ADA-C01 Free Exam Study Guide! (Updated 74 Questions) [Q37-Q56]

ADA-C01 Free Exam Study Guide! (Updated 74 Questions)

ADA-C01 Dumps for SnowPro Advanced: Administrator Certified Exam Questions and Answer

NEW QUESTION # 37
A Snowflake Administrator created a role ROLE_MANAGED_ACCESS and a schema SCHEMA_MANAGED_ACCESS as follows:
USE ROLE SECURITYADMIN;
CREATE ROLE ROLE_MANAGED_ACCESS;
GRANT ROLE ROLE_MANAGED_ACCESS TO ROLE SYSADMIN;
GRANT USAGE ON WAREHOUSE COMPUTE_WH TO ROLE ROLE_MANAGED_ACCESS;
GRANT ALL privileges ON DATABASE WORK TO ROLE ROLE_MANAGED_ACCESS;
USE ROLE ROLE_MANAGED_ACCESS;
CREATE SCHEMA SCHEMA_MANAGED_ACCESS WITH MANAGED ACCESS;
USE ROLE SECURITYADMIN;
GRANT SELECT, INSERT ON FUTURE TABLES IN SCHEMA SCHEMA MANAGED ACCESS to ROLE_MANAGED_ACCESS; The Administrator now wants to disable the managed access on the schema.
How can this be accomplished?

• A. ALTER SCHEMA SCHEMA MANAGED ACCESS DISABLE MANAGED ACCESS;
• B. USE ROLE ROLE MANAGED_ACCESS;
  DROP SCHEMA WORK. SCHEMA_MANAGED_ACCESS;
  CREATE SCHEMA SCHEMA_MANAGED_ACCESS;
  Then recreate all needed objects.
• C. USE ROLE ROLE_MANAGED_ACCESS;
  DROP SCHEMA WORK. SCHEMA MANAGED_ACCESS;
  CREATE SCHEMA SCHEMA_MANAGED_ACCESS WITHOUT MANAGED ACCESS;
  Then recreate all needed objects.
• D. REVOKE SELECT, INSERT ON FUTURE TABLES IN SCHEMA SCHEMA_MANAGED_ACCESS FROM ROLE_MANAGED_ACCESS; ALTER SCHEMA SCHEMA MANAGED ACCESS DISABLE MANAGED ACCESS;

Answer: A

Explanation:
According to the Snowflake documentation1, you can change a managed access schema to a regular schema using the ALTER SCHEMA statement with the DISABLE MANAGED ACCESS keywords. This will disable the managed access feature on the schema and revert the access control to the default behavior. Option B is incorrect because dropping and recreating the schema will also delete all the objects and metadata in the schema, which is not necessary to disable the managed access. Option C is incorrect because revoking the privileges on the future tables from the role is not required to disable the managed access. Option D is incorrect because there is no WITHOUT MANAGED ACCESS option in the CREATE SCHEMA statement.

NEW QUESTION # 38
In general, the monthly billing for database replication is proportional to which variables? (Select TWO).

• A. The number of times data moves across regions and/or cloud service providers between the primary and secondary database accounts
• B. The amount of table data in the primary database that changes as a result of data loading or DML operations
• C. The frequency of changes to the primary database as a result of data loading or DML operations
• D. The frequency of the secondary database refreshes from the primary database
• E. The number and size of warehouses defined in the primary account

Answer: B,C

Explanation:
Explanation
Snowflake charges for database replication based on two categories: data transfer and compute resources1.
Data transfer costs depend on the amount of data that is transferred from the primary database to the secondary database across regions and/or cloud service providers2. Compute resource costs depend on the use of Snowflake-provided compute resources to copy data between accounts across regions1. Both data transfer and compute resource costs are proportional to the frequency and amount of changes to the primary database as a result of data loading or DML operations3. Therefore, the answer is A and B. The other options are not directly related to the replication billing, as the frequency of secondary database refreshes does not affect the amount of data transferred or copied4, and the number and size of warehouses defined in the primary account do not affect the replication process5.

NEW QUESTION # 39
When adding secure views to a share in Snowflake, which function is needed to authorize users from another account to access rows in a base table?

