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| Section | Weight | Objectives |
|---|
| Snowflake Native App Framework Overview | 20% | - Understand Snowflake architecture, features, tools, and best practices
- 1. Cloud-based computing and storage concepts
- 2. Account security and access management
- 3. Data sharing and protection mechanisms
|
| Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
- 1. Use Snowflake's marketplace
- 2. Use data sharing for app interoperability
|
| Snowflake Native Applications Installation and Testing | 20% | - Install and test native applications
- 1. Validate application functionality and performance
|
| 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
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q22-Q27):
NEW QUESTION # 22
You are developing a Native App on Snowflake that needs to interact with an external REST API. To ensure proper security, you want to store the API key securely within the application package and use it for authentication. Which of the following is the MOST secure and RECOMMENDED method to accomplish this?
- A. Create a key-pair stored procedure. Storing the API key as a secret, then decrypting the key during each API call.
- B. Store the API key as a secret using Snowflake's Secret Management feature and reference it within a secure UDE
- C. Hardcode the API key directly into the application code within a UDF (User-Defined Function).
- D. Store the API key in a secure stage with encryption and grant SELECT privilege to the application role.
- E. Store the API key in a table within the application database with minimal access control, relying on Snowflake's data encryption at rest.
Answer: B
Explanation:
Snowflake's Secret Management offers the most secure way to store and manage sensitive information like API keys. It allows you to store secrets securely and reference them within UDFs, preventing direct exposure. Options A, B and D introduce security risks by storing the API key in less secure ways or directly in code. Option E introduces unnessary complexity.
NEW QUESTION # 23
You are tasked with creating a new version (2.0) of a Snowflake Native Application. This new version introduces significant schema changes and requires data migration from the old schema in version 1.0 to the new schem a. You need to write the 'setup.sqr script for version 2.0. Which of the following steps or considerations are MOST critical to ensure a smooth and successful upgrade for existing customers? (Select TWO)
- A. Use external stages for data backup, and leverage Snowflake Data Sharing to provide access to the older version data for consumers after upgrade.
- B. Include only the schema changes in 'setup.sql' without any data migration logic. Assume users will manually migrate the data.
- C. Before applying schema changes, backup the existing data using 'CREATE TABLE AS SELECT to safeguard against data loss during the upgrade process.
- D. Use 'setup.sqr to perform a direct 'INSERT INTO ... SELECT FROM operation to move data from the old tables to the new tables after the new tables are created.
- E. Implement robust error handling and logging within the 'setup.sqr script to capture any issues during schema migration or data transfer.
Answer: C,E
Explanation:
Options C and D are critical for a smooth and successful upgrade. Option C: Backing up the data before making any changes is a crucial safeguard against data loss during the upgrade process. The 'CREATE TABLE AS SELECT command provides an easy way to create a backup of the data before schema modifications. Option D: Implementing robust error handling and logging is essential to monitor the upgrade process and identify any potential issues during schema migration or data transfer. This allows for quick intervention and troubleshooting, minimizing downtime and ensuring data integrity. Option A is incorrect because relying on manual data migration is impractical and error-prone for users. Option B might work for simple data migrations, but it lacks error handling and rollback capabilities. Option E is good practice from security perspective.
NEW QUESTION # 24
You are developing a Snowflake Native Application that needs to access data residing in the consumer's account. The application requires specific permissions to read certain tables and execute specific functions. How should you define and manage these access privileges to ensure both security and functionality?
- A. Use the 'GRANT OWNERSHIP' command to transfer ownership of the required tables and functions to the application's service account. This gives the application full control over these resources.
- B. Create a new database role and grant the required permissions to the database role, later grant the database role to the application role. Use secure views for access to consumer data.
- C. Grant the 'ACCOUNTADMIN' role to the application. This provides unrestricted access to all resources in the consumer's account, simplifying development and deployment.
- D. Rely on the consumer to manually grant the necessary privileges to the application's service account after installation. Provide clear instructions in the application's documentation.
- E. Define a custom role within the application package with the minimum required privileges (e.g., 'SELECT on specific tables, 'USAGE on specific functions). The consumer then grants this role to the application during installation. Use secure views if needed.
Answer: B,E
Explanation:
Options B and E are the most secure and maintainable approaches. Option B follows the principle of least privilege. Option E will add another layer of security. Option A is a very bad practice. Option C is also incorrect, transferring ownership is not a good idea. Option D makes the configuration prone to manual errors.
NEW QUESTION # 25
You are developing a Snowflake Native Application that requires maintaining multiple live versions for different customer segments. Some customers need to stay on an older version for compatibility reasons, while new customers should use the latest version. How can you best manage these different versions using Snowflake Native App features?
- A. By using streams and tasks to replicate data and logic between different versions of the application, ensuring data consistency.
- B. By creating separate Snowflake accounts for each customer segment, each with a different version of the application installed.
- C. By implementing a custom versioning system within the application's stored procedures and functions, relying on consumer-provided parameters to determine which version of the logic to execute.
- D. By leveraging the 'APPLICATION ROLE to control access to different versions using conditional logic within the application code.
- E. By creating separate application packages for each version and managing them independently, allowing consumers to choose which version to install. The 'APPLICATION ROLE is used to define application-level access.
Answer: E
Explanation:
The correct answer is (C). Snowflake Native Apps allow you to create separate application packages for each version. Consumers can then choose the version that best suits their needs. Using the 'APPLICATION ROLE allows for controlling access to different resources within the application, ensuring proper data governance and security. Options A, D, and E are less efficient or not directly supported by the Snowflake Native App framework. Option B is partially correct that you can leverage application role but version control is through separate application packages.
NEW QUESTION # 26
You are designing a Snowflake Native Application that requires fine-grained access control to its data within the consumer account. You want to ensure that consumers can only access data relevant to their specific department. Which of the following Snowflake features, when combined, offer the MOST secure and flexible solution for implementing this requirement within the context of a Snowflake Native Application ?
- A. Views and Stored Procedures with Caller's Rights.
- B. User-Defined Functions (UDFs) and Row Access Policies.
- C. Row Access Policies and Secure Views with Caller's Rights.
- D. External Tables and Secure Views with Owner's Rights.
- E. Dynamic Data Masking policies and Views with Caller's Rights.
Answer: C
Explanation:
The best combination is Row Access Policies and Secure Views with Caller's Rights. Row Access Policies: Allow you to filter data based on the user accessing it, ensuring they only see data relevant to their department. Policies are applied to tables. Secure Views with Caller's Rights: Allow you to encapsulate the data access logic, ensuring that the row access policies are always enforced, and that consumers cannot bypass them. Caller's rights are essential here, as the access control decisions need to be made based on who is using the view. The other options are less suitable: A: Views and Stored Procedures can enforce access, but without Row Access Policies, they're less secure. B: UDFs can manipulate data but don't inherently enforce row-level security like Row Access Policies. C: External Tables are for data outside Snowflake; Owner's Rights are less secure than Caller's Rights in this scenario. E: Dynamic Data Masking hides data, it doesn't filter it, so it won't restrict access to specific rows.
NEW QUESTION # 27
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