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Snowflake COF-C02 Exam Syllabus Topics:

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

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Snowflake SnowPro Core Certification Exam Sample Questions (Q300-Q305):

NEW QUESTION # 300
A user unloaded a Snowflake table called mytable to an internal stage called mystage.
Which command can be used to view the list of files that has been uploaded to the staged?

Answer: B

Explanation:
The command list @mystage; is used to view the list of files that have been uploaded to an internal stage in Snowflake. The list command displays the metadata for all files in the specified stage, which in this case is mystage. This command is particularly useful for verifying that files have been successfully unloaded from a Snowflake table to the stage and for managing the files within the stage.
References:
* Snowflake Documentation on Stages
* SnowPro Core Certification Study Guide


NEW QUESTION # 301
A user is loading JSON documents composed of a huge array containing multiple records into Snowflake. The user enables the strip__outer_array file format option What does the STRIP_OUTER_ARRAY file format do?

Answer: B

Explanation:
Explanation
Data Size Limitations
The VARIANT data type imposes a 16 MB size limit on individual rows.
For some semi-structured data formats (e.g. JSON), data sets are frequently a simple concatenation of multiple documents. The JSON output from some software is composed of a single huge array containing multiple records. There is no need to separate the documents with line breaks or commas, though both are supported.
If the data exceeds 16 MB, enable the STRIP_OUTER_ARRAY file format option for the COPY INTO
<table> command to remove the outer array structure and load the records into separate table rows:
copy into <table>
from @~/<file>.json
file_format = (type = 'JSON' strip_outer_array = true);
https://docs.snowflake.com/en/user-guide/semistructured-considerations.html


NEW QUESTION # 302
What are the default Time Travel and Fail-safe retention periods for transient tables?

Answer: B

Explanation:
Explanation
https://docs.snowflake.com/en/user-guide/data-cdp-storage-costs.html#:~:text=Temporary%20and%20Transient


NEW QUESTION # 303
What tasks can an account administrator perform in the Data Exchange? (Select TWO).

Answer: B,E

Explanation:
An account administrator in the Data Exchange can perform tasks such as adding and removing members and approving or denying listing approval requests. These tasks are part of managing the Data Exchange and ensuring that only authorized listings and members are part of it12.


NEW QUESTION # 304
A materialized view should be created when which of the following occurs? (Choose two.)

Answer: A,B

Explanation:
A materialized view is beneficial when the query consumes many compute resources every time it runs (B), and when the results of the query do not change often and are used frequently (E). This is because materialized views store pre-computed data, which can speed up query performance for workloads that are run frequently or are complex


NEW QUESTION # 305
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