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

NEW QUESTION # 68
A company has set up a new Snowflake account. An Identity Provider (IdP) has been configured for both Single Sign-On (SSO) and SCIM provisioning.
What maintenance is required to ensure that the SCIM provisioning process continues to operate without errors?

A. The Administrator must issue a POST RENEW call to the REST API at least once every six months.
B. The IdP service account requires a new RSA key pair to be generated every six months.
C. The IdP Administrator must issue a REFRESH transaction at least once every six months to synchronize all users and roles.
D. The OAuth Bearer Tokens have a lifespan of six months and must be regenerated prior to expiration.

Answer: D

Explanation:
According to the Snowflake documentation1, the authentication process for SCIM provisioning uses an OAuth Bearer token and this token is valid for six months. Customers must keep track of their authentication token and can generate a new token on demand. If the token expires, the SCIM provisioning process will fail. Therefore, the token must be regenerated before it expires. The other options are not required for SCIM provisioning.

NEW QUESTION # 69
An Administrator has a warehouse which is intended to have a credit quota set for 3000 for each calendar year.
The Administrator needs to create a resource monitor that
will perform the following tasks:
1. At 80% usage notify the account Administrators.
2. At 100% usage suspend the warehouse and notify the account Administrators.
3. At 120% stop all running executions, suspend the warehouse, and notify the account Administrators.
Which SQL command will meet these requirements?

A. create or replace resource monitor RM1 with credit_quota=3000
start_timestamp = '2022-01-01 00:00 CET'
triggers on 80 percent do notify
on 100 percent do notify and suspend
on 120 percent do notify and suspend_immediate;
alter warehouse WH1 set resource monitor = RM1;
B. create or replace resource monitor RM1 with credit_quota=3000
frequency = yearly
triggers on 80 percent do notify
on 100 percent do suspend
on 120 percent do suspend_immediate;
alter warehouse WH1 set resource_monitor = RM1;
C. create or replace resource monitor RM1 with credit_quota=3000
frequency = yearly
start_timestamp = '2022-01-01 00:00 CET'
triggers on 80 percent do notify
on 100 percent do suspend
on 120 percent do suspend_immediate;
alter warehouse WH1 set resource monitor = RM1;
D. create or replace resource monitor RM1 with credit_quota=3000
start_timestamp = '2022-01-01 00:00 CET'
triggers on 80 percent do notify
on 100 percent do suspend
on 120 percent do suspend_immediate;
alter warehouse WH1 set resource_monitor = RM1;

Answer: C

Explanation:
Explanation
Option B is the correct SQL command to create a resource monitor that meets the requirements. It sets the credit quota to 3000, the frequency to yearly, the start timestamp to January 1, 2022, and the triggers to notify and suspend the warehouse at the specified thresholds. Option A is incorrect because it does not specify the frequency. Option C is incorrect because it does not specify the frequency and it uses notify and suspend instead of suspend and suspend_immediate. Option D is incorrect because it does not specify the start timestamp. For more information about resource monitors, see Working with Resource Monitors and CREATE RESOURCE MONITOR.

NEW QUESTION # 70
A Snowflake organization MYORG consists of two Snowflake accounts:

The ACCOUNT1 has a database PROD_DB and the ORGADMIN role enabled.
Management wants to have the PROD_DB database replicated to ACCOUNT2.
Are there any necessary configuration steps in ACCOUNT1 before the database replication can be configured and initiated in ACCOUNT2?

A. No configuration steps are necessary in ACCOUNT1. Replicating databases across accounts within the same Snowflake organization is enabled by default.
B. USE ROLE ORGADMIN;
SELECT SYSTEMSGLOBAL_ACCOUNT_SET_PARAMETER ('MYORG. ACCOUNT1', 'ENABLE_ACCOUNT_DATABASE_REPLICATION', 'TRUE'); SELECT SYSTEMSGLOBAL_ACCOUNT_SET_PARAMETER ('MYORG. ACCOUNT2', 'ENABLE_ACCOUNT_DATABASE_REPLICATION', 'TRUE'); USE ROLE ACCOUNTADMIN; ALTER DATABASE PROD DB ENABLE REPLICATION TO ACCOUNTS MYORG. ACCOUNT2;
C. USE ROLE ORGADMIN;
SELECT SYSTEMSGLOBAL ACCOUNT SET_PARAMETER ( 'MYORG. ACCOUNT1', 'ENABLE_ACCOUNT_DATABASE_REPLICATION', 'TRUE'); USE ROLE ACCOUNTADMIN; ALTER DATABASE PROD_DB ENABLE REPLICATION TO ACCOUNTS MYORG. ACCOUNT2 IGNORE EDITION CHECK;
D. It is not possible to replicate a database from an Enterprise edition Snowflake account to a Standard edition Snowflake account.

Answer: C

Explanation:
According to the Snowflake documentation1, database replication across accounts within the same organization requires the following steps:
* Link the accounts in the organization using the ORGADMIN role.
* Enable account database replication for both the source and target accounts using the SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER function.
* Promote a local database to serve as the primary database and enable replication to the target accounts using the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command.
* Create a secondary database in the target account using the CREATE DATABASE ... FROM SHARE command.
* Refresh the secondary database periodically using the ALTER DATABASE ... REFRESH command.
Option A is incorrect because it does not include the step of creating a secondary database in the target account. Option C is incorrect because replicating databases across accounts within the same organization is not enabled by default, but requires enabling account database replication for both the source and target accounts. Option D is incorrect because it is possible to replicate a database from an Enterprise edition Snowflake account to a Standard edition Snowflake account, as long as the IGNORE EDITION CHECK option is used in the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command2. Option B is correct because it includes all the necessary configuration steps in ACCOUNT1, except for creating a secondary database in ACCOUNT2, which can be done after the replication is enabled.

NEW QUESTION # 71
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 array_contains ('MASKED_VIEW_ROLE' :: variant, parse_json (current_available_roles ())) then '* else val end;
** '
B. create or replace masking policy maskstring as (val string) returns string -> case when is_role_in_session ('MASKED_VIEW_ROLE') 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: B

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 # 72
An Administrator needs to create a sample of the table LINEITEM. The sample should not be repeatable and the sampling function should take the data by blocks of rows.
What select command will generate a sample of 20% of the table?

A. select * from LINEITEM tablesample system (20) seed (1);
B. select * from LINEITEM sample bernoulli (20);
C. select * from LINEITEM sample system (20);
D. select * from LINEITEM tablesample block (20 rows);

Answer: C

Explanation:
This command will generate a sample of 20% of the table by using the SYSTEM (or BLOCK) sampling method, which selects each block of rows with a probability of 20/100. This method is suitable for taking data by blocks of rows, as the question requires. According to the Snowflake documentation, "SYSTEM (or BLOCK): Includes each block of rows with a probability of p/100. Similar to flipping a weighted coin for each block of rows. This method does not support fixed-size sampling." The other options are either incorrect or do not meet the requirements of the question. Option A uses the BERNOULLI (or ROW) sampling method, which selects each row with a probability of 20/100, but does not take data by blocks of rows. Option C uses the BLOCK sampling method, but specifies a fixed number of rows (20) instead of a percentage (20%). Option D uses the SYSTEM sampling method, but specifies a seed value (1), which makes the sampling repeatable, contrary to the question.

NEW QUESTION # 73
......

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