• A. CURRENT_CLIENT
• B. CURRENT ACCOUNT
• C. CURRENT_USER
• D. CURRENT_ROLE

Answer: C

Explanation:
Explanation
According to the Working with Secure Views documentation, secure views are designed to limit access to sensitive data that should not be exposed to all users of the underlying table(s). When sharing secure views with another account, the view definition must include a function that returns the identity of the user who is querying the view, such as CURRENT_USER, CURRENT_ROLE, or CURRENT_ACCOUNT. These functions can be used to filter the rows in the base table based on the user's identity. For example, a secure view can use the CURRENT_USER function to compare the user name with a column in the base table that contains the authorized user names. Only the rows that match the user name will be returned by the view. The CURRENT_CLIENT function is not suitable for this purpose, because it returns the IP address of the client that is connected to Snowflake, which is not related to the user's identity.

NEW QUESTION # 40
An Administrator wants to delegate the administration of a company's data exchange to users who do not have access to the ACCOUNTADMIN role.
How can this requirement be met?

• A. Grant modify on data exchange EXCHANGE_NAME to ROLE_NAME;
• B. Grant usage on data exchange EXCHANGE_NAME to ROLE_NAME;
• C. Grant imported privileges on data exchange EXCHANGE_NAME to ROLE_NAME;
• D. Grant ownership on data exchange EXCHANGE_NAME to ROLE NAME;

Answer: A

Explanation:
According to the [GRANT MODIFY] documentation, the MODIFY privilege on a data exchange allows a role to perform administrative tasks on the data exchange, such as inviting members, approving profiles, and reviewing listings. This privilege can be granted by the ACCOUNTADMIN role or a role that already has the MODIFY privilege on the data exchange. Therefore, to delegate the administration of a company's data exchange to users who do not have access to the ACCOUNTADMIN role, the best option is to grant the MODIFY privilege on the data exchange to a role that the users can assume. The other options are incorrect because:
* A. There is no such privilege as IMPORTED PRIVILEGES in Snowflake. The correct privilege name is IMPORT SHARE, which allows a role to create a database from a share. This privilege is not related to the administration of a data exchange, but to the consumption of shared data.
* C. There is no such privilege as OWNERSHIP in Snowflake. The correct privilege name is OWNED BY, which indicates the role that owns an object and has full control over it. However, this privilege cannot be granted or revoked, but only transferred by the current owner to another role using the GRANT OWNERSHIP command. Therefore, this option is not feasible for delegating the administration of a data exchange.
* D. The USAGE privilege on a data exchange allows a role to access the data exchange and view the available data listings. This privilege does not allow a role to perform administrative tasks on the data exchange, such as inviting members, approving profiles, and reviewing listings. Therefore, this option is not sufficient for delegating the administration of a data exchange.

NEW QUESTION # 41
What are characteristics of Dynamic Data Masking? (Select TWO).

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

Answer: A,C

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 # 42
What access control policy will be put into place when future grants are assigned to both database and schema objects?

• A. An access policy combining both the database object and the schema object will be used, with the most permissive policy taking precedence.
• B. An access policy combining both the database object and the schema object will be used, with the most restrictive policy taking precedence.
• C. Schema privileges will take precedence over database privileges.
• D. Database privileges will take precedence over schema privileges.

Answer: C

Explanation:
When future grants are defined on the same object type for a database and a schema in the same database, the schema-level grants take precedence over the database level grants, and the database level grants are ignored4. This behavior applies to privileges on future objects granted to one role or different roles4. Future grants allow defining an initial set of privileges to grant on new (i.e. future) objects of a certain type in a database or a schema3. As soon as the new objects are created inside the database or schema, the predefined set of privileges are assigned to the object automatically without any manual intervention3.

NEW QUESTION # 43
A Snowflake Administrator wants to create a virtual warehouse that supports several dashboards, issuing various queries on the same database.
For this warehouse, why should the Administrator consider setting AUTO_SUSPEND to 0 or NULL?

• A. To keep the data cache warm to support good performance of similar queries
• B. To keep the query result cache warm for good performance on repeated queries
• C. To save costs by running the warehouse as little as possible
• D. To save costs on warehouse shutdowns and startups for different queries

Answer: A

Explanation:
According to the Snowflake documentation1, the AUTO_SUSPEND property specifies the number of seconds of inactivity after which a warehouse is automatically suspended. If the property is set to 0 or NULL, the warehouse never suspends automatically. For a warehouse that supports several dashboards, issuing various queries on the same database, setting AUTO_SUSPEND to 0 or NULL can help to keep the data cache warm, which means that the data used by the queries is already loaded into the warehouse memory and does not need to be fetched from the storage layer. This can improve the performance of similar queries that access the same data. Option A is incorrect because setting AUTO_SUSPEND to 0 or NULL does not save costs on warehouse shutdowns and startups, but rather increases the costs by keeping the warehouse running continuously. Option B is incorrect because setting AUTO_SUSPEND to 0 or NULL does not run the warehouse as little as possible, but rather runs the warehouse as much as possible. Option D is incorrect because setting AUTO_SUSPEND to 0 or NULL does not affect the query result cache, which is a separate cache that stores the results of previous queries for a period of time. The query result cache is not dependent on the warehouse state, but on the query criteria2.

