LEARNING SNOWFLAKE ADA-C01 MODE | ADA-C01 PRACTICE TEST

Learning Snowflake ADA-C01 Mode | ADA-C01 Practice Test

Learning Snowflake ADA-C01 Mode | ADA-C01 Practice Test

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Snowflake SnowPro Advanced Administrator Sample Questions (Q27-Q32):

NEW QUESTION # 27
A requirement has been identified to allow members of a corporate Data Product team to bring in data sets from the Snowflake Marketplace. The members of this team use the role DP_TEAM.
What grant statements must the ACCOUNTADMIN execute in order for the DP TEAM role to import and work with data from the Marketplace?

  • A. grant import share on account to role dp_team;
    grant create database on account to role dp_team;
  • B. grant marketplace in account to role dp_team;
    grant create database from share to role dp_team;
  • C. grant usage on snowflake_marketplace to role dp_team;
    grant create database on account to role dp_team;
  • D. grant imported privileges on account to role dp_team;
    grant create database on account to role dp_team;

Answer: A

Explanation:
Explanation
Option D is the correct answer because it follows the steps described in the Snowflake documentation for importing data from the Snowflake Marketplace. The ACCOUNTADMIN role needs to grant the IMPORT SHARE privilege on the account to the DP_TEAM role, which allows the role to import data from any provider in the marketplace. The ACCOUNTADMIN role also needs to grant the CREATE DATABASE privilege on the account to the DP_TEAM role, which allows the role to create a database from a share. Option A is incorrect because there is no MARKETPLACE privilege in Snowflake. Option B is incorrect because the USAGE privilege on SNOWFLAKE_MARKETPLACE is not sufficient to import data from the marketplace.
Option C is incorrect because there is no IMPORTED PRIVILEGES privilege in Snowflake.


NEW QUESTION # 28
What is required for stages, without credentials, to limit data exfiltration after a storage integration and associated stages are created?

  • A. ALTER ACCOUNT my_account SET
    REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = false;
    ALTER ACCOUNT my_account SET
    REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = false;
    ALTER ACCOUNT my_account SET
    PREVENT_UNLOAD_TO_INLINE_URL = false;
  • B. ALTER ACCOUNT my_account SET
    REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = true;
    ALTER ACCOUNT my_account SET
    REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = true;
    ALTER ACCOUNT my_account SET
    PREVENT_UNLOAD_TO_INLINE_URL = false;
  • C. ALTER ACCOUNT my_account SET
    REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = false;
    ALTER ACCOUNT my_account SET
    REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = false;
    ALTER ACCOUNT my_account SET
    PREVENT_UNLOAD_TO_INLINE_URL = true;
  • D. ALTER ACCOUNT my_account SET
    REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = true;
    ALTER ACCOUNT my_account SET
    REQUIRE_STORAGE_INTEGRATION FOR STAGE_OPERATION = true;
    ALTER ACCOUNT my_account SET
    PREVENT_UNLOAD_TO_INLINE_URL = true;

Answer: D

Explanation:
According to the Snowflake documentation1, stages without credentials are a way to create external stages that use storage integrations to access data files in cloud storage without providing any credentials to Snowflake. Storage integrations are objects that define a trust relationship between Snowflake and a cloud provider, allowing Snowflake to authenticate and authorize access to the cloud storage. To limit data exfiltration after a storage integration and associated stages are created, the following account-level parameters can be set:
* REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION: This parameter enforces that all external stages must be created using a storage integration. This prevents users from creating external stages with inline credentials or URLs that point to unauthorized locations.
* REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION: This parameter enforces that all operations on external stages, such as PUT, GET, COPY, and LIST, must use a storage integration. This prevents users from performing operations on external stages with inline credentials or URLs that point to unauthorized locations.
* PREVENT_UNLOAD_TO_INLINE_URL: This parameter prevents users from unloading data from Snowflake tables to inline URLs that do not use a storage integration. This prevents users from exporting data to unauthorized locations.
Therefore, the correct answer is option D, which sets all these parameters to true. Option A is incorrect because it sets PREVENT_UNLOAD_TO_INLINE_URL to false, which allows users to unload data to inline URLs that do not use a storage integration. Option B is incorrect because it sets both REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION and REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION to false, which allows users to create and operate on external stages without using a storage integration. Option C is incorrect because it sets all the parameters to false, which does not enforce any restrictions on data exfiltration.


NEW QUESTION # 29
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 primary database to 30 days and the schemas to 60 days.
  • C. Set the data retention policy on the primary database to 60 days.
  • D. Set the data retention policy on the schemas in the secondary database to 60 days.

Answer: A

Explanation:
According to the Replication considerations documentation, the Time Travel retention period for a secondary database can be different from the primary database. The retention period can be set at the database, schema, or table level using the DATA_RETENTION_TIME_IN_DAYS parameter. Therefore, to extend the Time Travel retention policy to 60 days on the secondary database only, the best option is to set the data retention policy on the secondary database to 60 days using the ALTER DATABASE command. The other options are incorrect because:
* B. Setting the data retention policy on the schemas in the secondary database to 60 days will not affect the database-level retention period, which will remain at 30 days. The most specific setting overrides the more general ones, so the schema-level setting will apply to the tables in the schema, but not to the database itself.
* C. Setting the data retention policy on the primary database to 30 days and the schemas to 60 days will not affect the secondary database, which will have its own retention period. The replication process does not copy the retention period settings from the primary to the secondary database, so they can be configured independently.
* D. Setting the data retention policy on the primary database to 60 days will not affect the secondary database, which will have its own retention period. The replication process does not copy the retention period settings from the primary to the secondary database, so they can be configured independently.


NEW QUESTION # 30
A Snowflake user runs a complex SQL query on a dedicated virtual warehouse that reads a large amount of data from micro-partitions. The same user wants to run another query that uses the same data set.
Which action would provide optimal performance for the second SQL query?

  • A. Prevent the virtual warehouse from suspending between the running of the first and second queries.
  • B. Increase the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session.
  • C. Use the RESULT_SCAN function to post-process the output of the first query.
  • D. Assign additional clusters to the virtual warehouse.

Answer: C

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. This can improve the performance of the second query by avoiding reading the same data from micro-partitions again. The other actions do not provide optimal performance for the second query because:
* Assigning additional clusters to the virtual warehouse does not affect the data access speed, but only the query execution speed. It also increases the cost of the warehouse.
* Increasing the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session does not improve the performance of the query, but only allows it to run longer before timing out. It also increases the risk of resource contention and deadlock.
* Preventing the virtual warehouse from suspending between the running of the first and second queries does not guarantee that the data will be cached in memory, as Snowflake uses a least recently used (LRU) cache eviction policy. It also increases the cost of the warehouse.
https://docs.snowflake.com/en/user-guide/querying-persisted-results


NEW QUESTION # 31
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 # 32
......

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