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| Section | Objectives |
|---|---|
| Topic 1: API Management and Governance | - Governance frameworks and best practices - API security policies and enforcement - API lifecycle management |
| Topic 2: Integration Architecture Strategy | - System, process, and experience APIs - API-led connectivity principles - Designing enterprise integration architecture |
| Topic 3: Data Integration and Transformation | - Data mapping and transformation strategies - Batch vs real-time integration patterns |
| Topic 4: Anypoint Platform Architecture | - Deployment models (CloudHub, hybrid, on-premises) - Runtime Fabric architecture overview - Anypoint Platform components and capabilities |
| Topic 5: Performance and Scalability | - High availability design patterns - Scaling Mule applications |
| Topic 6: Security and Compliance | - Secure API exposure and threat protection - Authentication and authorization mechanisms |
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NEW QUESTION # 43
A System API is designed to retrieve data from a backend system that has scalability challenges. What API policy can best safeguard the backend system?
Answer: C
Explanation:
Correct Answe r: SLA-based rate limiting
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>> Client Id enforement policy is a "Compliance" related NFR and does not help in maintaining the "Quality of Service (QoS)". It CANNOT and NOT meant for protecting the backend systems from scalability challenges.
>> IP Whitelisting and OAuth 2.0 token enforcement are "Security" related NFRs and again does not help in maintaining the "Quality of Service (QoS)". They CANNOT and are NOT meant for protecting the backend systems from scalability challenges.
Rate Limiting, Rate Limiting-SLA, Throttling, Spike Control are the policies that are "Quality of Service (QOS)" related NFRs and are meant to help in protecting the backend systems from getting overloaded.
https://dzone.com/articles/how-to-secure-apis
NEW QUESTION # 44
What is most likely NOT a characteristic of an integration test for a REST API implementation?
Answer: B
Explanation:
Correct Answe r: The test runs immediately after the Mule application has been compiled and packaged
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>> Integration tests are the last layer of tests we need to add to be fully covered.
>> These tests actually run against Mule running with your full configuration in place and are tested from external source as they work in PROD.
>> These tests exercise the application as a whole with actual transports enabled. So, external systems are affected when these tests run.
So, these tests do NOT run immediately after the Mule application has been compiled and packaged.
FYI... Unit Tests are the one that run immediately after the Mule application has been compiled and packaged.
NEW QUESTION # 45
Which three tools automate the deployment of Mule applications?
Choose 3 answers
Answer: B,C,E
Explanation:
MuleSoft offers various tools to automate the deployment of Mule applications, which can streamline deployment and management processes. Here's how each tool supports automated deployment:
Runtime Manager:
Anypoint Runtime Manager is MuleSoft's web-based interface that allows users to deploy, manage, and monitor applications directly. It provides deployment automation through its user-friendly interface.
Anypoint Platform CLI:
The Anypoint CLI enables scripting of deployment and management tasks, making it possible to automate deployments via command-line scripts. This tool is ideal for CI/CD pipelines as it integrates with automated processes.
Platform APIs:
MuleSoft's Platform APIs allow programmatic access to deployment functions, enabling integration with external automation tools and CI/CD systems. These APIs facilitate deployment through RESTful calls, which can be automated for continuous delivery.
of Incorrect Options:
Option D (Anypoint Studio) is primarily for development and does not support deployment automation.
Option E (Maven Plugin) can be used for building and deploying Mule applications but isn't classified as a platform tool for deployment.
Option F (API Community Manager) is unrelated to deployment and instead focuses on managing API communities.
Reference
For detailed steps on automating deployments with these tools, refer to MuleSoft documentation on Runtime Manager, CLI, and Platform APIs.
NEW QUESTION # 46
When designing an upstream API and its implementation, the development team has been advised to NOT set timeouts when invoking a downstream API, because that downstream API has no SLA that can be relied upon. This is the only downstream API dependency of that upstream API.
Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?
Answer: D
Explanation:
Correct Answe r: An SLA for the upstream API CANNOT be provided.
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>> First thing first, the default HTTP response timeout for HTTP connector is 10000 ms (10 seconds). NOT 500 ms.
>> Mule runtime does NOT apply any such "load-dependent" timeouts. There is no such behavior currently in Mule.
>> As there is default 10000 ms time out for HTTP connector, we CANNOT always guarantee that the invocation of the downstream API will run to completion without timing out due to its unreliable SLA times. If the response time crosses 10 seconds then the request may time out.
The main impact due to this is that a proper SLA for the upstream API CANNOT be provided.
NEW QUESTION # 47
What are 4 important Platform Capabilities offered by Anypoint Platform?
Answer: B
Explanation:
Correct Answe r: API Design and Development, API Runtime Execution and Hosting, API Operations and Management, API Consumer Engagement
*****************************************
>> API Design and Development - Anypoint Studio, Anypoint Design Center, Anypoint Connectors
>> API Runtime Execution and Hosting - Mule Runtimes, CloudHub, Runtime Services
>> API Operations and Management - Anypoint API Manager, Anypoint Exchange
>> API Consumer Management - API Contracts, Public Portals, Anypoint Exchange, API Notebooks
NEW QUESTION # 48
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