Updated Snowflake NAS-C01 Exam Questions And Answer

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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
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. Design scalable applications 2. Build, distribute, and monetize apps in Snowflake - Create and manage billing events and cost monitoring techniques 1. Formulate Snowflake native application workflows and procedures
Snowflake Native App Framework Overview	20%	- Understand Snowflake architecture, features, tools, and best practices 1. Data sharing and protection mechanisms 2. Cloud-based computing and storage concepts 3. Account security and access management
Snowflake Native Applications Deployment	25%	- Build, version, and release native applications 1. Use Snowflake's marketplace 2. Use data sharing for app interoperability

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q95-Q100):

NEW QUESTION # 95
You are building a Snowflake Native Application that provides a data transformation service. You want to allow consumers to configure certain aspects of the transformation pipeline (e.g., the name of the target table, specific transformation logic). What are the recommended approach(es) to allow consumers to customize the application's behavior without directly modifying the application code?

A. Utilize Snowflake's Secure UDFs (User-Defined Functions) and allow consumers to provide their own UDFs as configuration.
B. Include default configurations within a file on the external stage, which consumers are expected to download, modify, and then upload back as a different file for the application to load.
C. Expose parameters within the setup script and stored procedures that consumers can set during application installation or execution.
D. Require consumers to fork the application's repository and modify the SQL code directly.
E. Implement a configuration table within the application's schema that consumers can update with their desired settings. The application code reads these settings at runtime.

Answer: C,E

Explanation:
Options B and D are correct. Exposing parameters in the setup script and stored procedures is a standard way to allow customization during installation and execution. A configuration table provides a flexible way for consumers to manage settings that can be read by the application. Option A is incorrect because forking the repository makes it difficult to manage updates and maintain security. Option C has security implications, as malicious code can be injected through user-defined UDFs. Option E is incorrect as the file download, modify, and upload method are complex for users to configure.

NEW QUESTION # 96
You are developing a Snowflake Native App that will be listed on the Snowflake Marketplace. The application requires a specific version of a Python library that may conflict with other libraries used by consumers. How can you ensure that your application uses the correct library version without causing conflicts in the consumer's environment?

A. Instruct consumers to manually install the required Python library version in their Snowflake environment before installing your app.
B. Rely on Snowflake's automatic dependency resolution to identify and install the correct version of the Python library in the consumer's environment.
C. Bundle the required Python library with your application package and utilize Anaconda packages support to manage dependencies, ensuring isolation from the consumer's environment.
D. Modify the consumer's 'PYTHON PATH' environment variable upon installation to include the location of your application's Python libraries.
E. Package all application logic into a single SQL UDF to avoid Python dependency issues entirely.

Answer: C

Explanation:
Bundling the required Python library within your application package and leveraging Anaconda is the recommended approach. This creates an isolated environment for your application's dependencies, preventing conflicts with other libraries in the consumer's environment. Manual installation by the consumer is inconvenient and prone to errors. Modifying the is not a supported or recommended practice. Snowflake's dependency resolution may not guarantee the correct version for all cases, especially with conflicts. Limiting to SQL UDFs might not be feasible or efficient for complex Python-based logic.

NEW QUESTION # 97
You are developing a Snowflake Native Application that processes sensitive customer dat a. You need to ensure that the application is secure and compliant with data privacy regulations. Which of the following security measures are MOST effective when designing your application package? (Select TWO)

A. Encrypt all data at rest and in transit using Snowflake's built-in encryption features.
B. Bypass Snowflake's RBAC and authentication to manage access within the application.
C. Store all sensitive data in external stages managed by the provider account to isolate it from the consumer's Snowflake environment.
D. Use obfuscation techniques on the data within the application, making it harder to be read.
E. Implement role-based access control (RBAC) to restrict access to sensitive data based on user roles within the application.

Answer: A,E

Explanation:
Encrypting data at rest and in transit (A) is crucial for protecting sensitive information. Implementing RBAC (B) ensures that only authorized users can access specific data, enhancing security and compliance. Storing data in provider-managed external stages (C) would not allow consumer access to the data via Snowflake's data sharing capabilities. Obfuscation(D) is not the strongest mechanism. Bypassing Snowflake's RBAC(E) is a security risk and should never be done.

NEW QUESTION # 98
A Native App provider wants to implement comprehensive monitoring of their application's behavior within consumer accounts. They decide to use Event Tables to capture various application events. Which of the following strategies is the MOST appropriate for designing and managing Event Tables for this purpose? Select ALL that apply.

A. Create a single, generic Event Table with a VARIANT column for event-specific data to accommodate all event types.
B. Use a centralized Event Table that is shared across all consumer accounts to simplify data aggregation and analysis.
C. Create separate Event Tables for each distinct event type, with columns tailored to the specific data associated with each event.
D. Utilize dynamic table creation based on the type of event being recorded, ensuring optimal storage and query performance for each event type. Dynamic table creation is managed programmatically.
E. Implement a data retention policy to automatically purge older events from the Event Tables, minimizing storage costs and improving query performance.

Answer: C,D,E

Explanation:
Option B is correct because creating separate Event Tables tailored to specific event types allows for better data organization, efficient querying, and optimized storage. Option D is correct because implementing a data retention policy is crucial for managing the size of Event Tables and preventing excessive storage costs. Option E is correct, using dynamic table creation based on event type optimizes both storage and query execution by having a dedicated table structure for each type of event. Option A, using a single generic table with a VARIANT column, can lead to inefficient querying and difficulties in data analysis. Option C is generally incorrect; Event Tables are typically scoped to the application instance within each consumer account for security and data isolation reasons. Sharing a centralized table across all consumer accounts would raise significant security and governance concerns.

NEW QUESTION # 99
You are developing a Snowflake Native Application that includes a Python UDE This UDF needs to interact with an external API that requires authentication using OAuth 2.0. The application package should securely manage the OAuth credentials without exposing them to the consumer account. How can you securely configure and access the OAuth credentials from within the UDF?

A. Store the OAuth credentials in a secure external storage (e.g., AWS Secrets Manager) and retrieve them using an external function.
B. Configure an OAuth integration in Snowflake and grant the UDF's role access to it, allowing the UDF to obtain tokens using 'SYSTEM$GET OAUTH TOKEN'.
C. Store the OAuth client ID and secret in environment variables within the Snowflake environment for the application.
D. Use Snowflake's secret management feature to store the OAuth client ID and secret, and access them from the UDF using 'SYSTEM$GET SECRET.
E. Store the OAuth client ID and secret directly in the UDF code as string literals.

Answer: B,D

Explanation:
Storing credentials directly in the code (A) is a major security risk. Environment variables in Snowflake (B) are not designed for sensitive credentials. Snowflake's secret management (C) provides a secure way to store and access secrets. Using an external storage with an external function (D) is a viable option but adds complexity. OAuth integration (E) allows Snowflake to handle the OAuth flow, providing secure token management. Therefore, C and E provide the most secure and manageable solutions.

NEW QUESTION # 100
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