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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q114-Q119):

NEW QUESTION # 114
A data provider is building a Snowflake Native Application that provides real-time stock market data through a Snowflake Marketplace listing. They have implemented a secure data sharing mechanism. To update the data in the listing with minimal downtime and ensure continuous availability for their consumers, which strategy should they employ?

A. Use tasks and streams to incrementally refresh the data in the shared database. Implement error handling to manage potential data inconsistencies.
B. Completely replace the underlying shared database with a new version during off-peak hours.
C. Utilize Snowflake's cloning feature to create a duplicate of the shared database, update the data in the clone, and then swap the original and cloned databases using 'ALTER DATABASE SWAP WITH'.
D. Create a new version of the Snowflake Native Application containing the updated data and deprecate the previous version. Consumers will need to migrate to the new version.
E. Perform direct updates to the tables within the shared database. Use SALTER TABLE ... SWITCH WITH' to minimize locking during the update process, creating new tables with updated data.

Answer: A

Explanation:
Using tasks and streams allows for incremental data updates, minimizing downtime and providing continuous data availability. Error handling is crucial for maintaining data consistency. Swapping databases is not possible because native apps control the database, and consumers access it via a share. Simply updating the table will cause downtime for consumers.

NEW QUESTION # 115
You've installed a Snowflake Native Application in your consumer account. You are trying to establish observability and telemetry to monitor its performance and identify potential issues. However, you notice that you only have limited visibility into the application's internal operations. Which actions should you take to enhance observability, assuming the provider has implemented appropriate mechanisms?

A. Request the application provider to grant you direct access to the application's internal logs and system tables.
B. Use Snowflake's Query Profile to analyze the execution plans of queries initiated by the application.
C. Enable detailed logging in your consumer account to capture all SQL statements executed by the application, then analyze these logs.
D. Examine the APPLICATION USAGE view in the SNOWFLAKE database to track resource consumption and query performance of the application's components.
E. Subscribe to events shared by the application provider through Snowflake's event sharing mechanism, if the provider has enabled it. Leverage shared views exposing specific metrics.

Answer: D,E

Explanation:
Option B is correct because the APPLICATION USAGE view provides valuable insights into the application's resource consumption and query performance from the consumer's perspective. Option C is correct because subscribing to shared events allows the consumer to receive specific metrics and alerts related to the application's behavior, assuming the provider has implemented event sharing. Requesting direct access (Option A) is generally not feasible or secure. Query profile (Option D) is difficult as consumer might not have the access to the query, as it is executed by the provider's application. Consumer account logging (Option E) would not capture the internal workings of the application.

NEW QUESTION # 116
You are deploying a containerized application within a Snowflake Native App using Snowpark Container Services (SPCS). This application needs to interact with Snowflake's metadata, specifically retrieving information about tables and views within the customer's account. Which of the following methods is the MOST appropriate and secure way to achieve this?

A. Using the 'snowflake-jdbc' driver directly within the container, configured with the customer's Snowflake account credentials, which are passed as environment variables.
B. Exposing a Snowflake UDF as an API endpoint that the container can call to retrieve metadata. The UDF executes the SQL queries against the INFORMATION SCHEMA.
C. Using the Snowflake CLI (snowsql) within the container, configured with the application's service account credentials, to execute queries against the INFORMATION SCHEMA.
D. Creating a REST endpoint within the container that accepts SQL queries as input and executes them against Snowflake using the application's internal service account, then returns the results as JSON.
E. Leveraging the Snowpark Python API within the container to execute SQL queries against the Snowflake INFORMATION_SCHEMA views.

Answer: E

Explanation:
Option B is the most appropriate and secure method. Snowpark Python API provides a secure and managed way to interact with Snowflake, leveraging the application's service account without exposing sensitive credentials directly within the container or requiring direct JDBC connections. Options A is highly insecure due to exposing credentials. Options C is viable, but requires extra management and maintenance of REST endpoint. Option D is possible but less secure than B for native apps. Option E adds unnecessary complexity.

NEW QUESTION # 117
You are developing a Snowflake Native Application that requires robust role-based access control. The application provides data transformation services to consumer accounts. You want to define distinct roles for different levels of access: 'TRANSFORMER_ADMIW (full control), 'TRANSFORMER USER (execute transformations), and 'TRANSFORMER OBSERVER (read-only access to metadata). In the setup script, which SQL statements are the MOST secure and efficient way to achieve this while adhering to Snowflake's recommended practices for application roles?

Answer: E

Explanation:
Option E is the MOST secure and recommended approach. It explicitly grants ownership to the role on the 'DATABASE and the 'SCHEMA' named 'app_stage' within the 'DATABASE. 'REVOKE CURRENT GRANTS' ensures that any previously granted privileges are removed, preventing unintended access. All roles are created within the 'app_public' schema to ensure they are application roles. All other roles are granted usage on the database and application schema in the 'app_db' database. Option A uses a naming convention where the schema names are identical to the role names, which is unusual and doesn't represent standard practices for Snowflake native applications. Options B lacks the important practice of creating the roles within the 'app_public' schema, rendering them non-application roles. Options C and D incorrectly refers to 'app_stage' outside the 'app_db' database, as it is not an fully qualified name.

NEW QUESTION # 118
You are managing a Snowflake Native Application that allows consumers to configure certain aspects of its behavior through a dedicated configuration table. The application logic relies on specific values within this table to function correctly. During a new version deployment, you need to ensure that existing consumer configurations are migrated to the new version's configuration table structure without disrupting the application's availability. Which of the following strategies would you use to perform a zero-downtime configuration migration?

A. Rename the existing configuration table to a backup name. Create a new configuration table with the new schema. The application will start using the new empty table, and consumers can manually reconfigure their settings.
B. Perform an in-place alteration of the existing configuration table to match the new schema. This might involve adding, dropping, or renaming columns. Update the application code to reflect these changes. If you need to rename tables, then use SALTER TABLE ... RENAME to minimize downtime.
C. Implement a parallel migration strategy. Create a new configuration table with the new schema alongside the existing one. Update the application code to read from both tables concurrently, prioritizing the new table if values are present. Schedule a background job to migrate data from the old table to the new table. Once the migration is complete and verified, switch the application to solely read from the new table and eventually drop the old one.
D. Deploy the new application version with a feature flag that disables the configuration table dependency. Run a script in the background to migrate the data to the new table and then flip the feature flag to enable the new configuration.
E. Drop the existing configuration table and recreate it with the new schema during the application upgrade process. The application will automatically adapt to the new schema once the upgrade is complete.

Answer: B,C

Explanation:
Options B and D offer the best approaches for zero-downtime configuration migration. Option B enables the application to read from both the old and new schema during the migration period. Option D provides that the application changes the schema and adapts to the new version, with using 'ALTER TABLE ... RENAME TO to prevent downtime. Option A will cause downtime, since the application has to be upgraded and recreated. Option C will also cause downtime, where the new configuration is empty and needs to be reconfigured. Option E can be used for the actual deployment process, but its best utilized with Option B or D for optimal results.

NEW QUESTION # 119
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