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Snowflake NAS-C01 Exam Syllabus Topics:

SectionWeightObjectives
Snowflake Native Applications Deployment25%- Build, version, and release native applications
  • 1. Use Snowflake's marketplace
  • 2. Use data sharing for app interoperability
Snowflake Native Applications Installation and Testing20%- Install and test native applications
  • 1. Validate application functionality and performance
Snowflake Native App Framework Overview20%- Understand Snowflake architecture, features, tools, and best practices
  • 1. Data sharing and protection mechanisms
  • 2. Account security and access management
  • 3. Cloud-based computing and storage concepts
Snowflake Native Applications Design and Creation35%- 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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q236-Q241):

NEW QUESTION # 236
A Native App developer is using Snowflake's Event Tables for tracing the execution of their application. They have noticed a significant performance overhead when event logging is enabled, particularly for high-volume UDFs. Which of the following strategies would be MOST effective in mitigating the performance impact of event logging while still capturing valuable tracing information?

Answer: E

Explanation:
Option C offers the best balance between performance and valuable tracing information. Sampling allows you to reduce the volume of events logged, while conditional logging ensures that only relevant events are captured. Asynchronous logging further minimizes the performance impact. Option A is not desirable as it eliminates tracing altogether. Option B will not reduce overhead. Option D is a good strategy but doesn't address high logging volumes. Option E may not be compliant or possible.


NEW QUESTION # 237
Your team is developing a Snowflake Native App that requires access to network resources outside of Snowflake. After configuring an external access integration, you encounter an error indicating that the application cannot access the specified endpoint, even though the integration appears to be correctly configured. Assuming all network policies are in place and the external access integration is correctly defined, what is the MOST likely cause of this issue and how can it be resolved?

Answer: B,E

Explanation:
The application role needs 'IMPORTED PRIVILEGES on the external access integration to utilize its settings (A). Also, the specific external functions or procedures within the application that are leveraging the external access integration require the 'REFERENCE USAGE privilege on the integration (E). Without both privileges granted, the application won't be able to access the external resources defined in the integration. Option B 'USAGE' is not the correct privilege for external access integrations. While options C and D could be potential issues, they are less likely if the integration appears to be correctly configured.


NEW QUESTION # 238
You're developing a Snowflake Native App. Part of your application logic involves using a UDF (User-Defined Function) to perform complex calculations on data residing in a table within the consumer's Snowflake account. Which of the following statements correctly describes how you would package and deploy this UDF within your Native App using the application package?

Answer: C

Explanation:
The UDF needs to be created within a schema in the application package. The application role needs USAGE privilege on the schema containing the UDF, and the application can then execute the UDF.


NEW QUESTION # 239
You are developing a Native App on Snowflake that collects usage data from consumer accounts. You need to store this data securely and efficiently, and you anticipate that the volume of data will grow rapidly. Which of the following strategies would you consider to OPTIMIZE storage and query performance for this usage data within the application?

Answer: A,C

Explanation:
Implementing a data retention policy reduces storage costs and improves query performance by removing unnecessary data. Using clustering keys optimizes query performance by physically organizing the data based on frequently queried columns. Storing all data in a single table (A) may lead to performance issues as the table grows. Partitioning (B) doesn't exist in Snowflake. Creating separate tables per account (C) can become unmanageable at scale.


NEW QUESTION # 240
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?

Answer: D

Explanation:
When a stored procedure is executed by a task, the stored procedure runs with the rights of the OWNER by default. This means that even if you grant 'SELECT privilege on the table to 'app_public' (the task's role), if the stored procedure is executing with definer's rights, it is checking the privileges in the application provider's account, not the consumer's. Therefore, the application provider's account needs to have SELECT privilege on the table. It is unlikely there is any issues related to warehouse rights, or that they would resolve transient network connectivity issues. The EXECUTE TASK' privilege only relates to being able to execute the task, not what the task can access.


NEW QUESTION # 241
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