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| Section | Weight | Objectives |
|---|
| Topic 1: Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
- 1. Use Snowflake's marketplace
- 2. Use data sharing for app interoperability
|
| Topic 2: Snowflake Native Applications Design and Creation | 35% | - Apply Snowflake best practices while building native application workloads
- 1. Build, distribute, and monetize apps in Snowflake
- 2. Design scalable applications
- Create and manage billing events and cost monitoring techniques
- 1. Formulate Snowflake native application workflows and procedures
|
| Topic 3: Snowflake Native Applications Installation and Testing | 20% | - Install and test native applications
- 1. Validate application functionality and performance
|
| Topic 4: Snowflake Native App Framework Overview | 20% | - Understand Snowflake architecture, features, tools, and best practices
- 1. Account security and access management
- 2. Data sharing and protection mechanisms
- 3. Cloud-based computing and storage concepts
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q214-Q219):
NEW QUESTION # 214
You are developing a Snowflake Native App that needs to access a secured external API to enrich customer dat a. The API requires an OAuth 2.0 token stored securely. Which of the following approaches would you use within the application manifest and Snowflake objects to securely store and access this token, minimizing exposure and adhering to best practices?
- A. Use Snowflake's SECRET object type to securely store the OAuth 2.0 token. Reference the SECRET object within the application using PARAMETERS in the manifest and utilize function in application code to retrieve it at runtime.
- B. Store the OAuth 2.0 token as a cleartext secret in a Snowflake stage and access it using external functions.

- C. Store the OAuth 2.0 token as a masked comment within the application's SQL code. This will provide sufficient obfuscation.
- D. Store the OAuth 2.0 token directly in the application's manifest file as a PARAMETER. This simplifies access within the application code.
- E. Hardcode the OAuth 2.0 token within the application's stored procedures. This ensures the token is readily available.
Answer: A
Explanation:
Storing secrets like OAuth tokens directly in the manifest or hardcoding them is a significant security risk. Using Snowflake SECRET objects is the recommended approach for securely managing sensitive information. The 'SYSTEM$GET SECRET function provides a secure way to retrieve the secret at runtime without exposing it in the code or manifest. Snowflake stages shouldn't be used to store secrets in clear text.
NEW QUESTION # 215
You are developing a Snowflake Native Application that utilizes Snowpark Container Services (SPCS). Your application requires a Compute Pool configured with autoscaling capabilities to handle fluctuating workloads. However, you want to minimize costs when the application is idle. Which of the following considerations are MOST important when defining the 'MIN NODES' and 'MAX NODES' parameters for your Compute Pool, along with the 'AUTO RESUME setting?
- A. Compute Pool autoscaling is managed entirely by the underlying container orchestration system and Snowflake only provides basic resource allocation. The 'MIN NODES' and 'MAX NODES parameters are advisory only.
- B. Setting to 0 allows the Compute Pool to scale down completely when idle, eliminating costs. 'AUTO_RESUME should be set to TRUE to automatically start the pool when a new request is received.
- C. The optimal configuration depends on the balance between cost and performance. A higher 'MIN_NODES' value provides faster initial response times but incurs higher costs when idle. 'AUTO RESUME should be set to TRUE if you want the pool to automatically restart based on incoming requests.
- D. Setting to a non-zero value ensures that some resources are always available, leading to faster response times for initial requests. 'AUTO RESUME' should be set to FALSE to prevent unnecessary resource usage.
- E. The 'AUTO_RESUME parameter is irrelevant as the compute pool automatically scales based on current workload. should be set to the expected average workload.
Answer: B,C
Explanation:
Setting to 0 allows the pool to scale down completely, saving costs when idle. 'AUTO_RESUME' is crucial for automatically restarting the pool when needed. The optimal balance depends on specific application needs; a higher 'MIN NODES' improves initial response time but increases idle costs. Therefore, understanding this trade-off is crucial. AUTO RESUME is important for native application. MIN_NODES controls costs and response time.
NEW QUESTION # 216
You are designing a Snowflake Native Application that processes customer dat a. To comply with data residency requirements, you need to ensure that the application logic runs within the customer's Snowflake account, but the application code is owned and managed by your organization. Which of the following approaches BEST achieves this requirement while providing version control and updates?
