[2023] Valid MCPA-Level-1 test answers & MuleSoft MCPA-Level-1 exam pdf
Verified MCPA-Level-1 dumps Q&As - Pass Guarantee or Full Refund
The MCPA-Level-1 certification exam is a valuable credential for architects who want to demonstrate their expertise with MuleSoft’s Anypoint Platform. MuleSoft Certified Platform Architect - Level 1 certification validates an individual’s ability to design and build integration solutions that meet the complex needs of modern businesses. It also demonstrates a commitment to ongoing education and professional development within the field of enterprise integration.
NEW QUESTION # 34
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. Anypoint Platform APIs can ONLY automate interactions with CloudHub, while the Mule Maven plugin is required for deployment to customer-hosted Mule runtimes
- B. API policies can be applied to the Anypoint Platform APIs so that ONLY certain LOBs have access to specific functions
- C. 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
- D. 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
Answer: D
NEW QUESTION # 35
Refer to the exhibit.
Three business processes need to be implemented, and the implementations need to communicate with several different SaaS applications.
These processes are owned by separate (siloed) LOBs and are mainly independent of each other, but do share a few business entities. Each LOB has one development team and their own budget In this organizational context, what is the most effective approach to choose the API data models for the APIs that will implement these business processes with minimal redundancy of the data models?
A) Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities
B) Build distinct data models for each API to follow established micro-services and Agile API-centric practices
C) Build all API data models using XML schema to drive consistency and reuse across the organization
D) Build one centralized Canonical Data Model (Enterprise Data Model) that unifies all the data types from all three business processes, ensuring the data model is consistent and non-redundant
- A. Option B
- B. Option A
- C. Option D
- D. Option C
Answer: B
Explanation:
Correct answer: Build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.
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>> The options w.r.t building API data models using XML schema/ Agile API-centric practices are irrelevant to the scenario given in the question. So these two are INVALID.
>> Building EDM (Enterprise Data Model) is not feasible or right fit for this scenario as the teams and LOBs work in silo and they all have different initiatives, budget etc.. Building EDM needs intensive coordination among all the team which evidently seems not possible in this scenario.
So, the right fit for this scenario is to build several Bounded Context Data Models that align with coherent parts of the business processes and the definitions of associated business entities.
NEW QUESTION # 36
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. The private IP address range of an Anypoint VPC is automatically chosen by CloudHub
- C. VPC peering can be used to link the underlying AWS VPC to an on-premises (non AWS) private network
- D. Each CloudHub environment requires a separate Anypoint VPC
Answer: B
NEW QUESTION # 37
What is the most performant out-of-the-box solution in Anypoint Platform to track transaction state in an asynchronously executing long-running process implemented as a Mule application deployed to multiple CloudHub workers?
- A. Persistent Object Store
- B. java.util.WeakHashMap
- C. Redis distributed cache
- D. File-based storage
Answer: D
NEW QUESTION # 38
What is true about where an API policy is defined in Anypoint Platform and how it is then applied to API instances?
- A. The API policy Is defined in API Manager and then automatically applied to ALL API instances
- B. The API policy Is defined In Runtime Manager as part of the API deployment to a Mule runtime, and then ONLY applied to the specific API Instance
- C. The API policy is defined in API Manager, and then applied to ALL API instances in the specified environment
- D. The API policy Is defined In API Manager for a specific API Instance, and then ONLY applied to the specific API instance
Answer: D
Explanation:
Correct answer: The API policy is defined in API Manager for a specific API instance, and then ONLY applied to the specific API instance.
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>> Once our API specifications are ready and published to Exchange, we need to visit API Manager and register an API instance for each API.
>> API Manager is the place where management of API aspects takes place like addressing NFRs by enforcing policies on them.
>> We can create multiple instances for a same API and manage them differently for different purposes.
>> One instance can have a set of API policies applied and another instance of same API can have different set of policies applied for some other purpose.
>> These APIs and their instances are defined PER environment basis. So, one need to manage them seperately in each environment.
>> We can ensure that same configuration of API instances (SLAs, Policies etc..) gets promoted when promoting to higher environments using platform feature. But this is optional only. Still one can change them per environment basis if they have to.
>> Runtime Manager is the place to manage API Implementations and their Mule Runtimes but NOT APIs itself. Though API policies gets executed in Mule Runtimes, We CANNOT enforce API policies in Runtime Manager. We would need to do that via API Manager only for a cherry picked instance in an environment.
