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| Section | Weight | Objectives |
|---|
| Topic 1: 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
|
| Topic 2: Snowflake Native Applications Installation and Testing | 20% | - Install and test native applications
- 1. Validate application functionality and performance
|
| Topic 3: 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
|
| Topic 4: Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
- 1. Use data sharing for app interoperability
- 2. Use Snowflake's marketplace
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q142-Q147):
NEW QUESTION # 142
You are designing a Snowflake Native Application that processes customer dat a. To comply with data residency requirements, you need to ensure that the application logic runs within the customer's Snowflake account, but the application code is owned and managed by your organization. Which of the following approaches BEST achieves this requirement while providing version control and updates?
- A. Use Snowflake's Data Sharing feature to directly share the database and schema containing the application logic with customers. Grant them ownership of these objects.
- B. Embedd the raw application code directly into the SETUP script so that it gets re-deployed on every run.
- C. Create a Docker container containing the application logic and deploy it as a Snowflake External Function. Share the container image with customers and instruct them to deploy it in their environment.
- D. Build the application logic as a set of stored procedures and UDFs within the application package. Provide a setup script that creates these objects in the customer's account during installation.
- E. Develop the application using Snowflake's Snowpark API and package the compiled code within the application package. The setup script will execute the Snowpark code within the customer's Snowflake account.
Answer: D,E
Explanation:
Options A and C are correct. Creating stored procedures and UDFs within the application package, along with a setup script, allows you to deploy the application logic to the customer's account while retaining ownership of the application package. Option C allows you to use Snowpark to write complex logic that can execute within the secure Snowflake environment. Option B is not ideal because it involves managing Docker containers outside of Snowflake. Option D violates the requirement to retain ownership of the application logic and potentially exposes sensitive data, and it also doesn't lend itself to easy version control for application code. Option E is incorrect, because the raw application code can get exposed during the process.
NEW QUESTION # 143
A Native Application deployed on Snowflake uses a warehouse 'APP WH'. You want to monitor the warehouse usage costs specifically attributed to this application. Which of the following approaches provides the MOST granular and accurate way to track these costs?
- A. Tag all queries originating from the application with a specific tag and then filter the 'QUERY_HISTORY view based on this tag and the warehouse name.
- B. Use the view and filter by 'USER_NAME associated with the application role.
- C. Rely on the total credits consumed by the account, as the application's usage is insignificant.
- D. Examine the 'WAREHOUSE METERING HISTORY view in the 'SNOWFLAKE database without any filtering.
- E. Create a separate warehouse solely for the application and then examine the 'WAREHOUSE METERING HISTORY view.
Answer: E
Explanation:
Creating a separate warehouse exclusively for the application is the most precise method. The view then provides accurate usage data. Tagging queries (Option B) is a viable alternative but requires diligent implementation and maintenance of the tagging strategy. Filtering 'QUERY_HISTORY by (Option D) may not accurately reflect costs if the role is used for other purposes. Examining without filtering (Option A) is too broad, and assuming the application's usage is insignificant (Option E) is incorrect for proper cost management.
NEW QUESTION # 144
You are developing a Snowflake Native Application using Snowpark Container Services. The application needs to access sensitive data stored in an internal stage, but you want to ensure that only the application's container service can access this stage and no other users or processes. How can you achieve this using network policies and ingress/egress rules?
- A. Create an ingress rule for the container service that allows only outbound traffic to the internet. Grant 'READ and 'WRITE privileges on the internal stage to the Native App's service account.
- B. Create an ingress rule for the container service that specifies allowed inbound connections and egress rule for the container service that only allows outbound traffic to Snowflake's internal endpoint for stage access. Grant 'READ and 'WRITE privileges on the internal stage to the Native App's service account.
- C. Create a network policy that allows inbound traffic from all IP addresses and attach it to the account. Grant 'READ and 'WRITE' privileges on the internal stage to the Native App's service account.
