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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 Applications Installation and Testing	20%	- Install and test native applications 1. Validate application functionality and performance
Topic 3: Snowflake Native Applications Design and Creation	35%	- Apply Snowflake best practices while building native application workloads 1. Design scalable applications 2. Build, distribute, and monetize apps in Snowflake - Create and manage billing events and cost monitoring techniques 1. Formulate Snowflake native application workflows and procedures
Topic 4: 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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q165-Q170):

NEW QUESTION # 165
You are tasked with deploying a Snowflake Native Application that performs real-time data analysis. The application requires a warehouse to run and a user with specific privileges to access dat a. You want to automate the deployment process as much as possible, including warehouse creation, user provisioning, and privilege granting, all within the application package. Given the security considerations and best practices for Snowflake Native Applications, which of the following approaches is the MOST secure and recommended?

A. Employ a secure deployment pipeline that leverages a separate, pre-authorized Snowflake account to provision the warehouse and useL The application package then only includes the application logic, assuming the resources already exist.
B. Use a setup script within the application package, granting it the 'APPLY APPLICATION PASSTHROUGH PRIVILEGES privilege. This will enable the application to inherit the privileges of the user who installed the application, allowing it to create the warehouse and user on their behalf.
C. Utilize the 'INSTALL' privilege when creating the application package and execute the SQL script (containing 'CREATE WAREHOUSE, 'CREATE USER , and 'GRANT) within the application's setup script using the 'EXECUTE IMMEDIATE command. This allows the application to create resources within the consumer's account.
D. Include a SQL script within the application package that uses the 'CREATE WAREHOUSE, 'CREATE USER , and 'GRANT commands to create the warehouse, user, and grant necessary privileges. The script will be executed by the consumer upon installation.
E. Request the consumer to manually create the warehouse and user with the required privileges before installing the application. Provide detailed instructions in the application documentation.

Answer: C

Explanation:
Option C is the most appropriate. Snowflake Native Apps are designed to operate within a secure sandbox. The INSTALL privilege, combined with EXECUTE IMMEDIATE within the setup script, allows the application to create the necessary resources within the consumer's account in a controlled and automated manner. Option A is less secure, as it relies on the consumer executing arbitrary SQL. Option B increases the burden on the consumer. option D is overly complex for this scenario. APPLY APPLICATION PASSTHROUGH PRIVILEGES is about leveraging the consumer's privileges for accessing THEIR data, not for the creation of resources (option E).

NEW QUESTION # 166
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. Create a custom deployment tool that directly manipulates Snowflake's metadata tables to register the application package.
B. Leverage Snowflake's Native Apps API (if available) to programmatically manage the application package lifecycle.
C. Manually create application packages for each region and upload them to Snowflake using the web interface.
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.

Answer: D,E

Explanation:
Using Snowflake's CLI (SnowSQL) with scripting allows for automating tasks like creating application packages and deployments. Integrating with CI/CD pipelines automates the entire deployment process, from building the application package to deploying it to multiple regions. Manual package creation is inefficient (A). Directly manipulating Snowflake's metadata tables is not recommended and unsupported (D). While Snowflake's Native Apps API (C) would be ideal, at the time of this writing, a fully featured API may not be available, so CLI scripting is currently the better option. CI/CD integration is also a valid response for this.

NEW QUESTION # 167
You are responsible for deploying a Snowflake Native Application that processes sensitive financial dat a. Your team is concerned about data leakage and unauthorized access. Which of the following security measures should you implement to mitigate these risks and comply with Snowflake Marketplace best practices? (Select THREE)

A. Disable network policies on the application container to allow unrestricted access to external resources.
B. Use Snowflake Secrets to securely store and manage any API keys or credentials required by the application.
C. Implement Dynamic Data Masking on sensitive columns within the application's data container.
D. Implement Role-Based Access Control (RBAC) within the application, granting only the necessary privileges to each role.
E. Grant the APPLICATION ROLE access to all tables within the consumer's Snowflake account.

Answer: B,C,D

Explanation:
Dynamic Data Masking protects sensitive data from unauthorized users. Snowflake Secrets prevent hardcoding credentials in the application code. RBAC ensures that users only have the necessary privileges. Granting access to all tables (Option B) is a major security risk. Disabling network policies (Option D) increases the attack surface.

NEW QUESTION # 168
Your Snowflake Native Application needs to integrate with an external Python library (e.g., 'requests' ) to fetch data from a third-party API. You have packaged the library using Anacond a. How do you correctly reference and use this external library within a Python UDF in your application?

A. Create a stage to store the Anaconda packages and reference them when calling the UDF from Streamlit.
B. Use 'snowflake.ingest.SimplelngestManager' to manage the library dependencies within the application's metadata.
C. Import the library directly in the UDF code using 'import requests'. Snowflake automatically handles external dependencies.
D. Install the 'requests' library on each Snowflake virtual warehouse used by the application.
E. Specify the library in the 'imports' clause when creating the UDF using the opackageS decorator. For example:

Answer: E

Explanation:
Snowflake uses Anaconda for managing Python dependencies in UDFs. The correct way to specify external libraries is through the packages parameter in the '@sproc' decorator or when creating a UDF using 'CREATE FUNCTION'. Directly importing without specifying the package or managing it manually (C, D, E) will lead to A is wrong since the library has to be explicitly declared as a dependency.

NEW QUESTION # 169
You are deploying a Snowflake Native Application that utilizes a UDF (User-Defined Function) to perform complex data transformations. The UDF is written in Python and depends on several external packages. You need to ensure that the consumer of your application can seamlessly install and use the UDF without encountering dependency conflicts or versioning issues. How should you manage the UDF and its dependencies during the deployment process, considering Snowflake's Native App framework?

A. Utilize the Snowflake Native Apps framework to bundle the Python UDF and its dependencies within the application package. Snowflake will automatically handle dependency resolution during application installation.
B. Package the Python UDF and its dependencies into a ZIP file and include it in the application package. Consumers will need to manually install the dependencies using 'conda install' after installing the application.
C. Use Anaconda packages within the Snowflake environment to manage Python dependencies. Ensure all required packages are explicitly listed in the setup script used during the application installation process.
D. Upload the Python UDF code directly into a stage and create a Snowflake function using the 'CREATE FUNCTION' command. Rely on the consumer's existing Python environment to resolve dependencies.
E. Document the Python UDF dependencies in the application's documentation and instruct consumers to manually install them before using the function. No packaging is required.

Answer: A

Explanation:
The Snowflake Native Apps framework is designed to handle dependency management automatically. Option D is the correct answer. The framework ensures that the UDF and its dependencies are packaged together and resolved seamlessly during installation, avoiding conflicts and versioning issues for the consumer. Options A, C, and E place the burden of dependency management on the consumer, which is not ideal. While B uses Anaconda packages, it's less seamless and automatic than using the Native Apps framework's built-in capabilities. This automatic dependency resolution is a key benefit of the Native Apps framework.

NEW QUESTION # 170
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