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| Section | Weight | Objectives |
|---|---|---|
| Snowflake Native Applications Design and Creation | 35% | - Create and manage billing events and cost monitoring techniques
|
| Snowflake Native Applications Installation and Testing | 20% | - Install and test native applications
|
| Snowflake Native App Framework Overview | 20% | - Understand Snowflake architecture, features, tools, and best practices
|
| Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
|
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NEW QUESTION # 215
You are developing a Snowflake Native Application that relies on external functions (UDFs or external functions using API integration) to enrich dat a. After installing the application in a customer's account, you observe that the external functions are failing intermittently. The error messages indicate network connectivity issues. Which of the following troubleshooting steps would be MOST effective in diagnosing and resolving this problem from the provider's perspective, assuming you cannot directly access the customer's network configuration?
Answer: C
Explanation:
Option B is the most effective approach because it combines resilience (retry logic) with observability (logging). By implementing retry logic with exponential backoff, the application can automatically recover from transient network issues. Logging failed attempts within the provider's environment allows you to analyze the problem without needing direct access to the customer's network configuration. Providing aggregated metrics to the customer allows them to monitor the application's health and identify potential network issues on their end. Option A requires the customer to have technical expertise and exposes your infrastructure details. Options C can add overhead for the consumer. Option D is costly, time consuming, or inappropriate and Option E needs external configuration.
NEW QUESTION # 216
Consider the following scenario: You're developing a Snowflake Native Application that requires both data loading and complex analytical queries. You plan to use separate warehouses to optimize performance and manage resources effectively. Given the requirements, which of the following warehouse configurations is the MOST appropriate?
Answer: D
Explanation:
Option D provides the best configuration. Using separate warehouses allows you to optimize each workload independently. SMALL' is often sufficient for data loading tasks, while a 'LARGE warehouse provides better performance for analytical queries. Setting 'MAX CONCURRENCY LEVELS on the analytical warehouse allows for better handling of multiple concurrent users or queries. Option A does not isolate workloads and can lead to performance bottlenecks. Option B only addresses size but not concurrency. Option C focuses only on auto- suspend, ignoring other warehouse parameters for optimizing workload.Option E is partially correct, because Initially_Suspended is good idea but does not help in complete warehouse setting.
NEW QUESTION # 217
You are designing a Snowflake Native Application that involves data sharing with consumers. You want to leverage a custom Python library 'data_transform.py' within your application package to perform specific data transformations on the shared data before it is accessed by consumers. This library contains sensitive logic and should not be directly visible or accessible by the consumer. Which of the following is the MOST secure and appropriate way to package and utilize this 'data_transform.py' library?
Answer: C
Explanation:
The most secure and appropriate way to package and utilize the custom library is to include it directly within your application package's source code and call its functions from within your application's procedures. This approach ensures that the library's sensitive logic remains encapsulated within your application and is not directly visible or accessible by the consumer. Only expose stored procedures with defined permissions and never the underlaying source code. Options A, UDFs, can be a way to expose code but also requires direct granting of USAGE which is not ideal. Option C, storing as an internal stage file, adds complexity and does not inherently improve security. Option D exposes code publicly, thus, this is incorrect. Option E can be hard to maintain.
NEW QUESTION # 218
You are publishing a Snowflake Native Application to the Marketplace. You've completed initial testing, and the application appears to function as expected. However, the security scan consistently fails with a 'Data Exfiltration' error. The application includes a stored procedure that aggregates data from several tables within the application container and writes the results to an external stage using the 'COPY INTO' command. Review the following code snippet:
Which of the following changes is MOST likely to resolve the 'Data Exfiltration' error during the security scan?
Answer: D
Explanation:
The 'Data Exfiltration' error indicates a potential risk of unauthorized data leaving the consumer's Snowflake environment. The root cause is often that the application provider has unrestricted control over where the data is exported. The solution is to require the consumer to control the external stage and explicitly grant the application usage privilege on it. This ensures that the consumer is aware of and approves the data export. Option A would break the functionality. Option B addresses data access within the container but doesn't prevent exfiltration if the application can still write to an uncontrolled stage. Option D adds complexity but doesn't fundamentally address the control issue. Option E restricts functionality unnecessarily.
NEW QUESTION # 219
Consider the following setup script snippet for a Snowflake Native Application:
What is the primary purpose of the 'WHERE NOT EXISTS' clause in the 'INSERT' statement within this setup script?
Answer: E
Explanation:
Option B is correct. The 'WHERE NOT EXISTS clause prevents duplicate entries for the 'api_endpoint' parameter. The setup script might run multiple times during application installations or upgrades, and without this clause, it would insert duplicate rows. Option A is incorrect, as the clause doesn't check if the entire table is empty. Option C is true to some extent, performance is one of the reasons but not the primary reason. Option D, The consumer account has no role to play here. Option E is wrong because it will do opposite as intended.
NEW QUESTION # 220
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