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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Snowflake Native App Framework Overview	20%	- Understand Snowflake architecture, features, tools, and best practices 1. Account security and access management 2. Cloud-based computing and storage concepts 3. Data sharing and protection mechanisms
Snowflake Native Applications Design and Creation	35%	- Create and manage billing events and cost monitoring techniques 1. Formulate Snowflake native application workflows and procedures - Apply Snowflake best practices while building native application workloads 1. Design scalable applications 2. Build, distribute, and monetize apps in Snowflake
Snowflake Native Applications Installation and Testing	20%	- Install and test native applications 1. Validate application functionality and performance
Snowflake Native Applications Deployment	25%	- Build, version, and release native applications 1. Use Snowflake's marketplace 2. Use data sharing for app interoperability

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q204-Q209):

NEW QUESTION # 204
You are developing a Snowflake Native Application that provides a data enrichment service. This service requires the consumer to grant the application access to a specific table in their account. You want to ensure that upgrades to your application do not inadvertently break existing consumer configurations. You decide to use a versioned schem a. Which of the following steps are essential during the setup script execution to achieve this and maintain backward compatibility during future upgrades?

A. Define a custom role within the application package and grant it the necessary privileges to read the consumer's table via a secure view. Then, grant the application role the USAGE privilege on this custom role. This ensures that the application role can assume the custom role's privileges for data access.
B. Create a versioned schema using 'CREATE SCHEMA VERSION = ' . Grant the application role 'USAGE on this versioned schema, and ensure all application logic references objects within this schema.
C. Grant the application role 'OWNERSHIP on the consumer's table directly. This allows the application full control and ensures consistent data access regardless of future schema changes within the application.
D. Create a secure view in the versioned schema that accesses the consumer's table. Grant the application role 'SELECT on this secure view. This provides a stable interface that isolates the application from direct changes to the consumer's table.
E. Create a new unversioned schema named 'APPLICATION' and install all application objects within it. This provides a consistent namespace for all consumers, regardless of the application version.

Answer: B,D

Explanation:
Options B and D are correct. Creating a versioned schema allows for managing changes in your application's data structures. By creating a secure view and granting the application role 'SELECT on it, you isolate your application from direct modifications to the consumer's table, ensuring backward compatibility. Option A is incorrect because an unversioned schema doesn't address the need for backward compatibility during upgrades. Option C is generally discouraged due to security concerns of granting ownership. Option E, while useful, is not the core reason to use a versioned schema to protect from consumer changes.

NEW QUESTION # 205
An ISV is developing a data analytics application using Snowflake Native Apps. The application allows consumers to define custom data refresh schedules. These schedules are managed by stored procedures within the application. The stored procedures need to update a shared table (using SQL MERGE command) located in a different database (managed by the ISV) within the consumer's account. The Application provider doesn't want to give access to the underlying tables to the consumer. To achieve this, which of the following GRANT statements are needed to configure the correct set of privileges for the ISV's Application Role(s) to perform MERGE operations from inside the consumer's environment? (Select all that apply.)

A. GRANT SELECT ON ALL TABLES IN DATABASE TO ROLE ;
B. GRANT INSERT, UPDATE, DELETE ON TABLE .. TO ROLE ;
C. GRANT USAGE ON SCHEMA TO ROLE ;
D. GRANT ALL PRIVILEGES ON WAREHOUSE TO ROLE ;
E. GRANT USAGE ON DATABASE TO ROLE ;

Answer: B,C,E

Explanation:
To perform MERGE operations, the ISV application needs the following privileges: USAGE on the ISV database. USAGE on the ISV schema. INSERT, UPDATE, and DELETE on the shared table. SELECT is not enough for MERGE. Granting ALL PRIVILEGES on the warehouse is too broad and unnecessary for the specific task. Granting select on all tables is not required either as you're targeting a single table for DML operation.

NEW QUESTION # 206
A data science team is developing a Snowflake Native Application that provides predictive analytics for financial institutions. The application requires access to usage data from consumer accounts, but only aggregated and anonymized data should be exposed. As the application provider, you need to grant the necessary privileges while adhering to the principle of least privilege. Which combination of global privileges and application logic will achieve this?

A. Grant the IMPORTED PRIVILEGES global privilege on the account and rely on data sharing agreements to control access to the aggregated and anonymized data.
B. Grant the USAGE global privilege on the account and implement stored procedures within the application that perform the aggregation and anonymizatiom
C. Grant the ACCOUNTADMIN role to the application and rely on the application code to filter and anonymize the data.
D. Create a custom role with the MONITOR USAGE global privilege, grant this role to the application, and use secure views within the application to expose only the aggregated and anonymized data.
E. Grant the READ global privilege on the account metadata and use Snowflake's masking policies within the application to anonymize sensitive data.

Answer: D

Explanation:
Granting the MONITOR USAGE global privilege to a custom role and then granting that role to the application is the most appropriate approach. This adheres to the principle of least privilege by only granting the necessary privilege. Secure views provide an additional layer of security and data governance by controlling exactly what data is exposed to the application, ensuring that only aggregated and anonymized data is accessible. Options A, B, D, and E either grant excessive privileges or rely on application code for security, which is less secure than using Snowflake's built-in features.

NEW QUESTION # 207
You are developing a Snowflake Native Application that processes sensitive customer dat a. You need to ensure that the application is secure and compliant with data privacy regulations. Which of the following security measures are MOST effective when designing your application package? (Select TWO)

A. Bypass Snowflake's RBAC and authentication to manage access within the application.
B. Store all sensitive data in external stages managed by the provider account to isolate it from the consumer's Snowflake environment.
C. Encrypt all data at rest and in transit using Snowflake's built-in encryption features.
D. Use obfuscation techniques on the data within the application, making it harder to be read.
E. Implement role-based access control (RBAC) to restrict access to sensitive data based on user roles within the application.

Answer: C,E

Explanation:
Encrypting data at rest and in transit (A) is crucial for protecting sensitive information. Implementing RBAC (B) ensures that only authorized users can access specific data, enhancing security and compliance. Storing data in provider-managed external stages (C) would not allow consumer access to the data via Snowflake's data sharing capabilities. Obfuscation(D) is not the strongest mechanism. Bypassing Snowflake's RBAC(E) is a security risk and should never be done.

NEW QUESTION # 208
A Snowflake Native App provider is using a Snowpark Python UDF to process data before writing it to an event table for consumption by consumer applications. The UDF fails intermittently with a 'Java heap space' error. Which of the following strategies are MOST effective in mitigating this error?

A. Configure the event table function to use a larger warehouse size using the EXECUTE AS OWNER clause.
B. Increase the warehouse size used by the consumer application instance, as this controls the memory available to the UDF during event processing.
C. Switch to a Java UDF instead of a Python UDF, as Java UDFs inherently have better memory management in Snowflake.
D. Optimize the Python UDF code to use more memory-efficient data structures and algorithms, reducing overall memory consumption.
E. Implement batch processing within the UDF to process data in smaller chunks, reducing the memory footprint at any given time.

Answer: D,E

Explanation:
B and D are correct. B: Batch processing avoids loading the entire dataset into memory at once. D: Optimizing the code to be memory-efficient directly addresses the root cause. A is incorrect as warehouse size for the consumer application is not the controling factor for UDF event processing. C is incorrect because the warehouse size of the provider application instance controls UDF size, not consumer warehouse size. E is incorrect because switching the UDF language doesn't fundamentally solve the memory problem if the underlying code is still inefficient.

NEW QUESTION # 209
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