MCPA-Level-1-Maintenance Valid Exam Question - 2023 First-grade MCPA-Level-1-Maintenance: MuleSoft Certified Platform Architect - Level 1 MAINTENANCE Detailed Answers

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By passing the MuleSoft MCPA-Level-1-Maintenance exam, candidates can demonstrate their expertise in maintaining and upgrading the MuleSoft platform. The certification also validates their skills in troubleshooting and performance tuning, which are critical for ensuring the smooth functioning of the platform. The certification can also boost the candidates' career prospects and help them advance in their roles as MuleSoft platform architects.

MuleSoft Certified Platform Architect - Level 1 MAINTENANCE Sample Questions (Q80-Q85):

NEW QUESTION # 80
An organization has several APIs that accept JSON data over HTTP POST. The APIs are all publicly available and are associated with several mobile applications and web applications.
The organization does NOT want to use any authentication or compliance policies for these APIs, but at the same time, is worried that some bad actor could send payloads that could somehow compromise the applications or servers running the API implementations.
What out-of-the-box Anypoint Platform policy can address exposure to this threat?

A. Apply an IP blacklist policy to all APIs; the blacklist will Include all bad actors
B. Shut out bad actors by using HTTPS mutual authentication for all API invocations
C. Apply a JSON threat protection policy to all APIs to detect potential threat vectors
D. Apply a Header injection and removal policy that detects the malicious data before it is used

Answer: C

Explanation:
Apply a JSON threat protection policy to all APIs to detect potential threat vectors
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>> Usually, if the APIs are designed and developed for specific consumers (known consumers/customers) then we would IP Whitelist the same to ensure that traffic only comes from them.
>> However, as this scenario states that the APIs are publicly available and being used by so many mobile and web applications, it is NOT possible to identify and blacklist all possible bad actors.
>> So, JSON threat protection policy is the best chance to prevent any bad JSON payloads from such bad actors.

NEW QUESTION # 81
How can the application of a rate limiting API policy be accurately reflected in the RAML definition of an API?

A. By refining the response definitions by adding the out-of-the-box Anypoint Platform rate-limit-enforcement securityScheme with description, type, and example
B. By refining the request definitions by adding a remaining Requests query parameter with description, type, and example
C. By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example
D. By refining the resource definitions by adding a description of the rate limiting policy behavior

Answer: C

Explanation:
By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example
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References:
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling#response-headers
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-headers

NEW QUESTION # 82
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 Runtime Manager as part of the API deployment to a Mule runtime, and then ONLY applied to the specific API Instance
B. The API policy Is defined In API Manager for a specific API Instance, and then ONLY applied to the specific API instance
C. The API policy Is defined in API Manager and then automatically applied to ALL API instances
D. The API policy is defined in API Manager, and then applied to ALL API instances in the specified environment

Answer: B

Explanation:
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 # 83
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. Redis distributed cache
B. File-based storage
C. Persistent Object Store
D. java.util.WeakHashMap

Answer: C

Explanation:
Persistent Object Store
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>> Redis distributed cache is performant but NOT out-of-the-box solution in Anypoint Platform
>> File-storage is neither performant nor out-of-the-box solution in Anypoint Platform
>> java.util.WeakHashMap needs a completely custom implementation of cache from scratch using Java code and is limited to the JVM where it is running. Which means the state in the cache is not worker aware when running on multiple workers. This type of cache is local to the worker. So, this is neither out-of-the-box nor worker-aware among multiple workers on cloudhub. https://www.baeldung.com/java-weakhashmap
>> Persistent Object Store is an out-of-the-box solution provided by Anypoint Platform which is performant as well as worker aware among multiple workers running on CloudHub. https://docs.mulesoft.com/object-store/ So, Persistent Object Store is the right answer.

NEW QUESTION # 84
What are 4 important Platform Capabilities offered by Anypoint Platform?

A. API Design and Development, API Runtime Execution and Hosting, API Operations and Management, API Consumer Engagement
B. API Design and Development, API Runtime Execution and Hosting, API Versioning, API Deprecation
C. API Versioning, API Runtime Execution and Hosting, API Invocation, API Consumer Engagement
D. API Design and Development, API Deprecation, API Versioning, API Consumer Engagement

Answer: A

Explanation:
API Design and Development, API Runtime Execution and Hosting, API Operations and Management, 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 # 85
......

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