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| Section | Weight | Objectives |
|---|
| Snowflake Native Applications Installation and Testing | 20% | - Install and test native applications
- 1. Validate application functionality and performance
|
| Snowflake Native App Framework Overview | 20% | - Understand Snowflake architecture, features, tools, and best practices
- 1. Account security and access management
- 2. Data sharing and protection mechanisms
- 3. Cloud-based computing and storage concepts
|
| 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
|
| Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
- 1. Use Snowflake's marketplace
- 2. Use data sharing for app interoperability
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q164-Q169):
NEW QUESTION # 164
You are developing a Native App on Snowflake that collects usage data from consumer accounts. You need to store this data securely and efficiently, and you anticipate that the volume of data will grow rapidly. Which of the following strategies would you consider to OPTIMIZE storage and query performance for this usage data within the application?
- A. Implement a data retention policy to automatically purge older usage data that is no longer needed.
- B. Use clustering keys on columns commonly used in queries, such as timestamp and consumer account ID. Consider data compression options if available.
- C. Partition the usage data table by consumer account ID to isolate data from different consumers.
- D. Store all usage data in a single table and rely on Snowflake's automatic clustering to handle performance.
- E. Create separate tables for each consumer account to store their usage data.
Answer: A,B
Explanation:
Implementing a data retention policy reduces storage costs and improves query performance by removing unnecessary data. Using clustering keys optimizes query performance by physically organizing the data based on frequently queried columns. Storing all data in a single table (A) may lead to performance issues as the table grows. Partitioning (B) doesn't exist in Snowflake. Creating separate tables per account (C) can become unmanageable at scale.
NEW QUESTION # 165
An application developer is creating a Snowflake Native App that uses a user-defined function (UDF) 'MY UDF' in 'APP SCHEMA' The UDF reads data from a table 'APP TABLE' which is also in "APP SCHEMA'. The application role is 'APP ROLE'. Which of the following 'GRANT' statements are necessary for the application to function correctly within the provider account , assuming the UDF is defined with 'VOLATILE' behavior and is using the caller's rights (i.e., 'EXECUTE AS CALLER)?
Answer: C
Explanation:
The SAPP ROLE' needs 'USAGE' on the database and schema, 'EXECUTE' on the UDF, and 'SELECT on the table the UDF reads from because the UDF executes as the caller and the application needs those permissions within the provider account. 'OWNERSHIP' and 'ALL PRIVILEGES are not necessary, and generally bad practice for least-privilege security.
NEW QUESTION # 166
A customer is attempting to install your Snowflake Native Application from the Snowflake Marketplace, but the installation fails. You need to troubleshoot the issue. Which of the following steps would provide the most direct and relevant information for diagnosing the cause of the installation failure?
- A. Review the Snowflake Marketplace listing details to ensure all required components and dependencies are accurately specified.
- B. Examine the application's code repository for any recent changes that might have introduced errors.
- C. Check the Snowflake system status page for any reported outages or incidents that might be affecting the Marketplace.
- D. Ask the customer to share their Snowflake account identifier to check internal logs.
- E. Query the view in the consumers account to retrieve detailed information about the installation attempt, including error messages and status codes.
Answer: E
Explanation:
Option C directly addresses the problem. The 'SNOWFLAKE.MARKETPLACE.APPLICATION INSTALLATION HISTORY' view provides granular details about installation attempts, including specific error messages that can pinpoint the root cause. Option A checks application's code. Option B checks the marketplace listing. Option D can only confirm service issues, but not resolve customer issue. Option E asks the customers snowflake account identifier, this is not recommended approach.
NEW QUESTION # 167
You are developing a Snowflake Native Application and want to implement robust observability and telemetry. Which of the following approaches will enable you to effectively monitor the application's performance, identify errors, and collect usage metrics within the consumer's account?
- A. Implement custom logging using 'SYSTEM$LOG' and store application logs in a separate table within the application's container. Configure grants to allow the application developer to access these logs.
- B. The consumer is responsible for implementing observability and telemetry. The application developer cannot implement observability features that function within the consumer's account.
- C. Rely solely on Snowflake's built-in query history and resource monitoring features in the consumer's account, as these automatically capture all application activity.
- D. Utilize to write log data to a secure table within the application and leverage views granted to the consumer to expose relevant metrics and error information. Ensure appropriate roles have access to the views.
- E. Directly access the consumer's system tables (e.g., 'SNOWFLAKE.ACCOUNT USAGE.QUERY HISTORY) to extract application-related metrics based on query identifiers generated by the application.
Answer: D
Explanation:
Option C is the most effective approach. Using 'SYSTEM$LOG' allows for structured logging within the application. Storing the logs in a secure table within the application container keeps the data isolated and controlled. Creating views and granting access to specific roles on the consumer side allows the application to expose relevant metrics and error information without granting direct access to the underlying log data. Options A, D, and E are incorrect because they do not provide a comprehensive and controlled observability solution managed by the application developer. Option B is incorrect because the application developer cannot directly access data created in the consumer's account after installation.
NEW QUESTION # 168
A data science team is developing a Native App on Snowflake that requires access to data from multiple customer accounts (Reader Accounts). They need to ensure strict data governance and minimize the risk of data leakage. Which of the following approaches provides the MOST secure and scalable solution for accessing and managing this cross-account data?
- A. Grant SELECT privileges directly to the application role on all relevant tables in the consumer accounts.
- B. Create a shared database from each consumer account containing views over the required tables, granting SELECT privileges on these views to the application role.
- C. Utilize secure data sharing with data clean rooms, exposing the required datasets via views on each data clean room.
- D. Package the data extraction logic directly into the Native App using User-Defined Functions (UDFs) that establish secure connections to each consumer account using separate credentials stored securely within the application package.
- E. Implement a data access service within the Native App that uses external functions to query data from consumer accounts, relying on network policies for security.
Answer: C
Explanation:
Secure data sharing provides the MOST secure and scalable solution. Data clean rooms add governance, limiting what data can be exposed, and simplifying setup. Options A and B expose data without fine-grained control; Option C introduces complexities with external function setup and network policies; Option D raises security concerns by managing consumer credentials within the application.
NEW QUESTION # 169
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