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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. Cloud-based computing and storage concepts 2. Data sharing and protection mechanisms 3. Account security and access management
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
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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q359-Q364):

NEW QUESTION # 359
A Snowflake Native Application developer is deploying a Snowpark Container Services service. The 'service.yamr file includes the following configuration snippet for defining the service's endpoint:

A. Set 'useTls' to true under ports specification. No changes are required to the 'service.yaml' file.
B. Update the port configuration to use port 443 and set the protocol to 'TLS'. Snowflake automatically handles TLS termination for SPCS services on port 443.
C. Add a TLS certificate and key to the Kubernetes Secret referenced by the 'tls' field in the Ingress configuration. Also, update the port configuration to reflect port 443.
D.
E. Configure the container application itself to handle TLS termination using a self-signed certificate. No changes are required in the 'service.yaml' file.

Answer: B

Explanation:
Snowflake manages TLS termination for SPCS services on port 443, which simplifies the configuration. By updating the port configuration to use port 443 and setting the protocol to 'TCP' (since Snowflake handles TLS termination), the service will correctly handle HTTPS requests. The snippet needed to be updated is

.Option B (Kubernetes Secrets) refers to details more for standard Kubernetes outside SNOW.Option D is not Snowflake best practice.Option A (code snippet) is incomplete and confusing.

NEW QUESTION # 360
You are packaging a Snowflake Native App and need to ensure that consumer accounts can only access specific data views you've created within your application schem a. You want to prevent consumers from directly querying the underlying tables. Which of the following security measures, when implemented together, BEST achieve this objective? (Choose two)

A. Grant 'SELECT' privilege on the underlying tables to the 'application role' within the application package.
B. Grant 'SELECT privilege only on the views to the 'application role' within the application package.
C. Use secure views to expose data, ensuring data access is controlled through the view's definition.
D. Do not grant any privileges on the underlying tables to the 'application role' within the application package.
E. Grant "OWNERSHIP' on the views to the 'application role' within the application package.

Answer: B,C

Explanation:
The combination of granting ' SELECT only on the views (Option B) and using secure views (Option E) provides the strongest data security. Granting select on the views allows consumers to see the data you want them to see. Secure views prevent consumers from circumventing the view definition to access underlying tables, even if they had theoretical privileges (which they shouldn't). Not granting any privileges on tables(C) is correct in conjunction with (B&E), but on its own consumers will not see any data as they can't select from any object. Giving application role ownership to View(D) is not necessary to give consumer access to view the data.

NEW QUESTION # 361
Consider the following Python code snippet used within a Streamlit application deployed as a Snowflake Native App:

A. The code will fail because the Snowflake Connector for Python requires explicit connection parameters to be defined even within a Native App context.
B. The code requires using the 'snowflake.snowpark' library instead of for optimized performance within native apps.
C. The code will fail with a privilege error if the 'app_public' role does not have OWNERSHIP of the table 'my_table' .
D. The code will execute successfully, assuming that Smy_table' exists, and the 'app_public' role has at least SELECT privilege on 'my_table' and USAGE privilege on the schema containing 'my_table' .
E. The code will execute without any privilege errors, assuming the necessary database and schema privileges are granted to the 'app_public' role.

Answer: D

Explanation:
The correct answer is D. When running within a Snowflake Native App, the Snowflake Connector for Python automatically uses the current session context, eliminating the need for explicit connection parameters. The code will execute successfully provided that the 'app_public' role has the appropriate privileges, which includes 'SELECT on 'my_table' and 'USAGE on the schema containing the table. Option A is partially correct, but option D provides more specific privilege requirements. Option B is incorrect because explicit connections aren't needed. Option C is incorrect because 'OWNERSHIP' isn't required, only 'SELECT. Option E is incorrect; using 'snowflake.snowpark' may offer performance benefits for data processing, but using "snowflake.connectofl is viable for simple queries.

NEW QUESTION # 362
You are developing a Native App on Snowflake that needs to interact with an external REST API. To ensure proper security, you want to store the API key securely within the application package and use it for authentication. Which of the following is the MOST secure and RECOMMENDED method to accomplish this?

A. Store the API key as a secret using Snowflake's Secret Management feature and reference it within a secure UDE
B. Store the API key in a secure stage with encryption and grant SELECT privilege to the application role.
C. Create a key-pair stored procedure. Storing the API key as a secret, then decrypting the key during each API call.
D. Hardcode the API key directly into the application code within a UDF (User-Defined Function).
E. Store the API key in a table within the application database with minimal access control, relying on Snowflake's data encryption at rest.

Answer: A

Explanation:
Snowflake's Secret Management offers the most secure way to store and manage sensitive information like API keys. It allows you to store secrets securely and reference them within UDFs, preventing direct exposure. Options A, B and D introduce security risks by storing the API key in less secure ways or directly in code. Option E introduces unnessary complexity.

NEW QUESTION # 363
You are developing a Snowflake Native Application that performs complex data transformations. As part of your development lifecycle, you need to ensure that your code behaves idempotently even when facing intermittent network errors or unexpected disruptions. Consider the following function written in Snowpark Python that updates a table:

What modification is necessary to make this function idempotent against disruptions during the writing process to Snowflake and unexpected execution?

A. Wrap the 'df.write' operation in a retry mechanism with exponential backoff to handle intermittent network errors.
B. Leverage Snowflake's 'TRANSACTIONAL_REPLICATION' to replicate the operations to minimize data loss in between failures.
C.
D. Create a temporary table, write the transformed data to the temporary table, and then atomically rename the temporary table to the original table name.
E. Use a 'MERGE statement to selectively update only changed rows, while ignoring existing ones.

Answer: D

Explanation:
Option C provides the best approach to guarantee idempotency. Creating a temporary table, writing the data to it, and then atomically renaming it ensures that the table is either fully updated or remains in its original state. If failures happen after the creation of temporary table and before it is renamed (a failure which is assumed to be very rare), then, after code recovery and execution, the table would be first created and then atomically renamed, thus achieving idempotency. Retrying writes (B) can help with network errors but doesn't inherently guarantee idempotency if the write partially succeeds before the error. 'append' (A) leads to duplicate data in the event of re-execution. 'MERGE (D) might lead to data inconsistency depending on the transformation logic. 'TRANSACTIONAL REPLICATION' (E) is a good approach for disaster recovery but will not help to resume the execution, after recovering the code after failure, at the point where it failed before.

NEW QUESTION # 364
......

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