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Snowflake COF-C02 Exam Syllabus Topics:

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

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Snowflake SnowPro Core Certification Exam Sample Questions (Q481-Q486):

NEW QUESTION # 481
How should a Snowflake user access a third-party SaaS service to process unstructured data?

Answer: D


NEW QUESTION # 482
What does Snowflake recommend when planning virtual warehouse usage for a data load?

Answer: C

Explanation:
* Snowflake recommends dedicating a separate virtual warehouse for loading data to ensure the compute resources used for data ingestion do not impact query performance.
* Benefits:
* Isolates data load operations from query workloads.
* Allows better control over warehouse size and auto-suspend settings specific to loading operations.
References:
* Snowflake Documentation: Best Practices for Loading Data
* Snowflake Warehouse Scaling Guidance


NEW QUESTION # 483
Which data type can be used to store geospatial data in Snowflake?

Answer: C

Explanation:
https://docs.snowflake.com/en/sql-reference/data-types-geospatial.html#:~:text=have%20SRID%3D4326.-,Geospatial%20Object%20Types,Point


NEW QUESTION # 484
How can an administrator check for updates (for example, SCIM API requests) sent to Snowflake by the identity provider?

Answer: B

Explanation:
To monitor updates, such as SCIM API requests sent to Snowflake by the identity provider, an administrator can use the REST EVENT HISTORY feature. This feature allows administrators to query historical data about REST API calls made to Snowflake, including those related to user and role management through SCIM (System for Cross-domain Identity Management).
The REST EVENT HISTORY table function returns information about REST API calls made over a specified period. It is particularly useful for auditing and monitoring purposes, especially when integrating Snowflake with third-party identity providers that use SCIM for automated user provisioning and deprovisioning.
An example query to check for SCIM API requests might look like this:
SELECT * FROM
TABLE(information_schema.rest_event_history(date_range_start=>dateadd('hours',-1,current_timestamp()))) WHERE request_type = 'SCIM'; This query returns details on SCIM API requests made in the last hour, including the request type, the identity provider's details, and the outcome of each request.
Reference: Snowflake Documentation on REST EVENT HISTORY
(https://docs.snowflake.com/en/sql-reference/functions/rest_event_history.html)


NEW QUESTION # 485
Which Snowflake objects can be restored using Time Travel? (Select VNO).

Answer: B,C

Explanation:
Snowflake's Time Travel feature allows users to access historical data within a specific period. This feature supports the restoration of various objects, including databases and schemas, to their previous states. Time Travel can be used for recovering dropped objects, undoing accidental changes, or analyzing data changes over time. However, it does not support user or role objects like Users and Roles, or compute resources like Virtual Warehouses.
References: Snowflake Documentation on Time Travel


NEW QUESTION # 486
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