- A. Create a Docker container containing the application logic and deploy it as a Snowflake External Function. Share the container image with customers and instruct them to deploy it in their environment.
- B. Develop the application using Snowflake's Snowpark API and package the compiled code within the application package. The setup script will execute the Snowpark code within the customer's Snowflake account.
- C. Embedd the raw application code directly into the SETUP script so that it gets re-deployed on every run.
- D. Use Snowflake's Data Sharing feature to directly share the database and schema containing the application logic with customers. Grant them ownership of these objects.
- E. Build the application logic as a set of stored procedures and UDFs within the application package. Provide a setup script that creates these objects in the customer's account during installation.
Answer: B,E
Explanation:
Options A and C are correct. Creating stored procedures and UDFs within the application package, along with a setup script, allows you to deploy the application logic to the customer's account while retaining ownership of the application package. Option C allows you to use Snowpark to write complex logic that can execute within the secure Snowflake environment. Option B is not ideal because it involves managing Docker containers outside of Snowflake. Option D violates the requirement to retain ownership of the application logic and potentially exposes sensitive data, and it also doesn't lend itself to easy version control for application code. Option E is incorrect, because the raw application code can get exposed during the process.
NEW QUESTION # 217
You are developing a Snowflake Native Application that uses Snowpark Container Services. Your application consists of multiple containerized services that require varying levels of computational resources. You want to optimize resource utilization and minimize costs by using a single Compute Pool for all services, while ensuring that each service has guaranteed access to resources. Which of the following strategies and SQL commands (or configurations) can be used to achieve this?
- A. Use a single Compute Pool and rely on the container orchestration system to dynamically allocate resources among the services. Monitor utilization and adjust the Compute Pool size as needed. No SQL commands are needed.
- B. Use a single Compute Pool, create separate user-defined functions (UDFs) for each service and control resource allocation using the 'RESOURCE MONITOR parameter for each UDF.
- C. Create a resource monitor and assign it to the COMPUTE POOL to manage cost. Resource monitors cannot be used to granular control the compute pool usage for native applications.
- D. Create a single Compute Pool and configure resource quotas for each service using container orchestration-specific configurations (e.g., Kubernetes resource quotas). While not directly managed via SQL, proper configuration of the container orchestrator is required.
- E. Create separate Compute Pools for each service, sizing each pool according to the service's peak resource requirements.
Answer: A,D
Explanation:
Option B is valid because the underlying container orchestration system dynamically allocates resources. Option C is also valid because resources can be configured in container orchestration systems to achieve resource guarantees for each service. Creating separate compute pools may be costly and inefficient in terms of resource management. Resource Monitors are for cost control not fine-grained service-level resource management. It provides control to monitor cost. The correct configuration of the container orchestrator is critical to achieve desired outcomes.
NEW QUESTION # 218
A data analytics company, 'Data Insights Pro', develops a Snowflake Native Application that provides advanced data visualizations. They want to publish this application on the Snowflake Marketplace as a public listing. Which of the following steps are required in addition to the standard application creation and packaging, specifically focusing on the public listing aspects? Assume the necessary roles and privileges are already granted.
- A. Define a pricing model using Snowflake's monetization features and configure the listing visibility to 'Public'.
- B. Submit the application package to Snowflake for security and compliance review before making it available on the Marketplace.
- C. Implement robust application usage monitoring and metering to ensure accurate billing if a commercial model is used.
- D. Ensure that the application is compatible with all Snowflake regions before publishing to a public listing.
- E. Create a detailed listing description, including features, benefits, and example use cases, and define the support channels.
Answer: A,B,E
Explanation:
Publishing a Snowflake Native Application to the public Marketplace requires several key steps beyond basic application development. Defining a pricing model and setting visibility to 'Public' (A) are crucial for a commercial app. Submitting the package for review (C) is mandatory for public listings to ensure security and compliance. A detailed listing description (D) improves discoverability and user understanding. While monitoring (B) is recommended, and region compatibility (E) is ideal, they aren't strictly required steps specifically for the public listing itself, although Snowflake's listing process will likely have checks related to this.
NEW QUESTION # 219
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