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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Native Application Design and Creation	35%	- Application development workflow 1. Application roles and privileges 2. Building and versioning applications
Topic 2: Installation, Testing and Troubleshooting	20%	- Validation and debugging 1. Tracing and troubleshooting workflows 2. Logging and event tables
Topic 3: Snowflake Native App Framework Overview	20%	- Native application concepts and architecture 1. Application packages and structure 2. Manifest files and setup scripts
Topic 4: Deployment and Marketplace Publishing	25%	- Distribution and lifecycle management 1. Version upgrades and release management 2. Marketplace listings and publishing

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q85-Q90):

NEW QUESTION # 85
You're developing a Snowflake Native Application with a front-end UI built using Streamlit, deployed as a UDF. This UI allows users to upload CSV files for processing. To adhere to security best practices and prevent unacceptable code practices in a Native App, what considerations should you prioritize in your development and deployment process specifically related to handling user-uploaded files ?

A. Assume that all uploaded files are safe and trustworthy, and directly process them without any security checks.
B. Store the uploaded CSV files directly within a Snowflake table without any validation to ensure high performance and minimal overhead.
C. Allow user to execute scripts or upload executable file as part of CSV content
D. Disable any logging or auditing of file upload activity to protect user privacy and avoid unnecessary data storage.
E. Implement strict file size limits and file type validation on both the client-side (Streamlit UI) and server-side (Snowflake UDF) to prevent denial-of-service attacks and malicious file uploads. Sanitize and validate the contents of the uploaded CSV file, escaping special characters and preventing SQL injection vulnerabilities if data from the CSV is used in SQL queries.

Answer: E

Explanation:
Option A is the most secure approach. It emphasizes both client-side and server-side validation to prevent malicious uploads. Storing files directly without validation (B) is highly insecure. Disabling logging (C) hinders auditing and incident response. Assuming files are safe (D) is a critical security flaw. Option E is very dangerous from security perscpective, it should not be allowed.

NEW QUESTION # 86
You are developing a Snowflake Native Application that processes customer orders. The application needs to securely store sensitive customer data (e.g., credit card numbers) within the provider's account but must grant the consumer's account access to analyze aggregated, de-identified order statistics. Which combination of features is BEST suited to achieve this while adhering to security best practices and Snowflake Native App constraints?

A. Store sensitive data in a table within the provider account. Create a user-defined function (UDF) that aggregates and de-identifies the data. Share the table and the UDF with the consumer account through a share. The consumer application can then use the UDF to query the data.
B. Store sensitive data in a table within the provider account. Use dynamic data masking policies to de-identify the data when accessed by the consumer account. Share the underlying table directly with the consumer account through a share.
C. Store sensitive data in a table within the provider account. Create a stored procedure that aggregates and de-identifies the data, writing the results to a new table. Share this new, aggregated table with the consumer account via a data share.
D. Store sensitive data in an internal stage within the provider account. Create a stored procedure that reads data from the stage, aggregates and de-identifies it, and writes the results to a shareable table. The consumer application can query the shareable table.
E. Store sensitive data in a secured view within the provider account. Grant the consumer account usage privileges on this secured view. Create a setup script using 'CREATE APPLICATION ROLE and 'GRANT to give the consumer's application role access to the secured view.

Answer: C

Explanation:
Option C is best. Storing sensitive data in the provider account and then sharing only the aggregated, de-identified data is the most secure approach. Using a stored procedure isolates the sensitive data processing and ensures only the intended output is shared. Options A and D expose sensitive data directly or indirectly through secured views/masking which are less secure. Option B uses an internal stage unnecessarily. Option E is less secure since it shares direct table access and consumer needs to call the UDF for aggregation.

NEW QUESTION # 87
A Native App developer is using Snowflake's Event Tables for tracing the execution of their application. They have noticed a significant performance overhead when event logging is enabled, particularly for high-volume UDFs. Which of the following strategies would be MOST effective in mitigating the performance impact of event logging while still capturing valuable tracing information?

A. Increase the frequency of event table flushes to reduce the number of events buffered in memory. This minimizes memory pressure and write latency.
B. Write event data directly to an external cloud storage system (e.g., AWS S3, Azure Blob Storage) bypassing Snowflake's Event Tables altogether.
C. Reduce the number of columns captured in the event tables to minimize the amount of data being written. Store all tracing data in a single large event table to simplify querying.
D. Implement sampling or conditional logging within the UDFs, only logging events for a subset of executions or when specific conditions are met. Utilize asynchronous logging techniques where appropriate to offload logging operations.
E. Disable event logging entirely for high-volume UDFs to eliminate the performance overhead.

Answer: D

Explanation:
Option C offers the best balance between performance and valuable tracing information. Sampling allows you to reduce the volume of events logged, while conditional logging ensures that only relevant events are captured. Asynchronous logging further minimizes the performance impact. Option A is not desirable as it eliminates tracing altogether. Option B will not reduce overhead. Option D is a good strategy but doesn't address high logging volumes. Option E may not be compliant or possible.

NEW QUESTION # 88
You're developing a Snowflake Native App that includes a function, , which retrieves sensitive customer dat a. You want to ensure that this data is only accessible by authorized roles within the consumer's account, even after the application is installed. Which of the following strategies are appropriate for securing the application's data and function access? (Choose two)

A. Rely solely on the consumer's account administrator to manage access to the function and data after installation.
B. Grant the 'EXECUTE privilege on the function to the 'application role'.
C. Use a secure UDF to encapsulate the data retrieval logic, preventing direct access to the underlying tables.
D. Grant the 'EXECUTE privilege on the function to specific, consumer-defined roles within the consumer's account via the provider's setup script.
E. Implement a masking policy on the underlying customer data table that restricts access based on the current role.

Answer: D,E

Explanation:
Implementing a masking policy (Option A) directly on the underlying data table ensures that data is masked or restricted based on the user's role, regardless of how the data is accessed. Granting 'EXECUTE to consumer-defined roles (Option C) allows the provider to explicitly control which roles in the consumer's account have access to the function. Option B is incorrect as giving Execute permission to application role won't restrict access within consumer account. Option D can enhance security, it requires role base access control to be truly useful as the UDF will still need explicit role definitions of user access. Option E is insufficient; the provider needs to actively participate in securing the data through mechanisms like masking policies and role-based access control via grants in the setup script.

NEW QUESTION # 89
You are developing a Snowflake Native App. Your app needs to interact with the consumer's Snowflake account to retrieve dat a. You want to ensure that your app only has access to the necessary data and that the consumer can control the data access. Which of the following methods is the MOST secure and recommended way to achieve this?

A. Utilize Snowflake's secure data sharing feature combined with granular access control policies (row access policies, masking policies) within the provider's app, granting access to specific views or tables.
B. Use a Snowflake account administrator role to execute all queries within the app.
C. Create a service account within the consumer's Snowflake account and grant the necessary privileges to this account.
D. Create a shared secret between the provider and consumer accounts and use this secret to authenticate API calls for data access.
E. Expose an API endpoint within the consumer's account that grants access to the data without any restriction.

Answer: A

Explanation:
Snowflake's secure data sharing feature, coupled with granular access control policies, provides the MOST secure and controlled way to access data within a consumer's Snowflake account. This approach allows the provider to define which data the app can access and the consumer to control the access through policies.

NEW QUESTION # 90
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