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The Snowflake ADA-C01 Certification Exam is one of the valuable credentials that are designed to prove an Snowflake aspirant's technical expertise. With the SnowPro Advanced Administrator (ADA-C01) certificate they can be competitive and updated in the highly competitive market. The Snowflake Certification Questions offers a great opportunity for beginners and experienced professionals to not only validate their skills but also advance their careers.

Snowflake ADA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Implement and manage data governance in Snowflake Data Sharing, Data Exchange, and Snowflake Marketplace
Topic 2	Given a scenario, configure access controls Set up and manage security administration and authorization
Topic 3	Manage and implement data sharing Given a set of business requirements, establish access control architecture
Topic 4	Given a scenario, manage databases, tables, and views Manage organizations and access control
Topic 5	Interpret and make recommendations for data clustering Manage DML locking and concurrency in Snowflake

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Snowflake SnowPro Advanced Administrator Sample Questions (Q25-Q30):

NEW QUESTION # 25
What role or roles should be used to properly create the object required to setup OAuth 2.0 integration?

A. ACCOUNTADMIN and SECURITYADMIN
B. ACCOUNTADMIN only
C. ACCOUNTADMIN and SYSADMIN
D. Any role with GRANT USAGE on SECURITY INTEGRATION

Answer: B

Explanation:
Explanation
According to the Using OAuth 2.0 with Snowflake - Blog, only the ACCOUNTADMIN role can create and manage integrations, so an administrator must assume that role when creating a security integration for OAuth.
The other roles do not have the necessary privileges to create the object required to setup OAuth 2.0 integration.

NEW QUESTION # 26
What are characteristics of data replication in Snowflake? (Select THREE).

A. Replication can only occur within the same cloud provider.
B. Users can have unlimited primary databases and they can be replicated to an unlimited number of accounts if all accounts are within the same organization.
C. The ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command must be issued from the primary account.
D. Users must be granted REPLICATIONADMIN privileges in order to enable replication.
E. Databases created from shares can be replicated.
F. To start replication run the ALTER DATABASE ... REFRESH command on the account where the secondary database resides.

Answer: B,C,E

Explanation:
Explanation
*Option A is correct because the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command must be issued from the primary account that owns the database to be replicated1.
*Option B is incorrect because users must be granted REPLICATIONGRANTER privileges in order to enable replication1.
*Option C is incorrect because to start replication, the ALTER DATABASE ... REFRESH command must be run on the primary database, not the secondary database1.
*Option D is incorrect because replication can occur across different cloud providers, as well as across regions2.
*Option E is correct because databases created from shares can be replicated, as long as the share is active and the database is not dropped or altered1.
*Option F is correct because users can have unlimited primary databases and they can be replicated to an unlimited number of accounts if all accounts are within the same organization1.

NEW QUESTION # 27
What are characteristics of Dynamic Data Masking? (Select TWO).

A. A single masking policy can be applied to columns with different data types.
B. The role that creates the masking policy will always see unmasked data in query results.
C. A masking policy that is currently set on a table can be dropped.
D. A single masking policy can be applied to columns in different tables.
E. A masking policy can be applied to the VALUE column of an external table.

Answer: A,D

Explanation:
Explanation
According to the Using Dynamic Data Masking documentation, Dynamic Data Masking is a feature that allows you to alter sections of data in table and view columns at query time using a predefined masking strategy. The following are some of the characteristics of Dynamic Data Masking:
*A single masking policy can be applied to columns in different tables. This means that you can write a policy once and have it apply to thousands of columns across databases and schemas.
*A single masking policy can be applied to columns with different data types. This means that you can use the same masking strategy for columns that store different kinds of data, such as strings, numbers, dates, etc.
*A masking policy that is currently set on a table can be dropped. This means that you can remove the masking policy from the table and restore the original data visibility.
*A masking policy can be applied to the VALUE column of an external table. This means that you can mask data that is stored in an external stage and queried through an external table.
*The role that creates the masking policy will always see unmasked data in query results. This is not true, as the masking policy can also apply to the creator role depending on the execution context conditions defined in the policy. For example, if the policy specifies that only users with a certain custom entitlement can see the unmasked data, then the creator role will also need to have that entitlement to see the unmasked data.

NEW QUESTION # 28
A company has many users in the role ANALYST who routinely query Snowflake through a reporting tool.
The Administrator has noticed that the ANALYST users keep two
small clusters busy all of the time, and occasionally they need three or four clusters of that size.
Based on this scenario, how should the Administrator set up a virtual warehouse to MOST efficiently support this group of users?

A. Create a standard X-Large warehouse, which is equivalent to four small clusters. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role.
B. Create a multi-cluster warehouse with MIN_CLUSTERS set to 1. Give MANAGE privileges to the ANALYST role so this group can start and stop the warehouse, and increase the number of clusters as needed.
C. Create four virtual warehouses (sized Small through XL) and set them to auto-suspend and auto-resume.Have users in the ANALYST role select the appropriate warehouse based on how many queries are being run.
D. Create a multi-cluster warehouse with MIN_CLUSTERS set to 2. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role. Allow the warehouse to auto-scale.

Answer: D

Explanation:
Explanation
According to the Snowflake documentation1, a multi-cluster warehouse is a virtual warehouse that consists of multiple clusters of compute resources that can scale up or down automatically to handle the concurrency and performance needs of the queries submitted to the warehouse. A multi-cluster warehouse has a minimum and maximum number of clusters that can be specified by the administrator. Option B is the most efficient way to support the group of users, as it allows the administrator to create a multi-cluster warehouse with MIN_CLUSTERS set to 2, which means that the warehouse will always have two clusters running to handle the standard workload. The warehouse can also auto-scale up to the maximum number of clusters (which can be set according to the peak workload) when there is a spike in demand, and then scale down when the demand decreases. The warehouse can also auto-resume and auto-suspend, which means that the warehouse will automatically start when a query is submitted and automatically stop after a period of inactivity. The administrator can also give USAGE privileges to the ANALYST role, which means that the users can use the warehouse to execute queries and load data, but not modify or operate the warehouse. Option A is not efficient, as it requires the users to manually start and stop the warehouse, and increase the number of clusters as needed, which can be time-consuming and error-prone. Option C is not efficient, as it creates a standard X-Large warehouse, which is equivalent to four small clusters, which may be more than needed for the standard workload, and may not be enough for the peak workload. Option D is not efficient, as it creates four virtual warehouses of different sizes, which can be confusing and cumbersome for the users to select the appropriate warehouse based on how many queries are being run, and may also result in wasted resources and costs.

NEW QUESTION # 29
When a role is dropped, which role inherits ownership of objects owned by the dropped role?

A. The SECURITYADMIN role
B. The role executing the command
C. The role above the dropped role in the RBAC hierarchy
D. The SYSADMIN role

Answer: C

Explanation:
According to the Snowflake documentation1, when a role is dropped, ownership of all objects owned by the dropped role is transferred to the role that is directly above the dropped role in the role hierarchy. This is to ensure that there is always a single owner for each object in the system.
1: Drop Role | Snowflake Documentation

NEW QUESTION # 30
......

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ADA-C01 LATEST EXAM PASS4SURE | ADA-C01 EXAM QUIZZES

ADA-C01 Latest Exam Pass4sure | ADA-C01 Exam Quizzes