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| Section | Weight | Objectives |
|---|---|---|
| Installation, Testing and Troubleshooting | 20% | - Validation and debugging
|
| Snowflake Native App Framework Overview | 20% | - Native application concepts and architecture
|
| Deployment and Marketplace Publishing | 25% | - Distribution and lifecycle management
|
| Native Application Design and Creation | 35% | - Application development workflow
|
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NEW QUESTION # 196
You are developing a Snowflake Native Application that processes customer dat a. To comply with data residency requirements, you need to ensure the application processes data within the customer's Snowflake account. The application logic resides in a Snowpark Python stored procedure. During development, you test this procedure using the 'CALL' command. However, after installing the application in a customer's account, the procedure fails with a 'privilege insufficient' error. What are the MOST likely reasons for this and how can you rectify them within the package definition?
Answer: B,E
Explanation:
When a Snowflake Native Application runs in a customer's account, it operates under the security context of an application role defined within the application package. The 'privilege insufficient error suggests the application role lacks the necessary permissions to execute the stored procedure or access underlying data. Option A correctly identifies the need for the EXECUTE MANAGED ACCOUNT privilege for stored procedures. Option B highlights the importance of granting specific data access privileges to the application role on the customer's data sources. Option C is incorrect because the procedure owner doesn't need to be changed for correct application working. Option D pertains to access to external networks, not internal privileges. Option E is incorrect because imported privileges are not required to execute stored procedure.
NEW QUESTION # 197
Which of the following statements regarding warehouse sizing and configuration for a Snowflake Native Application are true?
Answer: B,C
Explanation:
Warehouse size can be changed after creation using 'ALTER WAREHOUSE statement. A larger warehouse is not always faster; it depends on the query's design and data volume. The 'AUTO SUSPEND' parameter is crucial for cost control as it determines the idle time before automatic suspension. While Snowflake has virtual warehouses, the ' WAREHOUSE_TYPE parameter doesn't exist. 'MAX CONCURRENCY LEVEL' is essential for managing concurrent queries and preventing resource contention, improving overall application performance.
NEW QUESTION # 198
You are developing a Snowflake Native Application using Snowpark Container Services. The application needs to access sensitive data stored in an internal stage, but you want to ensure that only the application's container service can access this stage and no other users or processes. How can you achieve this using network policies and ingress/egress rules?
Answer: C
Explanation:
Option A provides no security. Option B relies on Snowflake's region IP addresses, which are not guaranteed and may change. Option C focuses on outbound traffic from the container service but doesn't properly restrict inbound access. Option D restricts outbound traffic unnecessarily and doesn't address inbound security. Option E is the MOST secure. It uses ingress and egress rules to control both inbound and outbound traffic for the container service and grants the necessary privileges to the service account. Ingress rule to specify the allowed inbound connection, and egress rule to only allow connection to snowflake's internal endpoint for stage access. This prevents other processes/users from accessing the stage.
NEW QUESTION # 199
You are deploying a Snowflake Native Application that utilizes a UDF (User-Defined Function) to perform complex data transformations. The UDF is written in Python and depends on several external packages. You need to ensure that the consumer of your application can seamlessly install and use the UDF without encountering dependency conflicts or versioning issues. How should you manage the UDF and its dependencies during the deployment process, considering Snowflake's Native App framework?
Answer: C
Explanation:
The Snowflake Native Apps framework is designed to handle dependency management automatically. Option D is the correct answer. The framework ensures that the UDF and its dependencies are packaged together and resolved seamlessly during installation, avoiding conflicts and versioning issues for the consumer. Options A, C, and E place the burden of dependency management on the consumer, which is not ideal. While B uses Anaconda packages, it's less seamless and automatic than using the Native Apps framework's built-in capabilities. This automatic dependency resolution is a key benefit of the Native Apps framework.
NEW QUESTION # 200
You are developing a Snowflake Native Application that uses a UDF to process data in the consumer's account. The UDF needs to access a specific table in the consumer's account but the UDF is running as Invoker's Rights (IR). Select all that apply to securely configure data access for this scenario using a data access framework and least privilege principles:
Answer: A,B
Explanation:
Options B and E are correct. Option B implements the data access framework with least privilege using secure views. Granting direct SELECT access (Option C) to the table to the invoker role is not recommended because it exposes the entire table and it will not work as IR UDF cannot directly access consumer data. Using external services(Option D) is an option, but not the most efficient for accessing local data. Option A won't work directly without proper data access framework as it is. Data access framework will solve this issue. Using an intermediate SP as OWNER called by the UDF as INVOKER is a valid approach.
NEW QUESTION # 201
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