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The SnowPro Core Certification Exam is a rigorous exam that requires thorough preparation and study. Snowflake provides a variety of resources to help individuals prepare for the exam, including online courses, practice exams, and study guides. By passing the SnowPro Core Certification Exam, data professionals can differentiate themselves from their peers, demonstrate their expertise in Snowflake, and open up new opportunities for career advancement.
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The SnowPro Core Certification Exam is a rigorous exam that tests an individual's knowledge of the Snowflake platform. COF-C02 Exam aims to evaluate an individual's proficiency in the Snowflake platform's core concepts, architecture, and administration. It is designed to help businesses identify individuals who have a deep understanding of the Snowflake platform and can help them manage their data more efficiently. Snowflake SnowPro Core Certification Exam Sample Questions (Q253-Q258):NEW QUESTION # 253
Which of the following are characteristics of security in Snowflake?
A. Periodic rekeying of encrypted data is available with the Snowflake Enterprise edition and higher
B. Support for HIPAA and GDPR compliance is available for UI Snowflake editions.
C. Private communication to internal stages is allowed in the Snowflake Enterprise edition and higher.
D. Account and user authentication is only available with the Snowflake Business Critical edition.
Answer: A
NEW QUESTION # 254
What can be used to process unstructured data?
A. The copy into <table> command
B. Snowpipe
C. External functions
D. External tables
Answer: C
Explanation:
To process unstructured data in Snowflake, external functions can be used.
* External Functions: These allow you to call external services and processing engines from within Snowflake SQL. External functions can be used to handle complex processing tasks that are not natively supported by Snowflake, including those involving unstructured data.
* Implementation: You define an external function in Snowflake that points to an external processing service (e.g., AWS Lambda, Google Cloud Functions).
:
Snowflake Documentation on External Functions
NEW QUESTION # 255
Which table function will identify data that was loaded using COPY INTO <table> statements and also identify data loaded using Snowpipe?
A. PIPE_USAGE_HISTORY
B. DATA_TRANSFER_HISTORY
C. COPY_HISTORY
D. VALIDATE_PIPE_LOAD
Answer: C
Explanation:
The COPY_HISTORY table function in Snowflake is used to track data loading activities, including both manual COPY INTO <table> commands and automated data loading through Snowpipe. This function provides visibility into load operations, making it valuable for monitoring data ingestion, ensuring data integrity, and troubleshooting loading processes.
NEW QUESTION # 256
At what levels can a resource monitor be configured? (Select TWO).
A. Database
B. Schema
C. Organization
D. Account
E. Virtual warehouse
Answer: D,E
Explanation:
Resource monitors in Snowflake can be configured at the account and virtual warehouse levels. They are used to track credit usage and control costs associated with running virtual warehouses. When certain thresholds are reached, resource monitors can trigger actions such as sending alerts or suspending warehouses to prevent excessive credit consumption. References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 257
Which chart type is supported in Snowsight for Snowflake users to visualize data with dashboards?
A. Area chart
B. Box plot
C. Heat grid
D. Pie chart
Answer: A
Explanation:
Snowsight, Snowflake's user interface for exploring, analyzing, and visualizing data, supports a variety of chart types for creating dashboards and visualizations. One of the supported chart types in Snowsight is the Area Chart (A). Area charts are useful for representing quantities over time and can be used to highlight volume change and rate of change, as well as to compare multiple quantities.
While Snowsight supports many types of visualizations to help users analyze their data effectively, including line charts, bar charts, and scatter plots, it's important to select the specific reference documentation or release notes for the most current list of supported chart types, as Snowflake continues to enhance and update Snowsight's capabilities.
As of the last update, Box plots (B), Heat grids (C), and Pie charts (D) are types of visualizations that may be supported in various analytics and visualization tools, but for the specific context of Snowsight's currently confirmed features, Area charts are a verified option for users to visualize their data.
Reference: Snowflake Documentation on Snowsight
(https://docs.snowflake.com/en/user-guide/ui-snowsight.html)