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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. Data sharing and protection mechanisms
- 3. Account security and access management
|
| Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
- 1. Use data sharing for app interoperability
- 2. Use Snowflake's marketplace
|
| 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% | - 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. Build, distribute, and monetize apps in Snowflake
- 2. Design scalable applications
|
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Quiz Snowflake - Useful Official NAS-C01 Practice Test
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q210-Q215):
NEW QUESTION # 210
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. Store sensitive customer data directly within the application package to avoid external access.
- B. Implement data masking policies to redact sensitive information before it's accessed by the application.
- 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. Create specific roles with granular access privileges (e.g., 'SELECT on specific columns) and grant these roles to the application's managed service account.
Answer: B,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 # 211
You are developing a Snowflake Native Application that leverages user-defined functions (UDFs) and stored procedures. During the security scanning process before listing on the Snowflake Marketplace, you encounter a 'Failed to Detect Secrets' error. After investigation, you determine that the error stems from hardcoded API keys within a Python UDF that are being used to interact with a third-party service. Which of the following strategies would be MOST effective and secure to resolve this issue and pass the security scan?
- A. Store the API keys in a separate, secured table within the application's data container and access them dynamically within the Python UDF using SQL queries.
- B. Encrypt the API keys within the Python UDF using a symmetric encryption algorithm and store the encryption key in a secure string within the application package.
- C. Obfuscate the API keys within the Python UDF using a string manipulation technique. This will make it harder for unauthorized users to discover the keys.
- D. Remove the Python UDF entirely and rewrite the logic in SQL stored procedures. Store the API keys as environment variables within the stored procedure's definition.
- E. Replace the hardcoded API keys with references to Snowflake secrets and grant the necessary privileges to the application role. Access the secrets within the UDF using the 'SYSTEM$GET SECRET function.
Answer: E
Explanation:
Snowflake Secrets are the recommended and most secure way to handle sensitive information like API keys. Using 'SYSTEM$GET_SECRET allows you to retrieve the secrets at runtime without hardcoding them in the application code. Options A and C provide weak security and are easily compromised. Option D may not be feasible depending on the complexity of the UDF. Option E introduces complexities in data access and security management.
NEW QUESTION # 212
A Native App provider has created an application package and wants to control the versions of the application available to different consumers. They need to ensure that a specific consumer account, 'CUSTOMER R, only has access to version '1.0' of the application. Which of the following steps are necessary to achieve this?
- A. Specify the version '1.0' when creating the share object for 'CUSTOMER_A'.
- B. No specific steps are required. By default, consumers will automatically receive the latest version of the application.
- C. Create a new application package specifically for 'CUSTOMER A' and only include version '1.0' in that package.
- D. The provider must first create a new version of the application package containing only version 1 .C , and then create an authorization grant for the role to CUSTOMER A that includes version '1.0'
- E. When creating the authorization grant for for the APPLICATION ROLE, specify VERSION = '1.01.
Answer: E
Explanation:
The correct approach is to specify the VERSION parameter within the CREATE AUTHORIZATION GRANT statement. This allows the provider to control which version of the application a specific consumer is authorized to use. Creating separate packages or shares is not the intended mechanism for version control within the Native App Framework. It's important to grant authorization to application roles.
NEW QUESTION # 213
You are developing a Snowflake Native App that requires granular access control to its underlying data for consumer accounts. You want to implement a secure pattern that limits direct access to the data while allowing specific operations through your app's procedures. Which of the following approaches represent the MOST secure and recommended practices regarding access control in the setup script, assuming you also want to grant USAGE on future schema?
- A. Creating secure views on top of the underlying tables and granting SELECT privilege on these views to the consumer's role, while ensuring consumers can only access the exposed view.

- B. Granting OWNERSHIP on the app's data schema to the consumer's role, allowing them full control over the data.

- C. Granting SELECT privilege directly on the underlying tables in the app's data schema to the consumer's role.

- D. Creating stored procedures with the 'EXECUTE AS OWNER privilege and granting USAGE on the schema to the consumer's role. The stored procedures handle all data access logic.

- E. Creating stored procedures with the 'EXECUTE AS CALLER privilege and granting USAGE on the schema to the consumer's role. The stored procedures handle all data access logic.

Answer: D,E
Explanation:
Granting SELECT directly is insecure (A). Secure views provide some abstraction but still allow direct SELECT (B). Granting OWNERSHIP gives excessive privileges (D). Stored procedures with EXECUTE AS OWNER or 'EXECUTE AS CALLER , combined with limited schema privileges, offer the best control and security. 'EXECUTE AS OWNER' allows the procedure to run with the privileges of the app itself, bypassing consumer privileges, and 'EXECUTE AS CALLER' uses consumer's priviledges, but still contains the data logic. Both combined, gives the best secure and recommended access control.
NEW QUESTION # 214
You have developed a Snowflake Native Application that utilizes a Python UDF to perform sentiment analysis on customer reviews. During consumer testing, you notice that the application is throwing 'ModuleNotFoundError: No module named 'transformers" errors on the consumer's account, even though the 'transformers' library is included in your application's packages directory. Select the two options that best address this issue:
- A. Confirm that the application is built using a compatible Python version (e.g., 3.8) with the consumer's environment, and that the 'PYTHON_VERSION' property in the 'manifest.ymr file is set accordingly. Additionally, regenerate the package directory with all dependencies using 'conda' instead of 'pip'.
- B. In the UDF code, explicitly add the application's packages directory to the Python path using 'sys.path.append('/app/packages')' before importing the 'transformers' library. Also, bundle the 'transformers' package along with its dependencies into a single zip file and upload it to an internal stage.
- C. Ensure the 'transformers' library is explicitly listed in the 'manifest.ymr file under the 'packages' section and that the application's setup script correctly installs the package using 'pip install transformers.
- D. Check if the consumer account has any conflicting Python packages installed that might be shadowing the 'transformers library. Use the 'SHOW PACKAGES' command in Snowflake to list installed packages and their versions on the consumer account.
- E. Verify that the application role has sufficient privileges (USAGE) on the 'transformers' library and that the consumer account's security policies allow access to external packages. The consumer account must explicitly allow the usage of external packages in their account-level security settings.
Answer: B,C
Explanation:
Option A ensures the 'transformers' library is correctly declared in the manifest and installed during the application deployment process. Option C explicitly adds the application's packages directory to the Python path, ensuring the UDF can find the installed module at runtime. These two steps together guarantee that the library is available and discoverable by the Python UDF within the consumer's environment. Option B is incorrect because the correct application creation and upload ensure the correct role and required permissions on the resources. Options D and E might provide additional insight into specific compatibility issues; however, they won't fix the problem on their own without also correctly declaring the dependencies.
NEW QUESTION # 215
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