Latest MCPA-Level-1 Exam Real Tests Free Updated Today
MCPA-Level-1 Real Exam Question Answers Updated [May 09, 2025]
NEW QUESTION # 71
A code-centric API documentation environment should allow API consumers to investigate and execute API client source code that demonstrates invoking one or more APIs as part of representative scenarios.
What is the most effective way to provide this type of code-centric API documentation environment using Anypoint Platform?
- A. Make relevant APIs discoverable via an Anypoint Exchange entry
- B. Ensure the APIs are well documented through their Anypoint Exchange entries and API Consoles and share these pages with all API consumers
- C. Create API Notebooks and include them in the relevant Anypoint Exchange entries
- D. Enable mocking services for each of the relevant APIs and expose them via their Anypoint Exchange entry
Answer: C
NEW QUESTION # 72
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?
- A. GET, PUT, OPTIONS
- B. GET, OPTIONS, HEAD
- C. PUT, POST, DELETE
- D. GET, HEAD, POST
Answer: B
Explanation:
Explanation/Reference: http://restcookbook.com/HTTP%20Methods/idempotency/
NEW QUESTION # 73
An organization is implementing a Quote of the Day API that caches today's quote.
- A. When there is one CloudHub deployment of the API implementation to three CloudHub workers that must share the cache state
- B. When there are three CloudHub deployments of the API implementation to three separate CloudHub regions that must share the cache state
- C. When there is one deployment of the API implementation to CloudHub and anottV deployment to a customer-hosted Mule runtime that must share the cache state
- D. When there are two CloudHub deployments of the API implementation by two Anypoint Platform business groups to the same CloudHub region that must share the cache state
- E. What scenario can use the GoudHub Object Store via the Object Store connector to persist the cache's state?
Answer: D
NEW QUESTION # 74
In an organization, the InfoSec team is investigating Anypoint Platform related data traffic.
From where does most of the data available to Anypoint Platform for monitoring and alerting originate?
- A. From the Mule runtime or the API Manager, depending on the type of data
- B. From the Mule runtime irrespective of the deployment model
- C. From various components of Anypoint Platform, such as the Shared Load Balancer, VPC, and Mule runtimes
- D. From the Mule runtime or the API implementation, depending on the deployment model
Answer: B
Explanation:
Correct answer: From the Mule runtime irrespective of the deployment model
*****************************************
>> Monitoring and Alerting metrics are always originated from Mule Runtimes irrespective of the deployment model.
>> It may seems that some metrics (Runtime Manager) are originated from Mule Runtime and some are (API Invocations/ API Analytics) from API Manager. However, this is realistically NOT TRUE. The reason is, API manager is just a management tool for API instances but all policies upon applying on APIs eventually gets executed on Mule Runtimes only (Either Embedded or API Proxy).
>> Similarly all API Implementations also run on Mule Runtimes.
So, most of the day required for monitoring and alerts are originated fron Mule Runtimes only irrespective of whether the deployment model is MuleSoft-hosted or Customer-hosted or Hybrid.
NEW QUESTION # 75
What correctly characterizes unit tests of Mule applications?
- A. They must be triggered by an external client tool or event source
- B. They must be run in a unit testing environment with dedicated Mule runtimes for the environment
- C. They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity
- D. They test the validity of input and output of source and target systems
Answer: C
Explanation:
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 # 76
What Mule application deployment scenario requires using Anypoint Platform Private Cloud Edition or Anypoint Platform for Pivotal Cloud Foundry?
- A. When it Is required to make ALL applications highly available across multiple data centers
- B. When it is required that ALL APIs are private and NOT exposed to the public cloud
- C. When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data
- D. When ALL backend systems in the application network are deployed in the organization's intranet
Answer: D
NEW QUESTION # 77
Refer to the exhibit. An organization needs to enable access to their customer data from both a mobile app and a web application, which each need access to common fields as well as certain unique fields.
The data is available partially in a database and partially in a 3rd-party CRM system.
What APIs should be created to best fit these design requirements?
