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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Snowflake Native App Framework Overview	20%	- Native application concepts and architecture 1. Application packages and structure 2. Manifest files and setup scripts
Deployment and Marketplace Publishing	25%	- Distribution and lifecycle management 1. Version upgrades and release management 2. Marketplace listings and publishing
Installation, Testing and Troubleshooting	20%	- Validation and debugging 1. Tracing and troubleshooting workflows 2. Logging and event tables
Native Application Design and Creation	35%	- Application development workflow 1. Building and versioning applications 2. Application roles and privileges

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q153-Q158):

NEW QUESTION # 153
A developer is building a Snowflake Native App that requires secure storage of sensitive application configuration dat a. Which of the following Snowflake features is the MOST appropriate to use within the application package to manage and secure this data?

A. Encrypting the data with a customer-managed key (CMK) stored outside of Snowflake and decrypting it within a UDF.
B. Using a Stage to store encrypted configuration files, accessible by the application using external functions.
C. Snowflake Stored Procedures with 'CALLER rights, encrypting the data within the procedure.
D. Storing the data in a standard Snowflake table within the application package, relying on Snowflake's built-in encryption.
E. Snowflake Secrets, accessed via SQL commands and managed through object privileges.

Answer: E

Explanation:
Snowflake Secrets are specifically designed for storing sensitive information like API keys and passwords within Snowflake. They provide a secure way to manage and access this data without exposing it directly in code. They leverage Snowflake's object privileges to control access.

NEW QUESTION # 154
You are developing a Snowflake Native Application and need to implement robust logging for troubleshooting purposes. You want to capture detailed information about function calls, including input parameters and return values. Which of the following approaches offers the MOST comprehensive and secure solution for logging within a Snowflake Native Application, considering the limitations imposed by the Snowflake environment?

A. Employing 'EXECUTE IMMEDIATE to write log messages directly to a dedicated logging table within the consumer's account.
B. Writing log messages to an external stage (e.g., AWS S3, Azure Blob Storage) that is accessible to both the provider and consumer accounts.
C. Using 'SYSTEM$LOG' with debug level logging and capturing logs in a secure internal stage, managed by the provider, ensuring data privacy and limited consumer access.
D. Leveraging Snowflake's event tables and configuring the application to emit custom events, then creating views on those event tables within the consumer's account.
E. Using ' SYSTEM$LOG' with trace level logging and store the logs into internal stage, accessible only by the application's service user.

Answer: C

Explanation:
Option E is the most secure and comprehensive. 'SYSTEM$LOG' allows for structured logging. An internal stage ensures that the consumer does not have direct access to sensitive log data. The provider maintains control, addressing security concerns. Options A and C are less secure, as they might expose sensitive application data. Option D is generally discouraged for sensitive information due to compliance concems, and Option B is problematic because 'EXECUTE IMMEDIATE' inside an application package will be blocked.

NEW QUESTION # 155
You're developing a Snowflake Native App with a Streamlit I-Jl. The app needs to read configuration data from a file named within your application package. The file contains sensitive information, and you want to ensure it's only accessible by your application's code and not directly readable by the consumer. What steps would you take to accomplish this?

A. Store 'config.json' within the Streamlit code, and then encode and decode it to the original string when the user invokes the Streamlit application.
B. Store 'config.json' in an internal stage and grant the 'READ' privilege on the stage to the consumer's role.
C. Store 'config.json' in a table within your application's schema and grant the 'SELECT' privilege on the table to the consumer's role.
D. Store 'configjson' outside the application package and read it directly from an external stage at runtime.
E. Store 'config.json' within the application package and read it using Python code within a stored procedure. Grant appropriate privileges on the stored procedure, but not on the 'config.json' file or the internal stage.

Answer: E

Explanation:
The best approach is to store the 'config.json' file within the application package and access it using Python code within a stored procedure. By granting privileges only on the stored procedure and not on the 'config.json' file itself or the internal stage, you ensure that the consumer cannot directly read the configuration data. Option A exposes it directly to the consumer. Option C would need to be encrypted, which adds complexity. Option D means the configuration is outside your application package. Option E is simply obfuscation and not encryption and hence should be avoided.

NEW QUESTION # 156
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 in a secure stage with encryption and grant SELECT privilege to the application role.
B. Hardcode the API key directly into the application code within a UDF (User-Defined Function).
C. Store the API key as a secret using Snowflake's Secret Management feature and reference it within a secure UDE
D. Create a key-pair stored procedure. Storing the API key as a secret, then decrypting the key during each API call.
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: C

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 # 157
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. 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.
B. 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.
C. 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.
D. Employ a combination of Snowflake Snowpipe Streaming for data ingestion and Dynamic Tables for continuous, incremental data transformations within the application's managed database.
E. 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.

Answer: D

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 # 158
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