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| Section | Weight | Objectives |
|---|---|---|
| Architecting and Deploying API Implementations | 11% | - Runtime architecture and deployment options - High availability and fault tolerance - Networking and security configuration - CI/CD and DevOps integration |
| Monitoring and Analyzing Application Networks | 8% | - Operational visibility and optimization - Monitoring strategies and tools - Logging and alerting configuration - Analytics and insight generation |
| Establishing Organizational and Platform Foundations | 17% | - Center for Enablement (C4E) operating model - Governance and organizational structure - Platform strategy and roadmap definition - Anypoint Platform architecture and components |
| Applying Integration Patterns | 11% | - Common integration patterns and use cases - Event-driven and synchronous integration - Error handling and reliability patterns - Scalability and performance patterns |
| Managing APIs | 12% | - API lifecycle management - API policies and security enforcement - Rate limiting and throttling - Versioning and deprecation strategies |
| Deploying API Implementations to CloudHub | 11% | - Worker sizing and resource planning - VPC and private space configuration - CloudHub architecture and capabilities - Deployment optimization and scaling |
| Designing and Sharing APIs | 11% | - API design standards and best practices - API specification and documentation - Asset sharing and reuse via Anypoint Exchange - API layering: Experience, Process, System APIs |
| Meeting API Quality Goals | 8% | - Performance and latency requirements - Reliability and availability targets - Security and compliance standards - Maintainability and testability |
| Explaining Application Network Basics | 11% | - Benefits of modern API design - API-led connectivity principles - Core concepts of application networks |
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NEW QUESTION # 125
In which layer of API-led connectivity, does the business logic orchestration reside?
Answer: C
Explanation:
Correct Answe r: Process Layer
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>> Experience layer is dedicated for enrichment of end user experience. This layer is to meet the needs of different API clients/ consumers.
>> System layer is dedicated to APIs which are modular in nature and implement/ expose various individual functionalities of backend systems
>> Process layer is the place where simple or complex business orchestration logic is written by invoking one or many System layer modular APIs So, Process Layer is the right answer.
NEW QUESTION # 126
Refer to the exhibit.
A RAML definition has been proposed for a new Promotions Process API, and has been published to Anypoint Exchange.
The Marketing Department, who will be an important consumer of the Promotions API, has important requirements and expectations that must be met.
What is the most effective way to use Anypoint Platform features to involve the Marketing Department in this early API design phase?
A) Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console
B) Organize a design workshop with the DBAs of the Marketing Department in which the database schema of the Marketing IT systems is translated into RAML C) Use Anypoint Studio to Implement the API as a Mule application, then deploy that API implementation to CloudHub and ask the Marketing Department to interact with it D) Export an integration test suite from API designer and have the Marketing Department execute the tests In that suite to ensure they pass
Answer: C
Explanation:
Correct Answe r: Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console.
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As per MuleSoft's IT Operating Model:
>> API consumers need NOT wait until the full API implementation is ready.
>> NO technical test-suites needs to be shared with end users to interact with APIs.
>> Anypoint Platform offers a mocking capability on all the published API specifications to Anypoint Exchange which also will be rich in documentation covering all details of API functionalities and working nature.
>> No needs of arranging days of workshops with end users for feedback.
API consumers can use Anypoint Exchange features on the platform and interact with the API using its mocking feature. The feedback can be shared quickly on the same to incorporate any changes.
NEW QUESTION # 127
How are an API implementation, API client, and API consumer combined to invoke and process an API?
Answer: A
Explanation:
Correct Answe r: The API consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation
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Terminology:
>> API Client - It is a piece of code or program the is written to invoke an API
>> API Consumer - An owner/entity who owns the API Client. API Consumers write API clients.
>> API - The provider of the API functionality. Typically an API Instance on API Manager where they are managed and operated.
>> API Implementation - The actual piece of code written by API provider where the functionality of the API is implemented. Typically, these are Mule Applications running on Runtime Manager.
NEW QUESTION # 128
Which of the below, when used together, makes the IT Operational Model effective?
Answer: A
Explanation:
Correct Answe r: Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics.
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NEW QUESTION # 129
A set of tests must be performed prior to deploying API implementations to a staging environment. Due to data security and access restrictions, untested APIs cannot be granted access to the backend systems, so instead mocked data must be used for these tests. The amount of available mocked data and its contents is sufficient to entirely test the API implementations with no active connections to the backend systems. What type of tests should be used to incorporate this mocked data?
Answer: C
Explanation:
Correct Answe r: Unit tests (Whitebox)
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Reference:
As per general IT testing practice and MuleSoft recommended practice, Integration and Performance tests should be done on full end to end setup for right evaluation. Which means all end systems should be connected while doing the tests. So, these options are OUT and we are left with Unit Tests and Functional Tests.
As per attached reference documentation from MuleSoft:
Unit Tests - are limited to the code that can be realistically exercised without the need to run it inside Mule itself. So good candidates are Small pieces of modular code, Sub Flows, Custom transformers, Custom components, Custom expression evaluators etc.
Functional Tests - are those that most extensively exercise your application configuration. In these tests, you have the freedom and tools for simulating happy and unhappy paths. You also have the possibility to create stubs for target services and make them success or fail to easily simulate happy and unhappy paths respectively.
As the scenario in the question demands for API implementation to be tested before deployment to Staging and also clearly indicates that there is enough/ sufficient amount of mock data to test the various components of API implementations with no active connections to the backend systems, Unit Tests are the one to be used to incorporate this mocked data.
NEW QUESTION # 130
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