Snowflake · NAS-C01
Validates specialized knowledge, skills, and best practices for building native application workloads in Snowflake. Targets professionals with 1+ years of experience building and deploying native applications using the Snowflake Native App Framework in production environments.
Practice Questions
600
≈ 6 practice exams
Duration
60 minutes
Passing Score
750/1000
Difficulty
SpecialtyLast Updated
Jun 2026
Use this NAS-C01 practice exam to prepare for SnowPro Specialty: Native Apps (NAS-C01) with realistic questions, detailed explanations, and focused study modes. The practice bank includes 600 questions for Snowflake NAS-C01, so you can review the exam steadily instead of relying on one long cram session.
As you practice, pay extra attention to recurring topics such as Native App Framework Architecture, Application Package and Versioning, Snowpark for Native Apps, Data Sharing and Monetization, and Security and Access Control. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.
The explanations are especially useful when you want to connect exam wording to the responsibilities and scenarios described in the official certification guidance. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.
The SnowPro Specialty: Native Apps (NAS-C01) certification validates specialized knowledge, skills, and best practices for designing and deploying native application workloads within Snowflake's Data Cloud. The exam assesses proficiency across the full lifecycle of native application development—from understanding the Native App Framework architecture and constructing application packages to implementing versioning, release management, and publishing on the Snowflake Marketplace. Candidates are tested on their ability to apply Snowflake's programming constructs, integrate Snowpark, manage data sharing and monetization strategies, and enforce security and access control within native apps.
The NAS-C01 is one of three certifications in the SnowPro Specialty series, alongside Snowpark (SPS-C01) and Gen AI (GES-C01), each targeting practitioners with deep, production-level expertise in specific Snowflake feature areas. The exam is scored on a scaled 0–1000 point scale with a passing threshold of 750, is administered through Pearson VUE (at testing centers or via remote proctoring), and costs $375 USD per attempt.
This certification is designed for software engineers, data engineers, and platform developers who have at least one year of hands-on experience building and deploying native applications using the Snowflake Native App Framework in production environments. Ideal candidates are professionals who architect, develop, test, and release native apps distributed via the Snowflake Marketplace, and who routinely work with application packages, setup scripts, manifest files, container services, and lifecycle management workflows.
Candidates are expected to have working knowledge of at least one Snowflake-supported language such as Python, familiarity with standard software development lifecycle (SDLC) practices, and experience integrating security controls, billing events, and monetization mechanisms into their native app solutions.
There are no mandatory prerequisites listed to sit for NAS-C01, but Snowflake strongly recommends that candidates hold the SnowPro Core certification or possess equivalent foundational knowledge of Snowflake's platform before pursuing this specialty. Core competency in SQL and at least one Snowflake-supported programming language (particularly Python) is expected, as is familiarity with Snowpark for building data pipelines and application logic.
Beyond technical knowledge, candidates should have practical, production-level experience working with the Snowflake Native App Framework—including constructing and versioning application packages, writing setup scripts, managing permissions, and understanding deployment and release pipelines. Candidates with experience in CI/CD tooling, application distribution, and data marketplace operations will be especially well-prepared.
The NAS-C01 exam consists of approximately 55 scored questions, delivered entirely in multiple-choice format. Candidates are given 60 minutes to complete the exam. The exam is administered through Pearson VUE and can be taken either at a physical testing center from Pearson VUE's global network of 1,000+ locations, or remotely via online proctoring from a home or office environment.
Scoring uses a scaled system ranging from 0 to 1,000 points, and a passing score of 750 is required. The exam costs $375 USD per attempt. Upon passing, the certification remains valid for two years, after which candidates must retake the current version of the exam to maintain their credential.
Professionals who earn the NAS-C01 certification demonstrate production-level expertise in one of Snowflake's most strategic growth areas—native application development—which differentiates them in a market where demand for Snowflake-skilled engineers continues to outpace supply. Certified professionals are well-positioned for roles such as Snowflake Native App Developer, Data Platform Engineer, Cloud Application Architect, and Marketplace Solution Provider, with mid-to-senior-level Snowflake developers in the United States earning between $120,000 and $190,000 per year in base salary, and total compensation ranging significantly higher in top-tier technology organizations.
As ISVs (independent software vendors) and enterprise data teams increasingly adopt the Snowflake Marketplace to distribute and monetize data products, demand for engineers who can architect and operate native apps within Snowflake's governed environment is growing. The NAS-C01 complements other Snowflake credentials—particularly the SnowPro Core and SnowPro Specialty: Snowpark—and together these certifications form a compelling credential stack for professionals building Snowflake-native data products and commercial applications.
5 sample questions with answers and explanations. The full bank has 600 questions, enough for 6 full-length practice exams.
Preview — answers shown1. A developer at Contoso Analytics is designing the setup script for a Native App. The app includes stored procedures and UDFs that should always reflect the latest version of the code, as well as a user-preferences table that must retain consumer data across all future upgrades. How should the developer structure the schemas to meet both requirements? (Select one!)
