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Free PDF 2025 Snowflake Trustable Latest ADA-C01 Exam Pattern

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2025 Snowflake Authoritative ADA-C01: Latest SnowPro Advanced Administrator Exam Pattern

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Snowflake SnowPro Advanced Administrator Sample Questions (Q68-Q73):

NEW QUESTION # 68
How should an Administrator configure a Snowflake account to use AWS PrivateLink?

A. Create CNAME records in the DNS.
B. Block public access to Snowflake.
C. Use SnowCD to evaluate the network connection.
D. Contact Snowflake Support.

Answer: D

Explanation:
Explanation
To configure a Snowflake account to use AWS PrivateLink, the Administrator needs to create CNAME records in the DNS that point to the private endpoints provided by Snowflake. This allows the clients to connect to Snowflake using the same URL as before, but with private connectivity. According to the Snowflake documentation, "After you have created the VPC endpoints, Snowflake provides you with a list of private endpoints for your account. You must create CNAME records in your DNS that point to these private endpoints. The CNAME records must use the same hostnames as the original Snowflake URLs for your account." The other options are either incorrect or not sufficient to configure AWS PrivateLink. Option B is not necessary, as the Administrator can enable AWS PrivateLink using the SYSTEM$AUTHORIZE_PRIVATELINK function1. Option C is not recommended, as it may prevent some data traffic from reaching Snowflake, such as large result sets stored on AWS S32. Option D is not related to AWS PrivateLink, but to Snowflake Connectivity Diagnostic (SnowCD), which is a tool for diagnosing network issues between clients and Snowflake3.

NEW QUESTION # 69
What SCIM integration types are supported in Snowflake? (Select THREE).

A. Amazon Web Services (AWS)
B. Google Cloud Platform (GCP)
C. Duo Security Provisioning Connector
D. Okta
E. Custom
F. Azure Active Directory (Azure AD)

Answer: D,E,F

Explanation:
Explanation
According to the Snowflake documentation1, Snowflake supports SCIM 2.0 to integrate Snowflake with Okta and Microsoft Azure AD, which both function as identity providers. Snowflake also supports identity providers that are neither Okta nor Microsoft Azure (i.e. Custom). Therefore, theSCIM integration types that are supported in Snowflake are Okta, Custom, and Azure AD. Option A is incorrect because Amazon Web Services (AWS) is not a SCIM identity provider. Option B is incorrect because Google Cloud Platform (GCP) is not a SCIM identity provider. Option F is incorrect because Duo Security Provisioning Connector is not a SCIM identity provider.

NEW QUESTION # 70
A company's Snowflake account has multiple roles. Each role should have access only to data that resides in the given role's specific region.
When creating a row access policy, which code snippet below will provide privileges to the role ALL_ACCESS_ROLE to see all rows regardless of region, while the other roles can only see rows for their own regions?

A. create or replace row access policy region policy as (region_value varchar) returns boolean -> exists ( select 1 from entitlement_table where role = current_role () and region = region_value )
B. create or replace row access policy region policy as (region_value varchar) returns boolean ->
'ALL ACCESS ROLE' = current_role ()
)
C. create or replace row access policy region policy as (region_value varchar) returns boolean ->
'ALL_ACCESS_ROLE' = current_role ()
or exists (
select 1 from entitlement_table
where role = current_role ()
and region = region_value
)
D. create or replace row access policy region policy as (region_value varchar) returns boolean ->
'ALL ACCESS_ROLE' = current_role ()
and exists (
select 1 from entitlement_table
where role = current_role ()
and region = region_value
)

Answer: C

Explanation:
Explanation
This code snippet will create a row access policy that returns true if the current role is ALL_ACCESS_ROLE or if the current role matches the region value in the entitlement_table. This means that the ALL_ACCESS_ROLE can see all rows regardless of region, while the other roles can only see rows for their own regions. According to the Snowflake documentation, the CURRENT_ROLE context function returns the name of the current role for the session. The EXISTS function returns true if the subquery returns any rows.
The OR operator returns true if either operand is true. Therefore, this code snippet satisfies the requirements of the question.

NEW QUESTION # 71
MY_TABLE is a table that has not been updated or modified for several days. On 01 January 2021 at 07:01, a user executed a query to update this table. The query ID is
'8e5d0ca9-005e-44e6-b858-a8f5b37c5726'. It is now 07:30 on the same day.
Which queries will allow the user to view the historical data that was in the table before this query was executed? (Select THREE).

A. SELECT * FROM my_table AT (TIMESTAMP => '2021-01-01 07:00:00' :: timestamp);
B. SELECT * FROM TIME_TRAVEL ('MY_TABLE', 2021-01-01 07:00:00);
C. SELECT * FROM my table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726';
D. SELECT * FROM my_table BEFORE (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726');
E. SELECT * FROM my_table AT (OFFSET => -60*30);
F. SELECT * FROM my table WITH TIME_TRAVEL (OFFSET => -60*30);

Answer: A,C,D

Explanation:
Explanation
According to the AT | BEFORE documentation, the AT or BEFORE clause is used for Snowflake Time Travel, which allows you to query historical data from a table based on a specific point in the past. The clause can use one of the following parameters to pinpoint the exact historical data you wish to access:
*TIMESTAMP: Specifies an exact date and time to use for Time Travel.
*OFFSET: Specifies the difference in seconds from the current time to use for Time Travel.
*STATEMENT: Specifies the query ID of a statement to use as the reference point for Time Travel.
Therefore, the queries that will allow the user to view the historical data that was in the table before the query was executed are:
*B. SELECT * FROM my_table AT (TIMESTAMP => '2021-01-01 07:00:00' :: timestamp); This query uses the TIMESTAMP parameter to specify a point in time that is before the query execution time of 07:01.
*D. SELECT * FROM my table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726'; This query uses the PRIOR TO STATEMENT keyword and the STATEMENT parameter to specify a point in time that is immediately preceding the query execution time of 07:01.
*F. SELECT * FROM my_table BEFORE (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726'); This query uses the BEFORE keyword and the STATEMENT parameter to specify a point in time that is immediately preceding the query execution time of 07:01.
The other queries are incorrect because:
*A. SELECT * FROM my table WITH TIME_TRAVEL (OFFSET => -60*30); This query uses the OFFSET parameter to specify a point in time that is 30 minutes before the current time, which is 07:30. This is after the query execution time of 07:01, so it will not show the historical data before the query was executed.
*C. SELECT * FROM TIME_TRAVEL ('MY_TABLE', 2021-01-01 07:00:00); This query is not valid syntax for Time Travel. The TIME_TRAVEL function does not exist in Snowflake. The correct syntax is to use the AT or BEFORE clause after the table name in the FROM clause.
*E. SELECT * FROM my_table AT (OFFSET => -60*30); This query uses the AT keyword and the OFFSET parameter to specify a point in time that is 30 minutes before the current time, which is 07:30. This is equal to the query execution time of 07:01, so it will not show the historical data before the query was executed. The AT keyword specifies that the request is inclusive of any changes made by a statement or transaction with timestamp equal to the specified parameter. To exclude the changes made by the query, the BEFORE keyword should be used instead.

NEW QUESTION # 72
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. PROD_WORKING_OWNER, ACCOUNTADMIN, and SYSADMIN can alter or drop table XYZ.
B. Only the PROD_WORKING_OWNER role can alter or drop table XYZ.
C. Because ACCOUNTADMIN created the table, only the ACCOUNTADMIN role can alter or drop table XYZ.
D. SECURITYADMIN, SYSADMIN, and ACCOUNTADMIN can alter or drop table XYZ.

Answer: A

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 # 73
......

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