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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q114-Q119):

NEW QUESTION # 114
You have a Snowflake Native Application listed on the Marketplace. You need to update the application to add a new feature, which requires changes to both the application code and the database schema within the application package. You want to ensure a seamless upgrade experience for existing consumers, minimizing downtime and data loss. What is the MOST appropriate strategy for deploying this update?

A. Create a new version of the application package. Include a setup script that detects the existing version of the application and performs any necessary schema migrations or data transformations. Announce the new version and instruct consumers to manually upgrade.
B. Create a new version of the application package. Before releasing, use a feature flag system to gradually roll out the new feature to a subset of consumers, monitoring for any issues before a full release.
C. Modify the existing application package directly with the updated code and schema. This will automatically update the application for all consumers.
D. Create a new version of the application package. Implement a Snowpark Python stored procedure within the new version that handles schema migrations and data transformations. This procedure should be automatically executed during the upgrade process.
E. Create a new version of the application package with the updated code and schema. Consumers will automatically be upgraded to the new version upon release.

Answer: A,B

Explanation:
Option B is a strong approach because it uses a setup script to handle schema migrations and ensures compatibility with existing versions. Consumers need to be informed and initiate the upgrade, giving them control. Option D, using feature flags for a gradual rollout, is a best practice for minimizing risk and monitoring the impact of the changes on a smaller user base before a full deployment. Option A is risky because automatic upgrades without proper migration handling can lead to data loss or application errors. Option C, while technically feasible, is less conventional and might not be as easily managed as a setup script for schema changes. Option E is incorrect and impossible; you cannot directly modify an existing application package that has been released. A new version must be created.

NEW QUESTION # 115
You are developing a Snowflake Native Application that utilizes Snowpark Container Services to perform complex image processing. The application needs to securely access data stored in the consumer's Snowflake account, specifically a table named 'USER IMAGES' in the schema 'RAW DATA'. The container image is built and pushed to Snowflake's internal registry. Which of the following steps are necessary to ensure the container service can access this data securely and efficiently within the consumer's account without exposing credentials directly in the container environment?

A. Create a Snowflake network rule that allows access to all Snowflake internal IPs. Associate this rule with the container service's network policy.
B. Create a Snowflake database role, grant SELECT privileges on ' to this role, and then assign this role to the service account used by the container service through an entitlement.
C. Grant the SNOWFLAKE CONTAINER SERVICE role to the account administrator and use the administrator's credentials within the container service's code.
D. Create a Snowflake service account and grant it SELECT privileges on the 'RAW DATA.USER IMAGES table. Store the service account's credentials as environment variables within the container service's specification.
E. Configure a Snowflake OAuth integration and associate it with the container service. The container application would then use the OAuth client credentials to obtain an access token and authenticate with Snowflake.

Answer: B

Explanation:
The most secure and efficient way to grant access is to use database roles and entitlements. Creating a database role with the required privileges, assigning it to the service account of the container service through an entitlement provided to consumer is the recommended approach. This avoids storing credentials directly and provides fine-grained access control. Using SNOWFLAKE_CONTAINER_SERVICE role is too broad and admin credentials should never be used directly in the code. Storing service account credentials in environment variables is insecure. OAuth is not directly used for container services accessing data within the consumer's account in this manner; entitlements offer a more streamlined and secure approach. Network Rules control egress traffic, not access to Snowflake data within the account.

NEW QUESTION # 116
You are designing a Snowflake Native Application that needs to store temporary data for processing, which should be cleaned up when the application is uninstalled from the consumer account. Which of the following options would be the MOST appropriate and secure way to manage this temporary data?

A. Create an external stage linked to cloud storage. Store temporary data in cloud storage and implement cleanup logic using an uninstall script.
B. Create a temporary stage and use it to persist data. Use a SQL statement in your uninstall script to remove the data from the stage when the application is uninstalled.
C. Create a table with a retention period in the application database using the APPLICATION role. Configure the retention period to be very short (e.g., 1 day).
D. Create a schema named 'temp' in the application database using the APPLICATION role. The application setup script will create temporary tables inside this schema. Use an uninstall script to drop the entire schema upon uninstall.
E. Create a temporary table in the application database using the APPLICATION role. The application is responsible for dropping the table when uninstalled.

Answer: D

Explanation:
Creating a dedicated schema for temporary tables and dropping the entire schema in the uninstall script is the most secure and reliable way to manage temporary data. Using the APPLICATION role ensures that only the application can access and manage these tables. This approach guarantees that all temporary data is cleaned up when the application is uninstalled, without relying on external mechanisms or application logic running after uninstall.

NEW QUESTION # 117
You are managing the release of a new version (v2.0) of your Snowflake Native Application that introduces significant schema changes to shared tables accessed by consumer accounts. To minimize disruption during the upgrade, you want to implement a phased rollout while ensuring backward compatibility for consumers who haven't yet upgraded. Which of the following strategies would allow you to achieve this goal effectively? (Select TWO)

A. Use dynamic SQL within stored procedures to conditionally access either the old or new schema based on the consumer's account ID, identified through a custom configuration table.
B. Create separate versions of the shared tables for vl .0 and v2.0, using views to present a unified interface. Grant consumer 'USAGE on view after upgrading.
C. Create views on top of the new schema in v2.0 that emulate the old schema from vl .0. Grant consumers 'USAGE' on these views until they upgrade.
D. Publish v2.0 without any schema changes and rely on consumers to manually migrate their data to new tables after upgrading.
E. Implement API versioning within your application code and provide compatibility layers to handle requests from consumers running older versions.

Answer: C,E

Explanation:
Options A and D are both viable strategies. Creating views on top of the new schema that emulate the old schema provides backward compatibility by maintaining the expected data structure for consumers who have not yet upgraded. Implementing API versioning within the application code allows you to handle requests from consumers running older versions, ensuring that their existing integrations continue to function. Option B introduces unnecessary complexity and performance overhead with dynamic SQL. Option C relies on manual data migration by consumers, which is prone to errors and delays. Option E doubles the storage requirements by creating separate table copies.

NEW QUESTION # 118
You are developing a Snowflake Native Application. During internal testing, you need to simulate different consumer account environments to validate the application's behavior under various conditions (e.g., different Snowflake editions, security configurations). What are the recommended methods for setting up these test environments WITHIN the constraints of the Snowflake Native App framework?

A. Develop a configuration file within the application that allows you to simulate different consumer environments. Implement logic in the application code to adapt to these simulated environments.
B. Create multiple Snowflake accounts, each representing a different consumer environment, and install the application in each account.
C. Utilize Snowflake's Resource Monitors to limit the resources available to the application, simulating a consumer environment with limited compute.
D. Use Snowflake's cloning capabilities to create multiple clones of your developer account, each with different configurations, and install the application in each clone.
E. Employ multiple developer accounts with different configurations to simulate consumer environments, package your application from each account and test it. Additionally, use parameters within the setup script to configure application behavior.

Answer: A,E

Explanation:
While creating multiple Snowflake accounts (Option A) is a valid approach, it can be resource-intensive. Option C & E (Employ configuration files within the application and Multiple Developer Accounts) is the MOST practical within the Snowflake Native App framework. By developing configuration files and multiple developer accounts and their setups, the application can adapt its behavior to simulate different consumer environments without the overhead of managing multiple full Snowflake accounts. Using parameters during installation also adds flexibility.

NEW QUESTION # 119
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