Snowflake NAS-C01 : SnowPro Specialty - Native Apps

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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native Application that processes sensitive financial data. You need to implement robust logging and auditing to comply with regulatory requirements. Which of the following strategies would provide the MOST secure and comprehensive auditing and logging solution within the context of a Snowflake Native App?

A) Rely solely on Snowflake's ACCOUNT_USAGE views and information schema tables within the consumer account.
B) Implement custom logging using UDFs that write directly to a table accessible only within the provider account. Use masking policies to protect sensitive data before logging.
C) Utilize Snowflake's Event Tables to capture application events. Ensure proper role-based access control is in place to restrict access to the event data within the provider account. Masking and Row Access policies should be applied before writing to event tables.
D) Use Snowflake's stages to write the event logs and then create the external table on top of it to process the data.
E) Implement logging to an external service such as AWS CloudWatch or Azure Monitor, streaming data directly from UDFs using external functions. Implement data redaction within the UDFs before sending data externally.

2. You are tasked with deploying a new version of your Snowflake Native Application. The new version introduces significant schema changes to the data warehouse used by the application. What steps should you take during the deployment process to ensure a smooth transition and minimize downtime?

A) Use Snowflake's zero-copy cloning feature to create a copy of the existing database. Apply the schema changes to the cloned database, test thoroughly, and then promote the cloned database to production.
B) Notify all users that the application will be unavailable for several hours while the schema changes are applied directly to the production environment.
C) Deploy the new version as a staging version alongside the existing version. Implement data migration scripts to gradually move data to the new schema, and then switch the production traffic to the new version.
D) Immediately replace the existing application version with the new version. Snowflake will automatically handle any schema compatibility issues.
E) Modify the existing tables in place to reflect the new schema. Update your application's code to be compatible with the new schema after the changes are complete.

3. Your Snowflake Native Application persists data within its managed container. You need to implement a robust review process for logging to ensure compliance and prevent the exposure of sensitive information. Which of the following steps should be included in your review process? (Select all that apply)

A) Disabling logging in production environments to minimize the risk of data exposure.
B) Automated scanning of log messages for Personally Identifiable Information (PII) using regular expressions or pattern matching, and automatic redaction or masking of detected PII.
C) Periodic manual reviews of a sample of log messages by a designated security officer to ensure compliance with data privacy policies and identify any potential logging gaps or issues.
D) Implementation of role-based access control (RBAC) to restrict access to log data based on job function and the principle of least privilege.
E) Granting all application developers full access to all log data to facilitate debugging and troubleshooting.

4. A Snowflake Native App provider is troubleshooting an issue where consumer installations intermittently fail. The provider suspects that certain installation parameters are causing conflicts. The provider has implemented an event table to track installation attempts and errors. Which of the following SQL statements is the MOST effective way to identify the installation parameters that are most frequently associated with failed installations? Assume the event table is named "INSTALLATION EVENTS and contains columns 'INSTALLATION ID, 'STATUS' (success/failure), and PARAMETERS' (a VARIANT column storing a JSON object of installation parameters).

A)

B)

C)

D)

E)

5. A data engineer needs to upload a large (10 GB) data file to an internal stage within a Snowflake Native App package using Snowsight. Which of the following methods is the MOST efficient and recommended approach, considering factors like network stability and potential interruptions?

A) Using the Snowsight web interface directly to upload the file in a single operation.
B) Breaking the file into smaller chunks (e.g., 100 MB each) and uploading them sequentially using Snowsight.
C) Using the Snowflake CLI (SnowSQL) with the 'PUT command, enabling automatic retries and parallel uploads.
D) Using a third-party file transfer tool (e.g., rsync) to upload the file to an external stage and then copying it to the internal stage using Snowflake SQL commands.
E) Compress the file before uploading using Snowsight, this reduces size and ensures faster upload.

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