NEW QUESTION # 44
A Snowflake Administrator needs to set up Time Travel for a presentation area that includes facts and dimensions tables, and receives a lot of meaningless and erroneous loT data. Time Travel is being used as a component of the company's data quality process in which the ingestion pipeline should revert to a known quality data state if any anomalies are detected in the latest load. Data from the past 30 days may have to be retrieved because of latencies in the data acquisition process.
According to best practices, how should these requirements be met? (Select TWO).

• A. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
• B. The fact and dimension tables should be cloned together using the same Time Travel options to reduce potential referential integrity issues with the restored data.
• C. The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_ DAYS.
• D. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.
• E. The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).

Answer: B,C

Explanation:
Explanation
According to the Understanding & Using Time Travel documentation, Time Travel is a feature that allows you to query, clone, and restore historical data in tables, schemas, and databases for up to 90 days. To meet the requirements of the scenario, the following best practices should be followed:
*The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS. This parameter specifies the number of days for which the historical data is preserved and can be accessed by Time Travel. To ensure that the fact and dimension tables can be reverted to a consistent state in case of any anomalies in the latest load, they should have the same retention period. Otherwise, some tables may lose their historical data before others, resulting in data inconsistency and quality issues.
*The fact and dimension tables should be cloned together using the same Time Travel options to reduce potential referential integrity issues with the restored data. Cloning is a way of creating a copy of an object (table, schema, or database) at a specific point in time using Time Travel. To ensure that the fact and dimension tables are cloned with the same data set, they should be cloned together using the same AT or BEFORE clause. This will avoid any referential integrity issues that may arise from cloning tables at different points in time.
The other options are incorrect because:
*Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas. This is not a best practice for Time Travel, as it does not affect the ability to query, clone, or restore historical data. However, it may be a good practice for data modeling and organization, depending on the use case and design principles.
*The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas). This is not a best practice for Time Travel,as it limits the flexibility and granularity of setting the retention period for different objects. The retention period can be set at the account, database, schema, or table level, and the most specific setting overrides the more general ones. This allows for customizing the retention period based on the data needs and characteristics of each object.
*Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables. This is not a best practice for Time Travel, as it does not affect the referential integrity between the tables. Transient tables are tables that do not have a Fail-safe period, which means that they cannot be recovered by Snowflake after the retention period ends. However, they still support Time Travel within the retention period, and can be queried, cloned, and restored like permanent tables. The choice of table type depends on the data durability and availability requirements, not on the referential integrity.

NEW QUESTION # 45
A Snowflake Administrator needs to persist all virtual warehouse configurations for auditing and backups. Given a table already exists with the following schema:
Table Name : VWH_META
Column 1 : SNAPSHOT_TIME TIMESTAMP_NTZ
Column 2 : CONFIG VARIANT
Which commands should be executed to persist the warehouse data at the time of execution in JSON format in the table VWH META?

• A. 1. SHOW WAREHOUSES;
  2. INSERT INTO VWH_META
  SELECT CURRENT_TIMESTAMP (),
  OBJECT CONSTRUCT (*)
  FROM TABLE (RESULT_SCAN (LAST_QUERY_ID ()));
• B. 1. SHOW WAREHOUSES;
  2. INSERT INTO VWH META
  SELECT CURRENT TIMESTAMP (), *
  FROM TABLE (RESULT_SCAN (SELECT
  LAST QUERY ID(-1)));
• C. 1. SHOW WAREHOUSES;
  2. INSERT INTO VWH META
  SELECT CURRENT TIMESTAMP (),
  FROM TABLE (RESULT_SCAN (LAST_QUERY_ID(1) ) ) ;
• D. 1. SHOW WAREHOUSES;
  2. INSERT INTO VWH META
  SELECT CURRENT TIMESTAMP (), *
  FROM TABLE (RESULT_SCAN (LAST_QUERY_ID ())) ;