- D. Create an egress rule for the container service that allows outbound traffic only to Snowflake's internal IP address range. Create a network policy that allows inbound traffic only from the container service's egress IP address. Grant 'READ and 'WRITE privileges on the internal stage to the Native App's service account.
- E. Create a network policy that allows inbound traffic only from the specific IP address range of the Snowflake region where the container service is running. Grant READ and 'WRITE privileges on the internal stage to the Native App's service account.
Answer: B
Explanation:
Option A provides no security. Option B relies on Snowflake's region IP addresses, which are not guaranteed and may change. Option C focuses on outbound traffic from the container service but doesn't properly restrict inbound access. Option D restricts outbound traffic unnecessarily and doesn't address inbound security. Option E is the MOST secure. It uses ingress and egress rules to control both inbound and outbound traffic for the container service and grants the necessary privileges to the service account. Ingress rule to specify the allowed inbound connection, and egress rule to only allow connection to snowflake's internal endpoint for stage access. This prevents other processes/users from accessing the stage.
NEW QUESTION # 145
You are packaging a Snowflake Native App that includes Python code and several supporting data files (e.g., configuration files, sample datasets). What are the correct steps to upload these files to a stage for inclusion in your application package, and how do you ensure the Python code is correctly referenced?
- A. Use the Snowflake web interface to upload all files to an internal stage. Reference the Python code within the setup.py file using relative paths.
- B. Use the 'snowcli' command-line tool to upload the files to a stage. In the setup.py file, ensure that the Python code is referenced correctly, and the data files are listed as package data.
- C. Upload the Python code directly to a Snowflake UDF using the web interface. Upload the data files to an external stage accessible via a URL, and reference them in the application code.
- D. Use 'snowcli' to create and manage stages. Structure the application directory appropriately, listing Python code and data files in 'manifest.yml' for correct packaging.
- E. Employ the Snowflake JDBC driver to programmatically upload the files to an internal stage. Update the setup.py file to install the Python dependencies and reference the data files as resources.
Answer: B,D
Explanation:
'snowcli' is the recommended tool for managing Snowflake Native App development, including stage management and file uploads. The 'setup.py' file is crucial for specifying dependencies and including data files as package data. Newer native apps use 'manifest.ymr to declare stage resources and dependencies. Using JDBC for uploading is possible, but less convenient than 'snowcli' . Referencing files via URLs from external stages introduces unnecessary complexity and security risks. Direct uploading to UDFs is not a method for including all app assets.
NEW QUESTION # 146
You are developing a Snowflake Native Application that processes sensitive financial data. You need to implement robust logging and auditing to comply with regulatory requirements. Which of the following strategies would provide the MOST secure and comprehensive auditing and logging solution within the context of a Snowflake Native App?
- A. Utilize Snowflake's Event Tables to capture application events. Ensure proper role-based access control is in place to restrict access to the event data within the provider account. Masking and Row Access policies should be applied before writing to event tables.
- B. Implement logging to an external service such as AWS CloudWatch or Azure Monitor, streaming data directly from UDFs using external functions. Implement data redaction within the UDFs before sending data externally.
- C. Rely solely on Snowflake's ACCOUNT_USAGE views and information schema tables within the consumer account.
- D. Use Snowflake's stages to write the event logs and then create the external table on top of it to process the data.
- E. Implement custom logging using UDFs that write directly to a table accessible only within the provider account. Use masking policies to protect sensitive data before logging.
Answer: A
Explanation:
Snowflake Event Tables provide a native, secure, and auditable way to track application events within the provider account. They are designed for observability and telemetry within the secure context of Snowflake. While options B and D are possible, they introduce complexities and potential security vulnerabilities related to managing access to external systems and ensuring data protection during transit. Option A provides insufficient application-specific logging. Option E, uses stages but not the snowflake event tables, stages are not the most suitable for application- specific data.
NEW QUESTION # 147
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