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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Snowflake Native Applications Deployment	25%	- Build, version, and release native applications 1. Use data sharing for app interoperability 2. Use Snowflake's marketplace
Topic 2: Snowflake Native App Framework Overview	20%	- Understand Snowflake architecture, features, tools, and best practices 1. Cloud-based computing and storage concepts 2. Account security and access management 3. Data sharing and protection mechanisms
Topic 3: 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
Topic 4: 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 (Q210-Q215):

NEW QUESTION # 210
You are developing a Snowflake Native App that requires specific Snowflake features and functionalities. To ensure compatibility and proper execution across different consumer environments, you need to define the minimum required Snowflake version. Which section in the manifest file is used to specify the minimum Snowflake version required by the application and what is the correct syntax?

A. The 'configuration' section. Syntax: '"configuration": {"required_snowflake_version": "7.0"}'
B. The 'setup' section. Syntax:
C. The 'application' section. Syntax: '"application": {"min_snowflake_version": "7.0"}'
D. The 'api_version' section. Syntax: '"api_version": along with in the 'applications section.
E. The 'dependencies' section. Syntax: '"dependencies": [{"snowflake_version":">=7.0"}]

Answer: C

Explanation:
The 'application' section within manifest file is used to specify minimum snowflake version required by Snowflake Native Application with the syntax '"application": {"min_snowflake_version": "7.0"}'. This attribute ensures that app installed is compatible with consumer account.

NEW QUESTION # 211
You are tasked with deploying a new version of your Snowflake Native Application. The new version introduces significant schema changes to the data warehouse used by the application. What steps should you take during the deployment process to ensure a smooth transition and minimize downtime?

A. Deploy the new version as a staging version alongside the existing version. Implement data migration scripts to gradually move data to the new schema, and then switch the production traffic to the new version.
B. Immediately replace the existing application version with the new version. Snowflake will automatically handle any schema compatibility issues.
C. Use Snowflake's zero-copy cloning feature to create a copy of the existing database. Apply the schema changes to the cloned database, test thoroughly, and then promote the cloned database to production.
D. Modify the existing tables in place to reflect the new schema. Update your application's code to be compatible with the new schema after the changes are complete.
E. Notify all users that the application will be unavailable for several hours while the schema changes are applied directly to the production environment.

Answer: A,C

Explanation:
Options B and D are both valid approaches for deploying a new version with schema changes. Option B provides a controlled and gradual migration to the new schema. Option D leverages Snowflake's cloning capabilities to minimize downtime and provide a rollback option. Option A assumes automatic handling of schema changes, which is not correct. Option C results in significant downtime. Option E is risky and can lead to data inconsistencies and application errors if not handled carefully and incrementally. Promoting the clone to production is preferable to modifying in place.

NEW QUESTION # 212
You are developing a Snowflake Native Application that uses a custom Python handler to perform data transformations. This handler requires access to a third-party Python package not included in the standard Anaconda environment provided by Snowflake. To ensure the application functions correctly on consumer accounts, what steps must you take? (Select all that apply)

A. Include the required Python package in the application package as a zip file using the 'CREATE or REPLACE FUNCTION' command with the 'imports' clause.
B. Use the SALTER FUNCTION' command after installation on the consumer's account to add the required Python package to the function definition. This option is not possible.
C. Specify the Python package as a dependency in the application's setup script using a install command.
D. Create a stage and upload the python package(s). Then in the Python UDF code, reference the python package from the stage.
E. Instruct consumers to manually install the necessary Python package using 'pip install' in a Snowflake Snowpark Python worksheet after installing the application.

Answer: A,D

Explanation:
Snowflake Native Applications cannot rely on consumers manually installing dependencies or executing arbitrary shell commands for security reasons. Including the Python package as a zip file via the 'imports' clause within the 'CREATE or REPLACE FUNCTION' command ensures that the dependency is automatically available when the Python handler is executed within the application environment on the consumer's account. Option C is not a valid command and not permissible in Snowflake. Also, consumers cannot use alter after the installation, Hence it will not work. A and D are the correct choices.

NEW QUESTION # 213
As a Native App Provider, you've identified a performance bottleneck in a query against a table within your application's container due to an inefficient join. The query is part of a view exposed to consumers. Which of the following actions would be MOST effective in improving the query performance while minimizing disruption to consumers?

A. Add a 'CLUSTER BY clause to the underlying table based on the join keys. Consumers will automatically benefit from improved query performance without any changes on their end.
B. Implement a scheduled task to regularly update the statistics of the table involved in the join. This will help the query optimizer make better decisions, and consumers will see improved performance gradually.
C. Rewrite the query in the view definition to use a more efficient join algorithm (e.g., using hints). Consumers will automatically benefit from the improved performance.
D. Create a search optimization policy on columns used in the 'WHERE' clause in the view. This does not require any changes from the consumers.
E. Create a materialized view in place of the existing view, pre-computing the join results. This will require consumers to update their queries to use the new materialized view name.

Answer: A,B,C,D

Explanation:
Options A, C, D and E are correct. Clustering the table improves data locality and join performance, the rewritten query can improve performance, updating statistics helps the query optimizer, and search optimization can speed up filtering. Option B is incorrect because creating a materialized view requires consumers to change their queries, which is disruptive. Consumers should not have to change the queries they execute.

NEW QUESTION # 214
A Native App provider has released a new version of their application. After installation, some consumers report encountering 'SQL compilation errors' when using certain features that rely on Java UDFs. The provider has thoroughly tested the application and cannot reproduce the error in their development environment. What are the MOST LIKELY causes of this issue and how can the provider systematically troubleshoot and resolve it? (Select TWO)

A. The Java UDFs are using external libraries that are not compatible with the consumer's Snowflake environment or are missing entirely. The provider should explicitly declare all dependencies in the application manifest and ensure they are properly packaged and deployed.
B. The provider's development environment is using a newer version of the Snowflake Java runtime than the consumer's environment. The provider should downgrade their development environment to match the oldest supported version and re-test the application.
C. Consumer-side firewall rules are blocking access to external resources used by the Java UDF. The provider should thoroughly document the necessary network configurations for consumers.
D. The Java UDFs are encountering data type mismatches due to differences in regional settings or data formats between the provider's and consumer's environments. The provider should enforce strict data validation and type conversion within the UDFs.
E. The consumer's Snowflake account has insufficient compute resources to execute the Java UDFs. The provider should instruct the consumer to upgrade their virtual warehouse size.

Answer: A,D

Explanation:
Options A and C are the most likely causes. Missing or incompatible Java dependencies (Option A) are a common source of UDF errors in Native Apps. Data type mismatches (Option C) due to regional settings can also lead to SQL compilation errors if the UDFs are not handling them correctly. Option B is less likely, SQL compilation errors indicate problems during the planning stage not the execution stage, so compute resource issues would typically manifest as runtime errors not compilation errors. Option D is technically possible but less probable. Option E is plausible, however, SQL compilation errors suggest the issue is at the compilation stage, implying incorrect types etc, rather than connectivity issues with external resources

NEW QUESTION # 215
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