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| Section | Weight | Objectives |
|---|---|---|
| Deploying API Implementations to CloudHub | 11% | - CloudHub architecture and capabilities - Deployment optimization and scaling - VPC and private space configuration - Worker sizing and resource planning |
| Managing APIs | 12% | - API lifecycle management - Rate limiting and throttling - API policies and security enforcement - Versioning and deprecation strategies |
| Explaining Application Network Basics | 11% | - API-led connectivity principles - Benefits of modern API design - Core concepts of application networks |
| Applying Integration Patterns | 11% | - Scalability and performance patterns - Error handling and reliability patterns - Common integration patterns and use cases - Event-driven and synchronous integration |
| Establishing Organizational and Platform Foundations | 17% | - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model - Governance and organizational structure - Platform strategy and roadmap definition |
| Architecting and Deploying API Implementations | 11% | - CI/CD and DevOps integration - Networking and security configuration - Runtime architecture and deployment options - High availability and fault tolerance |
| Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Monitoring strategies and tools - Logging and alerting configuration - Operational visibility and optimization |
| Designing and Sharing APIs | 11% | - API layering: Experience, Process, System APIs - API specification and documentation - Asset sharing and reuse via Anypoint Exchange - API design standards and best practices |
| Meeting API Quality Goals | 8% | - Reliability and availability targets - Performance and latency requirements - Maintainability and testability - Security and compliance standards |
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NEW QUESTION # 117
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: A
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 # 118
A circuit breaker strategy is planned in order to meet the goal of improved response time and demand on a downstream API.
* Circuit Open: More than 10 errors per minute for three minutes
* Circuit Half-Open: One error per minute
* Circuit Closed: Less than one error per minute for five minutes
Out of several proposals from the engineering team, which option will meet this goal?
Answer: B
Explanation:
Understanding Circuit Breaker Policy:
A circuit breaker is a design pattern used to detect failures and prevent an application from continually trying to execute a failing operation. In this case, it will help improve response time and reduce demand on the downstream API.
The specified configuration includes conditions for opening, half-opening, and closing the circuit based on error rates over time:
Circuit Open: Triggered if there are more than 10 errors per minute for three consecutive minutes.
Circuit Half-Open: The circuit transitions to half-open if there is one error per minute.
Circuit Closed: The circuit closes if the error rate is less than one error per minute for five minutes.
Evaluating the Options:
Option A: Creating a custom policy with template expressions could work, but it would require custom development. Since the Anypoint Platform already has a Circuit Breaker policy available, this would be a less efficient and more complex solution.
Option B: Anypoint Monitoring alerts can be used for monitoring the API, but they do not provide circuit-breaking functionality. Additionally, implementing a retry strategy for the half-open state is not sufficient to achieve the required circuit breaker behavior.
Option C (Correct Answer): Adding the Circuit Breaker policy to the API instance on Anypoint Platform allows you to set up circuit-breaking conditions directly. This approach uses the built-in Circuit Breaker policy, where you can configure parameters such as error thresholds and time intervals to match the requirements. This solution is efficient, reliable, and leverages Anypoint's out-of-the-box capabilities.
Option D: Implementing the strategy within a Mule application with a YAML configuration could be complex and less manageable. Additionally, it does not leverage Anypoint Platform's built-in Circuit Breaker policy, which is more suited to this scenario.
Conclusion:
Option C is the correct choice, as it leverages Anypoint Platform's Circuit Breaker policy. This solution allows for configuring thresholds and time intervals as specified, improving response time and reducing demand on the downstream API while utilizing Anypoint's managed policy feature.
Refer to MuleSoft's documentation on implementing the Circuit Breaker policy in API Manager for detailed configuration guidance.
NEW QUESTION # 119
The asset version 2.0.0 of the Order API is successfully published in Exchange and configured in API Manager with the Autodiscovery API ID correctly linked to the API implementation, A new GET method is added to the existing API specification, and after updates, the asset version of the Order API is 2.0.1, What happens to the Autodiscovery API ID when the new asset version is updated in API Manager?
Answer: C
Explanation:
Understanding API Autodiscovery in MuleSoft:
API Autodiscovery links an API implementation in Anypoint Platform with its configuration in API Manager. This is controlled by the API ID which is set in the API Autodiscovery element in the Mule application.
The API ID remains consistent across minor updates to the API asset version in Exchange (e.g., from 2.0.0 to 2.0.1) as long as it is the same API.
Effect of Asset Version Update on API Autodiscovery:
When the asset version is updated (e.g., from 2.0.0 to 2.0.1), the API ID remains the same. Therefore, no changes are needed in the Autodiscovery configuration within the Mule application. The Autodiscovery will continue to link the API implementation to the latest version in API Manager.
Evaluating the Options:
Option A: Incorrect, as the API ID does not automatically change with minor asset version updates.
Option B: Incorrect, as the API ID remains the same, so no update is needed in the API implementation.
Option C (Correct Answer): The API ID does not change, so no changes are necessary in the API implementation for the new asset version.
Option D: Incorrect, as there is no need to update the API implementation in the Autodiscovery global element for minor version changes.
Conclusion:
Option C is the correct answer, as the API ID remains unchanged with minor version updates, and no changes are needed in the API Autodiscovery configuration.
Refer to MuleSoft documentation on API Autodiscovery and version management for more details.
NEW QUESTION # 120
Due to a limitation in the backend system, a system API can only handle up to 500 requests per second. What is the best type of API policy to apply to the system API to avoid overloading the backend system?
Answer: D
Explanation:
Correct Answe r: Spike control
*****************************************
>> First things first, HTTP Caching policy is for purposes different than avoiding the backend system from overloading. So this is OUT.
>> Rate Limiting and Throttling/ Spike Control policies are designed to limit API access, but have different intentions.
>> Rate limiting protects an API by applying a hard limit on its access.
>> Throttling/ Spike Control shapes API access by smoothing spikes in traffic.
That is why, Spike Control is the right option.
NEW QUESTION # 121
What should be ensured before sharing an API through a public Anypoint Exchange portal?
Answer: B
Explanation:
Correct Answe r: The visibility level of the API instances of that API that need to be publicly accessible should be set to public visibility.
*****************************************
Reference:
https://docs.mulesoft.com/exchange/to-share-api-asset-to-portal
NEW QUESTION # 122
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