Exam NAS-C01 Cram Questions - Valid NAS-C01 Exam Test

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Snowflake NAS-C01 Exam Syllabus Topics:

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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q168-Q173):

NEW QUESTION # 168
When designing the architecture of a Snowflake Native App, which of the following architectural considerations and trade-offs should you carefully evaluate to optimize performance, security, and cost-effectiveness? (Select all that apply)

A. Minimizing data transfer between the provider and consumer accounts by leveraging Snowpark and UDFs for data processing within the consumer's environment.
B. Using secured API integration to call the external APIs to get real time details in the app to make the app more useful.
C. Implementing robust error handling and logging mechanisms to facilitate debugging and monitoring of the application's behavior in both the provider and consumer environments.
D. Choosing the appropriate data access model (e.g., UDFs, stored procedures, Snowpark) based on the specific use case and performance requirements, considering the overhead associated with each approach.
E. Storing all application data within the provider account and accessing it directly from the consumer account using data sharing to avoid data duplication.

Answer: A,C,D

Explanation:
Options A, D, and E are crucial for optimal Snowflake Native App design. Minimizing data transfer (A) reduces costs and improves performance. Robust error handling and logging (D) are essential for debugging and monitoring. Choosing the correct data access model (E) is a key performance factor. Option B is incorrect because storing all data in the provider account and sharing to the consumer introduces unnecessary dependencies and potential security risks. Consumers also need to pay for querying your shared data. Option C is not always desirable, since calling external API every time would be too expensive.

NEW QUESTION # 169
You are managing the release of a new version (v2.0) of your Snowflake Native Application that introduces significant schema changes to shared tables accessed by consumer accounts. To minimize disruption during the upgrade, you want to implement a phased rollout while ensuring backward compatibility for consumers who haven't yet upgraded. Which of the following strategies would allow you to achieve this goal effectively? (Select TWO)

A. Create separate versions of the shared tables for vl .0 and v2.0, using views to present a unified interface. Grant consumer 'USAGE on view after upgrading.
B. Create views on top of the new schema in v2.0 that emulate the old schema from vl .0. Grant consumers 'USAGE' on these views until they upgrade.
C. Implement API versioning within your application code and provide compatibility layers to handle requests from consumers running older versions.
D. Use dynamic SQL within stored procedures to conditionally access either the old or new schema based on the consumer's account ID, identified through a custom configuration table.
E. Publish v2.0 without any schema changes and rely on consumers to manually migrate their data to new tables after upgrading.

Answer: B,C

Explanation:
Options A and D are both viable strategies. Creating views on top of the new schema that emulate the old schema provides backward compatibility by maintaining the expected data structure for consumers who have not yet upgraded. Implementing API versioning within the application code allows you to handle requests from consumers running older versions, ensuring that their existing integrations continue to function. Option B introduces unnecessary complexity and performance overhead with dynamic SQL. Option C relies on manual data migration by consumers, which is prone to errors and delays. Option E doubles the storage requirements by creating separate table copies.

NEW QUESTION # 170
A Snowflake Native App is designed to perform complex data transformations on large datasets provided by the consumer. To optimize performance and manage resource consumption, you need to choose the appropriate execution context for your application logic. Which of the following options should be considered to accomplish this?

A. Run entire process by calling API from provider side.
B. Executing all data transformations within a single stored procedure to minimize overhead.
C. Distributing the transformations across multiple SQL UDFs running in parallel using Snowflake's compute grid.
D. Leveraging Snowflake's external functions to offload data transformations to a separate cloud-based compute environment.
E. Using a combination of stored procedures, SQL UDFs, and external functions to orchestrate the data transformation process, depending on the specific requirements of each step.

Answer: E

Explanation:
Choosing the correct execution context for your application logic requires a combination of stored procedures, SQL UDFs, and external functions to orchestrate the data transformation process, depending on the specific requirements of each step, offering the best balance of performance, scalability, and resource management. A single stored procedure may not be efficient for complex transformations. SQL UDFs in parallel can be effective but might have limitations depending on the complexity. External functions offer flexibility for offloading but introduce latency and complexity. API call will be more appropriate to transfer the data.

NEW QUESTION # 171
A Snowflake Native App developer encounters an issue where the application fails to install on a consumer's account due to insufficient privileges. The developer has verified that the necessary privileges are declared in the application. privileges section of the manifest file. However, the installation still fails. What could be the most likely cause of this issue, and how can it be resolved?

A. The consumer's account is not on the same Snowflake region as the provider account. Verify and align the regions.
B. The privileges were declared in the manifest file, but were not actually granted to the application role in the provider account before creating the version. Grant the declared privileges to the application role using GRANT ON ACCOUNT TO APPLICATION ROLE and create a new version.
C. The privileges declared in the manifest file are not supported by the consumer's Snowflake edition. Review and adjust the required privileges.
D. The consumer's account does not have the SNOWFLAKE.APP_INSTALLER role enabled. Ensure this role is granted to the appropriate user.
E. The consumer account has object level grants conflicting with the required grants. Revoke the object level grants and try again.

Answer: B

Explanation:
Even if the privileges are declared in the manifest file, they must be explicitly granted to the application role in the provider account before a new version is created. The consumer's Snowflake edition might not support all privileges (but the error would be slightly different), SNOWFLAKE.APP INSTALLER role does not exist , regional difference does not matter as such if provider created version after granting the privileges. The application's role in provider account needs required permission using GRANT ON ACCOUNT TO APPLICATION ROLE .

NEW QUESTION # 172
You are developing a Snowflake Native Application with a complex custom billing model. Your application measures several consumption metrics, including data processed, API calls, and unique users. You want to offer consumers flexible pricing plans that combine fixed monthly fees with usage-based charges, and provide detailed invoices. What is the most appropriate way to construct your Snowflake native application to perform the custom billing?

A. Implement all metering logic within stored procedures in your Snowflake Native App package. Create a scheduled task that runs daily to calculate the billing amounts and store them in a billing table. Use Snowflake's data sharing to expose billing information to an external billing system.
B. Develop a separate application outside of Snowflake to poll the application's internal tables for usage metrics and perform all billing calculations externally.
C. Use Snowflake's native metering functions to calculate storage and compute costs, and manually calculate the other metrics outside of Snowflake. Combine these values to generate the invoices using an external billing system.
D. Utilize Snowflake's resource monitors to track overall consumption and apply a fixed cost per resource unit consumed.
E. Develop stored procedures within the application to measure each metric, apply the complex pricing logic, and generate invoices directly within Snowflake as JSON documents. Offer these invoices as output from a 'GET INVOICE stored procedure exposed to the customer.

Answer: E

Explanation:
Option E offers the most comprehensive and integrated solution. All calculations and invoice generation occur within Snowflake, leveraging its capabilities. Options A, B, and D delegate key aspects of billing to external systems, complicating the process and potentially introducing security risks. Relying solely on Snowflake's resource monitors (C) does not provide granular control over usage-based charges for diverse metrics. Keeping everything within the native app package allows for optimal control and integration.

NEW QUESTION # 173
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