Answer: A

Explanation:
According to the Using Persisted Query Results documentation, the RESULT_SCAN function allows you to query the result set of a previous command as if it were a table. The LAST_QUERY_ID function returns the query ID of the most recent statement executed in the current session. Therefore, the combination of these two functions can be used to access the output of the SHOW WAREHOUSES command, which returns the configurations of all the virtual warehouses in the account. However, to persist the warehouse data in JSON format in the table VWH_META, the OBJECT_CONSTRUCT function is needed to convert the output of the SHOW WAREHOUSES command into a VARIANT column. The OBJECT_CONSTRUCT function takes a list of key-value pairs and returns a single JSON object. Therefore, the correct commands to execute are:
1. SHOW WAREHOUSES;
2. INSERT INTO VWH_META SELECT CURRENT_TIMESTAMP (), OBJECT_CONSTRUCT (*) FROM TABLE (RESULT_SCAN (LAST_QUERY_ID ())); The other options are incorrect because:
* A) This option does not use the OBJECT_CONSTRUCT function, so it will not persist the warehouse data in JSON format. Also, it is missing the * symbol in the SELECT clause, so it will not select any columns from the result set of the SHOW WAREHOUSES command.
* B) This option does not use the OBJECT_CONSTRUCT function, so it will not persist the warehouse data in JSON format. It will also try to insert multiple columns into a single VARIANT column, which will cause a type mismatch error.
* D) This option does not use the OBJECT_CONSTRUCT function, so it will not persist the warehouse data in JSON format. It will also try to use the RESULT_SCAN function on a subquery, which is not supported. The RESULT_SCAN function can only be used on a query ID or a table name.

NEW QUESTION # 46
An Administrator is evaluating a complex query using the EXPLAIN command. The Globalstats operation indicates 500 partitionsAssigned.
The Administrator then runs the query to completion and opens the Query Profile. They notice that the partitions scanned value is 429.
Why might the actual partitions scanned be lower than the estimate from the EXPLAIN output?

• A. The EXPLAIN results always include a 10-15% safety factor in order to provide conservative estimates.
• B. The GlobalStats partition assignment includes the micro-partitions that will be assigned for preservation of the query results.
• C. Runtime optimizations such as join pruning can reduce the number of partitions and bytes scanned during query execution.
• D. In-flight data compression will result in fewer micro-partitions being scanned at the virtual warehouse layer than were identified at the storage layer.

Answer: C

Explanation:
The EXPLAIN command returns the logical execution plan for a query, which shows the upper bound estimates for the number of partitions and bytes that might be scanned by the query1. However, these estimates do not account for the runtime optimizations that Snowflake performs to improve the query performance and reduce the resource consumption2. One of these optimizations is join pruning, which eliminates unnecessary partitions from the join inputs based on the join predicates2. This can result in fewer partitions and bytes scanned than the estimates from the EXPLAIN output3. Therefore, the actual partitions scanned value in the Query Profile can be lower than the partitionsAssigned value in the EXPLAIN output4.

NEW QUESTION # 47
An Administrator has been asked to support the company's application team need to build a loyalty program for its customers. The customer table contains Personal Identifiable Information (PII), and the application team's role is DEVELOPER.
CREATE TABLE customer_data (
customer_first_name string,
customer_last_name string,
customer_address string,
customer_email string,
... some other columns,
);
The application team would like to access the customer data, but the email field must be obfuscated.
How can the Administrator protect the sensitive information, while maintaining the usability of the data?

• A. Use the CURRENT_ROLE context function to integrate with a masking policy on the fields that contain sensitive data.
• B. Create a view on the customer_data table to eliminate the email column by omitting it from the SELECT clause. Grant the role DEVELOPER access to the view.
• C. Use the CURRENT_ROLE and CURRENT_USER context functions to integrate with a secure view and filter the sensitive data.
• D. Create a separate table for all the non-Pll columns and grant the role DEVELOPER access to the new table.

Answer: A

NEW QUESTION # 48
When adding secure views to a share in Snowflake, which function is needed to authorize users from another account to access rows in a base table?

