This is the MCPA-Level-1 PDF format which contains real MCPA-Level-1 exam questions. You can print it and make a hard copy of this PDF file as well which helps you to prepare on the go. It comes in handy format and helps you prepare well with updated MuleSoft Certified Platform Architect - Level 1 exam questions. Moreover, this PDF has questions that are according to the present content of the test. This PDF format helps you to enhance your understanding of each topic which you need to self-evaluate to boost your MuleSoft MCPA-Level-1 Exam Score.
To prepare for the MCPA-Level-1 Exam, candidates can take advantage of various resources available online, including study guides, practice tests, and training courses. MuleSoft also offers official training courses that cover all the topics included in the exam. These courses are designed to provide candidates with hands-on experience in designing and building integration solutions using Anypoint Platform.
MuleSoft MCPA-Level-1 Exam is designed to verify and validate the skills, knowledge, and expertise of professionals who work with MuleSoft's Anypoint Platform. MuleSoft Certified Platform Architect - Level 1 certification is specifically targeted towards MuleSoft Platform Architects, who are responsible for designing and implementing complex integration solutions using the Anypoint Platform. The MCPA-Level-1 Exam tests the candidate's ability to design, develop, deploy, and manage MuleSoft applications that are reliable, scalable, and secure.
Acquaint yourself with API policies, policy enforcement, and proxies as you may be dealing with them more often in your future career. Understand which APIs and remote interfaces can be managed by the API manager.
For you to select and establish the correct Anypoint Platform, make sure you understand the role and purpose of the Center for Enablement (C4E) and the different KPIs to gauge its success. Try your best to be able to specify all the possible Anypoint Platform deployment options.
You will be manning the control access to APIs. Hence, you should be able to explain how to register an API client for access as well as how and when to pass client ID and secret to API.
Master the art of evaluating functional requirements and transforming these into business-aligned APIs. Know what situations require polling or callbacks, what specific changes need a major version increment, and when to propose the use of Enterprise Data Model or Bounded Context Data Models. For an optimistic concurrency, be familiar with idempotent HTTP methods and HTTP-native support as well as with reusable API-related assets.
This part involves your ability to deliver APIs in circumstances that would necessitate promotion of APIs with API manager or redeployment of API implementations. You must be skillful in using autodiscovery to link API implementation to API instances. Aside from that, know the automation capabilities of the Anypoint Platform and the integration tests.
This portion reiterates the essence of strengthening your foothold. Have a strong grasp of the “modern API”, application networks, outcome-based delivery (OBD), and most especially the Anypoint Platform. Learn as much as you can about their roles, characteristics, benefits, terms, and capabilities.
Describe the features in scaling API performance, the contrast between CloudHub Shared and Dedicated Load Balancers, and lastly, the single points of failure in Cloudhub usage. Make sure to be knowledgeable with the varying strategies in helping API clients prevent failures in API invocations.
Over and over again, learning the elements of the Anypoint Platform by heart is a vital step for passing MCPA - Level 1. The tasks involved are all interrelated to this main platform. You should be skilled in monitoring, alerting, and analyzing the application networks.
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NEW QUESTION # 36
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 answer: At the API proxy
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>> 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 # 37
Refer to the exhibit.
An organization uses one specific CloudHub (AWS) region for all CloudHub deployments.
How are CloudHub workers assigned to availability zones (AZs) when the organization's Mule applications are deployed to CloudHub in that region?
Answer: A
Explanation:
Workers are randomly distributed across available AZs within that region.
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>> Currently, we only have control to choose which AWS Region to choose but there is no control at all using any configurations or deployment options to decide what Availability Zone (AZ) to assign to what worker.
>> There are NO fixed or implicit rules on platform too w.r.t assignment of AZ to workers based on environment or application.
>> They are completely assigned in random. However, cloudhub definitely ensures that HA is achieved by assigning the workers to more than on AZ so that all workers are not assigned to same AZ for same application.
NEW QUESTION # 38
An API client calls one method from an existing API implementation. The API implementation is later updated. What change to the API implementation would require the API client's invocation logic to also be updated?
Answer: D
Explanation:
Correct answer: When a new required field is added to the method called by the API client
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>> Generally, the logic on API clients need to be updated when the API contract breaks.
>> When a new method or a child method is added to an API , the API client does not break as it can still continue to use its existing method. So these two options are out.
>> We are left for two more where "datatype of the response if changed" and "a new required field is added".
>> Changing the datatype of the response does break the API contract. However, the question is insisting on the "invocation" logic and not about the response handling logic. The API client can still invoke the API successfully and receive the response but the response will have a different datatype for some field.
>> Adding a new required field will break the API's invocation contract. When adding a new required field, the API contract breaks the RAML or API spec agreement that the API client/API consumer and API provider has between them. So this requires the API client invocation logic to also be updated.
NEW QUESTION # 39
In which layer of API-led connectivity, does the business logic orchestration reside?
Answer: A
Explanation:
Correct answer: 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 # 40
4A developer for a transportation organization is implementing exactly one processing functionality in a Reservation Mule application to process and store passenger records. This Reservation application will be deployed to multiple CloudHub workers/replicas. It is possible that several external systems could send duplicate passenger records to the Reservation application.
An appropriate storage mechanism must be selected to help the Reservation application process each passenger record exactly once as much as possible. The selected storage mechanism must be shared by all the CloudHub workers/replicas in order to synchronize the state information to assist attempting exactly once processing of each passenger record by the deployed Reservation Mule application.
Which type of simple storage mechanism in Anypoint Platform allows the Reservation Mule application to update and share data between the CloudHub workers/replicas exactly once, with minimal development effort?
Answer: D
Explanation:
* Processing Requirements and Storage Mechanism:
* The Reservation Mule application will be deployed to multiple CloudHub workers/replicas, meaning that each worker must share state information to handle records exactly once. This requires a shared storage mechanism where state can be stored and accessed by multiple instances to avoid duplicate processing of the same records.
* A Persistent Object Store in Anypoint Platform can be used to store records in a way that is accessible across multiple workers, providing a reliable mechanism for "exactly once" processing.
* Evaluating the Options:
* Option A (Correct Answer): A Persistent Object Store is designed to retain data across different application instances and can be shared by all workers on CloudHub. It helps achieve idempotency by ensuring that a record is processed exactly once.
* Option B: Runtime Fabric Object Store is used for applications deployed in Anypoint Runtime Fabric, not CloudHub. This option would not be compatible with the CloudHub deployment.
* Option C: A Non-persistent Object Store does not retain data across application restarts or different instances, making it unsuitable for the requirement of synchronized storage for exactly- once processing.
* Option D: An In-memory Mule Object Store is local to each worker and is not shared across instances, so it does not meet the requirement for a shared storage mechanism accessible to all CloudHub workers.
* Conclusion:
* Option A is the correct answer, as a Persistent Object Store allows data sharing across multiple CloudHub workers, enabling them to synchronize and achieve "exactly once" processing of passenger records with minimal development effort.
Refer to MuleSoft's documentation on Object Store configurations and usage for best practices on handling state across distributed instances.
NEW QUESTION # 41
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