A) A Process API that contains the data required by both the web and mobile apps, allowing these applications to invoke it directly and access the data they need thereby providing the flexibility to add more fields in the future without needing API changes
B) One set of APIs (Experience API, Process API, and System API) for the web app, and another set for the mobile app
C) Separate Experience APIs for the mobile and web app, but a common Process API that invokes separate System APIs created for the database and CRM system
D) A common Experience API used by both the web and mobile apps, but separate Process APIs for the web and mobile apps that interact with the database and the CRM System
- A. Option A
- B. Option D
- C. Option B
- D. Option C
Answer: D
NEW QUESTION # 78
What is true about automating interactions with Anypoint Platform using tools such as Anypoint Platform REST APIs, Anypoint CU, or the Mule Maven plugin?
- A. By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications
- B. API policies can be applied to the Anypoint Platform APIs so that ONLY certain LOBs have access to specific functions
- C. Anypoint Platform APIs can ONLY automate interactions with CloudHub, while the Mule Maven plugin is required for deployment to customer-hosted Mule runtimes
- D. Access to Anypoint Platform APIs and Anypoint CU can be controlled separately through the roles and permissions in Anypoint Platform, so that specific users can get access to Anypoint CLI white others get access to the platform APIs
Answer: A
Explanation:
By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications
*****************************************
>> We CANNOT apply API policies to the Anypoint Platform APIs like we can do on our custom written API instances. So, option suggesting this is FALSE.
>> Anypoint Platform APIs can be used for automating interactions with both CloudHub and customer-hosted Mule runtimes. Not JUST the CloudHub. So, option opposing this is FALSE.
>> Mule Maven plugin is NOT mandatory for deployment to customer-hosted Mule runtimes. It just helps your CI/CD to have smoother automation. But not a compulsory requirement to deploy. So, option opposing this is FALSE.
>> We DO NOT have any such special roles and permissions on the platform to separately control access for some users to have Anypoint CLI and others to have Anypoint Platform APIs. With proper general roles
/permissions (API Owner, Cloudhub Admin etc..), one can use any of the options (Anypoint CLI or Platform APIs). So, option suggesting this is FALSE.
Only TRUE statement given in the choices is that - Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications.
Maven is part of Studio or you can use other Maven installation for development.
CLI is convenience only. It is one of many ways how to install app to the runtime.
These are definitely NOT part of anything except your process of deployment or automation.
NEW QUESTION # 79
What API policy would LEAST likely be applied to a Process API?
- A. Rate limiting
- B. JSON threat protection
- C. Client ID enforcement
- D. Custom circuit breaker
Answer: D
NEW QUESTION # 80
What is a best practice when building System APIs?
- A. Document the API using an easily consumable asset like a RAML definition
- B. Expose to API clients all technical details of the API implementation's interaction wifch the backend system
- C. Build an Enterprise Data Model (Canonical Data Model) for each backend system and apply it to System APIs
- D. Model all API resources and methods to closely mimic the operations of the backend system
Answer: D
Explanation:
Correct answer: Model all API resources and methods to closely mimic the operations of the backend system.
*****************************************
>> There are NO fixed and straight best practices while opting data models for APIs. They are completly contextual and depends on number of factors. Based upon those factors, an enterprise can choose if they have to go with Enterprise Canonical Data Model or Bounded Context Model etc.
>> One should NEVER expose the technical details of API implementation to their API clients. Only the API interface/ RAML is exposed to API clients.
>> It is true that the RAML definitions of APIs should be as detailed as possible and should reflect most of the documentation. However, just that is NOT enough to call your API as best documented API. There should be even more documentation on Anypoint Exchange with API Notebooks etc. to make and create a developer friendly API and repository..
>> The best practice always when creating System APIs is to create their API interfaces by modeling their resources and methods to closely reflect the operations and functionalities of that backend system.
NEW QUESTION # 81
What Anypoint Connectors support transactions?
- A. Database, JMS, VM, SFTP
- B. Database, 3MS, HTTP
- C. Database, JMS, VM
- D. Database, VM, File
Answer: C
NEW QUESTION # 82
Which out-of-the-box key performance indicator measures the success of a typical Center for Enablement and is immediately available in responses from Anypoint Platform APIs?
