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Updated: Aug 18, 2026
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| Certification Vendor: | Snowflake |
| Exam Name: | SnowPro® Specialty: Native Apps Certification Exam |
| Exam Number: | NAS-C01 |
| Passing Score: | 75% |
| Real Exam Qty: | 65 |
| Exam Duration: | 115 minutes |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple choice, Multiple select |
| Exam Price: | $375 USD |
| Available Languages: | English |
| Related Certifications: | SnowPro Core SnowPro Associate: Platform |
| Recommended Training: | Snowflake Native Apps Learning Path Snowflake Documentation - Native Apps |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Snowflake NAS-C01 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Must hold active SnowPro Core or SnowPro Associate: Platform certification; recommended 1+ year experience building native apps |
| Official Syllabus URL: | https://learn.snowflake.com/en/certifications/snowpro-nativeapps/ |
| Section | Weight | Objectives |
|---|---|---|
| Application Installation & Testing | 20% | - Provider and consumer workflows - Installation procedures and dependencies - Testing strategies and validation - Debugging and troubleshooting |
| Application Design & Creation | 35% | - Application packages and objects - Security and access control - Native App Framework architecture - Setup scripts and application logic - Manifest files and configuration |
| Application Deployment & Distribution | 25% | - Publishing to Snowflake Marketplace - Listing types and monetization - Versioning and release management - Upgrades and lifecycle management |
| Advanced Features & Management | 20% | - Integration with Snowpark and external services - Governance and compliance - Event logging and telemetry - Billing events and cost monitoring |
1. A software vendor is developing a Snowflake Native App that provides data enrichment services. As part of the application lifecycle, they need to automate the process of packaging, deploying, and upgrading their application across multiple Snowflake regions. Which of the following approaches provide the MOST efficient and reliable way to automate the deployment and upgrade process for this Native App? Select TWO options.
A) Leverage Snowflake's Native Apps API (if available) to programmatically manage the application package lifecycle.
B) Manually create application packages for each region and upload them to Snowflake using the web interface.
C) Create a custom deployment tool that directly manipulates Snowflake's metadata tables to register the application package.
D) Use Snowflake's CLI (SnowSQL) in conjunction with scripting tools (e.g., Bash, Python) to automate the creation of application packages and deployments.
E) Integrate with CI/CD pipelines, creating packages and updating versions to control the application's deployment and upgrade process.
2. You are creating a Snowflake Native App using the Native Apps Framework. Your application needs to perform a task that must execute on a regular schedule (e.g., daily data refresh). Which Snowflake feature(s) can you leverage to achieve this, and what considerations are important when using them within the Native App context?
A) Snowflake Streams should be used to track data changes and trigger the refresh process. The Stream must be defined in the application package, and a separate task can be configured to consume the stream data.
B) Snowflake Tasks can be used directly within the Native App, but you must ensure the task definition is part of the application package and the task is resumed upon installation in the consumer account. The task must use the APPLICATION role.
C) Use Snowflake Alerts with a cron schedule to trigger a stored procedure owned by the APPLICATION role. The procedure executes any scheduled task.
D) You should implement an external scheduler (e.g., AWS Lambda, Azure Functions) that triggers a Snowflake Stored Procedure via the Snowflake API. The Stored Procedure should be owned by the APPLICATION role.
E) Snowflake Pipes are the preferred method for scheduled data ingestion within Native Apps, as they are designed for continuous data loading from external sources.
3. 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) Implement a data retention policy to automatically purge older usage data that is no longer needed.
C) Store all usage data in a single table and rely on Snowflake's automatic clustering to handle performance.
D) Partition the usage data table by consumer account ID to isolate data from different consumers.
E) Use clustering keys on columns commonly used in queries, such as timestamp and consumer account ID. Consider data compression options if available.
4. You are designing the setup script for a Snowflake Native Application. This application requires the creation of several views based on data residing in the consumer's account. These views need to be dynamically created based on a configuration table that is part of your application package. The configuration table contains view names, the underlying tables in the consumer's account, and the specific SQL queries for each view. The design must adhere to best practices for security and data governance. Which approach would you use for designing this setup script, considering security vulnerabilities and execution context?
A) Use dynamic SQL generation with proper escaping functions (e.g., to prevent SQL injection. Store the generated SQL in a temporary table, and then execute each statement from the temporary table using 'EXECUTE IMMEDIATE
B) Use a stored procedure, owned by the application, to dynamically generate and execute the 'CREATE VIEW statements. The stored procedure reads the view definitions from the configuration table and creates the views using dynamic SQL.
C) Employ parameterized SQL (using '?' 7 placeholders) within the 'CREATE VIEW' statements, binding the view names and queries read from the configuration table. Execute these statements using 'EXECUTE IMMEDIATE to prevent SQL injection vulnerabilities.
D) Directly construct and execute the 'CREATE VIEW' statements within the setup script using string concatenation, reading the view definitions from the configuration table. This minimizes code complexity and ensures immediate view creation.
E) Create a series of static 'CREATE VIEW' statements within the setup script, each targeting a predefined table in the consumer's account. The application will handle data filtering within these views.
5. You are developing a Snowflake Native Application that integrates with an external API to enrich data within the consumer's account. You need to design the setup script to handle API credentials securely and ensure that consumers can configure their own API keys. Which of the following methods is the MOST secure and recommended approach for managing API credentials within a Snowflake Native Application?
A) Encrypt the API credentials using a simple symmetric key and include the decryption key in the setup script.
B) Use Snowflake's secret management capabilities (e.g., SECRETS feature) to store the API credentials securely, allowing consumers to create and manage their own secrets and reference them within the application.
C) Hardcode the API credentials directly into the setup script and distribute them to consumers.
D) Store the API credentials as environment variables within the application's deployment environment.
E) Store the API credentials in a publicly accessible stage and instruct consumers to download and configure them manually.
Solutions:
| Question # 1 Answer: D,E | Question # 2 Answer: B,C | Question # 3 Answer: B,E | Question # 4 Answer: B | Question # 5 Answer: B |
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