MuleSoft Reliable MCPA-Level-1 Dumps Ebook: MuleSoft Certified Platform Architect - Level 1 - ITExamDownload Free Download

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MuleSoft MCPA-Level-1 certification exam is an excellent way for IT professionals, architects, and developers to demonstrate their expertise in designing, building, and managing integration solutions using MuleSoft Anypoint Platform. MuleSoft Certified Platform Architect - Level 1 certification exam measures the candidate's knowledge and skills in various areas, including integration design patterns, API design, and implementation, data transformation, security, and governance. A passing score on the exam validates the candidate's proficiency in MuleSoft Anypoint Platform and enhances their career prospects.

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q17-Q22):

NEW QUESTION # 17
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. Create API Notebooks and include them in the relevant Anypoint Exchange entries
  • B. Make relevant APIs discoverable via an Anypoint Exchange entry
  • C. Ensure the APIs are well documented through their Anypoint Exchange entries and API Consoles and share these pages with all API consumers
  • D. Enable mocking services for each of the relevant APIs and expose them via their Anypoint Exchange entry

Answer: A

Explanation:
Correct answer: Create API Notebooks and Include them in the relevant Anypoint exchange entries
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>> API Notebooks are the one on Anypoint Platform that enable us to provide code-centric API documentation Reference:


NEW QUESTION # 18
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. A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes
  • B. An SLA for the upstream API CANNOT be provided
  • C. The invocation of the downstream API will run to completion without timing out
  • D. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes

Answer: B

Explanation:
An SLA for the upstream API CANNOT be provided.
*****************************************
>> 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 # 19
What API policy would LEAST likely be applied to a Process API?

  • A. Client ID enforcement
  • B. Rate limiting
  • C. JSON threat protection
  • D. Custom circuit breaker

Answer: C

Explanation:
Correct answer: JSON threat protection
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Fact: Technically, there are no restrictions on what policy can be applied in what layer. Any policy can be applied on any layer API. However, context should also be considered properly before blindly applying the policies on APIs.
That is why, this question asked for a policy that would LEAST likely be applied to a Process API.
From the given options:
>> All policies except "JSON threat protection" can be applied without hesitation to the APIs in Process tier.
>> JSON threat protection policy ideally fits for experience APIs to prevent suspicious JSON payload coming from external API clients. This covers more of a security aspect by trying to avoid possibly malicious and harmful JSON payloads from external clients calling experience APIs.
As external API clients are NEVER allowed to call Process APIs directly and also these kind of malicious and harmful JSON payloads are always stopped at experience API layer only using this policy, it is LEAST LIKELY that this same policy is again applied on Process Layer API.


NEW QUESTION # 20
An organization is implementing a Quote of the Day API that caches today's quote.
What scenario can use the GoudHub Object Store via the Object Store connector to persist the cache's state?

  • A. 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
  • B. 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
  • C. When there are three CloudHub deployments of the API implementation to three separate CloudHub regions that must share the cache state
  • D. When there is one CloudHub deployment of the API implementation to three CloudHub workers that must share the cache state

Answer: D

Explanation:
Correct answer: When there is one CloudHub deployment of the API implementation to three CloudHub workers that must share the cache state.
*****************************************
Key details in the scenario:
>> Use the CloudHub Object Store via the Object Store connector
Considering above details:
>> CloudHub Object Stores have one-to-one relationship with CloudHub Mule Applications.
>> We CANNOT use an application's CloudHub Object Store to be shared among multiple Mule applications running in different Regions or Business Groups or Customer-hosted Mule Runtimes by using Object Store connector.
>> If it is really necessary and very badly needed, then Anypoint Platform supports a way by allowing access to CloudHub Object Store of another application using Object Store REST API. But NOT using Object Store connector.
So, the only scenario where we can use the CloudHub Object Store via the Object Store connector to persist the cache's state is when there is one CloudHub deployment of the API implementation to multiple CloudHub workers that must share the cache state.


NEW QUESTION # 21
A company has created a successful enterprise data model (EDM). The company is committed to building an application network by adopting modern APIs as a core enabler of the company's IT operating model. At what API tiers (experience, process, system) should the company require reusing the EDM when designing modern API data models?

  • A. At the process and system tiers
  • B. At the experience, process, and system tiers
  • C. At the experience and process tiers
  • D. At the experience and system tiers

Answer: A

Explanation:
Correct answer: At the process and system tiers
*****************************************
>> Experience Layer APIs are modeled and designed exclusively for the end user's experience. So, the data models of experience layer vary based on the nature and type of such API consumer. For example, Mobile consumers will need light-weight data models to transfer with ease on the wire, where as web-based consumers will need detailed data models to render most of the info on web pages, so on. So, enterprise data models fit for the purpose of canonical models but not of good use for experience APIs.
>> That is why, EDMs should be used extensively in process and system tiers but NOT in experience tier.


NEW QUESTION # 22
......

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