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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are troubleshooting a Snowflake Native Application installation that consistently fails with a cryptic error message: 'Internal Application Error: Check application logs for details'. You have access to the application's code package but are unsure how to effectively gather detailed logs and telemetry data from the running application. Which strategy would provide the MOST comprehensive and maintainable observability solution within the Snowflake Native App framework?

A) Integrate a third-party logging framework (e.g., Log4j) into the application code and configure it to write logs to an external logging service accessible over the internet.
B) Rely solely on the error messages returned by Snowflake during application execution, as these are sufficient for identifying most installation issues.
C) Implement calls within the application code to write log messages directly to a Snowflake table owned by the application provider. Consumers can then query this table to view logs.
D) Leverage Snowflake's event tables and configure the application to emit custom events to these tables. Consumers can then subscribe to these events to monitor application behavior.
E) Utilize the view to analyze query execution patterns and identify potential bottlenecks within the application's SQL code.

2. You have successfully deployed your Snowflake Native Application Package to an external stage (AWS S3), but consumers are reporting they are not receiving updates after you deploy new versions to the external stage. You have verified that the IAM role, Snowflake integration, and S3 bucket policy are correctly configured. What steps should you take to troubleshoot and resolve this issue?

A) Ensure the S3 bucket has versioning enabled. Snowflake relies on S3 versioning to detect new application package versions.
B) Consumers must manually refresh their installed application instance using the command 'ALTER APPLICATION REFRESH;' after a new package version is deployed.
C) Verify that the SNOWFLAKE DEPLOYMENT role has been granted ownership of the Integration object used for accessing the external stage.
D) Grant the APPLICATION ROLE to the SNOWFLAKE DEPLOYMENT role on the application package. This allows the deployment process to automatically update the consumer instances.
E) Execute the 'ALTER APPLICATION PACKAGE REFRESH' command after each deployment to the external stage. This explicitly informs Snowflake to refresh the application package metadata.

3. You are developing a Snowflake Native Application that performs complex data transformations. You need to monitor the application's performance, identify bottlenecks, and track resource consumption. Which of the following approaches would effectively establish observability and telemetry for your application, ensuring you can gather granular insights into its operations?

A) Log all application events directly to Snowflake tables using stored procedures. Analyze these tables periodically using SQL queries to identify trends and anomalies.
B) Leverage Snowflake's event tables and Streamlit to visualize the performance and consumption of resources used by the application.
C) Integrate with a third-party monitoring service (e.g., Datadog, New Relic) by sending application metrics and logs via HTTP endpoints. Configure alerts and dashboards in the monitoring service.
D) Utilize Snowflake's Information Schema views (e.g., 'QUERY_HISTORY', to track query performance and resource usage. Correlate this data with application-specific events using custom logging.
E) Implement custom logging within your application code, writing log messages to a temporary stage. Periodically download and analyze these log files using external tools.

4. You are developing a Native Application that needs to access data from a consumer's table. The data contains personally identifiable information (PII), and your application requires explicit consent from the consumer to access this dat a. You have implemented a consent mechanism within your application's UI. Which of the following steps are NECESSARY to ensure compliance with data privacy regulations when accessing the consumer's data?

A) Use Snowflake's dynamic data masking policies on the PII columns and grant the application's service account the APPLY MASKING POLICY privilege. Revoke the UNMASK privilege from the application's service account.
B) Grant the SELECT privilege on the table directly to the application's service account after the consumer provides consent.
C) Implement a stored procedure that checks the consumer's consent flag. If consent is granted, the stored procedure retrieves and returns the requested data. Grant EXECUTE TASK privilege on the stored procedure to the application's service account.
D) Implement a secure view that filters the PII data unless the consumer's consent flag is set to TRUE in a separate consent table. Grant SELECT on the secure view to the application's service account.
E) Implement a row access policy on the table based on the consumer's consent flag, ensuring the application only sees data for consumers who have granted consent. Grant the SELECT privilege on the table to the application.

5. You are developing a Snowflake Native Application that processes sensitive dat a. During the application lifecycle management, including version updates, what steps should you take to ensure the data security and privacy of the consumers' data, especially considering that your development team might need access to a subset of the data for testing?

A) Utilize Snowflake's external functions to process the data in a secure enclave outside of Snowflake, minimizing the risk of data exposure. Ensure external functions called are encrypted.
B) Grant the development team direct access to the consumer's data warehouse to facilitate testing. Ensure proper auditing is enabled.
C) Use Snowflake's data classification features to identify sensitive data and implement row-level security to restrict access to the development team.
D) Create a separate Snowflake account for testing and populate it with synthetic data that mimics the structure and characteristics of the consumer's data.
E) Implement data masking and anonymization techniques to create a sanitized test dataset derived from the consumer's data. Provide the development team with access only to the masked data, via data sharing from the producer to consumer account.

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