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| Section | Weight | Objectives |
|---|---|---|
| Establishing Organizational and Platform Foundations | 17% | - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model - Platform strategy and roadmap definition - Governance and organizational structure |
| Explaining Application Network Basics | 11% | - Core concepts of application networks - API-led connectivity principles - Benefits of modern API design |
| Designing and Sharing APIs | 11% | - Asset sharing and reuse via Anypoint Exchange - API specification and documentation - API layering: Experience, Process, System APIs - API design standards and best practices |
| Architecting and Deploying API Implementations | 11% | - Runtime architecture and deployment options - Networking and security configuration - High availability and fault tolerance - CI/CD and DevOps integration |
| Deploying API Implementations to CloudHub | 11% | - Worker sizing and resource planning - CloudHub architecture and capabilities - VPC and private space configuration - Deployment optimization and scaling |
| Monitoring and Analyzing Application Networks | 8% | - Operational visibility and optimization - Analytics and insight generation - Logging and alerting configuration - Monitoring strategies and tools |
| Applying Integration Patterns | 11% | - Scalability and performance patterns - Event-driven and synchronous integration - Error handling and reliability patterns - Common integration patterns and use cases |
| Managing APIs | 12% | - API lifecycle management - API policies and security enforcement - Rate limiting and throttling - Versioning and deprecation strategies |
| Meeting API Quality Goals | 8% | - Security and compliance standards - Maintainability and testability - Performance and latency requirements - Reliability and availability targets |
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NEW QUESTION # 75
An API experiences a high rate of client requests (TPS) vwth small message paytoads. How can usage limits be imposed on the API based on the type of client application?
Answer: D
Explanation:
Correct Answe r: Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type.
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>> SLA tiers will come into play whenever any limits to be imposed on APIs based on client type
NEW QUESTION # 76
Which layer in the API-led connectivity focuses on unlocking key systems, legacy systems, data sources etc and exposes the functionality?
Answer: A
Explanation:
Correct Answe r: System Layer
The APIs used in an API-led approach to connectivity fall into three categories:
System APIs - these usually access the core systems of record and provide a means of insulating the user from the complexity or any changes to the underlying systems. Once built, many users, can access data without any need to learn the underlying systems and can reuse these APIs in multiple projects.
Process APIs - These APIs interact with and shape data within a single system or across systems (breaking down data silos) and are created here without a dependence on the source systems from which that data originates, as well as the target channels through which that data is delivered.
Experience APIs - Experience APIs are the means by which data can be reconfigured so that it is most easily consumed by its intended audience, all from a common data source, rather than setting up separate point-to-point integrations for each channel. An Experience API is usually created with API-first design principles where the API is designed for the specific user experience in mind.
NEW QUESTION # 77
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 # 78
An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).
What best describes each modern API in relation to this new IT operating model?
Answer: C
Explanation:
Correct Answers:
1. Each modern API must be treated like a product and designed for a particular target audience (for instance mobile app developers)
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NEW QUESTION # 79
An online store's marketing team has noticed an increase in customers leaving online baskets without checking out. They suspect a technology issue is at the root cause of the baskets being left behind. They approach the Center for Enablement to ask for help identifying the issue. Multiple APIs from across all the layers of their application network are involved in the shopping application.
Which feature of the Anypoint Platform can be used to view metrics from all involved APIs at the same time?
Answer: C
Explanation:
Understanding the Need for Cross-API Monitoring:
The Center for Enablement (C4E) needs to investigate potential technical issues across multiple APIs in the application network that may be causing customers to abandon their carts.
This requires a solution that allows viewing metrics across several APIs in real-time to identify any performance issues or bottlenecks.
Evaluating Anypoint Platform Features:
Built-in Dashboards: Anypoint Platform provides built-in dashboards in Anypoint Monitoring, allowing teams to view metrics from multiple APIs in a single interface. This feature is designed to monitor API performance, latency, errors, and throughput, and is ideal for tracking performance across all layers of the application network.
Custom Dashboards: While custom dashboards allow for more tailored views, the built-in dashboards already aggregate metrics for multiple APIs, making it unnecessary to build a custom solution for this scenario.
Functional Monitoring: This feature is used to set up tests to monitor specific API functionality and uptime but is not suited for tracking metrics across multiple APIs in real-time.
API Manager: API Manager primarily focuses on managing API policies, contracts, and access control rather than providing detailed, real-time metrics across the entire application network.
Conclusion:
Option B (Built-in dashboards) is the best choice because it provides a comprehensive view of metrics from all APIs involved, enabling the C4E team to quickly identify any issues that may be contributing to abandoned shopping carts.
Refer to MuleSoft's documentation on Anypoint Monitoring and built-in dashboards for more details on configuring and using these dashboards effectively.
NEW QUESTION # 80
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