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| Section | Weight | Objectives |
|---|
| Topic 1: Advanced Features & Management | 20% | - Governance and compliance - Integration with Snowpark and external services - Billing events and cost monitoring - Event logging and telemetry
|
| Topic 2: Application Installation & Testing | 20% | - Debugging and troubleshooting - Provider and consumer workflows - Testing strategies and validation - Installation procedures and dependencies
|
| Topic 3: Application Deployment & Distribution | 25% | - Publishing to Snowflake Marketplace - Upgrades and lifecycle management - Versioning and release management - Listing types and monetization
|
| Topic 4: Application Design & Creation | 35% | - Native App Framework architecture - Manifest files and configuration - Application packages and objects - Security and access control - Setup scripts and application logic
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q222-Q227):
NEW QUESTION # 222
Your Snowflake Native Application uses a combination of stored procedures and UDFs. You've implemented robust logging within your application to track usage and potential errors. You want to grant a Snowflake support engineer temporary access to these logs for troubleshooting purposes, minimizing the risk of exposing sensitive consumer dat a. Select the two statements below that describe best practices to ensure security and efficiency.
- A. Create a dedicated view on the logging table that filters out sensitive data (e.g., PII) and grant the support engineer SELECT privileges on this view.
- B. Create a new user role specifically for support and grant this role SELECT privileges on the logging tables without any filtering.
- C. Grant the support engineer OWNERSHIP of the database containing the logging tables. This allows them full access for troubleshooting.
- D. Implement row-level security (RLS) policies on the logging table to restrict access based on the support engineer's role.
- E. Use a temporary table to copy the relevant log data, mask sensitive information using 'MASKING POLICY or 'ANONYMIZATION' and grant the support engineer SELECT access to the temporary table. Schedule the table to drop automatically after a short period (e.g. 24 hours).
Answer: A,E
Explanation:
Options A and D are the most secure and efficient methods. Option A creates a restricted view, limiting the data the engineer can see. Option D uses masking and temporary tables to provide access to anonymized data for a limited time. Granting ownership (B) provides excessive permissions. RLS (C) is valid, but more complex for temporary access. The best practice is to avoid granting access directly to raw data or granting unnecessary privileges. Option E lacks security considerations by granting direct access to raw unfiltered data.
NEW QUESTION # 223
Consider the following scenario: You are tasked with designing a setup script for a Snowflake Native Application. This script needs to perform several tasks including creating a database role, granting privileges to the role, and creating a schem a. Your application also provides a configuration table that needs to be populated during the setup process. Which of the following set of statements are true regarding the order of operations and security best practices within the setup script? (Choose all that apply)
- A. It is best practice to create the database role before creating the schema, to immediately grant ownership on the schema to the created role.
- B. When granting privileges to the database role, use the 'APPLICATION' keyword to grant privileges on application objects, enhancing security and control.
- C. The setup script should always be designed to be idempotent, meaning it can be executed multiple times without causing errors or unintended side effects. Use 'CREATE ... IF NOT EXISTS' where appropriate.
- D. Setup Scripts should be designed in a way that it requires multiple manual interventions during execution.
- E. Populating the configuration table should be done before creating any other objects, as other parts of the application might rely on the configuration during object creation.
Answer: A,B,C
Explanation:
Option A is correct because creating the role first allows for immediate ownership and control over the newly created schema. Option B is correct as using the 'APPLICATIONS keyword when granting privileges is a key security best practice in Snowflake Native Apps. It allows for controlled access to the data within the Application. Option D is correct because idempotency ensures the setup process can be retried if interrupted without causing issues. Option C is incorrect because, While application configuration is important, object creation, like defining schemas and roles usually must preceed loading configuration, and depend on the existence of these core components. Option E is wrong since It should require minimal to zero manual intervension.