• A. CURRENT_CLIENT
• B. CURRENT ACCOUNT
• C. CURRENT_USER
• D. CURRENT_ROLE

Answer: C

Explanation:
According to the Working with Secure Views documentation, secure views are designed to limit access to sensitive data that should not be exposed to all users of the underlying table(s). When sharing secure views with another account, the view definition must include a function that returns the identity of the user who is querying the view, such as CURRENT_USER, CURRENT_ROLE, or CURRENT_ACCOUNT. These functions can be used to filter the rows in the base table based on the user's identity. For example, a secure view can use the CURRENT_USER function to compare the user name with a column in the base table that contains the authorized user names. Only the rows that match the user name will be returned by the view. The CURRENT_CLIENT function is not suitable for this purpose, because it returns the IP address of the client that is connected to Snowflake, which is not related to the user's identity.

NEW QUESTION # 49
What are the MINIMUM grants required on the database, schema, and table for a stream to be properly created and managed?

• A. Database: Usage
  Schema: Usage
  Table: Select, Create Stream
• B. Database: Usage, Create Stream
  Schema: Usage
  Table: Select
• C. Database: Usage
  Schema: Usage, Create Stream
  Table: Select
• D. Database: Usage
  Schema: Usage
  Table: Select

Answer: A

NEW QUESTION # 50
The ACCOUNTADMIN of Account 123 works with Snowflake Support to set up a Data Exchange. After the exchange is populated with listings from other Snowflake accounts, what roles in Account 123 are allowed to request and get data?

• A. Any role that the listing provider has designated as authorized
• B. Any role with IMPORT SHARE and CREATE DATABASE privileges
• C. Any role with USAGE privilege on the Data Exchange
• D. Only the ACCOUNTADMIN role, and no other roles

Answer: C

Explanation:
Explanation
To request and get data from a Data Exchange, the role in Account 123 must have the USAGE privilege on the Data Exchange object. This privilege allows the role to view the listings and request access to the data.
According to the Snowflake documentation, "To view the listings in a data exchange, a role must have the USAGE privilege on the data exchange object. To request access to a listing, a role must have the USAGE privilege on the data exchange object and the IMPORT SHARE privilege on the account." The other options are either incorrect or not sufficient to request and get data from a Data Exchange. Option A is incorrect, as the ACCOUNTADMIN role is not the only role that can request and get data, as long as other roles have the necessary privileges. Option C is incorrect, as the IMPORT SHARE and CREATE DATABASE privileges are not required to request and get data, but only to create a database from a share after the access is granted.
Option D is incorrect, as the listing provider does not designate the authorized roles in Account 123, but only approves or denies the requests from Account 123.

NEW QUESTION # 51
An Administrator has a user who needs to be able to suspend and resume a task based on the current virtual warehouse load, but this user should not be able to modify the task or start a new run.
What privileges should be granted to the user to meet these requirements? (Select TWO).

• A. OWNERSHIP on the database and schema containing the task
• B. OPERATE on the task
• C. USAGE on the database and schema containing the task
• D. EXECUTE TASK on the task
• E. OWNERSHIP on the task

Answer: B,C

Explanation:
The user needs the OPERATE privilege on the task to suspend and resume it, and the USAGE privilege on the database and schema containing the task to access it1. The EXECUTE TASK privilege is not required for suspending and resuming a task, only for triggering a new run1. The OWNERSHIP privilege on the task or the database and schema would allow the user to modify or drop the task, which is not desired.

NEW QUESTION # 52
A team of developers created a new schema for a new project. The developers are assigned the role DEV_TEAM which was set up using the following statements:
USE ROLE SECURITYADMIN;
CREATE ROLE DEV TEAM;
GRANT USAGE, CREATE SCHEMA ON DATABASE DEV_DB01 TO ROLE DEV_TEAM;
GRANT USAGE ON WAREHOUSE DEV_WH TO ROLE DEV_TEAM;
Each team member's access is set up using the following statements:
USE ROLE SECURITYADMIN;
CREATE ROLE JDOE_PROFILE;
CREATE USER JDOE LOGIN NAME = 'JDOE' DEFAULT_ROLE='JDOE_PROFILE';
GRANT ROLE JDOE_PROFILE TO USER JDOE;
GRANT ROLE DEV_TEAM TO ROLE JDOE_PROFILE;
New tables created by any of the developers are not accessible by the team as a whole.
How can an Administrator address this problem?

• A. Assign usage privilege on the virtual warehouse DEV_WH to the role JDOE_PROFILE.
• B. Set up the new schema as a managed-access schema.
• C. Set up future grants on the newly-created schemas.
• D. Assign ownership privilege to DEV_TEAM on the newly-created schema.

