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| Section | Weight | Objectives |
|---|
| Snowflake Native App Framework Overview | 20% | - Understand Snowflake architecture, features, tools, and best practices
- 1. Account security and access management
- 2. Cloud-based computing and storage concepts
- 3. Data sharing and protection mechanisms
|
| Snowflake Native Applications Design and Creation | 35% | - Create and manage billing events and cost monitoring techniques
- 1. Formulate Snowflake native application workflows and procedures
- Apply Snowflake best practices while building native application workloads
- 1. Design scalable applications
- 2. Build, distribute, and monetize apps in Snowflake
|
| Snowflake Native Applications Installation and Testing | 20% | - Install and test native applications
- 1. Validate application functionality and performance
|
| Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
- 1. Use data sharing for app interoperability
- 2. Use Snowflake's marketplace
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q162-Q167):
NEW QUESTION # 162
You are publishing a Snowflake Native Application to the Marketplace. You've completed initial testing, and the application appears to function as expected. However, the security scan consistently fails with a 'Data Exfiltration' error. The application includes a stored procedure that aggregates data from several tables within the application container and writes the results to an external stage using the 'COPY INTO' command. Review the following code snippet:

Which of the following changes is MOST likely to resolve the 'Data Exfiltration' error during the security scan?
- A. Remove the 'GRANT EXECUTE privilege on the 'export_data' procedure from the 'app_public' role.
- B. Require the consumer to explicitly grant the application usage privilege on a secure external stage controlled by the consumer, and modify the procedure to validate the stage's existence and permissions before exporting data.
- C. Implement row-level security policies on the 'aggregated_data' table to restrict access to sensitive rows.
- D. Modify the stored procedure to only export data to a table within the application container instead of an external stage.
- E. Encrypt the data written to the external stage using client-side encryption with a key managed by the application provider.
Answer: B
Explanation:
The 'Data Exfiltration' error indicates a potential risk of unauthorized data leaving the consumer's Snowflake environment. The root cause is often that the application provider has unrestricted control over where the data is exported. The solution is to require the consumer to control the external stage and explicitly grant the application usage privilege on it. This ensures that the consumer is aware of and approves the data export. Option A would break the functionality. Option B addresses data access within the container but doesn't prevent exfiltration if the application can still write to an uncontrolled stage. Option D adds complexity but doesn't fundamentally address the control issue. Option E restricts functionality unnecessarily.
NEW QUESTION # 163
You are designing a Snowflake Native App that interacts with sensitive customer dat a. You need to ensure that the application only accesses the data it absolutely needs and adheres to the principle of least privilege. Which of the following strategies are crucial for maintaining data security within your application?
- A. Create specific roles with granular access privileges (e.g., 'SELECT on specific columns) and grant these roles to the application's managed service account.
- B. Store sensitive customer data directly within the application package to avoid external access.
- C. Utilize Snowflake's secure UDFs with invoker's rights to perform data transformations and access control based on the user's role.
- D. Grant the application role the 'OWNERSHIP' privilege on all tables containing customer data.
- E. Implement data masking policies to redact sensitive information before it's accessed by the application.
Answer: A,C,E
Explanation:
Options B, C, and E are essential for data security. Granting granular privileges (B) minimizes the attack surface. Data masking (C) prevents direct exposure of sensitive information. Secure UDFs with invoker's rights (E) enforce access control at the function level. Option A grants excessive privileges. Option D is an anti-pattern, as application packages should not store persistent data.
NEW QUESTION # 164
Consider the following SQL code snippet within a Snowflake Native Application:
- A. The statement will execute successfully, returning the session ID of the current session in which the stored procedure is running, provided the Native App has the 'READ SESSION' privilege (implicitly or explicitly).
- B. The statement will execute successfully, returning the session ID of the current session in which the stored procedure is running, provided the caller has USAGE privilege on the database.
- C. The statement will fail because the READ SESSION' privilege is not automatically granted to stored procedures. You must explicitly grant the privilege to the stored procedure's owner.
- D. The statement will execute successfully, but the 'session_id' will always be null as the 'READ SESSION' privilege does not apply within stored procedures.
- E. The statement will execute successfully, returning the session ID of the user who installed the Native Application.
Answer: A
Explanation:
The ' READ SESSION' privilege, if granted to the Native App (either implicitly or explicitly, depending on how it's managed within the app package), allows access to session-related information within the app's context. The session ID will correspond to the current execution context of the stored procedure. Options A and B are incorrect because 'READ SESSIONS does apply within stored procedures if properly authorized. Option C is incorrect as Native app will work on their own context, not the end user context and Option D incorrect as only app owner can use this privilege.
NEW QUESTION # 165
A Snowflake Native Application provider is deploying their application in multiple regions (AWS US-East-l and AWS EU-Central-l). The application relies on external functions that interact with a third-party API. The provider wants to optimize for both latency and cost while ensuring high availability. Which of the following strategies represents the MOST effective approach for configuring and deploying these external functions to meet these requirements? Select two.
- A. Utilize Snowflake's cross-region replication feature to automatically replicate the external functions between regions. This ensures that the functions are always available in both regions.
- B. Configure a global load balancer in front of the third-party API endpoints and point all external functions to the load balancer's endpoint. This allows the load balancer to route requests to the closest available API endpoint.
- C. Create a single external function that uses a conditional statement to route requests to different API endpoints based on the Snowflake region where the function is being called. This approach reduces management overhead.
- D. Deploy separate external functions in each region, pointing to API endpoints hosted in the respective regions. Configure each external function with the same security integration to simplify access management.
- E. Host the external function code directly within the Snowflake application package and leverage Snowflake's serverless compute to execute the function logic without relying on external APIs.
Answer: B,D
Explanation:
Options B and D are the most effective. Deploying separate external functions in each region (B) allows for regional optimization, reducing latency by calling API endpoints hosted in the same region. Configuring the same security integration simplifies access management. Using a global load balancer (D) adds another layer of resilience and allows for dynamic routing to the closest available API endpoint, improving availability and potentially reducing costs. Option A could introduce latency due to conditional logic and potentially suboptimal routing. Option C is not applicable as external functions are not replicated by Snowflake replication. E cannot be hosted directly to the Snowflake application package
NEW QUESTION # 166
You are tasked with publishing a Snowflake Native Application to the Snowflake Marketplace. Your application relies on specific external packages available through Anacond a. You've already built your application and are preparing to create the listing. Which steps are NECESSARY to ensure that consumer accounts can successfully install and use your application, considering external package dependencies?
- A. Explicitly import all required external packages within the application's setup script using 'import
- B. Distribute the packages directly as part of the application code. This avoids external dependencies.
- C. When creating the Snowflake Marketplace listing, specify the required external packages under the 'External Packages' section using the fully qualified package name (e.g., 'snowflake.ml.modeling').
- D. Consumers are automatically prompted to install any missing external packages upon installing the application; no specific action is required during listing creation.
- E. Include a 'requirements.txt file within your application package listing all required Python packages and their versions.
Answer: C
Explanation:
Option C is correct. The Snowflake Marketplace listing requires you to explicitly declare the external packages your application depends on in the 'External Packages' section. This allows Snowflake to automatically handle the package installation in the consumer's account. Options A and B are relevant during application development, not listing creation. Option D is not scalable for commonly used packages. Option E is incorrect because consumer intervention may be necessary but Snowflake must be aware of dependencies to guide them.
NEW QUESTION # 167
......
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