SnowPro Core Certification Exam COF-C02 Dumps, you will be able to clear the Snowflake COF-C02 exam on the first attempt.

SnowPro Core Certification Exam COF-C02 Dumps

[COF-C02] SnowPro Core Certification Exam

The SnowPro Core Certification demonstrates an individual's knowledge to apply specific core expertise implementing and migrating to Snowflake. A SnowPro Core Certified individual has a thorough understanding of the Snowflake Cloud Data Platform, and has the knowledge necessary to design, develop and manage secure, scalable Snowflake solutions to drive business objectives.

This exam covers Snowflake principles and best practices including: Data Loading and Transformation in Snowflake, Virtual Warehouse Performance and Concurrency, DDL and DML Queries, Using Semi-Structured and Unstructured Data, Cloning and Time Travel, Data Sharing, and Snowflake Account Structure and Management.

Exam Format

Exam Version: COF-C02

Total Number of Questions: 100

Question Types: Multiple Select, Multiple Choice

Time Limit: 115 minutes

Languages: English

Registration Fee: $175 USD

Passing Score: 750 + Scaled Scoring from 0 - 1000

Exam Domain

Domain 1.0: Snowflake Cloud Data Platform Features and Architecture

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

Domain 2.0: Account Access and Security

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

Domain 3.0: Performance Concepts

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

Domain 4.0: Data Loading and Unloading

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

Domain 5.0: Data Transformation

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

Domain 6.0: Data Protection and Data Sharing

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