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Snowflake NAS-C01 Exam Syllabus Topics:

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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q105-Q110):

NEW QUESTION # 105
You are packaging a Snowflake Native Application that utilizes an external function to enrich dat a. This external function requires access to an API endpoint. You've created an API integration in the consumer's account to manage access. How should you grant the necessary privileges to your application to utilize this API integration?

A. Create a share from your provider account containing the API integration and import it into the consumer's account.
B. No explicit privilege granting is required. Snowflake automatically grants access to API integrations to applications within the same account.
C. Grant the EXECUTE privilege on the external function to the application role. The external function inherits the API integration's privileges.
D. Grant the USAGE privilege on the API integration to the application role using the command 'GRANT USAGE ON INTEGRATION TO APPLICATION ROLE within the application's setup script.
E. Grant the OWNERSHIP privilege on the API integration to the application package using Snowsight.

Answer: D

Explanation:
The correct answer is B. To allow a Snowflake Native Application to utilize an API integration in a consumer's account, you must explicitly grant the USAGE privilege on the API integration to the application role. This is done using the 'GRANT USAGE ON INTEGRATION' command within the application's setup script. Ownership (A) is not appropriate, as the application doesn't need to own the integratiom Option C is incorrect; explicit granting is required. Option D is partially correct in that the function needs execute permission, but the function needs to be linked to the API integration. Option E only applies to data sharing, not API integrations within a Snowflake Native App context.

NEW QUESTION # 106
A provider is developing a Snowflake Native Application that uses a managed task to perform critical data transformations. The provider wants to ensure the managed task is only ever executed when the application is in a 'RUNNING' state. They have defined a secure view which returns a single row and a column named 'status' of type VARCHAR. The provider intends to use the 'EXECUTE MANAGED TASK' privilege in conjunction with a user-defined function (UDF) to control task execution. Which of the following approaches, utilizing a UDF and the 'EXECUTE MANAGED TASK' privilege, will correctly and securely prevent the managed task from running unless the application status is 'RUNNING'? Assume the UDF is created with the 'SECURE keyword.

A. Create a UDF that returns TRUE only if 'SELECT status FROM app_db.app_schema.app_status_view' returns 'RUNNING'. Then, in the managed task definition, use the WHEN clause with the UDF. Grant 'EXECUTE MANAGED TASK' on the managed task and 'SELECT on the to the application role.
B. Create a UDF that executes ' if 'SELECT status FROM app_db.app_schema.app_status_view' returns 'RUNNING'. Grant 'EXECUTE MANAGED TASK' on the managed task to the application role. Grant SELECT on the view.
C. Create a UDF that executes 'SYSTEM$TASK SUSPEND('app_db.app_schema.my_managed_task'Y if 'SELECT status FROM app_db.app_schema.app_status_view' does not return 'RUNNING', otherwise executes Grant 'EXECUTE MANAGED TASK' on the managed task to the application role. Grant 'SELECT on the view.
D. create a UDF that executes if 'SELECT status FROM app_db.app_schema.app_status_view' does not return 'RUNNING'. Grant 'EXECUTE MANAGED TASK' on the managed task to the application role. Do not grant SELECT on the view.
E. Create a UDF that returns TRUE only if 'SELECT status FROM app_db.app_schema.app_status_view' returns 'RUNNING'. Then, in the managed task definition, use the WHEN clause with the UDF. Grant 'EXECUTE MANAGED TASK' on the managed task to the application role. Do not grant SELECT on the view.

Answer: E

Explanation:
Option C is the most secure and correct approach. By using a UDF within the 'WHEN' clause of the managed task definition, the execution of the task is conditionally dependent on the output of the UDF, which in turn checks the application status view. Crucially, it avoids granting direct SELECT access to the consumer for the status view, preserving application data security. SYSTEM$TASK_SUSPEND/RESUME should be used as the last resource, if other things are failing. Option A incorrectly grants select access to the consumer. Options B, D and E attempt to directly manipulate the task state, this not secure and reliable. The correct solution is to use a UDF with the 'WHEN' clause to achieve conditional task execution without granting unnecessary privileges.

NEW QUESTION # 107
You are developing a Snowflake Native App that requires uploading multiple large data files (each > 50MB) to a stage for processing. Due to network limitations, you need to optimize the upload process. You have already created the stage and have necessary privileges. Which of the following approaches would be most effective for uploading the files efficiently?

A. Compress the files into a single ZIP archive before uploading using the 'PUT' command.
B. Utilize Snowflake's internal staging using 'PUT command on Internal stage for smaller file and external stage for larger file and then copy the larger file from external to internal by referencing file URL.
C. Use the Snowflake Visual Studio Code (VS Code) extension's built-in file upload feature, which automatically handles parallel uploads.
D. Use the 'PUT ' command with the 'PARALLEL' option enabled in SnowSQL.
E. Write a Python script leveraging the Snowflake Connector for Python to upload the files using multi-threading or asynchronous operations.

Answer: D,E

Explanation:
Options A and C are the most effective. Option A leverages SnowSQL's 'PARALLEL' option for concurrent uploads. Option C allows fine-grained control over upload concurrency using Python. Option B is less reliable for guaranteed performance tuning. Option D can introduce unnecessary overhead. Option E will increase complexity, so its not a direct approach to optimize upload process.

NEW QUESTION # 108
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. 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.
B. Disable event logging entirely for high-volume UDFs to eliminate the performance overhead.
C. Write event data directly to an external cloud storage system (e.g., AWS S3, Azure Blob Storage) bypassing Snowflake's Event Tables altogether.
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. Increase the frequency of event table flushes to reduce the number of events buffered in memory. This minimizes memory pressure and write latency.

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 # 109
You're developing a Snowflake Native App with a Streamlit I-Jl. The app needs to read configuration data from a file named within your application package. The file contains sensitive information, and you want to ensure it's only accessible by your application's code and not directly readable by the consumer. What steps would you take to accomplish this?

A. Store 'config.json' within the Streamlit code, and then encode and decode it to the original string when the user invokes the Streamlit application.
B. Store 'configjson' outside the application package and read it directly from an external stage at runtime.
C. Store 'config.json' in a table within your application's schema and grant the 'SELECT' privilege on the table to the consumer's role.
D. Store 'config.json' within the application package and read it using Python code within a stored procedure. Grant appropriate privileges on the stored procedure, but not on the 'config.json' file or the internal stage.
E. Store 'config.json' in an internal stage and grant the 'READ' privilege on the stage to the consumer's role.

Answer: D

Explanation:
The best approach is to store the 'config.json' file within the application package and access it using Python code within a stored procedure. By granting privileges only on the stored procedure and not on the 'config.json' file itself or the internal stage, you ensure that the consumer cannot directly read the configuration data. Option A exposes it directly to the consumer. Option C would need to be encrypted, which adds complexity. Option D means the configuration is outside your application package. Option E is simply obfuscation and not encryption and hence should be avoided.

NEW QUESTION # 110
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