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Snowflake COF-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Loading & Transformation	20%	- 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
Topic 2: Data Protection & Data Sharing	10%	- Data recovery & retention 1. Time Travel, Fail-safe, cloning capabilities 2. Data retention policies and backup - Secure data sharing 1. Direct sharing, data exchanges, reader accounts 2. Sharing security and access control
Topic 3: Snowflake Architecture & Cloud Concepts	25%	- Account structure and hierarchy 1. Object ownership and naming conventions 2. Organization, account, database, schema levels - Cloud data platform fundamentals 1. Data storage structure and formats 2. Virtual warehouses and resource management 3. Service layers and separation of storage/compute
Topic 4: Data Pipelines & Automation	10%	- Integration & connectivity 1. External functions and API integration 2. Connectors and ETL/ELT patterns - Workflow & automation 1. Streams, tasks, and pipes 2. Change data capture and processing
Topic 5: Account Access & Security	20%	- Data protection & governance 1. Data masking and row-level security 2. Encryption at rest and in transit - Authentication & authorization 1. Users, roles, privileges and access control 2. Network policies and security settings
Topic 6: Performance Concepts & Optimization	15%	- Warehouse sizing & tuning 1. Scaling, clustering, and concurrency management 2. Query profiling and optimization techniques - Data optimization features 1. Clustering keys, search optimization, materialized views 2. Caching and result reuse

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Snowflake SnowPro Core Certification Exam Sample Questions (Q1055-Q1060):

NEW QUESTION # 1055
Which activities are included in the Cloud Services layer? {Select TWO).

A. Partition scanning
B. Dynamic data masking
C. User authentication
D. Infrastructure management
E. Data storage

Answer: C,D

NEW QUESTION # 1056
Which service is designed to process unstructured data and put it into tables?

A. Cortex Search
B. Document AI
C. Cortex Analyst
D. Snowflake Copilot

Answer: B

Explanation:
The correct answer is D. Document AI .
Document AI is a Snowflake Cortex feature designed to extract information from unstructured documents and make that information usable in structured form, such as rows and columns in Snowflake tables.
Why D is correct:
Document AI processes documents such as PDFs or forms and extracts values from them. The extracted data can then be stored in Snowflake tables for querying, analytics, and downstream processing.
Why the other options are incorrect:
A). Cortex Analyst enables natural language questions over structured data using semantic models. It is not the primary service for extracting data from documents into tables.
B). Cortex Search provides search over text and unstructured/semi-structured data, but it is not the main service for document extraction into tables.
C). Snowflake Copilot assists users with SQL and Snowflake workflows, but it is not the service specifically designed to process documents into table data.
Official Snowflake documentation reference:
Snowflake documentation describes Document AI as a Snowflake Cortex feature that uses AI to extract data from documents and process unstructured data for use in Snowflake.
Reference: Snowflake Documentation - Document AI; Snowflake Documentation - Snowflake Cortex; SnowPro Core Study Guide - Working with Semi-Structured Data and Snowflake Architecture.

NEW QUESTION # 1057
How is Single Sign-On (SSO) authentication used in Snowflake?

A. SSO is an integrated Snowflake feature powered by the Duo Security service which is managed completely by Snowflake.
B. SSO is an authentication method that uses a username and password in the API request header.
C. SSO is an authentication method which uses a pair of keys, a public key and a private key. to verify the identity of a user.
D. SSO is an authentication method that allows a user to sign into multiple applications with a single set of credentials.

Answer: D

NEW QUESTION # 1058
What are the main differences between the account usage views and the information schema views? (Select TWO).

A. Account usage views do not contain data about tables but information schema views do.
B. Information schema views are read-only but account usage views are not.
C. Account issue views contain dropped objects but information schema views do not.
D. No active warehouse to needed to query account usage views but one is needed to query information schema views.
E. Data retention for account usage views is 1 year but is 7 days to 6 months for information schema views, depending on the view.

Answer: C,E

NEW QUESTION # 1059
Which statements are correct concerning the leveraging of third-party data from the Snowflake Data Marketplace? (Choose two.)

A. Data is available without copying or moving.
B. Data is live, ready-to-query, and can be personalized.
C. Data is not available for copying or moving to an individual Snowflake account.
D. Data transformations are required when combining Data Marketplace datasets with existing data in Snowflake.
E. Data needs to be loaded into a cloud provider as a consumer account.

Answer: A,B

Explanation:
When leveraging third-party data from the Snowflake Data Marketplace, the data is live, ready-to-query, and can be personalized. Additionally, the data is available without the need for copying or moving it to an individual Snowflake account, allowing for seamless integration with existing data

NEW QUESTION # 1060
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