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Snowflake NAS-C01 Exam Syllabus Topics:

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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q112-Q117):

NEW QUESTION # 112
You are developing a Snowflake Native App that processes streaming data from a Kafka topic. The app needs to continuously ingest data, perform real-time transformations, and store the results in a Snowflake table within the app's managed database. Which Snowflake feature(s) and approach(es) are BEST suited for implementing this data ingestion and processing pipeline within the Native App?

A. Use Snowflake Pipes to continuously ingest data from the Kafka topic into a staging table and then use stored procedures to periodically transform and load the data into the target table.
B. Use a Snowflake Stream to capture changes in the Kafka topic and then use a Snowflake Task to periodically merge these changes into the target table.
C. Employ a combination of Snowflake Snowpipe Streaming for data ingestion and Dynamic Tables for continuous, incremental data transformations within the application's managed database.
D. Leverage Snowflake Snowpipe Streaming to ingest data directly from the Kafka topic into the target table, combined with Snowflake Tasks to handle any required data transformations.
E. Implement a custom Kafka consumer within a Java User-Defined Function (UDF) to read data from the Kafka topic and directly insert it into the target table.

Answer: C

Explanation:
Snowpipe Streaming offers the lowest latency and near real-time data ingestion capabilities. Dynamic Tables provide a declarative and managed way to perform continuous data transformations, making them ideal for processing streaming data within a Snowflake Native App. Options A, B, and C are less suitable for high-velocity streaming data due to latency and complexity concerns. Streams are for tracking changes within Snowflake tables, not external Kafka topics.

NEW QUESTION # 113
You are developing a Snowflake Native Application that processes customer order dat a. As part of the setup script, you need to create a shared database and a secure view to expose aggregated order statistics to consumer accounts. Which of the following is the MOST secure and efficient way to achieve this, considering data governance and performance?

A. Create a regular view in the application database using the APPLICATION role. Create a shared database and share the APPLICATION database. The consumer account then uses a local view pointing to the shared view.
B. Create a secure view in the application database using the APPLICATION role. Create a shared database and share the APPLICATION database. The consumer account then uses a local view pointing to the shared secure view.
C. Create a regular view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this view.
D. Create a secure view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this view.
E. Create a secure materialized view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this materialized view.

Answer: B

Explanation:
Creating a secure view in the application database with the APPLICATION role and then sharing the application database is the most secure option. Using the APPLICATION role ensures only the application can access the underlying data. Secure views ensure that data is masked according to the view's definition when accessed by consumers. Consumer accounts use a local view to interact with the shared data, providing an abstraction layer. Materialized views are generally not shared directly because they represent pre-computed data and may not reflect the latest changes.

NEW QUESTION # 114
A Snowflake Native App provider is designing an application. Select ALL of the necessary privileges a provider needs on an Application Package to successfully list, version and distribute the native application to consumer accounts?

A. IMPORTED PRIVILEGES
B. MONITOR
C. USAGE
D. OWNERSHIP
E. APPLY

Answer: D,E

Explanation:
The provider requires OWNERSHIP to manage the application package and APPLY to create versions and authorization grants, and IMPORTED PRIVILEGES is a privilege granted TO the consumer from the provider, not required to be owned by the provider. MONITOR is more applicable to usage monitoring and debugging, not core distribution privileges.

NEW QUESTION # 115
You are developing a Snowflake Native Application and want to implement robust observability and telemetry. Which of the following approaches will enable you to effectively monitor the application's performance, identify errors, and collect usage metrics within the consumer's account?

A. The consumer is responsible for implementing observability and telemetry. The application developer cannot implement observability features that function within the consumer's account.
B. Utilize to write log data to a secure table within the application and leverage views granted to the consumer to expose relevant metrics and error information. Ensure appropriate roles have access to the views.
C. Rely solely on Snowflake's built-in query history and resource monitoring features in the consumer's account, as these automatically capture all application activity.
D. Implement custom logging using 'SYSTEM$LOG' and store application logs in a separate table within the application's container. Configure grants to allow the application developer to access these logs.
E. Directly access the consumer's system tables (e.g., 'SNOWFLAKE.ACCOUNT USAGE.QUERY HISTORY) to extract application-related metrics based on query identifiers generated by the application.

Answer: B

Explanation:
Option C is the most effective approach. Using 'SYSTEM$LOG' allows for structured logging within the application. Storing the logs in a secure table within the application container keeps the data isolated and controlled. Creating views and granting access to specific roles on the consumer side allows the application to expose relevant metrics and error information without granting direct access to the underlying log data. Options A, D, and E are incorrect because they do not provide a comprehensive and controlled observability solution managed by the application developer. Option B is incorrect because the application developer cannot directly access data created in the consumer's account after installation.

NEW QUESTION # 116
You are developing a Snowflake Native Application that allows customers to enrich their dat a. The application involves executing Javascript UDFs. Which of the following practices are considered unacceptable regarding code practices within the UDFs to ensure the Native App complies with Snowflake's requirements and security best practices?

A. Directly embedding secrets (e.g., API keys, passwords) within the Javascript UDF code itself, even if obfuscated.
B. Using Javascript UDFs to access data not needed by the application to save on querying costs.
C. Using the SYSTEM$ALLOWLIST function to restrict external network access from the Javascript UDFs to a specific set of approved domains. Using Snowflake's network rules is also acceptable for newer accounts.
D. Relying solely on the consumer's network policy to manage external network access from the UDFs.
E. Using JavaScript's eval() function to dynamically execute code based on user input or data retrieved from external sources.

Answer: A,B,D,E

Explanation:
Options B, C, D and E are all unacceptable. Embedding secrets (B) directly in code is a major security risk. Using 'eval()' (C) opens the door to code injection vulnerabilities. Relying solely on the consumer's network policy (D) is insufficient; the application provider must also implement security measures. Javascript UDFs should only access required data by the application as this is also one of best practices regarding code practices within the UDFs. Option A is acceptable as it implements whitelisting of external network access.

NEW QUESTION # 117
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