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Snowflake NAS-C01 Exam Syllabus Topics:

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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q51-Q56):

NEW QUESTION # 51
A Snowflake Native Application uses a task 'aggregate_data' to aggregate dat a. This task is owned by the 'app_public' role and executes a stored procedure 'aggregate data proc'. Consumers have reported the task sometimes fails intermittently, citing permission issues, specifically related to accessing a specific table in the consumer account. The application provider has granted 'SELECT' privilege on the table to the 'app_public' role. However, the failures persist. What is the MOST LIKELY cause of the intermittent failures related to executing the task?

A. The stored procedure is executed with caller's rights (CALLER), and the 'EXECUTE TASK privilege wasn't granted correctly, which causes the user to randomly lose access on the Snowflake Ul.
B. The task 'aggregate_data' is executing with definer's rights (OWNER) of the application, so the grant of SELECT privilege to 'app_public' is sufficient, and there is likely an issue with transient network connectivity.
C. The stored procedure is executed with definer's rights (OWNER), so the privilege check occurs against the application provider's account, not the consumer's account.
D. The stored procedure is executed with caller's rights (CALLER), but the application role 'app_public' doesn't have sufficient warehouse privileges in the consumer account.
E. The stored procedure is executed with caller's rights (CALLER), but the application role 'app_public' doesn't have the ACTIVATION privilege on the task.

Answer: C

NEW QUESTION # 52
You are developing a Snowflake Native Application that needs to securely access data in a consumer's account. The application requires the consumer to grant specific privileges to a custom role created and managed within the application package. Which of the following steps are absolutely essential for correctly configuring the application package to ensure this secure data access, and how should the setup script handle the privilege granting?

A. Grant the 'USAGE privilege on the consumer's database and schema to the application's role within the setup script. This implicitly allows the application to read all data within that schema.
B. Create a share from the provider account to the consumer account, granting the consumer read access to the application package's data. Then, use a setup script to grant ownership of the data to the application role after installation.
C. The consumer must manually grant the necessary privileges to the application's role after the application is installed, as the application package cannot automatically modify the consumer's security settings.
D. Define the required privileges in the application package manifest (snowflake.yml). Ensure that the setup script includes commands to grant the specific privileges on the consumer's data to the application's custom role, using 'GRANT ON TO ROLE within an EXECUTE IMMEDIATE statement in the setup script. The setup script should also define the application role.
E. Utilize a service account to access the data, providing the service account's credentials as part of the application setup. The application will then use the service account to access the consumer's data.

Answer: D

Explanation:
Option B is correct because it outlines the necessary steps for secure data access in a Snowflake Native Application. The application package manifest informs Snowflake about the app's requirements. The setup script handles granting privileges using EXECUTE IMMEDIATE' because the application role doesn't exist in the consumer account until installation. Options A, C, D, and E are incorrect because they either describe insecure practices, inaccurate assumptions about application capabilities, or fail to address the secure granting of privileges to the application's role within the consumer's environment. Shares are not used to grant privileges to roles in the consumer account; privileges must be granted directly. Consumers are not typically required to manually grant privileges. Service accounts are not a supported method. 'USAGE' does not provide read access to the tables.

NEW QUESTION # 53
You are the provider of a Snowflake Native Application built with Scal
a. Consumers are reporting that a specific UDF, 'calculate_risk' , occasionally returns incorrect results for certain input datasets. You suspect an issue with the UDF's logic but struggle to reproduce the problem in your development environment. Given that you cannot directly access the consumer's data, what are the most effective strategies for diagnosing this issue?

A. Request the consumer to execute the UDF with the problematic datasets and provide the resulting incorrect output. Then, use Snowflake's query history and lineage features to trace the data flow and identify potential issues in the UDF's logic.
B. Request the consumer to provide anonymized sample data that triggers the issue. Use this data in your development environment to debug the UDF.
C. Modify the UDF to include a 'debug' mode that performs additional checks and assertions. The consumer can enable this mode to collect diagnostic information and report any failures back to the provider. Consumer shares the error logs/code
D. Implement comprehensive unit tests for the 'calculate_risk' UDF, covering a wide range of input values and edge cases. Ensure these tests pass before deploying new versions of the application.
E. Implement logging within the 'calculate_risk' UDF to capture input parameters and output values for a sample of executions. Store these logs in a secure table accessible only to the provider, subject to data governance policies. Utilize Snowflake's masking policies to mask the sensitive data and allow the provider to see only masked version, not the actual sensitive data.

Answer: C,D,E

Explanation:
Options B, C, and D are all valid strategies. Robust unit testing (B) helps prevent future issues. Logging input/output (C) provides valuable insights into UDF behavior. A debug mode (D) allows consumers to assist in diagnostics without exposing their data directly. Option A could violate data privacy, and option E is less effective as query history might not reveal the root cause within the UDF's logic.

NEW QUESTION # 54
You are developing a Snowflake Native App that performs complex data transformations and offers different pricing tiers based on usage. You plan to use Snowflake Usage Metering Events to track consumer usage. Which of the following is the MOST appropriate approach to track usage and associate it with the correct pricing tier in your setup script and application code?

A. Call 'SYSTEM$METER USAGE with a dynamic event name that encodes the pricing tier and complexity of the transformation. Store the mapping of event names to pricing in a configuration table within your app.
B. Create a view on the APP USAGMETERING_HISTORY view to capture usage data. Call 'SYSTEM$METER USAGE from with in the View.
C. Call 'SYSTEM$METER USAGE with a fixed event name and quantity for each transformation, regardless of complexity or pricing tier.
D. Call 'SYSTEM$METER USAGE without specifying an event name. Aggregate usage data based on query history in the consumer account to determine pricing.
E. Avoid using 'SYSTEM$METER USAGE altogether and rely on Snowflake's built-in resource monitoring to track usage for billing.

Answer: A

Explanation:
Using a fixed event name (A) doesn't allow for differentiation between pricing tiers. Relying on query history (C) or resource monitoring (D) is not reliable or precise for application-specific usage. Calling 'SYSTEM$METER_USAGE from a view (E) isn't the intended way to track usage. The best approach is to use dynamic event names that reflect the pricing tier and complexity, enabling accurate tracking and billing (B).

NEW QUESTION # 55
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 Snowflake CLI (SnowSQL) with the 'PUT command, enabling automatic retries and parallel uploads.
B. Using the Snowsight web interface directly to upload the file in a single operation.
C. Breaking the file into smaller chunks (e.g., 100 MB each) and uploading them sequentially using Snowsight.
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.

Answer: A

Explanation:
The Snowflake CLI (SnowSQL) with the 'PUT command is the most efficient and recommended way to upload large files to Snowflake. It supports automatic retries, parallel uploads (which can significantly improve performance), and compression. Snowsight's web interface is not designed for large file uploads and is more prone to errors. While chunking is a valid approach, SnowSQL handles this automatically.

NEW QUESTION # 56
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