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Snowflake COF-C02 Exam Syllabus Topics:

SectionWeightObjectives
Data Pipelines & Automation10%- Workflow & automation
  • 1. Change data capture and processing
  • 2. Streams, tasks, and pipes
- Integration & connectivity
  • 1. External functions and API integration
  • 2. Connectors and ETL/ELT patterns
Performance Concepts & Optimization15%- Data optimization features
  • 1. Caching and result reuse
  • 2. Clustering keys, search optimization, materialized views
- Warehouse sizing & tuning
  • 1. Scaling, clustering, and concurrency management
  • 2. Query profiling and optimization techniques
Data Protection & Data Sharing10%- Secure data sharing
  • 1. Direct sharing, data exchanges, reader accounts
  • 2. Sharing security and access control
- Data recovery & retention
  • 1. Data retention policies and backup
  • 2. Time Travel, Fail-safe, cloning capabilities
Snowflake Architecture & Cloud Concepts25%- Cloud data platform fundamentals
  • 1. Virtual warehouses and resource management
  • 2. Service layers and separation of storage/compute
  • 3. Data storage structure and formats
- Account structure and hierarchy
  • 1. Object ownership and naming conventions
  • 2. Organization, account, database, schema levels
Data Loading & Transformation20%- Data transformation & querying
  • 1. Working with structured, semi-structured, unstructured data
  • 2. DDL/DML operations and SQL functions
- Data ingestion methods
  • 1. File formats and data type handling
  • 2. Bulk loading, continuous loading, external stages
Account Access & Security20%- Authentication & authorization
  • 1. Network policies and security settings
  • 2. Users, roles, privileges and access control
- Data protection & governance
  • 1. Data masking and row-level security
  • 2. Encryption at rest and in transit

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Snowflake SnowPro Core Certification Exam Sample Questions (Q190-Q195):

NEW QUESTION # 190
A security review identified several roles that are no longer being used. Which of the roles can be dropped?

Answer: C


NEW QUESTION # 191
Which Snowsight feature can be used to perform data manipulations and transformations using a programming language?

Answer: C

Explanation:
Python worksheets in Snowsight enable users to perform data manipulations and transformations using the Python programming language directly within the Snowflake environment. This feature integrates the power of Python with Snowflake's data warehousing capabilities, allowing for sophisticated data analysis and manipulation.
Introduction to Python Worksheets:
Python worksheets provide an interactive environment to write and execute Python code.
They are designed to facilitate data science and data engineering tasks.
Functionality:
Users can run Python scripts to manipulate data stored in Snowflake.
It allows for leveraging Python's extensive libraries for data analysis, machine learning, and more.
Integration with Snowflake:
Python worksheets run on Snowflake's compute infrastructure, ensuring scalability and performance.
They can access and manipulate Snowflake tables directly, making them a powerful tool for data transformation.
Reference:
Snowflake Documentation: Snowsight Python Worksheets


NEW QUESTION # 192
True or False: When you create a custom role, it is a best practice to immediately grant that role to ACCOUNTADMIN.

Answer: A

Explanation:
The ACCOUNTADMIN role is the most powerful role in Snowflake and should be limited to a select number of users within an organization. It is responsible for account-level configurations and should not be used for day-to-day object creation or management. Granting a custom role to ACCOUNTADMIN could inadvertently give broad access to users with this role, which is not a recommended security practice.


NEW QUESTION # 193
What does Snowflake attempt to do if any of the compute resources for a virtual warehouse fail to provision during start-up?

Answer: B

Explanation:
If any compute resources for a virtual warehouse fail to provision during startup, Snowflake will attempt to restart those failed resources. The system is designed to automatically handle transient issues that might occur during the provisioning of compute resources. By restarting the failed resources, Snowflake aims to ensure that the virtual warehouse has the necessary compute capacity to handle the user's workloads without manual intervention.
References: Snowflake Documentation on Virtual Warehouses


NEW QUESTION # 194
Which Snowflake feature provides increased login security for users connecting to Snowflake that is powered by Duo Security service?

Answer: B

Explanation:
Multi-Factor Authentication (MFA) provides increased login security for users connecting to Snowflake. Snowflake's MFA is powered by Duo Security service, which adds an additional layer of security during the login process.


NEW QUESTION # 195
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