- A. Per deployed API implementation, the amount of bandwidth consumed each day
- B. Per business group, the ratio of the number of production APT implementations deployed using a C1
/CD pipeline to the number of production API implementations deployed manually - C. Per published API, the number of developers that downloaded s version of the API specification
- D. Per published API, the number of consumers that requested access to the API and have been approved in the Production environment
Answer: D
Explanation:
* Center for Enablement (C4E) KPIs:
* A Center for Enablement (C4E) in MuleSoft focuses on enabling self-service and reuse by providing APIs that can be consumed across the organization. A key metric of success is how many consumers are utilizing the published APIs.
* The number of consumers who have requested and received access to an API indicates the level of adoption and reuse, which aligns with the goals of a C4E.
* Evaluating the Options:
* Option A: This metric could indicate deployment automation, but it is not a direct measure of C4E's success in enabling API reuse and consumption.
* Option B: Bandwidth usage per API implementation provides insight into API traffic but does not measure C4E enablement or consumer engagement.
* Option C: The number of developers downloading an API specification can be an indicator of interest but does not confirm actual usage or enablement.
* Option D (Correct Answer): The number of consumers who have requested and received access to an API in production is a key metric indicating API adoption and reuse, which aligns with C4E's goals.
* Conclusion:
* Option D is the correct answer as it provides a direct measure of consumer engagement and adoption, indicating the success of the C4E in promoting API usage across the organization.
Refer to MuleSoft's documentation on C4E KPIs and API usage metrics for additional insights.
NEW QUESTION # 83
What is typically NOT a function of the APIs created within the framework called API-led connectivity?
- A. They can compose data from various sources and combine them with orchestration logic to create higher level value.
- B. They reduce the dependency on the underlying backend systems by helping unlock data from backend systems In a reusable and consumable way.
- C. They allow for innovation at the user Interface level by consuming the underlying assets without being aware of how data Is being extracted from backend systems.
- D. They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
Answer: D
Explanation:
Explanation
https://dzone.com/articles/api-led-connectivity-with-mule
NEW QUESTION # 84
A Platinum customer uses the U.S. control plane and deploys applications to CloudHub in Singapore with a default log configuration.
The compliance officer asks where the logs and monitoring data reside?
- A. Logs and monitoring data are held in the United States
- B. Logs and monitoring data are held in Singapore
- C. Logs are held in:Singapore and monitoring data is held in the United States
- D. Logs are held in the United States and monitoring data is held in Singapore
Answer: A
Explanation:
For applications deployed on CloudHub in a foreign region (e.g., Singapore), MuleSoft handles log and monitoring data in the region where the control plane resides. This data storage policy is standard for CloudHub deployments to maintain centralized log and monitoring data.
* Data Location:
* For a U.S.-based control plane, all logs and monitoring data are stored in the United States, regardless of the deployment region.
* Although the application itself runs in Singapore, data related to application performance and logs is not localized to the deployment region.
* Explanation of Correct Answer (B):
* Since the control plane is based in the United States, all operational data like logs and monitoring will also be stored there, ensuring compliance with MuleSoft's data handling policies.
* Explanation of Incorrect Options:
* Option A and D are incorrect because MuleSoft does not store logs or monitoring data in the application deployment region when the control plane is located in the United States.
* Option C suggests mixed storage, which does not align with MuleSoft's data policy structure.
ReferencesFor details on data residency in CloudHub deployments, refer to MuleSoft's documentation on CloudHub control planes and data handling policies.
NEW QUESTION # 85
Which of the following best fits the definition of API-led connectivity?
- A. API-led connectivity is a 3-layered architecture covering Experience, Process and System layers
- B. API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization
- C. API-led connectivity is a technology which enabled us to implement Experience, Process and System layer based APIs
Answer: B
Explanation:
Correct answer: API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization.
*****************************************
Reference:
NEW QUESTION # 86
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?
- A. In the Orderltems process API implementation
- B. In the Inventory system API implementation
- C. In the inventory database
- D. In the Order API implementation
Answer: A
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 # 87
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
- A. Option A
- B. Option C
- C. Option D
- D. Option B
Answer: A
Explanation:
Correct answer: 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 # 88
Refer to the exhibit.
What is a valid API in the sense of API-led connectivity and application networks?