NEW QUESTION # 224
You are designing a setup script for a Snowflake Native Application. This script needs to perform the following actions: 1. Create a secure view that exposes a subset of data from a table owned by the provider account. 2. Grant 'SELECT privilege on this secure view to a specific role within the consumer account, but ONLY if that role already exists in the consumer account. 3. Create a UDF in the provider account which calls external function. This UDF needs access to a secret stored in a Snowflake secret object. Which of the following code snippets BEST implements these requirements, ensuring both security and proper privilege management?
Answer: D
Explanation:
Option B correctly implements all requirements. It uses a 'BEGIN...ENDS block with an statement to check for the existence of the 'consumer_role' before granting the privilege. This prevents errors if the role doesn't exist. Also it creates a UDF which utilizes Snowflake Secret object to fetch secretes. Using Javascript code inside UDF directly to fetch secrets is not allowed. Options A, C and D do not check for role existence and doesn't configure Snowflake secret object
NEW QUESTION # 225
You are developing a Snowflake Native Application that provides data enrichment services. You want to offer tiered pricing based on the number of API calls made by consumers. Which of the following is the most effective approach to implement usage-based billing and track API call consumption within your application?
- A. Leverage Snowflake's built-in metering framework using and 'SYSTEM$METER STAGE_STORAGE BYTES' to indirectly estimate API calls.
- B. Implement a custom logging mechanism within the application to track API calls and store the logs in a separate Snowflake database, accessible only to the provider. Use scheduled tasks to analyze these logs and generate billing data.
- C. Implement a UDF within the application that increments a counter in a shared table each time an API endpoint is called. Query this table to determine usage.
- D. Use Snowflake's resource monitors to limit the compute resources available to consumers based on their chosen tier.
- E. Utilize Snowflake's events table to capture API call events based on function executions, enabling precise tracking and reporting of API usage for each consumer.
Answer: C
Explanation:
Option A is the most effective as it directly tracks API calls within the application. Resource monitors (B) only control compute costs, not API usage. System$METER functions (C) track storage, notAPl calls. Custom logs (D) introduce complexity and security concerns. Snowflake's events table is a good general approach (E), but requires enabling detailed logging, which has performance implications and might not be available in all accounts. A shared table with a UDF provides the most direct and controllable way to meter usage.
NEW QUESTION # 226
You are developing a Snowflake Native Application that utilizes Snowpark Container Services (SPCS). Your application requires a Compute Pool configured with autoscaling capabilities to handle fluctuating workloads. However, you want to minimize costs when the application is idle. Which of the following considerations are MOST important when defining the 'MIN NODES' and 'MAX NODES' parameters for your Compute Pool, along with the 'AUTO RESUME setting?
- A. Compute Pool autoscaling is managed entirely by the underlying container orchestration system and Snowflake only provides basic resource allocation. The 'MIN NODES' and 'MAX NODES parameters are advisory only.
- B. The optimal configuration depends on the balance between cost and performance. A higher 'MIN_NODES' value provides faster initial response times but incurs higher costs when idle. 'AUTO RESUME should be set to TRUE if you want the pool to automatically restart based on incoming requests.
- C. Setting to a non-zero value ensures that some resources are always available, leading to faster response times for initial requests. 'AUTO RESUME' should be set to FALSE to prevent unnecessary resource usage.
- D. Setting to 0 allows the Compute Pool to scale down completely when idle, eliminating costs. 'AUTO_RESUME should be set to TRUE to automatically start the pool when a new request is received.
- E. The 'AUTO_RESUME parameter is irrelevant as the compute pool automatically scales based on current workload. should be set to the expected average workload.
Answer: B,D
Explanation:
Setting to 0 allows the pool to scale down completely, saving costs when idle. 'AUTO_RESUME' is crucial for automatically restarting the pool when needed. The optimal balance depends on specific application needs; a higher 'MIN NODES' improves initial response time but increases idle costs. Therefore, understanding this trade-off is crucial. AUTO RESUME is important for native application. MIN_NODES controls costs and response time.
NEW QUESTION # 227
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