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. SHOW WAREHOUSES;
  INSERT INTO VWH_META
  SELECT CURRENT_TIMESTAMP(), *
  FROM TABLE(RESULT_SCAN(SELECT LAST_QUERY_ID(-1)));
• B. SHOW WAREHOUSES;
  INSERT INTO VWH_META
  SELECT CURRENT_TIMESTAMP(),
  OBJECT_CONSTRUCT(*)
  FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
• C. SHOW WAREHOUSES;
  INSERT INTO VWH_META
  SELECT CURRENT_TIMESTAMP(),
  FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(1)));
• D. SHOW WAREHOUSES;
  INSERT INTO VWH_META
  SELECT CURRENT_TIMESTAMP(), *
  FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));

What are benefits of creating and maintaining resource monitors in Snowflake? (Choose three.)

• A. Resource monitors can be applied to more than one virtual warehouse.
• B. Resource monitors add no additional load to virtual warehouse compute.
• C. Resource monitor governance is tightly controlled and monitors can only be created by the ACCOUNTADMIN role or users with the CREATE MONITOR privilege.
• D. The cost of running a resource monitor is only 10% of a credit, per day of operation.
• E. Multiple triggers can be configured across various virtual warehouse thresholds.
• F. Multiple resource monitors can be applied to a single virtual warehouse.

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 IoT 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? (Choose two.)

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

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 and CURRENT_USER context functions to integrate with a secure view and filter the sensitive data.
• B. Use the CURRENT_ROLE context function to integrate with a masking policy on the fields that contain sensitive data.
• C. Create a separate table for all the non-PII columns and grant the role DEVELOPER access to the new table.
• D. 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.