Explanation
Versioned schemas created with CREATE OR ALTER VERSIONED SCHEMA are automatically dropped and recreated on every upgrade, which ensures stored procedures and UDFs always contain the latest code without manual management. Stateful tables that must persist consumer data across upgrades must be placed in standard schemas using CREATE TABLE IF NOT EXISTS so the table and its data survive each upgrade cycle. Placing user-preference data in a versioned schema would destroy all stored data on every upgrade because versioned schemas are recreated in their entirety. Creating all objects in a standard schema with CREATE OR REPLACE would destroy the contents of the user-preferences table on each upgrade, causing data loss. The correct design separates ephemeral code artifacts into versioned schemas and durable state into standard schemas.
2. A development team at Cascade Systems manages a Native App through its full release lifecycle using Snowflake release channels. They use a QA channel for internal engineers to validate builds, an ALPHA channel for a beta program with trusted external customers, and the DEFAULT channel for all Marketplace consumers. A new team member is reviewing when automated security scans are required across channels. Which statement accurately describes the security scan requirements for these three channels? (Select one!)
Explanation
Snowflake release channels have distinct security scan requirements based on the sensitivity and externality of the audience they serve. The QA channel is intended exclusively for internal provider testing and does not require automated security scans, allowing engineering teams to iterate quickly without scan overhead blocking development cycles. The ALPHA channel supports external collaboration with trusted beta customers and therefore requires automated security scans before versions can be added, protecting those external parties from receiving unvalidated application code. The DEFAULT channel is the production channel consumed by all Marketplace customers and must pass the complete set of security requirements including automated scans before versions can be promoted to it. Mandating scans on all three channels including QA would significantly slow internal development. Exempting both QA and ALPHA would expose external beta consumers to unscanned code. While the application package DISTRIBUTION property also influences security requirements, scan enforcement is applied at the release channel level and is not solely determined by the package-level DISTRIBUTION setting.
3. A developer at Pinnacle Data is reviewing setup_script.sql for a new Native App before publishing. The script contains five SQL statements and the developer needs to identify which ones are prohibited by the Native App Framework and will cause installation to fail. Which two statements are prohibited in a Native App setup script? (Select two!)
Multiple correct answersExplanation
USE ROLE and USE DATABASE are explicitly prohibited in Native App setup scripts. The setup script runs under the application owner role and cannot switch roles or change the database context. These restrictions enforce the security boundary of the Native App Framework, preventing the app from escalating privileges or accessing objects outside its defined scope. CREATE OR ALTER VERSIONED SCHEMA is valid Native App Framework syntax used to declare schemas whose objects are automatically recreated on every upgrade. CREATE SCHEMA IF NOT EXISTS is a valid idempotency pattern for creating persistent stateful schemas that survive upgrades. EXECUTE IMMEDIATE FROM is a supported mechanism for organizing setup scripts into modular secondary files stored on the application stage.
4. A developer at Silver Peak Systems is building a Native App that processes data from a consumer-specified source table. The manifest.yml declares a reference with required_at_setup: true, object_type TABLE, and SELECT in the privileges array. After installation, a test consumer reports that the app immediately fails because the reference is unresolved. What must the consumer do to authorize the app to access their table through this declared reference? (Select one!)
Explanation
When a Native App declares a reference in manifest.yml, consumers must explicitly resolve it by binding the reference to a specific object in their own account. This binding is performed either through the Snowsight Applications configuration UI or by calling the reference registration system procedure identified in the register_callback field of the reference definition. The binding step scopes the declared privilege — in this case SELECT — to the consumer-chosen object and informs the app which table to use. A direct GRANT SELECT to the application owner role is not how the reference framework operates and does not resolve a declared reference. Consumers cannot modify the provider's manifest.yml; that file is part of the versioned application package controlled by the provider. Creating a share is a provider-to-consumer mechanism for sharing provider data, not a way for consumers to grant the app access to their own objects.
5. A provider at Trey Research has developed a financial analytics Native App with two distinct distribution requirements: sharing it directly with three named enterprise banking customers under NDAs without any Snowflake Marketplace visibility, and offering it to all Snowflake customers through a consumption-based billing model. Which combination of listing strategies should they configure? (Select two!)
Multiple correct answersExplanation
A private listing allows the provider to share the Native App directly with specific named Snowflake accounts without any visibility on the public Marketplace, satisfying the NDA requirement and preventing unintended discovery by other organizations. A paid listing on Snowflake Marketplace with usage-based pricing makes the app broadly accessible to all Snowflake customers while enabling consumption-based billing. A personalized listing still appears on the public Marketplace and only adds an approval workflow, so it does not satisfy the no-Marketplace-visibility requirement for the banking customers. A free listing with restricted access is not a supported Marketplace listing configuration. INTERNAL distribution is designed for development and testing within the same organization, not for distributing applications to external enterprise customers.
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