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The SnowPro Core Certification Exam is an essential certification for anyone looking to work with the Snowflake platform. It is a comprehensive exam that tests an individual's knowledge of the platform's core concepts, architecture, and administration. By passing the exam, individuals can demonstrate their proficiency in the Snowflake platform and increase their chances of landing a job in the data warehousing and analytics industry.
Snowflake COF-C02 (SnowPro Core Certification) Exam is a certification program offered by Snowflake Computing, a cloud-based data warehousing and analytics company. COF-C02 Exam is designed for professionals who want to establish their expertise in Snowflake technology and demonstrate their ability to design, configure, and manage Snowflake solutions. SnowPro Core Certification Exam certification exam covers a range of topics, including data warehousing, data modeling, Snowflake architecture, and data pipelines.
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Snowflake COF-C02 (SnowPro Core Certification) Exam is a certification exam designed to assess the knowledge and skills of Snowflake users in the core concepts of Snowflake. COF-C02 exam is intended for data professionals who work with Snowflake and want to demonstrate their expertise in the platform. The SnowPro Core Certification Exam covers a range of topics, including Snowflake architecture, data loading and unloading, data modeling, security, and performance optimization. COF-C02 Exam is a comprehensive assessment of a candidate's understanding of Snowflake, and passing it demonstrates that the candidate has the skills and knowledge to work effectively with the platform.
NEW QUESTION # 973
Snowflake's access control framework combines which models for securing data? (Select TWO).
Answer: C,E
Explanation:
Snowflake's access control framework utilizes a combination of Discretionary Access Control (DAC) and Role-based Access Control (RBAC). DAC in Snowflake allows the object owner to grant access privileges to other roles. RBAC involves assigning roles to users and then granting privileges to those roles. Through roles, Snowflake manages which users have access to specific objects and what actions they can perform, which is central to security and governance in the Snowflake environment.
References: Snowflake Documentation on Access Control,
NEW QUESTION # 974
In which use cases does Snowflake apply egress charges?
Answer: C
Explanation:
Snowflake applies egress charges in the case of database replication when data is transferred out of a Snowflake region to another region or cloud provider. This is because the data transfer incurs costs associated with moving data across different networks. Egress charges are not applied for data sharing within the same region, query result retrieval, or loading data into Snowflake, as these actions do not involve data transfer across regions.
References:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Snowflake Documentation on Data Replication and Egress Charges1
NEW QUESTION # 975
What type of query benefits the MOST from search optimization?
Answer: D
Explanation:
Search optimization in Snowflake is designed to improve the performance of queries that are selective and involve point lookup operations using equality and IN predicates. It is particularly beneficial for queries that access columns with a high number of distinct values1.
References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation
NEW QUESTION # 976
Which Snowflake object type can be used to restrict users from viewing the DDL associated with an object?
Answer: C
NEW QUESTION # 977
Why would a Snowflake user decide to use a materialized view instead of a regular view?
Answer: D
Explanation:
A Snowflake user would decide to use a materialized view instead of a regular view primarily when the base tables do not change frequently. Materialized views store the result of the view query and update it as the underlying data changes, making them ideal for situations where the data is relatively static and query performance is critical. By precomputing and storing the query results, materialized views can significantly reduce query execution times for complex aggregations, joins, and calculations.
References:
* Snowflake Documentation: Materialized Views
NEW QUESTION # 978
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