NAS-C01受験対策、NAS-C01模試エンジン

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Snowflake NAS-C01 Exam Syllabus Topics:

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

>> NAS-C01受験対策 <<

NAS-C01模試エンジン、NAS-C01模擬対策問題

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Snowflake SnowPro Specialty - Native Apps 認定 NAS-C01 試験問題 (Q200-Q205):

質問 # 200
You are developing a Snowflake Native Application that uses Snowpark Container Services. Your application consists of multiple containerized services that require varying levels of computational resources. You want to optimize resource utilization and minimize costs by using a single Compute Pool for all services, while ensuring that each service has guaranteed access to resources. Which of the following strategies and SQL commands (or configurations) can be used to achieve this?

A. Use a single Compute Pool, create separate user-defined functions (UDFs) for each service and control resource allocation using the 'RESOURCE MONITOR parameter for each UDF.
B. Use a single Compute Pool and rely on the container orchestration system to dynamically allocate resources among the services. Monitor utilization and adjust the Compute Pool size as needed. No SQL commands are needed.
C. Create separate Compute Pools for each service, sizing each pool according to the service's peak resource requirements.
D. Create a resource monitor and assign it to the COMPUTE POOL to manage cost. Resource monitors cannot be used to granular control the compute pool usage for native applications.
E. Create a single Compute Pool and configure resource quotas for each service using container orchestration-specific configurations (e.g., Kubernetes resource quotas). While not directly managed via SQL, proper configuration of the container orchestrator is required.

正解：B、E

解説：
Option B is valid because the underlying container orchestration system dynamically allocates resources. Option C is also valid because resources can be configured in container orchestration systems to achieve resource guarantees for each service. Creating separate compute pools may be costly and inefficient in terms of resource management. Resource Monitors are for cost control not fine-grained service-level resource management. It provides control to monitor cost. The correct configuration of the container orchestrator is critical to achieve desired outcomes.

質問 # 201
You've developed a Snowflake Native Application and are preparing to release a new version. You want to ensure that if any critical issues are detected after the upgrade, you can quickly revert users back to the previous stable version. Which combination of Snowflake features and best practices should you implement to facilitate a seamless rollback process? Select all that apply.

A. Implement robust logging and monitoring within your application to quickly identify and diagnose any issues after the upgrade.
B. Keep the previous stable version staged in the application package. If issues arise with the new version, use release directives to direct users back to the previous version by modifying the 'ACTIVATE_AT parameter or using tags.
C. Before staging the new version, create a full backup of all data warehouses used by your application in consumer accounts.
D. Before staging the new version, create a new version of the application package with a lower version number that points to the previous stable version's code. Use ALTER APPLICATION' to downgrade users.
E. Utilize the 'UNSTAGE VERSION' command to immediately remove the problematic version from all consumer accounts.

正解：A、B

解説：
Options C and E are the correct approaches. Implementing robust logging and monitoring (Option C) is crucial for quickly identifying and diagnosing issues after the upgrade. Keeping the previous stable version staged and using release directives to revert users back to it (Option E) provides a clean and controlled rollback mechanism. Option A is not feasible and cost prohibitive due to backup across multiple consumers. Option B, 'UNSTAGE_VERSION' is not designed for that rollback approach and it is too aggressive. Option D, downgrading using lower version number, will also cause confusion. Maintaining a stable version and dynamically switching using release directives is the best approach.

質問 # 202
You are developing a Snowflake Native App using Python that performs complex data transformations using UDFs and external functions. During consumer testing, you observe intermittent 'Remote service timed out' errors when calling the external function. The external function is hosted on AWS Lambd a. Which combination of the following actions would BEST address this issue, ensuring reliability without compromising security?

A. Cache the results of the external function calls in a Snowflake table to reduce the number of calls to the external service, and implement robust error handling and logging in both the Snowflake UDF and the Lambda function. Always return a value, even in case of error.
B. Implement retry logic in the Python code calling the external function with exponential backoff, and configure Snowflake to use a larger warehouse size to improve network bandwidth. Furthermore, check if AWS Lambda throttles the execution of requests.
C. Migrate the external function to a Snowflake Java UDF to minimize network latency, and reduce the payload size sent to the external function. Verify that the AWS Lambda function and Snowflake instance are in the same region.
D. Implement queue-based processing for external function calls using Snowflake streams and tasks, leverage a message queue service (e.g., SQS) to buffer requests, and ensure the Lambda function has sufficient concurrency and is not being throttled.
E. Increase the timeout setting for the external function in Snowflake, optimize the Lambda function code for faster execution, and monitor Lambda function metrics (e.g., duration, errors) using CloudWatch. Also, increase the memory allocation for the AWS Lambda function.

正解：E

解説：
Increasing the timeout in Snowflake, optimizing the Lambda function's performance (including code optimization and increasing memory allocation), and monitoring Lambda metrics are critical for addressing timeout issues. Lambda timeouts can occur if the function takes too long to execute, so increasing the timeout and optimizing performance can directly mitigate this. Furthermore, checking Lambda function metrics in CloudWatch can provide valuable insights into the root cause of performance problems. This combination tackles both the symptom (timeouts) and potential underlying causes (slow execution, resource constraints). Other answers only deal with some of the issues; without a performance-focused perspective, the problem could persist.

質問 # 203
Consider a scenario where a Snowflake Native Application contains a task named "daily data sync'. This task needs to be executed in the consumer's account. To enable proper monitoring and governance within the consumer's account, the consumer wants to tag the executions of this task. Which of the following actions must the application provider take to ensure that the consumer can successfully tag the 'daily data sync' task executions without compromising the security of the application or requiring the consumer to have elevated privileges on the application database?

A. The provider must grant the OWNERSHIP privilege on the task to the consumer's account role, allowing the consumer to set tags directly.
B. The provider must grant the APPLY TAG privilege on the account to the consumer s account role.
C. The provider cannot enable the consumer to tag the task executions without granting elevated privileges on the application database or compromising security; tagging is solely the provider's responsibility.
D. The provider must grant the APPLY MASKING POLICY privilege on the task to the consumer's account role, enabling the consumer to configure tags via masking policies.
E. The provider must grant the APPLY TAG privilege on the task to the consumer's account role. No other configuration is necessary.

正解：B

解説：
Granting the 'APPLY TAG' privilege on the account to the consumer s account role enables the consumer to tag objects (including task executions) within their own account. This approach avoids granting elevated privileges on the application database or compromising the application's security, as the consumer is only able to apply tags and not modify the underlying task definition or data. The 'APPLY MASKING POLICY privilege is irrelevant for tagging, and 'OWNERSHIP' is too broad, potentially compromising security. Providers can create tasks with appropriate roles and grants to permit tagging for consumers.

質問 # 204
You are developing a Snowflake Native Application. During internal testing, you need to simulate different consumer account environments to validate the application's behavior under various conditions (e.g., different Snowflake editions, security configurations). What are the recommended methods for setting up these test environments WITHIN the constraints of the Snowflake Native App framework?

A. Employ multiple developer accounts with different configurations to simulate consumer environments, package your application from each account and test it. Additionally, use parameters within the setup script to configure application behavior.
B. Create multiple Snowflake accounts, each representing a different consumer environment, and install the application in each account.
C. Utilize Snowflake's Resource Monitors to limit the resources available to the application, simulating a consumer environment with limited compute.
D. Use Snowflake's cloning capabilities to create multiple clones of your developer account, each with different configurations, and install the application in each clone.
E. Develop a configuration file within the application that allows you to simulate different consumer environments. Implement logic in the application code to adapt to these simulated environments.

正解：A、E

解説：
While creating multiple Snowflake accounts (Option A) is a valid approach, it can be resource-intensive. Option C & E (Employ configuration files within the application and Multiple Developer Accounts) is the MOST practical within the Snowflake Native App framework. By developing configuration files and multiple developer accounts and their setups, the application can adapt its behavior to simulate different consumer environments without the overhead of managing multiple full Snowflake accounts. Using parameters during installation also adds flexibility.

質問 # 205
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NAS-C01試験資料の3つのバージョンのなかで、PDFバージョンのNAS-C01トレーニングガイドは、ダウンロードと印刷でき、受験者のために特に用意されています。携帯電話にブラウザをインストールでき、私たちのNAS-C01試験資料のApp版を使用することもできます。 PC版は、実際の試験環境を模擬し、Windowsシステムのコンピュータに適します。

NAS-C01模試エンジン: https://www.goshiken.com/Snowflake/NAS-C01-mondaishu.html