Snowflake SnowPro Advanced Administrator ADA-C02 - ADA-C02

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Snowflake ADA-C02 試験シラバストピック:

Snowflake SnowPro Advanced Administrator ADA-C02 認定 ADA-C02 試験問題：

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

2. Which statement allows a Snowflake Administrator to retrieve the network policy applied to their Snowflake account?

A) SHOW NETWORK POLICIES IN ACCOUNT;
B) DESC NETWORK POLICY <policy_name>;
C) SHOW PARAMETERS LIKE ‘NETWORK POLICY’ IN ACCOUNT;
D) SHOW NETWORK POLICIES;

3. What are characteristics of Dynamic Data Masking? (Choose 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) A masking policy that is currently set on a table can be dropped.
E) The role that creates the masking policy will always see unmasked data in query results.

4. 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) The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).
C) 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.
D) Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.
E) The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS.

5. A company has implemented Snowflake replication between two Snowflake accounts, both of which are running on a Snowflake Enterprise edition. The replication is for the database APP_DB containing only one schema, APP_SCHEMA. The company's time Travel retention policy is currently set for 30 days for both accounts. An Administrator has been asked to extend the time Travel retention policy to 60 days on the secondary database only.
How can this requirement be met?

A) Set the data retention policy on the secondary database to 60 days.
B) Set the data retention policy on the schemas in the secondary database to 60 days.
C) Set the data retention policy on the primary database to 30 days and the schemas to 60 days.
D) Set the data retention policy on the primary database to 60 days.

質問と回答：