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Snowflake SnowPro-Core Exam Syllabus Topics:

Section	Weight	Objectives
Data Sharing and Marketplace	10%	- Snowflake Marketplace 1. Data exchange concepts - Secure data sharing 1. Shares and consumers
Account Access and Security	10%	- Data security features 1. Encryption 2. Network policies - Authentication and authorization 1. Roles and privileges 2. User management
Data Loading and Unloading	20%	- Data ingestion 1. COPY INTO command 2. Stages (internal/external) - Data export 1. UNLOAD operations
Data Transformation and Processing	20%	- Data pipelines 1. Streams and tasks 2. Data transformation workflows - SQL processing 1. SELECT queries 2. Joins and subqueries
Performance and Optimization	15%	- Virtual warehouse optimization 1. Scaling strategies - Query performance 1. Query profiling 2. Caching mechanisms
Snowflake Architecture and Data Cloud Concepts	25%	- Snowflake architecture overview 1. Cloud services layer 2. Compute layer (virtual warehouses) 3. Storage layer - Data Cloud fundamentals 1. Separation of storage and compute 2. Shared data architecture

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Snowflake SnowPro Core Certification Exam Sample Questions (Q512-Q517):

NEW QUESTION # 512
Which Snowflake feature records changes mace to a table so actions can be taken using that change data capture?

A. Stream
B. Pipe
C. Task
D. Materialized View

Answer: A

Explanation:
Snowflake's Streams feature is specifically designed for change data capture (CDC). A stream records insert, update, and delete operations performed on a table, and allows users to query these changes. This enables actions to be taken on the changed data, facilitating processes like incremental data loads and real-time analytics. Streams provide a powerful mechanism for applications to respond to data changes in Snowflake tables efficiently.References: Snowflake Documentation on Streams

NEW QUESTION # 513
Which statement MOST accurately describes clustering in Snowflake?

A. The database ACCOUNTADMIN must define the clustering methodology for each Snowflake table.
B. Clustering is the way data is grouped together and stored within Snowflake micro-partitions.
C. Clustering can be disabled within a Snowflake account.
D. The clustering key must be included in the COPY command when loading data into Snowflake.

Answer: B

Explanation:
Clustering in Snowflake refers to the organization of data within micro-partitions, which are contiguous units of storage within Snowflake tables. Clustering keys can be defined to co-locate similar rows in the same micro-partitions, improving scan efficiency and query performance12.
References: [COF-C02] SnowPro Core Certification Exam Study Guide

NEW QUESTION # 514
Which of the following are handled by the cloud services layer of the Snowflake architecture? (Choose two.)

A. Query execution
B. Authentication and access control
C. Security
D. Data loading
E. Time Travel data

Answer: C,D

NEW QUESTION # 515
True or False: Reader Accounts incur no additional Compute costs to the Data Provider since they are simply reading the shared data without making changes.

A. False
B. True

Answer: A

Explanation:
Explanation/Reference: https://interworks.com/blog/bdu/2020/02/05/zero-to-snowflake-secure-data-sharing/

NEW QUESTION # 516
Which Snowflake feature can be used to find sensitive data in a table or column?

A. Row level policies
B. Data classification
C. External functions
D. Masking policies

Answer: B

Explanation:
Data classification in Snowflake is a feature that allows organizations to identify and categorize data stored in tables or columns based on its sensitivity level or content type. This feature can be used to find sensitive data within the database by classifying data as confidential, personal, public, etc., making it easier to apply appropriate security measures, such as masking policies or row-level security, to protect sensitive information.
References:
* Snowflake Documentation: Data Classification

NEW QUESTION # 517
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