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Snowflake NAS-C01 Exam Syllabus Topics:

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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q54-Q59):

NEW QUESTION # 54
You are developing a Snowflake Native Application that allows consumers to schedule data transformations using a stored procedure.
This stored procedure needs to be able to access and update a configuration table within your application package, as well as read data from the consumer's tables. Which of the following approaches are valid and secure ways to grant the stored procedure the necessary privileges?

A. Use the 'EXECUTE AS CALLER clause when creating the stored procedure and grant the application role 'USAGE' on the schema containing the stored procedure. This allows the stored procedure to execute with the privileges of the user calling it.
B. Create a custom role within the application package with the necessary privileges to access the configuration table and the consumer's data. Grant this custom role to the stored procedure using the 'EXECUTE AS OWNER clause and the application role 'USAGE' on the schema containing the stored procedure.
C. Create a secure view that exposes only the necessary columns from the consumer's tables. Grant the stored procedure 'SELECT privilege on the secure view using the ' EXECUTE AS OWNER clause and the application role 'USAGE on the schema containing the stored procedure.
D. Grant the 'OWNERSHIP' privilege on the application package to the role executing the stored procedure. This provides the stored procedure with full control over all objects within the package.
E. Grant the application role 'SELECT' and 'UPDATE privileges directly on the configuration table within the application package and the consumer's tables. This allows the stored procedure to access and modify the data as needed using the ' EXECUTE AS OWNER clause.

Answer: B,C

Explanation:
Options C and D are correct. Using ' EXECUTE AS OWNER with a custom role that has limited privileges (to access config and use secure view) is a secure approach. Option B is incorrect because 'EXECUTE AS CALLER will use the calling user's privileges, but since the application is running on customer data, the calling user's privileges have no role to play. Option A is not good because giving complete ownership is discouraged for security reason. Option E is discouraged as its best to not directly access consumer tables and use a secure view instead.

NEW QUESTION # 55
Your Snowflake Native Application uses a combination of stored procedures and UDFs. You've implemented robust logging within your application to track usage and potential errors. You want to grant a Snowflake support engineer temporary access to these logs for troubleshooting purposes, minimizing the risk of exposing sensitive consumer dat a. Select the two statements below that describe best practices to ensure security and efficiency.

A. Grant the support engineer OWNERSHIP of the database containing the logging tables. This allows them full access for troubleshooting.
B. Create a dedicated view on the logging table that filters out sensitive data (e.g., PII) and grant the support engineer SELECT privileges on this view.
C. Create a new user role specifically for support and grant this role SELECT privileges on the logging tables without any filtering.
D. Use a temporary table to copy the relevant log data, mask sensitive information using 'MASKING POLICY or 'ANONYMIZATION' and grant the support engineer SELECT access to the temporary table. Schedule the table to drop automatically after a short period (e.g. 24 hours).
E. Implement row-level security (RLS) policies on the logging table to restrict access based on the support engineer's role.

Answer: B,D

Explanation:
Options A and D are the most secure and efficient methods. Option A creates a restricted view, limiting the data the engineer can see. Option D uses masking and temporary tables to provide access to anonymized data for a limited time. Granting ownership (B) provides excessive permissions. RLS (C) is valid, but more complex for temporary access. The best practice is to avoid granting access directly to raw data or granting unnecessary privileges. Option E lacks security considerations by granting direct access to raw unfiltered data.

NEW QUESTION # 56
You are developing a Snowflake Native Application and need to implement robust logging for troubleshooting purposes. You want to capture detailed information about function calls, including input parameters and return values. Which of the following approaches offers the MOST comprehensive and secure solution for logging within a Snowflake Native Application, considering the limitations imposed by the Snowflake environment?

A. Leveraging Snowflake's event tables and configuring the application to emit custom events, then creating views on those event tables within the consumer's account.
B. Using 'SYSTEM$LOG' with debug level logging and capturing logs in a secure internal stage, managed by the provider, ensuring data privacy and limited consumer access.
C. Employing 'EXECUTE IMMEDIATE to write log messages directly to a dedicated logging table within the consumer's account.
D. Writing log messages to an external stage (e.g., AWS S3, Azure Blob Storage) that is accessible to both the provider and consumer accounts.
E. Using ' SYSTEM$LOG' with trace level logging and store the logs into internal stage, accessible only by the application's service user.

Answer: B

Explanation:
Option E is the most secure and comprehensive. 'SYSTEM$LOG' allows for structured logging. An internal stage ensures that the consumer does not have direct access to sensitive log data. The provider maintains control, addressing security concerns. Options A and C are less secure, as they might expose sensitive application data. Option D is generally discouraged for sensitive information due to compliance concems, and Option B is problematic because 'EXECUTE IMMEDIATE' inside an application package will be blocked.

NEW QUESTION # 57
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. Use the Snowflake Visual Studio Code (VS Code) extension's built-in file upload feature, which automatically handles parallel uploads.
B. Compress the files into a single ZIP archive before uploading using the 'PUT' command.
C. 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.
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 # 58
You are tasked with automating the creation of Snowflake Marketplace listings for several Native Applications. The application metadata, pricing tiers, and listing descriptions are stored in a JSON file. Which Snowflake feature(s) or approach would best facilitate the automated creation and management of these listings?

A. Directly upload the JSON file to a Snowflake stage and use a stored procedure to parse the JSON and create listings using SQL commands.
B. Develop a custom Python script that uses the Snowflake Connector for Python to execute SQL commands to create and configure listings by parsing data from the JSON file.
C. Utilize the Snowflake UI's 'Create Listing' wizard, manually entering the data for each application from the JSON file.
D. Use the Snowflake CLI (if available) along with a scripting language like Bash to automate the listing creation process.
E. Leverage Snowflake's REST API (if available) to programmatically create and manage listings based on the JSON data. Utilize 'SYSTEM$COREATE_PARKETPLACE_LISTING' function.

Answer: B,E

Explanation:
Automating Marketplace listing creation requires a programmatic approach. Manually entering data (A) is not suitable for automation. Directly uploading the JSON and parsing it with a stored procedure (E) is feasible but less efficient and scalable than options using dedicated APIs or connectors. The most suitable options are B and C. A Python script with the Snowflake Connector (B) allows for flexible and robust automation, enabling complex logic and error handling. Leveraging the Snowflake REST API (C) also provides a programmatic interface specifically designed for managing Snowflake resources (if such an API and specific function SYSTEM$CREATE MARKETPLACE LISTING exists). While a CLI (D) could be used, it is usually less feature-rich than the REST API or Connector for complex tasks.

NEW QUESTION # 59
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