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Free ADA-C01 Exam Questions - Valid ADA-C01 Exam Fee

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Snowflake ADA-C01 Exam Syllabus Topics:

Topic
Details

Topic 1

Snowflake Security, Role-Based Access Control (RBAC), and User Administration
Disaster Recovery, Backup, and Data Replication

Topic 2

Implement and manage data governance in Snowflake
Data Sharing, Data Exchange, and Snowflake Marketplace

Topic 3

Given a scenario, create and manage access control
Given a scenario, implement resource monitors

Topic 4

Manage and implement data sharing
Given a set of business requirements, establish access control architecture

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High-quality Free ADA-C01 Exam Questions bring you Correct Valid ADA-C01 Exam Fee for Snowflake SnowPro Advanced Administrator

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Snowflake SnowPro Advanced Administrator Sample Questions (Q58-Q63):

NEW QUESTION # 58
If the query matches the definition, will Snowflake always dynamically rewrite the query to use a materialized view?

A. No, because the materialized view may not be up-to-date.
B. Yes, because materialized views are always faster.
C. No, because the optimizer might decide against it.
D. No, because joins are not supported by materialized views.

Answer: C

Explanation:
Explanation
Snowflake's query optimizer can automatically rewrite queries against the base table or regular views to use the materialized view instead, if the query matches the definition of the materialized view1. However, this is not always guaranteed, as the optimizer might decide against using the materialized view based on various factors, such as the freshness of the data, the size of the result set, the complexity of the query, and the availability of the materialized view2. Therefore, the answer is no, because the optimizer might decide against it.

NEW QUESTION # 59
The following SQL command was executed:
Use role SECURITYADMIN;
Grant ownership
On future tables
In schema PROD. WORKING
To role PROD_WORKING_OWNER;
Grant role PROD_WORKING_OWNER to role SYSADMIN;
Use role ACCOUNTADMIN;
Create table PROD.WORKING.XYZ (value number) ;
Which role(s) can alter or drop table XYZ?

A. Only the PROD_WORKING_OWNER role can alter or drop table XYZ.
B. Because ACCOUNTADMIN created the table, only the ACCOUNTADMIN role can alter or drop table XYZ.
C. SECURITYADMIN, SYSADMIN, and ACCOUNTADMIN can alter or drop table XYZ.
D. PROD_WORKING_OWNER, ACCOUNTADMIN, and SYSADMIN can alter or drop table XYZ.

Answer: D

Explanation:
Explanation
According to the GRANT OWNERSHIP documentation, the ownership privilege grants full control over the table and can only be held by one role at a time. However, the current owner can also grant the ownership privilege to another role, which transfers the ownership to the new role. In this case, the SECURITYADMIN role granted the ownership privilege on future tables in the PROD.WORKING schema to the PROD_WORKING_OWNER role. This means that any table created in that schema after the grant statement will be owned by the PROD_WORKING_OWNER role. Therefore, the PROD_WORKING_OWNER role can alter or drop table XYZ, which was created by the ACCOUNTADMIN role in the PROD.WORKING schema. Additionally, the ACCOUNTADMIN role can also alter or drop table XYZ, because it is the top-level role that has all privileges on all objects in the account. Furthermore, the SYSADMIN role can also alter or drop table XYZ, because it was granted the PROD_WORKING_OWNER role by the SECURITYADMIN role. The SYSADMIN role can activate the PROD_WORKING_OWNER role and inherit its privileges, including the ownership privilege on table XYZ. The SECURITYADMIN role cannot alter or drop table XYZ, because it does not have the ownership privilege on the table, nor does it have the PROD_WORKING_OWNER role.

NEW QUESTION # 60
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 is_role_in_session ('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 invoker_role() in ('MASKED_VIEW_ROLE') then else val end;
' **
D. create or replace masking policy maskString as (val string) returns string -> case when current_role() in ('MASKED_VIEW_ROLE') then ' ********* ' else val end;

Answer: A

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 # 61
When does auto-suspend occur for a multi-cluster virtual warehouse?

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

Answer: C

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 # 62
A user with the proper role issues the following commands when setting up and activating network policies:
CREATE OR REPLACE NETWORK POLICY foo_policy
ALLOWED_IP_LIST = ( '1.1.1.0/24', '2.2.2.0/24' , '3.3. 3. 0/24' )
BLOCKED IP LIST = ( '1.1.1.1')
COMMENT = 'Account level policy';
ALTER ACCOUNT SET NETWORK_POLICY=FOO_POLICY;
CREATE OR REPLACE NETWORK POLICY bar_policy
ALLOWED_IP_LIST = ('3.3.3.0/24')
BLOCKED IP LIST = ('3.3.3.10')
COMMENT = 'user level policy';
ALTER USER userl SET NETWORK_POLICY=BAR_POLICY;
Afterwards, user1 attempts to log in to Snowflake from IP address 3.3.3.10.
Will the login be successful?

A. Yes, because 3.3.3.10 is found in the ALLOWED_IP_LIST of foo_policy.
B. Yes, because 3.3.3.10 is found in the ALLOWED_IP_LIST of bar_policy.
C. No, because 3.3.3.10 is not found in the ALLOWED_IP_LIST of foo_policy.
D. No, because 3.3.3.10 is found in the BLOCKED_IP_LIST of bar_policy.

Answer: D

Explanation:
According to the Snowflake documentation1, network policies are a feature that allows restricting access to your account based on user IP address. A network policy can be applied to an account, a user, or a security integration, and can specify a list of allowed IP addresses and a list of blocked IP addresses. If there are network policies applied to more than one of these, the most specific network policy overrides more general network policies. In this case, the user1 has a network policy (bar_policy) applied to them, which overrides the account-level network policy (foo_policy). The bar_policy allows access only from the IP range 3.3.3.0/24, and blocks access from the IP address 3.3.3.10. Therefore, the user1 will not be able to log in to Snowflake from IP address 3.3.3.10, as it is found in the BLOCKED_IP_LIST of bar_policy. Option A is incorrect because the ALLOWED_IP_LIST of bar_policy does not override the BLOCKED_IP_LIST of bar_policy. Option C is incorrect because the ALLOWED_IP_LIST of foo_policy does not apply to user1, as it is overridden by the user-level network policy. Option D is incorrect because the ALLOWED_IP_LIST of foo_policy does not matter, as it is overridden by the user-level network policy.

NEW QUESTION # 63
......

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