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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: 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
Topic 3: Data Protection & Data Sharing	10%	- Secure data sharing 1. Sharing security and access control 2. Direct sharing, data exchanges, reader accounts - Data recovery & retention 1. Data retention policies and backup 2. Time Travel, Fail-safe, cloning capabilities
Topic 4: 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 5: Snowflake Architecture & Cloud Concepts	25%	- Account structure and hierarchy 1. Organization, account, database, schema levels 2. Object ownership and naming conventions - Cloud data platform fundamentals 1. Data storage structure and formats 2. Service layers and separation of storage/compute 3. Virtual warehouses and resource management
Topic 6: Data Pipelines & Automation	10%	- Workflow & automation 1. Streams, tasks, and pipes 2. Change data capture and processing - Integration & connectivity 1. Connectors and ETL/ELT patterns 2. External functions and API integration

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Snowflake SnowPro Core Certification Exam 認定 COF-C02 試験問題 (Q723-Q728):

質問 # 723
True or False: When you create a custom role, it is a best practice to immediately grant that role to ACCOUNTADMIN.

A. False
B. True

正解：A

質問 # 724
The Snowflake Search Optimization Services supports improved performance of which kind of query?

A. Queries against tables larger than 1 TB
B. Selective point lookup queries
C. Queries against large tables where frequent DML occurs
D. Queries against a subset of columns in a table

正解：B

解説：
Reference:
https://docs.snowflake.com/en/user-guide/search-optimization-service.html#:~:text=The%20search%20optimiza
%20point,OBJECT%2C%20and%20ARRAY%20columns)

質問 # 725
Which statement accurately describes how a virtual warehouse functions?

A. All virtual warehouses share the same compute resources so performance degradation of one warehouse can significantly affect all the other warehouses.
B. Increasing the size of a virtual warehouse will always improve data loading performance.
C. Each virtual warehouse is a compute cluster composed of multiple compute nodes allocated by Snowflake from a cloud provider.
D. Each virtual warehouse is an independent compute cluster that shares compute resources with other warehouses.

正解：C

解説：
A virtual warehouse in Snowflake is an independent compute cluster that performs data processing tasks such as executing SQL queries. Each virtual warehouse is dynamically allocated by Snowflake from the cloud provider's resources and does not share compute resources with other warehouses. This architecture ensures that the performance of one warehouse does not impact the performance of another. Adjusting the size of a virtual warehouse affects its computational power by increasing or decreasing the number of compute nodes, which can improve the performance of data processing tasks depending on the workload.
Reference:
Snowflake Documentation: Understanding Virtual Warehouses

質問 # 726
How can a Snowflake user optimize query performance in Snowflake? (Select TWO).

A. Create a view.
B. Cluster a table.
C. Enable Time Travel.
D. Index a table.
E. Enable the search optimization service.

正解：B、E

質問 # 727
If 3 size Small virtual warehouse is made up of two servers, how many servers make up a Large warehouse?

A. 0
B. 1
C. 2
D. 3

正解：A

解説：
In Snowflake, each size increase in virtual warehouses doubles the number of servers. Therefore, if a size Small virtual warehouse is made up of two servers, a Large warehouse, which is two sizes larger, would be made up of eight servers (2 servers for Small, 4 for Medium, and 8 for Large)2.
Size specifies the amount of compute resources available per cluster in a warehouse. Snowflake supports the following warehouse sizes:

https://docs.snowflake.com/en/user-guide/warehouses-overview.html

質問 # 728
......

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