NAS-C01 Aktuelle Prüfung - NAS-C01 Prüfungsguide & NAS-C01 Praxisprüfung

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>> NAS-C01 Quizfragen Und Antworten <<

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Snowflake SnowPro Specialty - Native Apps NAS-C01 Prüfungsfragen mit Lösungen (Q29-Q34):

29. Frage
Your Snowflake Native Application provides a data transformation service. A consumer reports slow performance when processing large datasets. Profiling indicates that a specific SQL query within a UDF is the bottleneck. The query aggregates data from a table and uses a custom function to calculate a derived value. Assume the UDF runs with invoker rights. Which of the following strategies, used in combination, would MOST effectively improve the query's performance while adhering to security best practices for native applications and least privileges?

A. Implement caching for the custom function's results using Snowflake's result caching mechanism, rewrite the UDF to use a SQL UDF instead ofa Python UDF, and utilize a data access framework using secure view, which enables the invoker right to be succesfull.
B. Distribute the processing workload by using Snowflake's Snowpark to create a DataFrame, distribute using custom python code and scale out.
C. Replace the UDF with a materialized view in the consumer's account that pre-computes the derived value, and grant SELECT privilege on the materialized view to the consumer role.
D. Rewrite the UDF to use a SQL UDF instead of a Python UDF, grant the necessary privileges to the application's invoker role, and create appropriate indexes on the underlying table in consumer account.
E. Rewrite the UDF to use a SQL UDF instead of a Python UDF, create a secure view exposing only the necessary data, and use clustering on the underlying consumer table.

Antwort: E

Begründung:
Option E is the most effective and secure. Converting the UDF to a SQL UDF improves performance, since it runs within Snowflake's engine, reducing overhead. A secure view limits access to the required data, adhering to least privilege. Clustering optimizes query performance on the consumer's data. Indexes(option A) might help, but clustering is better for large datasets. Result caching (Option B) is good, but not a substitute for efficient query design and sql udf. Materialized views (Option C) are controlled by the consumer and outside the control of the provider. Snowpark(Option D) can work but it would require a complex redesign.

30. Frage
A Snowflake Native Application developer, Bob, is using Snowsight to manage access to the application. He has created a custom role, , and wants to grant this role the ability to grant and revoke privileges on all objects within the application's schema, app_data'. Which of the following Snowsight actions (or sequence of actions) is the MOST effective and secure way to achieve this?
(Assume Bob is logged in as a user with 'ACCOUNTADMIN' role).

A. In Snowsight, write and execute the following SQL command:
B. Within Snowsight, navigate to the 'app_data' schema, select 'Grant Privileges', grant the 'USAGE privilege to the and then individually grant 'SELECT, 'INSERT, 'UPDATE' , and "DELETE privileges on each table and view within the schema.
C. Within Snowsight, navigate to the 'app_data' schema, select 'Grant Privileges', and grant the 'OWNERSHIP' privilege to the .
D. Within Snowsight, navigate to the application database, select 'Grant Privileges', and grant the 'USAGE' privilege to the .
E. Grant the the 'APPLY MASKING POLICY privilege globally at the account level using Snowsight.

Antwort: C

Begründung:
Granting 'OWNERSHIP' on the schema to (Option A) is the most effective and secure way to give the role full control over the schema and its objects. 'OWNERSHIP' implicitly grants all other privileges and the ability to grant/revoke them to other roles. While Option D using 'GRANT ALL PRIVILEGES seems similar, it doesn't automatically cascade to new objects created within the schema after the grant. Ownership does. Option B is tedious and not scalable. Option C is irrelevant to the task. Option E only grants access to the database, not control over the objects within.

31. Frage
You are developing a Snowflake Native Application that interacts with sensitive customer dat a. You want to implement robust security scanning before publishing to the Snowflake Marketplace. Which of the following strategies are MOST effective to detect and prevent potential vulnerabilities before submitting your application, considering limitations on marketplace pre-publication scanning capabilities?

A. Rely solely on Snowflake's built-in scanning during the Marketplace submission process, as it covers all known vulnerabilities.
B. Implement a comprehensive CI/CD pipeline that includes static code analysis (SAST) using tools like SonarQube or similar, focusing on SQL injection, cross-site scripting (XSS), and insecure deserialization vulnerabilities. Include unit and integration tests with parameterized inputs. Regularly update dependency versions and scan for known vulnerabilities in third-party libraries included in your application's code (e.g., Python libraries).
C. Only use Snowflake provided templates and example codes as these are already pre-approved from security perspectives
D. Employ a third-party penetration testing service to perform a black-box test of the application after deployment in a staging environment but prior to Marketplace submission.
E. Manually review all code for potential security flaws and ensure adherence to secure coding practices.