So, based on these facts, right statement in the given choices is - "The API policy is defined in API Manager for a specific API instance, and then ONLY applied to the specific API instance".
NEW QUESTION # 39
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: C
Explanation:
Correct answer: Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs.
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>> All customizations for the end-user application should be handled in "Experience API" only. Not in Process API
>> We should use tiered approach but NOT always by creating exactly one API for each of the 3 layers. Experience APIs might be one but Process APIs and System APIs are often more than one. System APIs for sure will be more than one all the time as they are the smallest modular APIs built in front of end systems.
>> Process APIs can call System APIs as well as other Process APIs. There is no such anti-design pattern in API-Led connectivity saying Process APIs should not call other Process APIs.
So, the right answer in the given set of options that makes sense as per API-Led connectivity principles is to allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs. This way, some future Process APIs can make use of that data from System APIs and we need NOT touch the System layer APIs again and again.
NEW QUESTION # 40
A System API is designed to retrieve data from a backend system that has scalability challenges.
What API policy can best safeguard the backend system?
- A. OAuth 2 token enforcement
- B. Client ID enforcement
- C. IP whitelist
- D. SLA-based rate limiting
Answer: C
Explanation:
Explanation/Reference: https://dzone.com/articles/how-to-secure-apis
NEW QUESTION # 41
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:
Correct answer: They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity.
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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 # 42
What CANNOT be effectively enforced using an API policy in Anypoint Platform?
- A. Backend system overloading
- B. Maintaining tamper-proof credentials between APIs
- C. Logging HTTP requests and responses
- D. Guarding against Denial of Service attacks
Answer: D
NEW QUESTION # 43
What Mule application can have API policies applied by Anypoint Platform to the endpoint exposed by that Mule application?
- A. A Mule application that accepts JSON requests over WebSocket.
- B. A Mule application that accepts gRPC requests over HTTP/2
- C. A Mule application that accepts requests over HTTP/1x.
- D. A Mule application that accepts JSON requests over TCP but is NOT required to provide a response.
Answer: B
Explanation:
Explanation/Reference:
NEW QUESTION # 44
What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?
- A. The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
- B. The FQDNs are determined by both the application name and the Anypoint Platform organization
- C. A fixed number of FQDNs are created, IRRESPECTIVE of the environment and VPC design
- D. The FQDNs are determined by the application name, but can be modified by an administrator after deployment
Answer: A
NEW QUESTION # 45
What is typically NOT a function of the APIs created within the framework called API-led connectivity?
- A. They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
- B. 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.
- C. They can compose data from various sources and combine them with orchestration logic to create higher level value.
- D. They reduce the dependency on the underlying backend systems by helping unlock data from backend systems In a reusable and consumable way.
Answer: B
NEW QUESTION # 46
Refer to the exhibit.
A developer is building a client application to invoke an API deployed to the STAGING environment that is governed by a client ID enforcement policy.
What is required to successfully invoke the API?
- A. The client ID and secret for the Anypoint Platform account's STAGING environment
- B. The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
- C. A valid OAuth token obtained from Anypoint Platform and its associated client ID and secret
- D. The client ID and secret for the Anypoint Platform account owning the API in the STAGING environment
Answer: A
NEW QUESTION # 47
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?
- A. Modify the client application to call the API using the client application's credentials
- B. Create a new application in Anypoint Exchange for requesting access to the API
- C. Request access to the appropriate API Instances deployed to multiple environments using the client application's credentials
- D. Approve the client application request for the chosen SLA tier
Answer: C
NEW QUESTION # 48
What is a typical result of using a fine-grained rather than a coarse-grained API deployment model to implement a given business process?
- A. A better response time for the end user as a result of the APIs being smaller in scope and complexity
- B. An overall tower usage of resources because each fine-grained API consumes less resources
- C. A higher number of discoverable API-related assets in the application network
- D. A decrease in the number of connections within the application network supporting the business process
Answer: C
Explanation:
Correct answer: A higher number of discoverable API-related assets in the application network.
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>> We do NOT get faster response times in fine-grained approach when compared to coarse-grained approach.
>> In fact, we get faster response times from a network having coarse-grained APIs compared to a network having fine-grained APIs model. The reasons are below.
Fine-grained approach:
1. will have more APIs compared to coarse-grained
2. So, more orchestration needs to be done to achieve a functionality in business process.
3. Which means, lots of API calls to be made. So, more connections will needs to be established. So, obviously more hops, more network i/o, more number of integration points compared to coarse-grained approach where fewer APIs with bulk functionality embedded in them.
