Free PDF 2025 MuleSoft MCPA-Level-1: The Best MuleSoft Certified Platform Architect - Level 1 Reliable Dumps

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MuleSoft MCPA-Level-1 is designed for individuals who have experience in developing, designing, and managing MuleSoft solutions. MCPA-Level-1 exam is suitable for architects, developers, and technical leads who have the knowledge and skills to design and implement MuleSoft solutions that meet business requirements.

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The MuleSoft Certified Platform Architect - Level 1 certification exam consists of 60 multiple-choice questions that must be completed within 120 minutes. MCPA-Level-1 Exam is available in English and can be taken online or at a certified testing center. Upon passing the exam, candidates will receive the MuleSoft Certified Platform Architect - Level 1 certification, which is recognized worldwide and can help professionals advance their careers in the integration space.

MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q145-Q150):

NEW QUESTION # 145
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 B
C. Option D
D. Option C

Answer: D

Explanation:
Correct answer: 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
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As per MuleSoft's API-led connectivity:
>> Experience APIs should be built as per each consumer needs and their experience.
>> Process APIs should contain all the orchestration logic to achieve the business functionality.
>> System APIs should be built for each backend system to unlock their data.
Reference:

NEW QUESTION # 146
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. A decrease in the number of connections within the application network supporting the business process
C. A higher number of discoverable API-related assets in the application network
D. An overall tower usage of resources because each fine-grained API consumes less resources

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 # 147
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
>> API Consumer Management - API Contracts, Public Portals, Anypoint Exchange, API Notebooks

Explanation:
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

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NEW QUESTION # 148
What Mule application deployment scenario requires using Anypoint Platform Private Cloud Edition or Anypoint Platform for Pivotal Cloud Foundry?

A. When it is required that ALL APIs are private and NOT exposed to the public cloud
B. When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data
C. When it Is required to make ALL applications highly available across multiple data centers
D. When ALL backend systems in the application network are deployed in the organization's intranet

Answer: B

Explanation:
Correct answer: When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data.
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We need NOT require to use Anypoint Platform PCE or PCF for the below. So these options are OUT.
>> We can make ALL applications highly available across multiple data centers using CloudHub too.
>> We can use Anypoint VPN and tunneling from CloudHub to connect to ALL backend systems in the application network that are deployed in the organization's intranet.
>> We can use Anypoint VPC and Firewall Rules to make ALL APIs private and NOT exposed to the public cloud.
Only valid reason in the given options that requires to use Anypoint Platform PCE/ PCF is - When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data.

NEW QUESTION # 149
A retail company is using an Order API to accept new orders. The Order API uses a JMS queue to submit orders to a backend order management service. The normal load for orders is being handled using two (2) CloudHub workers, each configured with 0.2 vCore. The CPU load of each CloudHub worker normally runs well below 70%. However, several times during the year the Order API gets four times (4x) the average number of orders. This causes the CloudHub worker CPU load to exceed 90% and the order submission time to exceed 30 seconds. The cause, however, is NOT the backend order management service, which still responds fast enough to meet the response SLA for the Order API. What is the MOST resource-efficient way to configure the Mule application's CloudHub deployment to help the company cope with this performance challenge?

A. Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
B. Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
C. Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
D. Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore

Answer: B

Explanation:
Correct answer: Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
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The scenario in the question is very clearly stating that the usual traffic in the year is pretty well handled by the existing worker configuration with CPU running well below 70%. The problem occurs only "sometimes" occasionally when there is spike in the number of orders coming in.
So, based on above, We neither need to permanently increase the size of each worker nor need to permanently increase the number of workers. This is unnecessary as other than those "occasional" times the resources are idle and wasted.
We have two options left now. Either to use horizontal Cloudhub autoscaling policy to automatically increase the number of workers or to use vertical Cloudhub autoscaling policy to automatically increase the vCore size of each worker.
Here, we need to take two things into consideration:
1. CPU
2. Order Submission Rate to JMS Queue
>> From CPU perspective, both the options (horizontal and vertical scaling) solves the issue. Both helps to bring down the usage below 90%.
>> However, If we go with Vertical Scaling, then from Order Submission Rate perspective, as the application is still being load balanced with two workers only, there may not be much improvement in the incoming request processing rate and order submission rate to JMS queue. The throughput would be same as before. Only CPU utilization comes down.
>> But, if we go with Horizontal Scaling, it will spawn new workers and adds extra hand to increase the throughput as more workers are being load balanced now. This way we can address both CPU and Order Submission rate.
Hence, Horizontal CloudHub Autoscaling policy is the right and best answer.

NEW QUESTION # 150
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