Free PDF Quiz 2025 Valid Snowflake ADA-C01 Test Questions Fee

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Snowflake ADA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Interpret and make recommendations for data clustering Manage DML locking and concurrency in Snowflake
Topic 2	Given a scenario, configure access controls Set up and manage security administration and authorization
Topic 3	Implement and manage data governance in Snowflake Data Sharing, Data Exchange, and Snowflake Marketplace
Topic 4	Given a scenario, manage databases, tables, and views Manage organizations and access control
Topic 5	Given a scenario, create and manage access control Given a scenario, implement resource monitors
Topic 6	Manage and implement data sharing Given a set of business requirements, establish access control architecture
Topic 7	Snowflake Security, Role-Based Access Control (RBAC), and User Administration Disaster Recovery, Backup, and Data Replication

Snowflake SnowPro Advanced Administrator Sample Questions (Q41-Q46):

NEW QUESTION # 41
Which masking policy will mask a column whenever it is queried through a view owned by a role named MASKED_VIEW_ROLE?

A. create or replace masking policy maskstring as (val string) returns string -> case when invoker_role() in ('MASKED_VIEW_ROLE') then else val end;
' **
B. create or replace masking policy maskString as (val string) returns string -> case when array_contains ('MASKED_VIEW_ROLE' :: variant, parse_json (current_available_roles ())) then
'*
else val
end;
** '
C. create or replace masking policy maskString as (val string) returns string -> case when current_role() in ('MASKED_VIEW_ROLE') then ' ********* ' else val end;
D. create or replace masking policy maskstring as (val string) returns string -> case when is_role_in_session ('MASKED_VIEW_ROLE') then ' ** else val end;
*,

Answer: D

Explanation:
Explanation
A masking policy is a SQL expression that transforms the data in a column based on the role that queries the column1. The is_role_in_session function returns true if the specified role is in the current session2. Therefore, the masking policy in option A will mask the column data with asterisks whenever it is queried through a view owned by the MASKED_VIEW_ROLE3. The other options use different functions that do not check the ownership of the view, but rather the current role, the invoker role, or the available roles in the session45.
These functions may not return the desired result if the role that owns the view is different from the role that queries the view.

NEW QUESTION # 42
When does auto-suspend occur for a multi-cluster virtual warehouse?

A. After a specified period of time when an additional cluster has started on the maximum number of clusters specified for a warehouse.
B. When the minimum number of clusters is running and there is no activity for the specified period of time.
C. When there has been no activity on any cluster for the specified period of time.
D. Auto-suspend does not apply for multi-cluster warehouses.

Answer: B

Explanation:
Explanation
According to the Multi-cluster Warehouses documentation, auto-suspend is a feature that allows a warehouse to automatically suspend itself after a specified period of inactivity. For a multi-cluster warehouse, auto-suspend applies to the entire warehouse, not to individual clusters. Therefore, auto-suspend occurs when the minimum number of clusters is running and there is no activity for the specified period of time. The other options are incorrect because:
*A. Auto-suspend does not occur when there has been no activity on any cluster for the specified period of time. This would imply that each cluster has its own auto-suspend timer, which is not the case. The warehouse has a single auto-suspend timer that is reset by any activity on any cluster.
*B. Auto-suspend does not occur after a specified period of time when an additional cluster has started on the maximum number of clusters specified for a warehouse. This would imply that the auto-suspend timer is affected by the number of clusters running, which is not the case. The auto-suspend timer is only affected by the activity on the warehouse, regardless of the number of clusters running.
*D. Auto-suspend does apply for multi-cluster warehouses, as explained above. It is a feature that can be enabled or disabled for any warehouse, regardless of the number of clusters.

NEW QUESTION # 43
What roles can be used to create network policies within Snowflake accounts? (Select THREE).

A. Any role that owns the database where the network policy is created
B. SYSADMIN
C. ORGADMIN
D. Any role with the global permission of CREATE NETWORK POLICY
E. ACCOUNTADMIN
F. SECURITYADMIN

Answer: D,E,F

NEW QUESTION # 44
DatabaseA has a single schema called Schema1. This schema contains many tables and views. The ANALYST role has privileges to select from all objects in Database A. Schema1.
The SYSADMIN role clones DatabaseA to DatabaseA_clone.
What privileges does the ANALYST role have on tables and views in DatabaseA_clone? (Select TWO).

A. SELECT on all tables, and only non-secure views in DatabaseA_clone. Schemal
B. USAGE on the schema DatabaseA clone
C. USAGE on the database DatabaseA_clone. Schemal
D. SELECT on all tables and views in DatabaseA_clone. Schema1
E. SELECT on all tables, and only secure views in DatabaseA_clone. Schemal

Answer: A,D

Explanation:
According to the Snowflake documentation, when a database or schema is cloned, the clone inherits all granted privileges on the clones of all child objects contained in the source object, such as tables and views. However, the clone of the container itself does not inherit the privileges granted on the source container. Therefore, the ANALYST role will have SELECT privilege on all tables and views in DatabaseA_clone.Schema1, but not USAGE privilege on the database or schema. The type of view (secure or non-secure) does not affect the cloning of privileges.

NEW QUESTION # 45
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Select TWO).

A. Unpublishing the data listing
B. Dropping a column from a table
C. Deleting data from a table
D. Adding region availability to the listing
E. Renaming a table

Answer: B,E

Explanation:
According to the Snowflake documentation1, breaking changes are changes that affect the schema or structure of the shared data, such as dropping or renaming a column or a table. These changes may cause errors or unexpected results for the consumers who query the shared data. Deleting data from a table, unpublishing the data listing, or adding region availability to the listing are not breaking changes, as they do not alter the schema or structure of the shared data.
1: Managing Data Listings in Snowflake Data Marketplace | Snowflake Documentation

NEW QUESTION # 46
......

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FREE PDF QUIZ 2025 VALID SNOWFLAKE ADA-C01 TEST QUESTIONS FEE

Free PDF Quiz 2025 Valid Snowflake ADA-C01 Test Questions Fee