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Snowflake COF-C02 Exam Syllabus Topics:

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

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Snowflake SnowPro Core Certification Exam Sample Questions (Q782-Q787):

NEW QUESTION # 782
A table needs to be loaded. The input data is in JSON format and is a concatenation of multiple JSON documents. The file size is 3 GB. A warehouse size small is being used. The following COPY INTO command was executed:
COPY INTO SAMPLE FROM @~/SAMPLE.JSON (TYPE=JSON)
The load failed with this error:
Max LOB size (16777216) exceeded, actual size of parsed column is 17894470.
How can this issue be resolved?

Answer: C


NEW QUESTION # 783
What is the purpose of an External Function?

Answer: D


NEW QUESTION # 784
What is the most efficient method to share a subset of data from a table with a consumer account?

Answer: D

Explanation:
The correct answer is D. Create a secure view .
A secure view is the recommended and efficient way to share a filtered subset of data with a consumer account using Snowflake Secure Data Sharing. The provider can define the rows and columns that should be visible, then share the secure view instead of sharing the full base table.
Why D is correct:
A secure view protects the view definition from unauthorized users and can be used to expose only selected rows or columns from an underlying table.
Example concept:
CREATE SECURE VIEW shared_sales_west AS
SELECT order_id, customer_id, amount, region
FROM sales
WHERE region = ' WEST ' ;
The provider can then include this secure view in a share, allowing the consumer to query only the approved subset of data.
Why the other options are incorrect:
A). A secure UDF can protect function logic, but it is not the most efficient method for sharing a subset of table data.
B). A dynamic table materializes transformation results, but it is not the standard method for secure data sharing with filtered access.
C). An external table allows querying data in external cloud storage. It is not the best method for sharing a subset of Snowflake table data.
Official Snowflake documentation reference:
Snowflake documentation explains that secure views are used with Secure Data Sharing when a provider wants to share filtered or restricted data while protecting the underlying query definition.
Reference: Snowflake Documentation - Secure Data Sharing; Snowflake Documentation - Secure views; SnowPro Core Study Guide - Data Protection and Governance.


NEW QUESTION # 785
Which Snowflake object enables loading data from files as soon as they are available in a cloud storage location?

Answer: D

Explanation:
Snowpipe enables loading data from files as soon as they're available in a stage. This means you can load data from files in micro-batches, making it available to users within minutes, rather than manually executing COPY statements on a schedule to load larger batches.
https://docs.snowflake.com/en/user-guide/data-load-snowpipe-intro.html


NEW QUESTION # 786
Which activities are included in the Cloud Sen/ices layer? (Select TWO).

Answer: A,E

Explanation:
The Cloud Services layer in Snowflake includes activities such as user authentication and infrastructure management. This layer coordinates activities across Snowflake, including security enforcement, query compilation and optimization, and more


NEW QUESTION # 787
......

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