EXAM DUMPS SNOWFLAKE COF-C02 PDF | RELIABLE COF-C02 DUMPS PPT

Exam Dumps Snowflake COF-C02 Pdf | Reliable COF-C02 Dumps Ppt

Exam Dumps Snowflake COF-C02 Pdf | Reliable COF-C02 Dumps Ppt

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Snowflake COF-C02 Certification is a valuable certification for professionals working in the data warehousing and data analytics field. It validates the candidate's expertise in working with Snowflake's platform and provides them with the credentials they need to advance their career in this area. SnowPro Core Certification Exam certification is recognized by industry leaders and is a testament to the candidate's skills and knowledge in this field.

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Thus, you can see how a single decision can bring a lot of positive and fruitful changes in your life. However, if you are thinking about what if you were not able to get the Snowflake COF-C02 certification or pass the SnowPro Core Certification Exam (COF-C02) exam? Don't worry, you will find it easy to adjust to this new thing and get complete support from the DumpsReview who offer Snowflake COF-C02 Exam Questions and practice exams for the Snowflake COF-C02 certification exam.

To prepare for Snowflake COF-C02: SnowPro Core Certification Exam, individuals can take courses offered by Snowflake, such as Snowflake Essentials, Snowflake Administrator Training, and Snowflake Developer Training. They can also study the Snowflake documentation, which includes user guides, tutorials, and whitepapers. Additionally, individuals can take practice exams and participate in study groups to reinforce their knowledge and skills.

Snowflake SnowPro Core Certification Exam Sample Questions (Q418-Q423):

NEW QUESTION # 418
Which Snowflake virtual warehouse configuration enables horizontal scaling?

  • A. Increasing the MAX_CLUSTER_COUNT.
  • B. Increasing the WAREHOSE_SIZE.
  • C. Increasing the MIN_CLUSTER_C0UNT.
  • D. Increasing the MAX_CONCURRENCY_LEVEL.

Answer: A

Explanation:
* In Snowflake, horizontal scaling refers to adding more compute clusters to a virtual warehouse to handle higher query concurrency.
* MAX_CLUSTER_COUNT determines the maximum number of clusters that can run simultaneously for a multi-cluster warehouse.
* Increasing this value allows Snowflake to dynamically scale the number of clusters based on query demand.
Why Other Options Are Incorrect:
* A. WAREHOUSE_SIZE: Increasing warehouse size changes the compute capacity of a single cluster (vertical scaling), not horizontal scaling.
* C. MAX_CONCURRENCY_LEVEL: This controls query queuing and is unrelated to scaling the number of clusters.
* D. MIN_CLUSTER_COUNT: This sets the minimum number of clusters but does not affect maximum horizontal scaling.
References:
* Multi-Cluster Warehouses
* Virtual Warehouse Scaling


NEW QUESTION # 419
What metadata does Snowflake store concerning all rows stored in a micro-partition? (Select TWO)

  • A. The range of values for each of the columns in the micro-partition
  • B. The number of distinct values for each column in the micro-partition
  • C. The range of values for each of the rows in the micro-partition
  • D. A count of the number of total values in the micro-partition
  • E. The range of values for each partition in the micro-partition

Answer: A,E

Explanation:
* Snowflake micro-partitions store metadata to optimize query performance.
* Key metadata includes:
* Range of values for each column (D): This allows Snowflake to prune micro-partitions during query execution.
* Range of values for each partition (B): Micro-partitions maintain range details to enhance performance when filtering rows.
Why Other Options Are Incorrect:
* A. Count of total values: This is not explicitly stored as metadata.
* C. Range of values for each row: Metadata applies to columns, not rows.
* E. Number of distinct values for each column: Snowflake does not store distinct counts as part of micro-partition metadata.
References:
* Micro-Partitioning Metadata


NEW QUESTION # 420
Given the statement template below, which database objects can be added to a share?(Select TWO).
GRANT <privilege> ON <object> <object_name> To SHARE <share_name>;

  • A. Secure functions
  • B. Stored procedures
  • C. Streams
  • D. Tasks
  • E. Tables

Answer: C,E

Explanation:
In Snowflake, shares are used to share data across different Snowflake accounts securely. When you create a share, you can include various database objects that you want to share with consumers. According to Snowflake's documentation, the types of objects that can be shared include tables, secure views, secure materialized views, and streams. Secure functions and stored procedures are not shareable objects. Tasks also cannot be shared directly. Therefore, the correct answers are streams (C) and tables (D).
To share a stream or a table, you use the GRANT statement to grant privileges on these objects to a share. The syntax for sharing a table or stream involves specifying the type of object, the object name, and the share to which you are granting access. For example:
GRANT SELECT ON TABLE my_table TO SHARE my_share; GRANT SELECT ON STREAM my_stream TO SHARE my_share; These commands grant the SELECT privilege on a table named my_table and a stream named my_stream to a share named my_share. This enables the consumer of the share to access these objects according to the granted privileges.
Reference: Snowflake Documentation on Shares and Database Objects (https://docs.snowflake.com)


NEW QUESTION # 421
What action should be taken if a Snowflake user wants to share a newly created object in a database with consumers?

  • A. Use the grant privilege ... TO share command to grant the necessary privileges.
  • B. Use the automatic sharing feature for seamless access.
  • C. Drop the object and then re-add it to the database to trigger sharing.
  • D. Recreate the object with a different name in the database before sharing.

Answer: A

Explanation:
When a Snowflake user wants to share a newly created object in a database with consumers, the correct action to take is to use the GRANT privilege ... TO SHARE command to grant the necessary privileges for the object to be shared. This approach allows the object owner or a user with the appropriate privileges to share database objects such as tables, secure views, and streams with other Snowflake accounts by granting access to a named share.
The GRANT statement specifies which privileges are granted on the object to the share. The object remains in its original location; sharing does not duplicate or move the object. Instead, it allows the specified share to access the object according to the granted privileges.
For example, to share a table, the command would be:
GRANT SELECT ON TABLE new_table TO SHARE consumer_share;
This command grants the SELECT privilege on a table named new_table to a share named consumer_share, enabling the consumers of the share to query the table.
Automatic sharing, dropping and re-adding the object, or recreating the object with a different name are not required or recommended practices for sharing objects in Snowflake. The use of the GRANT statement to a share is the direct and intended method for this purpose.


NEW QUESTION # 422
How can the access_history view in the account_usage schema be used to review the data governance settings for an account? (Select TWO).

  • A. Identify objects that were modified by a query.
  • B. Identify queries run by a particular user.
  • C. Identify SQL statements that failed to run.
  • D. Identify object dependencies.
  • E. Identify access to the roles given to a user.

Answer: A,B

Explanation:
* The ACCESS_HISTORY view in the ACCOUNT_USAGE schema provides details about data and user activity within Snowflake.
* Key uses for reviewing governance settings:
* A. Identify queries run by a particular user: Tracks the SQL statements executed by a user.
* D. Identify objects that were modified by a query: Displays the objects affected (e.g., tables or views) by each query.
References:
* Snowflake Documentation: ACCESS_HISTORY View
* Governance with Account Usage Views


NEW QUESTION # 423
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