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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Logging and alerting configuration - Operational visibility and optimization - Monitoring strategies and tools |
| Topic 2: Designing and Sharing APIs | 11% | - API design standards and best practices - Asset sharing and reuse via Anypoint Exchange - API specification and documentation - API layering: Experience, Process, System APIs |
| Topic 3: Deploying API Implementations to CloudHub | 11% | - CloudHub architecture and capabilities - Deployment optimization and scaling - Worker sizing and resource planning - VPC and private space configuration |
| Topic 4: Managing APIs | 12% | - Rate limiting and throttling - API policies and security enforcement - API lifecycle management - Versioning and deprecation strategies |
| Topic 5: Applying Integration Patterns | 11% | - Event-driven and synchronous integration - Error handling and reliability patterns - Scalability and performance patterns - Common integration patterns and use cases |
| Topic 6: Architecting and Deploying API Implementations | 11% | - Runtime architecture and deployment options - Networking and security configuration - CI/CD and DevOps integration - High availability and fault tolerance |
| Topic 7: Establishing Organizational and Platform Foundations | 17% | - Anypoint Platform architecture and components - Governance and organizational structure - Center for Enablement (C4E) operating model - Platform strategy and roadmap definition |
| Topic 8: Explaining Application Network Basics | 11% | - API-led connectivity principles - Benefits of modern API design - Core concepts of application networks |
| Topic 9: Meeting API Quality Goals | 8% | - Reliability and availability targets - Security and compliance standards - Maintainability and testability - Performance and latency requirements |
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NEW QUESTION # 63
An application updates an inventory running only one process at any given time to keep the inventory consistent. This process takes 200 milliseconds (.2 seconds) to execute; therefore, the scalability threshold of the application is five requests per second.
What is the impact on the application if horizontal scaling is applied, thereby increasing the number of Mule workers?
Answer: C
Explanation:
Given that the application is designed to handle only one process at a time to maintain data consistency, here's why horizontal scaling won't increase the processing limit:
Single-Process Constraint:
The application limits to processing one transaction at a time due to its design for consistency, meaning horizontal scaling (adding more workers) does not increase processing speed beyond this limit.
Execution Time:
Since each request takes 200 ms, five requests per second is the maximum processing threshold. Increasing the number of workers does not bypass this single-process limitation.
of Correct Answer (A):
The scalability remains at five requests per second, as this constraint is intrinsic to the application's design.
of Incorrect Options:
Option B suggests a change in execution time, which horizontal scaling does not affect.
Option C assumes doubling the throughput, which isn't possible due to the single-threaded nature of the application.
Option D suggests horizontal scaling cannot apply, which is incorrect; however, scaling does not increase throughput in this context.
Reference
For more on understanding scaling and concurrency in Mule applications, see MuleSoft's documentation on application performance and scaling limitations.
NEW QUESTION # 64
What correctly characterizes unit tests of Mule applications?
Answer: A
Explanation:
Correct Answe r: They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity.
*****************************************
Below TWO are characteristics of Integration Tests but NOT unit tests:
>> They test the validity of input and output of source and target systems.
>> They must be triggered by an external client tool or event source.
It is NOT TRUE that Unit Tests must be run in a unit testing environment with dedicated Mule runtimes for the environment.
MuleSoft offers MUnit for writing Unit Tests and they run in an embedded Mule Runtime without needing any separate/ dedicated Runtimes to execute them. They also do NOT need any external connectivity as MUnit supports mocking via stubs.
https://dzone.com/articles/munit-framework
NEW QUESTION # 65
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: B
Explanation:
Correct Answe r: Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console.
*****************************************
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 # 66
The responses to some HTTP requests can be cached depending on the HTTP verb used in the request. According to the HTTP specification, for what HTTP verbs is this safe to do?
Answer: A
Explanation:
Correct Answe r: GET, OPTIONS, HEAD
http://restcookbook.com/HTTP%20Methods/idempotency/
NEW QUESTION # 67
Traffic is routed through an API proxy to an API implementation. The API proxy is managed by API Manager and the API implementation is deployed to a CloudHub VPC using Runtime Manager. API policies have been applied to this API. In this deployment scenario, at what point are the API policies enforced on incoming API client requests?
Answer: A
Explanation:
Correct Answe r: At the API proxy
*****************************************
>> API Policies can be enforced at two places in Mule platform.
>> One - As an Embedded Policy enforcement in the same Mule Runtime where API implementation is running.
>> Two - On an API Proxy sitting in front of the Mule Runtime where API implementation is running.
>> As the deployment scenario in the question has API Proxy involved, the policies will be enforced at the API Proxy.
NEW QUESTION # 68
......
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