MuleSoft Certified Platform Architect - Level 1 Exam Simulator - MCPA-Level-1 Free Demo & MCPA-Level-1 Training Pdf

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MuleSoft MCPA-Level-1 is an exam that certifies an individual as a MuleSoft Certified Platform Architect at Level 1. It is a highly respected certification for individuals who work with the MuleSoft platform. MCPA-Level-1 exam tests an individual’s knowledge of designing and building API solutions using MuleSoft technology.

The MCPA-Level-1 exam is the first step in the MuleSoft Certified Platform Architect certification program. It validates the candidate's skills and expertise in designing and building scalable, efficient, and robust MuleSoft solutions that meet business requirements. To prepare for the exam, candidates should have a strong understanding of MuleSoft architecture, API-led connectivity, and integration patterns. They should also have hands-on experience working with MuleSoft and take advantage of the training courses and resources offered by MuleSoft.

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The MCPA-Level 1 exam covers a wide range of topics related to MuleSoft architecture, including API-led connectivity, MuleSoft design patterns, security, and performance optimization. MCPA-Level-1 Exam is designed to test the candidate's understanding of the MuleSoft platform and their ability to design and build efficient and effective MuleSoft applications.

MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q133-Q138):

NEW QUESTION # 133
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 requests over HTTP/1.x

B) A Mule application that accepts JSON requests over TCP but is NOT required to provide a response C) A Mute application that accepts JSON requests over WebSocket D) A Mule application that accepts gRPC requests over HTTP/2

A. Option A
B. Option C
C. Option D
D. Option B

Answer: A

Explanation:
Option A
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>> Anypoint API Manager and API policies are applicable to all types of HTTP/1.x APIs.
>> They are not applicable to WebSocket APIs, HTTP/2 APIs and gRPC APIs

NEW QUESTION # 134
An API implementation is deployed on a single worker on CloudHub and invoked by external API clients (outside of CloudHub). How can an alert be set up that is guaranteed to trigger AS SOON AS that API implementation stops responding to API invocations?

A. Implement a heartbeat/health check within the API and invoke it from outside the Anypoint Platform and alert when the heartbeat does not respond
B. Handle API invocation exceptions within the calling API client and raise an alert from that API client when the API Is unavailable
C. Create an alert for when the API receives no requests within a specified time period
D. Configure a "worker not responding" alert in Anypoint Runtime Manager

Answer: D

Explanation:
Configure a "Worker not responding" alert in Anypoint Runtime Manager.
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>> All the options eventually helps to generate the alert required when the application stops responding.
>> However, handling exceptions within calling API and then raising alert from API client is inappropriate and silly. There could be many API clients invoking the API implementation and it is not ideal to have this setup consistently in all of them. Not a realistic way to do.
>> Implementing a health check/ heartbeat with in the API and calling from outside to detmine the health sounds OK but needs extra setup for it and same time there are very good chances of generating false alarms when there are any intermittent network issues between external tool calling the health check API on API implementation. The API implementation itself may not have any issues but due to some other factors some false alarms may go out.
>> Creating an alert in API Manager when the API receives no requests within a specified time period would actually generate realistic alerts but even here some false alarms may go out when there are genuinely no requests from API clients.
The best and right way to achieve this requirement is to setup an alert on Runtime Manager with a condition
"Worker not responding". This would generate an alert AS SOON AS the workers become unresponsive.

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NEW QUESTION # 135
The implementation of a Process API must change.
What is a valid approach that minimizes the impact of this change on API clients?

A. Implement the Process API changes in a new API implementation, and have the old API implementation return an HTTP status code 301 - Moved Permanently to inform API clients they should be calling the new API implementation
B. Implement required changes to the Process API implementation so that whenever possible, the Process API's RAML definition remains unchanged
C. Postpone changes until API consumers acknowledge they are ready to migrate to a new Process API or API version
D. Update the RAML definition of the current Process API and notify API client developers by sending them links to the updated RAML definition

Answer: B

Explanation:
Implement required changes to the Process API implementation so that, whenever possible, the Process API's RAML definition remains unchanged.
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Key requirement in the question is:
>> Approach that minimizes the impact of this change on API clients
Based on above:
>> Updating the RAML definition would possibly impact the API clients if the changes require any thing mandatory from client side. So, one should try to avoid doing that until really necessary.
>> Implementing the changes as a completely different API and then redirectly the clients with 3xx status code is really upsetting design and heavily impacts the API clients.
>> Organisations and IT cannot simply postpone the changes required until all API consumers acknowledge they are ready to migrate to a new Process API or API version. This is unrealistic and not possible.
The best way to handle the changes always is to implement required changes to the API implementations so that, whenever possible, the API's RAML definition remains unchanged.

NEW QUESTION # 136
An organization uses various cloud-based SaaS systems and multiple on-premises systems. The on-premises systems are an important part of the organization's application network and can only be accessed from within the organization's intranet.
What is the best way to configure and use Anypoint Platform to support integrations with both the cloud-based SaaS systems and on-premises systems?
A) Use CloudHub-deployed Mule runtimes in an Anypoint VPC managed by Anypoint Platform Private Cloud Edition control plane

B) Use CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform control plane

C) Use an on-premises installation of Mule runtimes that are completely isolated with NO external network access, managed by the Anypoint Platform Private Cloud Edition control plane

D) Use a combination of Cloud Hub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Anypoint Platform control plane

A. Option C
B. Option A
C. Option D
D. Option B

Answer: D

Explanation:
Correct answer: Use a combination of CloudHub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Platform control plane.
*****************************************
Key details to be taken from the given scenario:
>> Organization uses BOTH cloud-based and on-premises systems
>> On-premises systems can only be accessed from within the organization's intranet Let us evaluate the given choices based on above key details:
>> CloudHub-deployed Mule runtimes can ONLY be controlled using MuleSoft-hosted control plane. We CANNOT use Private Cloud Edition's control plane to control CloudHub Mule Runtimes. So, option suggesting this is INVALID
>> Using CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform is completely IRRELEVANT to given scenario and silly choice. So, option suggesting this is INVALID
>> Using an on-premises installation of Mule runtimes that are completely isolated with NO external network access, managed by the Anypoint Platform Private Cloud Edition control plane would work for On-premises integrations. However, with NO external access, integrations cannot be done to SaaS-based apps. Moreover CloudHub-hosted apps are best-fit for integrating with SaaS-based applications. So, option suggesting this is BEST WAY.
The best way to configure and use Anypoint Platform to support these mixed/hybrid integrations is to use a combination of CloudHub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Platform control plane.

NEW QUESTION # 137
When designing an upstream API and its implementation, the development team has been advised to NOT set timeouts when invoking a downstream API, because that downstream API has no SLA that can be relied upon.
This is the only downstream API dependency of that upstream API.
Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?

A. The invocation of the downstream API will run to completion without timing out
B. A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes
C. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes
D. An SLA for the upstream API CANNOT be provided

Answer: D

Explanation:
An SLA for the upstream API CANNOT be provided.
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>> First thing first, the default HTTP response timeout for HTTP connector is 10000 ms (10 seconds). NOT
500 ms.
>> Mule runtime does NOT apply any such "load-dependent" timeouts. There is no such behavior currently in Mule.
>> As there is default 10000 ms time out for HTTP connector, we CANNOT always guarantee that the invocation of the downstream API will run to completion without timing out due to its unreliable SLA times.
If the response time crosses 10 seconds then the request may time out.
The main impact due to this is that a proper SLA for the upstream API CANNOT be provided.

NEW QUESTION # 138
......

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