NAS-C01 New Braindumps Questions - NAS-C01 Practice Tests

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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Installation, Testing and Troubleshooting	20%	- Validation and debugging 1. Logging and event tables 2. Tracing and troubleshooting workflows
Topic 2: Native Application Design and Creation	35%	- Application development workflow 1. Application roles and privileges 2. Building and versioning applications
Topic 3: Deployment and Marketplace Publishing	25%	- Distribution and lifecycle management 1. Version upgrades and release management 2. Marketplace listings and publishing
Topic 4: Snowflake Native App Framework Overview	20%	- Native application concepts and architecture 1. Application packages and structure 2. Manifest files and setup scripts

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NAS-C01 Practice Tests - NAS-C01 Vce Exam

The Snowflake NAS-C01 certification is a valuable credential that plays a significant role in advancing the Snowflake professional's career in the tech industry. With the SnowPro Specialty - Native Apps (NAS-C01) certification exam you can demonstrate your skills and knowledge level and get solid proof of your expertise. You can use this proof to advance your career. The Snowflake NAS-C01 Certification Exam enables you to increase job opportunities, promotes professional development, and higher salary potential, and helps you to gain a competitive edge in your job search.

Snowflake SnowPro Specialty - Native Apps Sample Questions (Q199-Q204):

NEW QUESTION # 199
You are developing a Snowflake Native Application that needs to track usage metrics within consumer accounts. Specifically, you want to log the number of times a particular function within your application is called, and also store certain operational statistics. Which of the following storage options are available to you within the application package to persist these metrics, and what are their implications?
(Select TWO)

A. Using the 'APPLICATION' schema to create persistent internal stages. Data written to these stages will persist across installations and updates.
B. Using temporary tables within the application. These tables are automatically dropped at the end of the session.
C. Leveraging external stages (e.g., AWS S3) to store the metrics. The application would need the necessary IAM roles and stage configuration.
D. Utilizing User-Defined Functions (UDFs) with external network access to push metrics to an external logging service.
E. Creating permanent tables within the application package using the 'APPLICATION' schema. These tables persist across installations and updates.

Answer: A,E

Explanation:
Options B and E are the correct choices. The 'APPLICATION' schema allows for the creation of permanent tables within the application package. These tables persist across installations and updates, making them suitable for storing usage metrics. Similarly internal stages created using the 'APPLICATION' schema will persist data across versions. Option A is incorrect as temporary tables are session-based. Option C introduces external dependencies that are not typically ideal for tightly integrated Native Apps for internal metrics. Option D involves external network calls which might be restricted and less efficient for logging internal metrics.

NEW QUESTION # 200
You are preparing to deploy a Snowflake Native Application to the Snowflake Marketplace. You have implemented versioning using the 'VERSION' clause in your setup script. Your application relies on a specific shared data source that is only available in the AWS us- west-2 region. To ensure that consumers in other regions can still install and use your application, you decide to offer different versions with region-specific logic. Which of the following approaches is the MOST effective and recommended to manage region-specific configurations and data sharing across multiple versions of your Snowflake Native Application?

A. Implement a build process that generates region-specific setup scripts based on environment variables using a CI/CD pipeline. Each version of the application will then contain the right setup script based on the target region.
B. Use the 'PATCH' clause during application deployment to selectively modify the configuration based on the target region. Deploy the same application package to all regions.
C. Create separate application packages for each region, containing region-specific configurations and data sharing setups. This ensures consumers only install the version relevant to their region.
D. Use separate schemas within the application package for each region, and configure application roles with permissions to only access schemas relevant to their region. No changes to code logic are required.
E. Implement conditional logic within the application's stored procedures to check the current region and adjust data sharing and execution accordingly using Package all configurations within a single version.

Answer: A

Explanation:
The most effective approach is to utilize a CI/CD pipeline to generate region-specific setup scripts. This allows you to manage region-specific configurations declaratively within your code repository and ensures a consistent and repeatable deployment process across all regions. Creating separate application packages (Option A) becomes difficult to manage and update. Conditional logic (Option B) can become complex and harder to maintain. PATCH (Option C) is not intended for such fundamental configuration differences. Using different schemas (Option E) does not address where the data resides, it just provides access control.

NEW QUESTION # 201
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. 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.
B. 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.
C. 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.
D. 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.
E. Embedd the raw application code directly into the SETUP script so that it gets re-deployed on every run.

Answer: A,D

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 # 202
You are developing a Snowflake Native Application that utilizes Snowpark Container Services (SPCS) for its backend processing. The application requires secure access to a specific endpoint hosted within the SPCS environment. You've defined a service in your SPCS compute pool. Which of the following SQL commands is the MOST secure and appropriate way to expose an endpoint for access from within the application's consumer environment, assuming the endpoint requires OAuth authentication?

A. CREATE SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = OAUTH;
B. ALTER SERVICE my_service ADD ENDPOINT my_endpoint WITH AUTHENTICATION TYPE = OAUTH;
C. CREATE SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = NONE;
D. BIND SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = OAUTH TO APPLICATION PACKAGE;
E. CREATE SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = SNOWFLAKE_JWT;

Answer: D

Explanation:
The 'BIND SERVICE ENDPOINT command is used specifically to expose a service endpoint for use within the application package. Importantly, it connects the endpoint to the APPLICATION PACKAGE making it accessible to consumers of the application. 'AUTHENTICATION TYPE = OAUTH' ensures that requests to the endpoint are authenticated using OAuth tokens, providing a secure mechanism for access. Creating an endpoint directly (CREATE SERVICE ENDPOINT) doesn't inherently link it to the application package, making it less controlled from a security perspective within the native app context. 'SNOWFLAKE_JWT while potentially valid, OAuth is generally better suited to external API authentication in this scenario. 'AUTHENTICATION TYPE = NONE is highly insecure and not recommended.

NEW QUESTION # 203
You are developing a Snowflake Native Application that provides data enrichment services. You want to monetize your application through the Snowflake Marketplace using a custom, usage-based pricing model. You need to track the number of API calls made by each consumer account and bill them accordingly. Which of the following steps are necessary to implement this in your application and listing configurations?

A. Implement a metering function using stored procedures, record API usage in a dedicated table within your application's container and use 'CREATE NOTIFICATION INTEGRATION' to send billing data to an external system for invoice generation.
B. Implement a metering function within your Native Application using 'snowflake.snowpark.functions.metering'. Configure your application listing with a STANDARD listing type and set a base price.
C. Implement custom code to track API calls in a table within the application package and use a scheduled task to generate billing reports manually. This report is then shared outside of Snowflake Marketplace.
D. Implement a metering function within your Native Application using 'snowflake.snowpark.functions.metering'. Configure your application listing with a CONSUMPTION listing type and define metering events based on API calls made. Set the cost per metering event.
E. Use Snowflake's data sharing capabilities to share a billing table with consumer accounts, tracking API calls externally and managing billing outside of the Snowflake Marketplace.

Answer: D

Explanation:
The correct approach is to use 'snowflake.snowpark.functions.metering' to track API calls and configure a CONSUMPTION listing. CONSUMPTION listings allow you to define metering events and their corresponding costs, enabling usage-based pricing. Options A is partially correct regarding the metering function but incorrect about the listing type. Standard listing is for free apps. Other options bypass native monetization and require manual billing processes, defeating the purpose of leveraging the Marketplace's monetization features.

NEW QUESTION # 204
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