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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding the MuleSoft Platform & Application Networks | 11% | - Application Network Fundamentals - C4E (Center for Enablement) Definition - MuleSoft Anypoint Platform Core Concepts |
| Topic 2: Meeting API Quality Goals | 8% | - Resilience & Reliability Patterns - Unit & Integration Testing - API Performance Optimization |
| Topic 3: Applying Integration Patterns | 11% | - Batch Processing - Event-Driven Architecture (EDA) - Integration Scenarios & Patterns |
| Topic 4: Designing and Sharing APIs | 11% | - Anypoint Exchange for Sharing Assets - API-Led Connectivity Approach - API Design Best Practices |
| Topic 5: Architecting and Deploying API Implementations | 11% | - High Availability (HA) Design - Disaster Recovery (DR) Strategies - Mule Runtime Architecture |
| Topic 6: Monitoring and Analyzing Application Networks | 8% | - Analytics & Business Insights - Alerting & Auditing - Anypoint Monitoring Tools |
| Topic 7: Deploying API Implementations to CloudHub | 11% | - Deployment Strategies - CloudHub 2.0 & Runtime Fabric - CloudHub Architecture |
| Topic 8: Managing APIs | 12% | - API Lifecycle Management - API Versioning - API Security (Policies, SLAs) |
| Topic 9: Establishing Organizational and Platform Foundations | 17% | - Platform Foundation Setup - Governance and Compliance Framework - IT Delivery & C4E Operating Model |
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問題 #58
An established communications company is beginning its API-led connectivity journey, The company has been using a successful Enterprise Data Model for many years. The company has identified a self-service account management app as the first effort for API-led, and it has identified the following APIs.
Experience layer: Mobile Account Management EAPI, Browser Account Management EAPI Process layer: Customer Lookup PAPI, Service Lookup PAPI, Account Lookup PAPI System layer: Customer SAPI, Account SAPI, Product SAPI, Service SAPI According to MuleSoft's API-led connectivity approach, which API would not be served by the Enterprise Data Model?
答案:A
解題說明:
In the API-led connectivity approach, APIs are categorized into Experience, Process, and System layers:
Enterprise Data Model Scope:
The Enterprise Data Model (EDM) generally supports System APIs and some Process APIs by defining standard data structures used across the organization. Experience APIs, however, are tailored to specific applications or interfaces and are less likely to be served directly by the EDM, as they may require customized data representations to meet the unique needs of each user interface.
Why Option C is Correct:
The Mobile Account Management EAPI serves mobile-specific needs and often requires data formatted differently from the standardized data models. Thus, it would be outside the direct scope of the EDM and might employ custom mappings to fit mobile application requirements.
of Incorrect Options:
Option A (Customer SAPI), Option B (Customer Lookup PAPI), and Option D (Service SAPI) would typically align with the EDM as they are closer to the core data and services the EDM supports.
Reference
For additional guidance, review MuleSoft's best practices on API-led connectivity and data modeling.
問題 #59
An organization requires several APIs to be secured with OAuth 2.0, and PingFederate has been identified as the identity provider for API client authorization, The PingFederate Client Provider is configured in access management, and the PingFederate OAuth 2.0 Token Enforcement policy is configured for the API instances required by the organization. The API instances reside in two business groups (Group A and Group B) within the Master Organization (Master Org).
What should be done to allow API consumers to access the API instances?
答案:B
解題說明:
OAuth 2.0 and PingFederate Setup:
The organization uses PingFederate as the identity provider, integrated with Anypoint Platform for OAuth 2.0 authentication and authorization.
The PingFederate OAuth 2.0 Token Enforcement policy is applied to the API instances, requiring clients to be registered and authenticated via PingFederate.
Accessing Secured APIs:
API consumers need to register their client applications in Anypoint Exchange to request access to the secured APIs.
The API administrator then reviews and approves the access request in API Manager. This grants the client application a contract, allowing it to access the API using OAuth 2.0 tokens issued by PingFederate.
Evaluating the Options:
Option A: Configuring the client discovery URL in child business groups is not relevant to granting access; this is part of setting up PingFederate, not managing consumer access.
Option B: While creating contracts in API Manager is necessary, this option lacks the detail about the process in Anypoint Exchange, where consumers request access.