Antwort: B,D

Begründung:
Option B and D provides a good answer as Snowflake's Marketplace scanning is limited, a multi-layered approach is crucial. SAST and dependency scanning within a CI/CD pipeline (B) allows for early detection of many common vulnerabilities. Penetration testing (D) provides an external, real-world assessment of the application's security posture. Relying solely on Snowflake's scanning (A) is insufficient. Manual code review (C), while helpful, is prone to human error. Only using Snowflake provided templates is very restrictive and not a solution.

32. Frage
A consumer installs a Snowflake Native App that collects usage statistics. The app uses an internal stage to store temporary data before aggregating it and sending it to the provider. The consumer notices that the internal stage is consuming a significant amount of storage and wants to understand if they are being charged for this storage. As a consumer, what level of visibility and control do you have over the storage costs associated with the internal stage created and managed by the installed Snowflake Native App?

A. The consumer has full visibility into the stage's storage consumption through the Snowflake web interface and can directly manage the stage's lifecycle to control costs.
B. The consumer is billed for the storage used by the internal stage, but they have no direct visibility into its usage or control over its lifecycle. The provider manages the stage's lifecycle.
C. The consumer can only see the stage's metadata but cannot see the data residing in it.
D. The consumer can view the overall storage consumption of the application but cannot differentiate between the internal stage and other data stored by the application.
E. The consumer has no visibility into the stage's storage consumption or control over its lifecycle. All costs are borne by the application provider.

Antwort: B

Begründung:
As a consumer, you are billed for the storage used by the application's internal stage. However, you have no direct visibility into the stage's usage or control over its lifecycle. The application provider manages the stage and data within. The consumer is billed for the storage within their account that the application uses. They are unaware of the data details within the application but still responsible for charges.

33. Frage
A Native App provider has released a new version of their application. After installation, some consumers report encountering 'SQL compilation errors' when using certain features that rely on Java UDFs. The provider has thoroughly tested the application and cannot reproduce the error in their development environment. What are the MOST LIKELY causes of this issue and how can the provider systematically troubleshoot and resolve it? (Select TWO)

A. The provider's development environment is using a newer version of the Snowflake Java runtime than the consumer's environment. The provider should downgrade their development environment to match the oldest supported version and re-test the application.
B. The Java UDFs are encountering data type mismatches due to differences in regional settings or data formats between the provider's and consumer's environments. The provider should enforce strict data validation and type conversion within the UDFs.
C. Consumer-side firewall rules are blocking access to external resources used by the Java UDF. The provider should thoroughly document the necessary network configurations for consumers.
D. The Java UDFs are using external libraries that are not compatible with the consumer's Snowflake environment or are missing entirely. The provider should explicitly declare all dependencies in the application manifest and ensure they are properly packaged and deployed.
E. The consumer's Snowflake account has insufficient compute resources to execute the Java UDFs. The provider should instruct the consumer to upgrade their virtual warehouse size.

Antwort: B,D

Begründung:
Options A and C are the most likely causes. Missing or incompatible Java dependencies (Option A) are a common source of UDF errors in Native Apps. Data type mismatches (Option C) due to regional settings can also lead to SQL compilation errors if the UDFs are not handling them correctly. Option B is less likely, SQL compilation errors indicate problems during the planning stage not the execution stage, so compute resource issues would typically manifest as runtime errors not compilation errors. Option D is technically possible but less probable. Option E is plausible, however, SQL compilation errors suggest the issue is at the compilation stage, implying incorrect types etc, rather than connectivity issues with external resources

34. Frage
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NAS-C01 Aktuelle Prüfung - NAS-C01 Prüfungsguide & NAS-C01 Praxisprüfung

Wiki Article

NAS-C01 Kostenlos Downloden - NAS-C01 Pruefungssimulationen

Snowflake SnowPro Specialty - Native Apps NAS-C01 Prüfungsfragen mit Lösungen (Q29-Q34):

NAS-C01 SnowPro Specialty - Native Apps neueste Studie Torrent & NAS-C01 tatsächliche prep Prüfung

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