Answer: C

Explanation:
Explanation
According to the Snowflake documentation1, future grants are a way to automatically grant privileges on future objects of a specific type that are created in a database or schema. By setting up future grants on the newly-created schemas, the administrator can ensure that any tables created by the developers in those schemas will be accessible by the DEV_TEAM role, without having to grant privileges on each table individually. Option A is incorrect because assigning ownership privilege to DEV_TEAM on the newly-created schema does not grant privileges on the tables in the schema, only on the schema itself. Option B is incorrect because assigning usage privilege on the virtual warehouse DEV_WH to the role JDOE_PROFILE does not affect the access to the tables in the schemas, only the ability to use the warehouse.
Option D is incorrect because setting up the new schema as a managed-access schema does not grant privileges on the tables in the schema, but rather requires explicit grants for each table.

NEW QUESTION # 53
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. Because ACCOUNTADMIN created the table, only the ACCOUNTADMIN role can alter or drop table XYZ.
• B. PROD_WORKING_OWNER, ACCOUNTADMIN, and SYSADMIN can alter or drop table XYZ.
• C. Only the PROD_WORKING_OWNER role can alter or drop table XYZ.
• D. SECURITYADMIN, SYSADMIN, and ACCOUNTADMIN can alter or drop table XYZ.

Answer: B

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 # 54
What are benefits of using Snowflake organizations? (Select TWO).

• A. Administrators can change Snowflake account editions on-demand based on need.
• B. Administrators can monitor and understand usage across all accounts in the organization.
• C. User administration is simplified across all accounts within the organization.
• D. Administrators can simplify data movement across all accounts within the organization.
• E. Administrators have the ability to create accounts in any available cloud provider or region.

Answer: B,E

Explanation:
Explanation
According to the Snowflake documentation1, organizations are a feature that allows linking the accounts owned by a business entity, simplifying account management and billing, replication and failover, data sharing, and other account administration tasks. Some of the benefits of using organizations are:
*Administrators can monitor and understand usage across all accounts in the organization using the ORGANIZATION_USAGE schema, which provides historical usage data for all accounts in the organization via views in a shared database named SNOWFLAKE2. This can help to optimize costs and performance across the organization.
*Administrators have the ability to create accounts in any available cloud provider or region using the CREATE ACCOUNT command, which allows specifying the cloud platform and region for the new account3.
This can help to meet the business needs and compliance requirements of the organization.
Option A is incorrect because administrators cannot change Snowflake account editions on-demand based on need, but rather have to contact Snowflake Support to request an edition change4. Option C is incorrect because administrators cannot simplify data movement across all accounts within the organization, but rather have to enable account database replication for both the source and target accounts, and use the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command to promote a local database to serve as the primary database and enable replication to the target accounts5. Option D is incorrect because user administration is not simplified across all accounts within the organization, but rather requires creating and managing users, roles, and privileges for each account separately, unless using a federated authentication method such as SSO or SCIM.

NEW QUESTION # 55
An Administrator loads data into a staging table every day. Once loaded, users from several different departments perform transformations on the data and load it into different production tables.
How should the staging table be created and used to MINIMIZE storage costs and MAXIMIZE performance?

• A. Create it as a transient table with a retention time of 0 days.
• B. Create it as a temporary table with a retention time of 0 days.
• C. Create it as an external table, which will not incur Time Travel costs.
• D. Create it as a permanent table with a retention time of 0 days.

Answer: A

Explanation:
According to the Snowflake documentation1, a transient table is a type of table that does not support Time Travel or Fail-safe, which means that it does not incur any storage costs for maintaining historical versions of the data or backups for disaster recovery. A transient table can be dropped at any time, and the data is not recoverable. A transient table can also have a retention time of 0 days, which means that the data is deleted immediately after the table is dropped or truncated. Therefore, creating the staging table as a transient table with a retention time of 0 days can minimize the storage costs and maximize the performance, as the data is only loaded and transformed once, and then deleted after the production tables are populated. Option A is incorrect because creating the staging table as an external table, which references data files stored in a cloud storage location, can incur additional costs and complexity for data transfer and synchronization, and may not provide the best performance for data loading and transformation. Option C is incorrect because creating the staging table as a temporary table, which is automatically dropped when the session ends or the user logs out, can cause data loss or inconsistency if the session is interrupted or terminated before the production tables are populated. Option D is incorrect because creating the staging table as a permanent table, which supports Time Travel and Fail-safe, can incur additional storage costs for maintaining historical versions of the data and backups for disaster recovery, and may not provide the best performance for data loading and transformation.

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