Snowflake NAS-C01 valid study dumps : SnowPro Specialty - Native Apps

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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native Application that uses Snowpark Container Services. Your application consists of multiple containerized services that require varying levels of computational resources. You want to optimize resource utilization and minimize costs by using a single Compute Pool for all services, while ensuring that each service has guaranteed access to resources. Which of the following strategies and SQL commands (or configurations) can be used to achieve this?

A) Use a single Compute Pool and rely on the container orchestration system to dynamically allocate resources among the services. Monitor utilization and adjust the Compute Pool size as needed. No SQL commands are needed.
B) Create a resource monitor and assign it to the COMPUTE POOL to manage cost. Resource monitors cannot be used to granular control the compute pool usage for native applications.
C) Create separate Compute Pools for each service, sizing each pool according to the service's peak resource requirements.
D) Create a single Compute Pool and configure resource quotas for each service using container orchestration-specific configurations (e.g., Kubernetes resource quotas). While not directly managed via SQL, proper configuration of the container orchestrator is required.
E) Use a single Compute Pool, create separate user-defined functions (UDFs) for each service and control resource allocation using the 'RESOURCE MONITOR parameter for each UDF.

2. Consider the following setup script intended to install a Snowflake Native Application in test mode. The application relies on a custom role 'APP ROLE' and a secured view 'SECURE VIEW'. Analyze the script and identify which line, if any, contains a critical error that would prevent successful testing:

A)

B)

C)

D)

E)

3. As a Native App Provider, you've identified a performance bottleneck in a query against a table within your application's container due to an inefficient join. The query is part of a view exposed to consumers. Which of the following actions would be MOST effective in improving the query performance while minimizing disruption to consumers?

A) Create a search optimization policy on columns used in the 'WHERE' clause in the view. This does not require any changes from the consumers.
B) Rewrite the query in the view definition to use a more efficient join algorithm (e.g., using hints). Consumers will automatically benefit from the improved performance.
C) Implement a scheduled task to regularly update the statistics of the table involved in the join. This will help the query optimizer make better decisions, and consumers will see improved performance gradually.
D) Add a 'CLUSTER BY clause to the underlying table based on the join keys. Consumers will automatically benefit from improved query performance without any changes on their end.
E) Create a materialized view in place of the existing view, pre-computing the join results. This will require consumers to update their queries to use the new materialized view name.

4. You are developing a Snowflake Native Application and need to track changes made to the application code across different versions. You want to leverage Snowflake's built-in capabilities for version control and auditing. Which of the following approaches is the MOST suitable and efficient for achieving this?

A) Use Snowflake's Streams feature to capture changes made to application code objects and store them in a separate change table for auditing.
B) Manually maintain a change log in a separate Snowflake table, documenting each code modification with associated version numbers and timestamps.
C) Utilize Snowflake's Information Schema views (e.g., 'INFORMATION_SCHEMA.PROCEDURES, 'INFORMATION SCHEMA.FUNCTIONS) in conjunction with Time Travel to query historical metadata and code definitions.
D) Integrate with an external version control system (e.g., Git) and store application code and deployment scripts in the repository. Use CI/CD pipelines to manage deployments to Snowflake.
E) Use Snowflake's Time Travel feature to query historical versions of application code objects (e.g., stored procedures, UDFs) and compare differences between versions.

5. You've deployed a Snowflake Native Application to the Marketplace. A consumer reports an issue, and after investigating, you suspect a vulnerability related to SQL injection within a stored procedure. You want to implement best practices to mitigate this risk. Which of the following strategies are recommended to secure the stored procedure against SQL injection?

A) Use parameterized queries or prepared statements whenever possible to prevent user input from being directly interpreted as SQL code.
B) Encode all user input before inserting it into SQL queries to neutralize potentially harmful characters.
C) Implement strict input validation and sanitization to ensure that user input conforms to expected data types and patterns.
D) Disable all external network access from within the stored procedure environment.
E) Grant 'OWNERSHIP' privilege to the stored procedure to prevent unauthorized modifications.

Solutions: