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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Applying Integration Patterns | 11% | - Scalability and performance patterns - Common integration patterns and use cases - Error handling and reliability patterns - Event-driven and synchronous integration |
| Topic 2: Explaining Application Network Basics | 11% | - API-led connectivity principles - Core concepts of application networks - Benefits of modern API design |
| Topic 3: Managing APIs | 12% | - Versioning and deprecation strategies - Rate limiting and throttling - API lifecycle management - API policies and security enforcement |
| Topic 4: Monitoring and Analyzing Application Networks | 8% | - Monitoring strategies and tools - Analytics and insight generation - Logging and alerting configuration - Operational visibility and optimization |
| Topic 5: Meeting API Quality Goals | 8% | - Security and compliance standards - Maintainability and testability - Performance and latency requirements - Reliability and availability targets |
| Topic 6: Architecting and Deploying API Implementations | 11% | - Runtime architecture and deployment options - CI/CD and DevOps integration - High availability and fault tolerance - Networking and security configuration |
| Topic 7: Deploying API Implementations to CloudHub | 11% | - VPC and private space configuration - Deployment optimization and scaling - Worker sizing and resource planning - CloudHub architecture and capabilities |
| Topic 8: Establishing Organizational and Platform Foundations | 17% | - Center for Enablement (C4E) operating model - Governance and organizational structure - Anypoint Platform architecture and components - Platform strategy and roadmap definition |
| Topic 9: Designing and Sharing APIs | 11% | - API layering: Experience, Process, System APIs - Asset sharing and reuse via Anypoint Exchange - API specification and documentation - API design standards and best practices |
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NEW QUESTION # 129
A company is building an application network using MuleSoft's recommendations for various API layers.
What is the main (default) role of a process API in an application network?
Answer: A
Explanation:
Role of Process API in API-led Connectivity:
In MuleSoft's API-led connectivity approach, a Process API is used to coordinate, aggregate, and orchestrate data from various System APIs. It is primarily responsible for implementing business logic that spans multiple backend systems or entities, transforming and combining data as needed to support business processes.
Process APIs are not directly exposed to end-user clients; rather, they work between System APIs and Experience APIs, providing business logic and orchestration capabilities.
Evaluating the Options:
Option A: Process APIs are not typically responsible for large data dumps or data synchronization. That function would be handled by a System API or a specialized batch process.
Option B: Managing direct, secure communication between back-end systems and end-user clients is typically the role of Experience APIs rather than Process APIs.
Option C (Correct Answer): Process APIs are designed to coordinate and orchestrate calls to multiple other APIs in the network, which supports the automation of business processes.
Option D: Securing and managing communication with end-user clients is typically the role of Experience APIs, not Process APIs.
Conclusion:
Option C is the correct answer, as the main role of a Process API is to coordinate and orchestrate interactions between other APIs, enabling business processes to function seamlessly across multiple systems.
Refer to MuleSoft's API-led connectivity documentation for further explanation of the roles and responsibilities of Process APIs in an application network.
NEW QUESTION # 130
An Order API triggers a sequence of other API calls to look up details of an order's items in a back-end inventory database. The Order API calls the OrderItems process API, which calls the Inventory system API. The Inventory system API performs database operations in the back-end inventory database.
The network connection between the Inventory system API and the database is known to be unreliable and hang at unpredictable times.
Where should a two-second timeout be configured in the API processing sequence so that the Order API never waits more than two seconds for a response from the Orderltems process API?
Answer: B
Explanation:
Understanding the API Flow and Timeout Requirement:
The Order API initiates a call to the OrderItems process API, which in turn calls the Inventory system API to fetch details from the inventory database.
The requirement specifies that the Order API should not wait more than two seconds for a response from the OrderItems process API, even if there are delays further down the chain (between Inventory system API and the database).
Choosing the Appropriate Timeout Location:
Setting the timeout at the OrderItems process API level ensures that if the Inventory system API takes longer than two seconds to respond, the OrderItems process API will terminate the request and send a timeout response back to the Order API. This prevents the Order API from waiting indefinitely due to the unreliable connection to the database.
If the timeout were set in the Inventory system API or database, it would not help the Order API directly, as the OrderItems process API would still be waiting for a response.
Detailed Analysis of Each Option:
Option A (Correct Answer): Setting the timeout in the OrderItems process API allows it to control how long it waits for a response from the Inventory system API. If the Inventory system API does not respond within two seconds, the OrderItems process API can terminate the call and return a timeout response to the Order API, meeting the requirement.
Option B: Setting the timeout in the Order API would not limit the wait time at the OrderItems process API level, meaning the OrderItems process API could still wait indefinitely for the Inventory system API, leading to a longer delay.
Option C: Setting the timeout in the Inventory system API only affects the connection to the database and does not influence how long the OrderItems process API waits for the Inventory system API's response.
Option D: Setting a timeout in the database is not feasible in this context since database timeouts are typically configured for database operations and would not directly control the API response times in the overall API chain.
Conclusion:
Option A is the best choice, as it ensures that the OrderItems process API does not hold the Order API longer than the required two seconds, even if the downstream connection to the database hangs. This configuration aligns with MuleSoft best practices for setting timeouts in API orchestration to manage dependencies and prevent delays across a chain of API calls.
For additional information on timeout settings, refer to MuleSoft documentation on handling timeouts and API orchestration best practices.
NEW QUESTION # 131
An organization has implemented a Customer Address API to retrieve customer address information. This API has been deployed to multiple environments and has been configured to enforce client IDs everywhere.
A developer is writing a client application to allow a user to update their address. The developer has found the Customer Address API in Anypoint Exchange and wants to use it in their client application.
What step of gaining access to the API can be performed automatically by Anypoint Platform?
Answer: B
Explanation:
Correct Answe r: Approve the client application request for the chosen SLA tier
*****************************************
>> Only approving the client application request for the chosen SLA tier can be automated
>> Rest of the provided options are not valid
NEW QUESTION # 132
What is the main change to the IT operating model that MuleSoft recommends to organizations to improve innovation and clock speed?
Answer: D
Explanation:
Correct Answe r: Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardization
*****************************************
>> The main motto of the new IT Operating Model that MuleSoft recommends and made popular is to change the way that they are delivered from a production model to a production + consumption model, which is done through an API strategy called API-led connectivity.
>> The assets built should also be discoverable and self-serveable for reusablity across LOBs and organization.
>> MuleSoft's IT operating model does not talk about SDLC model (Agile/ Lean etc) or MDM at all. So, options suggesting these are not valid.
Reference:
https://blogs.mulesoft.com/biz/connectivity/what-is-a-center-for-enablement-c4e/
https://www.mulesoft.com/resources/api/secret-to-managing-it-projects
NEW QUESTION # 133
What is most likely NOT a characteristic of an integration test for a REST API implementation?
Answer: A
Explanation:
Correct Answe r: The test runs immediately after the Mule application has been compiled and packaged
*****************************************
>> 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 # 134
......
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