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[General] COF-C02 Actual Exam - Reliable COF-C02 Test Blueprint

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【General】 COF-C02 Actual Exam - Reliable COF-C02 Test Blueprint

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Passing the Snowflake COF-C02 (SnowPro Core Certification) Exam is a crucial step in establishing oneself as a Snowflake expert. SnowPro Core Certification Exam certification showcases an individual's expertise in Snowflake's core concepts and functionalities, making them more marketable in the IT industry. Additionally, successful completion of this certification exam provides access to the Snowflake Partner Network, which enables individuals to connect with other Snowflake experts and share knowledge and ideas, further expanding their professional network.
Snowflake COF-C02 exam is a valuable certification for data professionals who work with Snowflake. COF-C02 exam covers a wide range of topics, and passing it requires a deep understanding of Snowflake's architecture, features, and best practices. SnowPro Core Certification Exam certification can help data professionals enhance their career prospects, and it is an excellent way to demonstrate their expertise to clients and employers.
Snowflake COF-C02 Exam consists of 65 multiple-choice questions that focus on various topics such as Snowflake architecture, data loading and unloading, security, and data sharing. COF-C02 exam also covers topics such as data modeling, virtual warehouses, performance tuning, and troubleshooting, among others. COF-C02 exam is designed to test both your theoretical knowledge of Snowflake and your practical experience using the platform.
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Snowflake SnowPro Core Certification Exam Sample Questions (Q666-Q671):NEW QUESTION # 666
Which statement will trigger a stream to advance its offset?
  • A. CREATE OR REPLACE STREAM
  • B. DESCRIBE STREAM
  • C. ALTER STREAM
  • D. DROP STREAM
Answer: A
Explanation:
* A stream in Snowflake tracks changes (e.g., inserts, updates, and deletes) to a table. Its offset advances only when the stream is consumed or re-created.
* CREATE OR REPLACE STREAM triggers the stream to reset its offset, effectively advancing it by overwriting the existing stream definition.
* Other operations like querying the stream (SELECT) or applying changes (INSERT) would also advance offsets, but only CREATE OR REPLACE affects the offset in this context.
Why Other Options Are Incorrect:
* A. DESCRIBE STREAM: Does not affect the stream offset; it only retrieves metadata.
* B. ALTER STREAM: Modifies the stream properties but does not advance the offset.
* C. DROP STREAM: Deletes the stream but does not advance its offset.
References:
* Snowflake Streams Documentation

NEW QUESTION # 667
In which hierarchy is tag inheritance possible?
  • A. Organization » Account» Role
  • B. Account » User » Schema
  • C. Database » View » Column
  • D. Schema » Table » Column
Answer: D
Explanation:
In Snowflake, tag inheritance is a feature that allows tags, which are key-value pairs assigned to objects for the purpose of data governance and metadata management, to be inherited within a hierarchy. The hierarchy in which tag inheritance is possible is from Schema to Table to Column. This means that a tag applied to a schema can be inherited by the tables within that schema, and a tag applied to a table can be inherited by the columns within that table.
References: Snowflake Documentation on Tagging and Object Hierarchy

NEW QUESTION # 668
True or False: When a user creates a role, they are initially assigned ownership of the role and they maintain ownership until it is transferred to another user.
  • A. True
  • B. False
Answer: A

NEW QUESTION # 669
A user needs to know this information about an object:
1. Who accessed the data?
2. When was the data accessed?
3. What columns were accessed?
Which account usage schema view should be used?
  • A. OBJECT DEPENDENCIES
  • B. ACCESS_HISTORY
  • C. EVENT_USAGE_HISTORY
  • D. QUERYHISTORY
Answer: B
Explanation:
* The ACCESS_HISTORY view in Snowflake provides information about:
* Who accessed the data.
* When the data was accessed.
* What columns were accessed.
* This view is part of Snowflake's Account Usage Schema and is designed for detailed auditing of data access.
Why Other Options Are Incorrect:
* A. QUERY_HISTORY: Tracks query execution details but does not provide column-level access information.
* C. EVENT_USAGE_HISTORY: Tracks usage of Snowflake events but not data access.
* D. OBJECT_DEPENDENCIES: Tracks object dependencies, unrelated to data access details.
References:
* ACCESS_HISTORY View Documentation

NEW QUESTION # 670
If a multi-cluster virtual warehouse is running in Auto-scale mode, how are workloads with unpredictable usage patterns handled?
  • A. Snowflake automatically resizes the warehouse based on usage requirements.
  • B. Snowflake automatically starts and stops additional clusters as needed.
  • C. Snowflake notifies users when to adjust the number of clusters to improve workload performance.
  • D. Snowflake automatically starts additional clusters when the primary cluster reaches 50% capacity.
Answer: B
Explanation:
In Auto-scale mode, a multi-cluster virtual warehouse can automatically scale out by starting additional clusters as needed to handle concurrent queries. This is ideal for unpredictable or bursty workloads.
* Clusters spin up based on queue length and system load.
* They automatically shut down when not in use.
Reference:
Snowflake Docs: Multi-Cluster Warehouses

NEW QUESTION # 671
......
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