Option C (Correct Answer): API consumers must create a client application in Anypoint Exchange to request access to the API, and the API administrator then approves the request in API Manager.
Option D: The access request and approval process happens within Anypoint Platform (Exchange and API Manager), not directly in Ping Identity.
Conclusion:
Option C is the correct answer as it accurately describes the process within Anypoint Platform where API consumers request access through Exchange, and the API administrator approves it.
Refer to MuleSoft's documentation on OAuth 2.0 setup with PingFederate and managing API client access in Exchange and API Manager.
問題 #60
A Platform Architect inherits a legacy monolithic SOAP-based web service that performs a number of tasks, including showing all policies belonging to a client. The service connects to two back-end systems - a life-insurance administration system and a general-insurance administration system - and then queries for insurance policy information within each system, aggregates the results, and presents a SOAP-based response to a user interface (UI).
The architect wants to break up the monolithic web service to follow API-led conventions.
Which part of the service should be put into the process layer?
答案:C
問題 #61
A company deploys Mule applications with default configurations through Runtime Manager to customer-hosted Mule runtimes. Each Mule application is an API implementation that exposes RESTful interfaces to API clients. The Mule runtimes are managed by the MuleSoft-hosted control plane. The payload is never used by any Logger components.
When an API client sends an HTTP request to a customer-hosted Mule application, which metadata or data (payload) is pushed to the MuleSoft-hosted control plane?
答案:C
解題說明:
Understanding the Data Flow Between Mule Runtimes and Control Plane:
When Mule applications are deployed on customer-hosted Mule runtimes, the MuleSoft-hosted control plane (Anypoint Platform) can monitor and manage these applications. However, due to data privacy and security, the control plane only collects specific types of information.
Typically, only metadata about the request and response (such as headers, status codes, and timestamps) is sent to the MuleSoft-hosted control plane. The actual payload data is not transmitted unless explicitly configured, ensuring that sensitive data remains within the customer's network.
Evaluating the Options:
Option A (Only the data): This is incorrect because the payload data itself is not automatically sent to the control plane in default configurations.
Option B (No data): This is incorrect as well; while the payload is not sent, metadata is still collected and sent to the control plane.
Option C (The data and metadata): This option is incorrect because data (payload) is not transmitted to the control plane by default.
Option D (Correct Answer): Only the metadata is sent to the MuleSoft-hosted control plane by default, aligning with MuleSoft's design to prioritize security and data privacy for customer-hosted runtimes.
Conclusion:
Option D is the correct answer, as by default, only metadata is sent to the MuleSoft-hosted control plane, and not the payload. This configuration is designed to protect sensitive data from being exposed outside the customer's hosted environment.
For more details, refer to MuleSoft's documentation on telemetry data collected in customer-hosted Mule runtimes and the MuleSoft control plane.
問題 #62
Which statement is true about Spike Control policy and Rate Limiting policy?
答案:B
解題說明:
Understanding Spike Control and Rate Limiting Policies:
Spike Control Policy: Limits the number of requests processed by the API in a short time to handle sudden bursts of traffic. It does not queue requests but rejects any request that exceeds the allowed burst rate.
Rate Limiting Policy: Sets a limit on the number of requests that an API can handle within a given timeframe. Once the limit is reached, additional requests are rejected.
Evaluating the Options:
Option A: Incorrect. In both Spike Control and Rate Limiting policies, requests are rejected once the limit is reached. Spike Control does not queue requests; it only controls the burst rate by rejecting excessive requests.
Option B (Correct Answer): In a clustered environment, each node independently enforces the Rate Limiting and Spike Control policies, meaning that the limits apply to each node separately. This ensures that each node can control its own resource usage independently within the cluster.
Option C: This is partially correct, as Rate Limiting is often used to protect Experience APIs, but Spike Control could also be useful in limiting resource consumption under high burst conditions.
Option D: Incorrect. Although a contract is required to enforce client-specific policies, Rate Limiting and Spike Control do not require a contract to function for general traffic control.
Conclusion:
Option B is the correct answer because, in a clustered environment, Rate Limiting and Spike Control policies apply separately to each node, helping each instance to manage its own load.
For more information, refer to MuleSoft's documentation on applying Rate Limiting and Spike Control policies in a clustered environment.
問題 #63
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