A)Java RMI over TCP
B)Java RMI over TCP
C)CORBA over HOP
D)XML over UDP
- A. Option A
- B. Option C
- C. Option D
- D. Option B
Answer: C
Explanation:
XML over HTTP
*****************************************
>> API-led connectivity and Application Networks urge to have the APIs on HTTP based protocols for building most effective APIs and networks on top of them.
>> The HTTP based APIs allow the platform to apply various varities of policies to address many NFRs
>> The HTTP based APIs also allow to implement many standard and effective implementation patterns that adhere to HTTP based w3c rules.
Bottom of Form
Top of Form
NEW QUESTION # 89
Question 10: Skipped
An API implementation returns three X-RateLimit-* HTTP response headers to a requesting API client. What type of information do these response headers indicate to the API client?
- A. A correlation ID that should be sent in the next request
- B. The HTTP response size
- C. The remaining capacity allowed by the API implementation
- D. The error codes that result from throttling
Answer: C
Explanation:
The remaining capacity allowed by the API implementation.
*****************************************
>>
Reference:https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-he
NEW QUESTION # 90
What is true about the technology architecture of Anypoint VPCs?
- A. Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network
- B. Each CloudHub environment requires a separate Anypoint VPC
- C. The private IP address range of an Anypoint VPC is automatically chosen by CloudHub
- D. VPC peering can be used to link the underlying AWS VPC to an on-premises (non AWS) private network
Answer: A
Explanation:
Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network
*****************************************
>> The private IP address range of an Anypoint VPC is NOT automatically chosen by CloudHub. It is chosen by us at the time of creating VPC using thr CIDR blocks.
CIDR Block: The size of the Anypoint VPC in Classless Inter-Domain Routing (CIDR) notation.
For example, if you set it to 10.111.0.0/24, the Anypoint VPC is granted 256 IP addresses from 10.111.0.0 to
10.111.0.255.
Ideally, the CIDR Blocks you choose for the Anypoint VPC come from a private IP space, and should not overlap with any other Anypoint VPC's CIDR Blocks, or any CIDR Blocks in use in your corporate network.
that each CloudHub environment requires a separate Anypoint VPC. Once an Anypoint VPC is created, we can choose a same VPC by multiple environments. However, it is generally a best and recommended practice to always have seperate Anypoint VPCs for Non-Prod and Prod environments.
>> We use Anypoint VPN to link the underlying AWS VPC to an on-premises (non AWS) private network.
NOT VPC Peering.
NEW QUESTION # 91
When using CloudHub with the Shared Load Balancer, what is managed EXCLUSIVELY by the API implementation (the Mule application) and NOT by Anypoint Platform?
- A. The assignment of each HTTP request to a particular CloudHub worker
- B. The logging configuration that enables log entries to be visible in Runtime Manager
- C. The number of DNS entries allocated to the API implementation
- D. The SSL certificates used by the API implementation to expose HTTPS endpoints
Answer: D
Explanation:
The SSL certificates used by the API implementation to expose HTTPS endpoints
*****************************************
>> The assignment of each HTTP request to a particular CloudHub worker is taken care by Anypoint Platform itself. We need not manage it explicitly in the API implementation and in fact we CANNOT manage it in the API implementation.
>> The logging configuration that enables log entries to be visible in Runtime Manager is ALWAYS managed in the API implementation and NOT just for SLB. So this is not something we do EXCLUSIVELY when using SLB.
>> We DO NOT manage the number of DNS entries allocated to the API implementation inside the code.
Anypoint Platform takes care of this.
It is the SSL certificates used by the API implementation to expose HTTPS endpoints that is to be managed EXCLUSIVELY by the API implementation. Anypoint Platform does NOT do this when using SLBs.
NEW QUESTION # 92
A Mule application exposes an HTTPS endpoint and is deployed to three CloudHub workers that do not use static IP addresses. The Mule application expects a high volume of client requests in short time periods. What is the most cost-effective infrastructure component that should be used to serve the high volume of client requests?
