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Snowflake COF-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Performance Optimization20-25%- Warehouse Optimization
  • 1. Auto-Suspend/Auto-Resume
  • 2. Multi-cluster Configuration
  • 3. Warehouse Sizing
- Data Optimization
  • 1. Clustering Keys
  • 2. Search Optimization Service
  • 3. Materialized Views
- Query Performance
  • 1. Query History
  • 2. Result Set Caching
  • 3. Query Profiling
Topic 2: Account Access and Security20-25%- Authorization
  • 1. Grant/Revoke Commands
  • 2. Object Privileges
  • 3. Role Hierarchy
- Authentication
  • 1. User/Role Management
  • 2. SSO Integration
  • 3. Multi-Factor Authentication
- Network Security
  • 1. Network Policies
  • 2. Private Connectivity
Topic 3: Cloud Architecture and Data Loading20-25%- Snowflake Architecture Overview
  • 1. Virtual Warehouses
  • 2. Multi-cluster Warehouses
  • 3. Layers (Storage, Compute, Services)
  • 4. Snowflake Editions
- Data Loading Techniques
  • 1. Data Loading Best Practices
  • 2. Continuous Loading
  • 3. Bulk Loading (COPY INTO)
Topic 4: Data Handling and Transformation15-20%- Data Transformation
  • 1. Time Travel Features
  • 2. Snowflake SQL Functions
  • 3. Data Pipelines
- Semi-Structured Data
  • 1. VARIANT Data Type
  • 2. Flattening Data
  • 3. JSON/Avro/Parquet Handling
Topic 5: Billing and Account Management10-15%- Credit Usage
  • 1. Credit Monitoring
  • 2. Resource Monitors
- Account Operations
  • 1. Database/Schema Management
  • 2. Object Naming Conventions
  • 3. Account Parameters

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Snowflake SnowPro Core Certification Exam Sample Questions (Q91-Q96):

NEW QUESTION # 91
Which is a best practice recommendation when planning to load data into a table?

Answer: A

Explanation:
* Snowflake recommends using separate virtual warehouses for loading and querying to avoid resource contention.
* This ensures that querying operations are not delayed by resource-intensive loading tasks.
References:
* Snowflake Documentation: Best Practices for Data Loading
* Snowflake Virtual Warehouse Management


NEW QUESTION # 92
When cloning a database, what is cloned with the database? (Choose two.)

Answer: C,D


NEW QUESTION # 93
What is the MINIMUM Snowflake edition required to use the periodic rekeying of micro-partitions?

Answer: C

Explanation:
Reference: https://docs.snowflake.com/en/user-guide/intro-editions.html#business-critical-edition


NEW QUESTION # 94
Which function can be used to convert semi-structured data into rows and columns?

Answer: B

Explanation:
To convert semi-structured data into rows and columns in Snowflake, the FLATTEN function is utilized.
FLATTEN Function: This function takes semi-structured data (e.g., JSON) and transforms it into a relational table format by breaking down nested structures into individual rows. This process is essential for querying and analyzing semi-structured data using standard SQL operations.
Example Usage:
SELECT
f.value:attribute1 AS attribute1,
f.value:attribute2 AS attribute2
FROM
my_table,
LATERAL FLATTEN(input => my_table.semi_structured_column) f;
Reference:
Snowflake Documentation on FLATTEN


NEW QUESTION # 95
What privileges are required to create a task?

Answer: C


NEW QUESTION # 96
......

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