4. That is why, because of all these extra hops and added latencies, fine-grained approach will have bit more response times compared to coarse-grained.
5. Not only added latencies and connections, there will be more resources used up in fine-grained approach due to more number of APIs.
That's why, fine-grained APIs are good in a way to expose more number of resuable assets in your network and make them discoverable. However, needs more maintenance, taking care of integration points, connections, resources with a little compromise w.r.t network hops and response times.
NEW QUESTION # 49
What is the main change to the IT operating model that MuleSoft recommends to organizations to improve innovation and clock speed?
- A. Create a lean and agile organization that makes many small decisions everyday; this speeds up decision making and enables each line of business to take ownership of its projects
- B. Expose assets using a Master Data Management (MDM) system; this standardizes projects and enables developers to quickly discover and reuse assets from other projects
- C. Implement SOA for reusable APIs to focus on production over consumption; this standardizes on XML and WSDL formats to speed up decision making
- D. Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardization
Answer: D
Explanation:
Correct answer: Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardization
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>> 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.
References:
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 # 50
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 SSL certificates used by the API implementation to expose HTTPS endpoints
- C. The logging configuration that enables log entries to be visible in Runtime Manager
- D. The number of DNS entries allocated to the API implementation
Answer: B
Explanation:
Correct answer: The SSL certificates used by the API implementation to expose HTTPS endpoints
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>> 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 # 51
An API implementation is updated. When must the RAML definition of the API also be updated?
- A. When the API implementation is migrated from an older to a newer version of the Mule runtime
- B. When the API implementation is optimized to improve its average response time
- C. When the API implementation changes the structure of the request or response messages
- D. When the API implementation changes from interacting with a legacy backend system deployed on-premises to a modern, cloud-based (SaaS) system
Answer: C
NEW QUESTION # 52
What is a key performance indicator (KPI) that measures the success of a typical C4E that is immediately apparent in responses from the Anypoint Platform APIs?
- A. The number of API specifications in RAML or OAS format published to Anypoint Exchange
- B. The number of API implementations that have a publicly accessible HTTP endpoint and are being managed by Anypoint Platform
- C. The number of production outage incidents reported in the last 24 hours
- D. The fraction of API implementations deployed manually relative to those deployed using a CI/CD tool
Answer: B
NEW QUESTION # 53
An API experiences a high rate of client requests (TPS) vwth small message paytoads. How can usage limits be imposed on the API based on the type of client application?
- A. Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type
- B. Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type
- C. Use a spike control policy that limits the number of requests for each client application type
- D. Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type
Answer: A
NEW QUESTION # 54
What Anypoint Platform Capabilities listed below fall under APIs and API Invocations/Consumers category? Select TWO.
- A. API Runtime Execution and Hosting
- B. API Operations and Management
- C. API Consumer Engagement
- D. API Design and Development
Answer: D
Explanation:
Correct Answers: API Design and Development and API Runtime Execution and Hosting
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>> API Design and Development - Anypoint Studio, Anypoint Design Center, Anypoint Connectors
>> API Runtime Execution and Hosting - Mule Runtimes, CloudHub, Runtime Services
>> API Operations and Management - Anypoint API Manager, Anypoint Exchange
Correct Answers: API Operations and Management and API Consumer Engagement
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>> API Design and Development - Anypoint Studio, Anypoint Design Center, Anypoint Connectors
>> API Runtime Execution and Hosting - Mule Runtimes, CloudHub, Runtime Services
>> API Operations and Management - Anypoint API Manager, Anypoint Exchange
>> API Consumer Management - API Contracts, Public Portals, Anypoint Exchange, API Notebooks
NEW QUESTION # 55
What is true about automating interactions with Anypoint Platform using tools such as Anypoint Platform REST APIs, Anypoint CLI, or the Mule Maven plugin?
- A. Anypoint Platform APIs can ONLY automate interactions with CloudHub, while the Mule Maven plugin is required for deployment to customer-hosted Mule runtimes
- B. API policies can be applied to the Anypoint Platform APIs so that ONLY certain LOBs have access to specific functions.
- C. 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.
- D. Access to Anypoint Platform APIs and Anypoint CLI can be controlled separately through the roles and permissions in Anypoint Platform, so that specific users can get access to Anypoint CLI while others get access to the platform APIs.
Answer: C
NEW QUESTION # 56
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