- A. An API proxy
- B. Runtime Manager autoscaling
- C. The CloudHub shared load balancer
- D. A customer-hosted load balancer
Answer: C
Explanation:
The CloudHub shared load balancer
*****************************************
The scenario in this question can be split as below:
>> There are 3 CloudHub workers (So, there are already good number of workers to handle high volume of requests)
>> The workers are not using static IP addresses (So, one CANNOT use customer load-balancing solutions without static IPs)
>> Looking for most cost-effective component to load balance the client requests among the workers.
Based on the above details given in the scenario:
>> Runtime autoscaling is NOT at all cost-effective as it incurs extra cost. Most over, there are already 3 workers running which is a good number.
>> We cannot go for a customer-hosted load balancer as it is also NOT most cost-effective (needs custom load balancer to maintain and licensing) and same time the Mule App is not having Static IP Addresses which limits from going with custom load balancing.
>> An API Proxy is irrelevant there as it has no role to play w.r.t handling high volumes or load balancing.
So, the only right option to go with and fits the purpose of scenario being most cost-effective is - using a CloudHub Shared Load Balancer.
NEW QUESTION # 93
A large organization with an experienced central IT department is getting started using MuleSoft. There is a project to connect a siloed back-end system to a new Customer Relationship Management (CRM) system. The Center for Enablement is coaching them to use API- led connectivity.
What action would support the creation of an application network using API-led connectivity?
- A. Create a System API to unlock the data on the back-end system using a REST API
- B. To expedite this project, central IT should extend the CRM system and back-end systems to connect to one another using built in integration interfaces
- C. Determine if the new CRM system supports the creation of custom: REST APIs, establishes 4 private network with CloudHub, and supports GAuth 2.0 authentication
- D. Invite the business analyst to create a business process model to specify the canonical data model between the two systems
Answer: A
Explanation:
For an organization starting with API-led connectivity to integrate a siloed back-end system with a new CRM, the following approach aligns with best practices and MuleSoft's Center for Enablement (C4E) guidance:
* API-led Connectivity: This model organizes APIs into distinct layers (System, Process, and Experience) to improve reusability, modularity, and manageability.
* System APIs are used to expose and unlock data from core systems (such as back-end applications or databases).
* Process APIs orchestrate data across multiple systems and transform it as needed.
* Experience APIs format the data specifically for consumption by applications or devices, such as the CRM in this case.
* Step to Support Application Network:
* Create a System API for the back-end system. This API should expose the necessary data to support integration with the CRM.
* By creating a System API with a RESTful interface, data can be accessed in a standardized way, making it easier to integrate with other systems and supporting future scalability.
* Why Option D is Correct:
* Creating a System API aligns with the principle of API-led connectivity, ensuring that data is exposed in a reusable manner. This API can then be orchestrated by Process APIs as needed to meet CRM requirements and can easily be extended to other applications.
* Explanation of Incorrect Options:
* Option A (creating a business process model) does not directly enable connectivity or expose back-end data through APIs.
* Option B is unnecessary at this stage; assessing CRM capabilities like OAuth 2.0 support is not directly related to creating the application network via System APIs.
* Option C contradicts API-led best practices by suggesting a point-to-point integration, which API-led connectivity seeks to avoid due to its lack of flexibility and scalability.
ReferencesRefer to MuleSoft's API-led Connectivity resources for a detailed framework on building scalable integration layers using System, Process, and Experience APIs.
NEW QUESTION # 94
Which of the below, when used together, makes the IT Operational Model effective?
- A. Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics
- B. Create reusable assets, Do marketing on the created assets across organization, Arrange time to time LOB reviews to ensure assets are being consumed or not
- C. Create resuable assets, make them discoverable so that LOB teams can self-serve and browse the APIs
Answer: C
Explanation:
Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics.
*****************************************
Diagram, arrow Description automatically generated
NEW QUESTION # 95
Refer to the exhibit.
What is the best way to decompose one end-to-end business process into a collaboration of Experience, Process, and System APIs?
A) Handle customizations for the end-user application at the Process API level rather than the Experience API level
B) Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs
C) Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs)
D) Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs
- A. Option A
- B. Option D
- C. Option B
- D. Option C
Answer: D
NEW QUESTION # 96
......
Latest MCPA-Level-1 Study Guides 2025 - With Test Engine PDF: https://www.testkingit.com/MuleSoft/latest-MCPA-Level-1-exam-dumps.html