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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
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 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. Design scalable applications 2. Build, distribute, and monetize apps in Snowflake
Snowflake Native App Framework Overview	20%	- Understand Snowflake architecture, features, tools, and best practices 1. Account security and access management 2. Data sharing and protection mechanisms 3. Cloud-based computing and storage concepts
Snowflake Native Applications Installation and Testing	20%	- Install and test native applications 1. Validate application functionality and performance

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q98-Q103):

NEW QUESTION # 98
You are developing a Native App on Snowflake that collects usage data from consumer accounts. You need to store this data securely and efficiently, and you anticipate that the volume of data will grow rapidly. Which of the following strategies would you consider to OPTIMIZE storage and query performance for this usage data within the application?

A. Create separate tables for each consumer account to store their usage data.
B. Partition the usage data table by consumer account ID to isolate data from different consumers.
C. Implement a data retention policy to automatically purge older usage data that is no longer needed.
D. Store all usage data in a single table and rely on Snowflake's automatic clustering to handle performance.
E. Use clustering keys on columns commonly used in queries, such as timestamp and consumer account ID. Consider data compression options if available.

Answer: C,E

Explanation:
Implementing a data retention policy reduces storage costs and improves query performance by removing unnecessary data. Using clustering keys optimizes query performance by physically organizing the data based on frequently queried columns. Storing all data in a single table (A) may lead to performance issues as the table grows. Partitioning (B) doesn't exist in Snowflake. Creating separate tables per account (C) can become unmanageable at scale.

NEW QUESTION # 99
You are developing a Snowflake Native Application that processes customer order dat a. As part of the setup script, you need to create a shared database and a secure view to expose aggregated order statistics to consumer accounts. Which of the following is the MOST secure and efficient way to achieve this, considering data governance and performance?

A. Create a secure materialized view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this materialized view.
B. Create a secure view in the application database using the APPLICATION role. Create a shared database and share the APPLICATION database. The consumer account then uses a local view pointing to the shared secure view.
C. Create a regular view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this view.
D. Create a regular view in the application database using the APPLICATION role. Create a shared database and share the APPLICATION database. The consumer account then uses a local view pointing to the shared view.
E. Create a secure view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this view.

Answer: B

Explanation:
Creating a secure view in the application database with the APPLICATION role and then sharing the application database is the most secure option. Using the APPLICATION role ensures only the application can access the underlying data. Secure views ensure that data is masked according to the view's definition when accessed by consumers. Consumer accounts use a local view to interact with the shared data, providing an abstraction layer. Materialized views are generally not shared directly because they represent pre-computed data and may not reflect the latest changes.

NEW QUESTION # 100
Your company has developed a Snowflake Native Application designed to provide advanced data analytics. They want to distribute this application through the Snowflake Marketplace, but only to a select group of partner organizations before a general public release. Which steps are essential to ensure that only these partners can discover and install the application?

A. List the application as a public listing on the Snowflake Marketplace and rely on partner organizations to keep the application usage confidential through contractual agreements.
B. List the application as a private listing on the Snowflake Marketplace and specify the Snowflake account identifiers of the partner organizations allowed to access the listing.
C. Share the application package directly with the partner organizations using Snowflake Secure Data Sharing, bypassing the Snowflake Marketplace entirely.
D. List the application as a public listing and implement IP address whitelisting within the application to restrict access to partner organizations' IP ranges. Use context functions to obtain the IP address.
E. Create a public listing but obfuscate the application name and description so that only partners with prior knowledge can identify the application.

Answer: B

Explanation:
Listing the application as a private listing on the Snowflake Marketplace allows you to explicitly control which Snowflake accounts can discover and install the application. By specifying the account identifiers of the partner organizations, you ensure that only these partners have access, providing a secure and controlled distribution mechanism during the pre-release phase. The other options are either insecure (A, E), bypass the Marketplace intended use (C), or impractical and unreliable (D).

NEW QUESTION # 101
You are developing a Snowflake Native Application that provides data enrichment services. You want to offer tiered pricing based on the number of API calls made by consumers. Which of the following is the most effective approach to implement usage-based billing and track API call consumption within your application?

A. Use Snowflake's resource monitors to limit the compute resources available to consumers based on their chosen tier.
B. Implement a UDF within the application that increments a counter in a shared table each time an API endpoint is called. Query this table to determine usage.
C. Implement a custom logging mechanism within the application to track API calls and store the logs in a separate Snowflake database, accessible only to the provider. Use scheduled tasks to analyze these logs and generate billing data.
D. Utilize Snowflake's events table to capture API call events based on function executions, enabling precise tracking and reporting of API usage for each consumer.
E. Leverage Snowflake's built-in metering framework using and 'SYSTEM$METER STAGE_STORAGE BYTES' to indirectly estimate API calls.

Answer: B

Explanation:
Option A is the most effective as it directly tracks API calls within the application. Resource monitors (B) only control compute costs, not API usage. System$METER functions (C) track storage, notAPl calls. Custom logs (D) introduce complexity and security concerns. Snowflake's events table is a good general approach (E), but requires enabling detailed logging, which has performance implications and might not be available in all accounts. A shared table with a UDF provides the most direct and controllable way to meter usage.

NEW QUESTION # 102
You are developing a Snowflake Native Application that relies on external functions (UDFs) hosted outside of Snowflake. You need to ensure that these external functions are securely accessed and that you can track their usage. Which of the following steps are required to correctly configure and manage access to external functions in your application package?

A. Define the external functions in the application manifest, specifying the API integration object used for secure communication and authentication.
B. Grant the 'USAGE privilege on the API integration object to the application role that will be calling the external functions within the application package. This is done through the application setup script.
C. No explicit configuration is required within the application package; external functions are automatically accessible once defined in the developer's Snowflake account.
D. Create a network rule in the application package that whitelists the IP addresses or hostnames of the external function endpoints. Ensure that the application manifest includes the property set to 'true' and references the network rule.
E. Implement robust error handling and logging within the application code to capture any issues related to external function calls, including authentication errors, network connectivity problems, and data transformation failures.

Answer: A,B,D,E

Explanation:
Options A, B, C, and D are all correct. External functions require careful configuration within a Snowflake Native Application. Defining the functions in the manifest (A) is essential for Snowflake to recognize and manage them. Network rules (B) ensure secure network access. Granting USAGE on the API integration (C) allows the application role to use the integration for authentication. Robust error handling and logging (D) are crucial for monitoring and troubleshooting. Option E is incorrect; explicit configuration is absolutely necessary for security and control.

NEW QUESTION # 103
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