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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native App that requires granular access control to its underlying data for consumer accounts. You want to implement a secure pattern that limits direct access to the data while allowing specific operations through your app's procedures. Which of the following approaches represent the MOST secure and recommended practices regarding access control in the setup script, assuming you also want to grant USAGE on future schema?

A) Creating stored procedures with the 'EXECUTE AS CALLER privilege and granting USAGE on the schema to the consumer's role. The stored procedures handle all data access logic.

B) Creating secure views on top of the underlying tables and granting SELECT privilege on these views to the consumer's role, while ensuring consumers can only access the exposed view.

C) Creating stored procedures with the 'EXECUTE AS OWNER privilege and granting USAGE on the schema to the consumer's role. The stored procedures handle all data access logic.

D) Granting SELECT privilege directly on the underlying tables in the app's data schema to the consumer's role.

E) Granting OWNERSHIP on the app's data schema to the consumer's role, allowing them full control over the data.

2. An ISV is developing a data analytics application using Snowflake Native Apps. The application allows consumers to define custom data refresh schedules. These schedules are managed by stored procedures within the application. The stored procedures need to update a shared table (using SQL MERGE command) located in a different database (managed by the ISV) within the consumer's account. The Application provider doesn't want to give access to the underlying tables to the consumer. To achieve this, which of the following GRANT statements are needed to configure the correct set of privileges for the ISV's Application Role(s) to perform MERGE operations from inside the consumer's environment? (Select all that apply.)

A) GRANT INSERT, UPDATE, DELETE ON TABLE .. TO ROLE ;
B) GRANT USAGE ON SCHEMA TO ROLE ;
C) GRANT ALL PRIVILEGES ON WAREHOUSE TO ROLE ;
D) GRANT USAGE ON DATABASE TO ROLE ;
E) GRANT SELECT ON ALL TABLES IN DATABASE TO ROLE ;

3. You are developing a Snowflake Native Application that utilizes the 'APPLICATION ROLE' within a secure data sharing context. The application needs to perform different actions based on the role assigned to the user accessing the shared dat a. Consider the following code snippet in a stored procedure:

Which of the following modifications is necessary for the stored procedure to correctly utilize the 'APPLICATION ROLE and function as intended within the context of a Snowflake Native Application and a share?

A) No modification is needed. The function will automatically return the active 'APPLICATION_ROLE' within the share.
B)

C)

D)

E)

4. You are developing a Snowflake Native Application that manages customer accounts. In version 1.0, you had a table named 'CUSTOMER_ACCOUNTS with columns 'ACCOUNT D', 'CUSTOMER NAME, and 'EMAIL'. You are now releasing version 2.0, which requires adding a new column 'PHONE NUMBER to the 'CUSTOMER ACCOUNTS table, but you need to ensure backward compatibility and allow seamless upgrades for existing installations. Which of the following approaches within the 'setup.sqr file is the MOST robust and reliable to implement this schema change without disrupting existing users?

A)

B)

C)

D)

E)

5. You are developing a Snowflake Native App that uses JavaScript stored procedures. During consumer testing, you observe inconsistent behavior: sometimes the app works perfectly, other times it throws intermittent 'JavaScript out of memory' errors. You suspect a memory leak in your JavaScript code. Which of the following actions could help you diagnose and resolve this issue effectively?

A) Refactor your JavaScript code to minimize the creation of large, temporary objects and ensure that objects are properly garbage collected by setting unused object references to 'null'.
B) Enable detailed logging within your JavaScript stored procedures using 'CALL SYSTEM$LOG(...)'})$ and analyze the logs for excessively large data structures or recursive function calls.
C) Contact Snowflake support immediately, as 'JavaScript out of memory' errors always indicate a platform bug.
D) Use the 'INFORMATION SCHEMA.QUERY HISTORY view on the consumer account to examine the query profiles of the JavaScript stored procedures, looking for excessive memory consumption or spillover to local storage.
E) Increase the warehouse size for the consumer's instance where the app is installed, assuming larger warehouses always provide more memory for JavaScript execution.

Solutions: