一生懸命にNAS-C01復習過去問 &合格スムーズNAS-C01テスト資料 |効果的なNAS-C01関連日本語版問題集

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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Application Deployment & Distribution	25%	- Listing types and monetization - Upgrades and lifecycle management - Publishing to Snowflake Marketplace - Versioning and release management
Application Design & Creation	35%	- Security and access control - Application packages and objects - Setup scripts and application logic - Native App Framework architecture - Manifest files and configuration
Advanced Features & Management	20%	- Governance and compliance - Event logging and telemetry - Billing events and cost monitoring - Integration with Snowpark and external services
Application Installation & Testing	20%	- Provider and consumer workflows - Testing strategies and validation - Debugging and troubleshooting - Installation procedures and dependencies

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Snowflake SnowPro Specialty - Native Apps 認定 NAS-C01 試験問題 (Q90-Q95):

質問 # 90
You are developing a Snowflake Native Application that manages customer dat a. You need to ensure that updates to customer records are idempotent. Your application uses a stored procedure 'update_customer(customer_id INT, new_email VARCHAR)' to update customer emails. How can you modify this procedure to guarantee idempotency, assuming that customer data changes are tracked with a 'last_updated' column of type TIMESTAMP NTZ?

A. Enclose the entire stored procedure within a 'TRY...CATCH' block and retry if any exception occurs.
B. Implement optimistic locking using a version number for each customer record and checking the version before updating.
C. Add a 'COMMIT statement at the end of the stored procedure to ensure all changes are persisted immediately.
D. Use ' MERGE statement, comparing the new email with the existing email and updating only if they are different, while also ensuring that the update only happens if the new ' last_updated' timestamp is later than the stored one.
E. Create a separate table to store only the changes to customer emails and query this table to determine the latest email.

正解：D

解説：
Option C leverages the 'MERGES statement for idempotent updates. By comparing the existing and new email and only updating if different, and comparing the Alast_updated' timestamp, it prevents redundant updates if the procedure is called multiple times with the same input. Optimistic locking (A) is a valid concurrency control mechanism but doesn't directly guarantee idempotency in this scenario. 'COMMIT (B) affects transaction behavior, not idempotency. Creating a separate table (D) adds complexity but doesn't inherently ensure idempotency of the update_customer' procedure itself. 'TRY...CATCH& (E) provides error handling but doesn't address idempotency.

質問 # 91
You are developing a Snowflake Native App that requires specific privileges to access data in the consumer's account. In your manifest file, you want to request these privileges. Which of the following statements best describes the correct way to request these privileges within the 'privileges' section of the manifest file?

A. You can only request privileges for future grants. Existing object grants are not supported in manifest file.
B. Privileges are managed entirely through the application's setup scripts. The manifest file does not play a role in privilege management.
C. Specify a list of required privileges under the 'privileges' section, detailing the specific objects (databases, schemas, tables) and actions (SELECT, INSERT, UPDATE) the application needs to perform.
D. Privileges are automatically granted to the application based on the roles specified in the application code. No explicit declaration is needed in the manifest file.
E. Use the 'allowed_roles' section in the manifest to list the roles that are allowed to access data in the consumer's account, Snowflake automatically grants necessary privileges to these roles.

正解：C

解説：
The 'privileges' section of the manifest file is used to declare the specific privileges required by the application. This includes specifying the objects (databases, schemas, tables) and actions (SELECT, INSERT, UPDATE) that the application needs to perform in the consumer's account. Snowflake uses this information to manage access control and ensure that the application has the necessary permissions to function correctly.

質問 # 92
A consumer wants to install a Snowflake Native App. They have already identified the app in the Snowflake Marketplace. After attempting to install the application, they receive an error stating 'Insufficient privileges to install application'. Which of the following steps are MOST likely required to resolve this issue? (Select Two)

A. The consumer's account administrator needs to grant the 'APPLY APPLICATION' privilege to the role used by the consumer attempting to install the application.
B. The consumer needs to have the 'CREATE APPLICATION PACKAGE privilege on the target account.
C. The application provider needs to grant the 'IMPORTED PRIVILEGES to the consumer account.
D. The consumer's account administrator needs to grant the 'CREATE APPLICATION' privilege to the role used by the consumer attempting to install the application.
E. The application provider needs to explicitly share the application package with the specific role the consumer is using for installation.

正解：A、D

解説：
The 'APPLY APPLICATIONS privilege is required to install an application from the Snowflake Marketplace. The 'CREATE APPLICATION' privilege is needed to create the application object in the consumer account during installation. Option B is incorrect because 'IMPORTED PRIVILEGES is used by the provider to grant access. Option C is wrong because 'CREATE APPLICATION PACKAGE is for providers. Option E is incorrect; applications are shared via the marketplace.

質問 # 93
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. 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).
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. 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.

正解：A、E

解説：
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.

質問 # 94
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 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.
C. 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.
D. 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.
E. 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.

正解：C

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 # 95
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