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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q128-Q133):
NEW QUESTION # 128
Refer to the exhibit. An organization is running a Mule standalone runtime and has configured Active Directory as the Anypoint Platform external Identity Provider. The organization does not have budget for other system components.
What policy should be applied to all instances of APIs in the organization to most effecuvelyKestrict access to a specific group of internal users?
- A. Apply a client ID enforcement policy; the specific group of users will configure their client applications to use their specific client credentials
- B. Apply an IP whitelist policy; only the specific users' workstations will be in the whitelist
- C. Apply a basic authentication - LDAP policy; the internal Active Directory will be configured as the LDAP source for authenticating users
- D. Apply an OAuth 2.0 access token enforcement policy; the internal Active Directory will be configured as the OAuth server
Answer: C
NEW QUESTION # 129
An established communications company is beginning its API-led connectivity journey, The company has been using a successful Enterprise Data Model for many years. The company has identified a self-service account management app as the first effort for API-led, and it has identified the following APIs.
Experience layer: Mobile Account Management EAPI, Browser Account Management EAPI Process layer: Customer Lookup PAPI, Service Lookup PAPI, Account Lookup PAPI System layer: Customer SAPI, Account SAPI, Product SAPI, Service SAPI According to MuleSoft's API-led connectivity approach, which API would not be served by the Enterprise Data Model?
- A. Customer SAPI
- B. Mobile Account Management EAPI
- C. Customer Lookup PAPI
- D. Service SAPI
Answer: B
Explanation:
In the API-led connectivity approach, APIs are categorized into Experience, Process, and System layers:
* Enterprise Data Model Scope:
* The Enterprise Data Model (EDM) generally supports System APIs and some Process APIs by defining standard data structures used across the organization. Experience APIs, however, are tailored to specific applications or interfaces and are less likely to be served directly by the EDM, as they may require customized data representations to meet the unique needs of each user interface.
* Why Option C is Correct:
* The Mobile Account Management EAPI serves mobile-specific needs and often requires data formatted differently from the standardized data models. Thus, it would be outside the direct scope of the EDM and might employ custom mappings to fit mobile application requirements.
* Explanation of Incorrect Options:
* Option A (Customer SAPI), Option B (Customer Lookup PAPI), and Option D (Service SAPI) would typically align with the EDM as they are closer to the core data and services the EDM supports.
ReferencesFor additional guidance, review MuleSoft's best practices on API-led connectivity and data modeling.
NEW QUESTION # 130
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 C
- B. Option D
- C. Option B
- D. Option A
Answer: D
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.
*****************************************
>> 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 # 131
Several times a week, an API implementation shows several thousand requests per minute in an Anypoint Monitoring dashboard, Between these bursts, the dashboard shows between two and five requests per minute. The API implementation is running on Anypoint Runtime Fabric with two non-clustered replicas, reserved vCPU 1.0 and vCPU Limit 2.0.
An API consumer has complained about slow response time, and the dashboard shows the 99 percentile is greater than 120 seconds at the time of the complaint. It also shows greater than 90% CPU usage during these time periods.
In manual tests in the QA environment, the API consumer has consistently reproduced the slow response time and high CPU usage, and there were no other API requests at this time. In a brainstorming session, the engineering team has created several proposals to reduce the response time for requests.
Which proposal should be pursued first?
- A. Modify the API client to split the problematic request into smaller, less-demanding requests
- B. Increase the number of replicas of the API implementation
- C. Increase the vCPU resources of the API implementation
- D. Throttle the APT client to reduce the number of requests per minute
Answer: C
Explanation:
* Scenario Analysis:
* The API implementation is experiencing high CPU usage (over 90%) during bursts of requests, which correlates with slow response times, as indicated by a 99th percentile response time greater than 120 seconds.
* The API implementation is running on Anypoint Runtime Fabric with two non-clustered replicas and has a reserved vCPU of 1.0 and a vCPU limit of 2.0.
* The high CPU usage during bursts suggests that the current resources may not be sufficient to handle peak loads.
* Evaluating the Options:
* Option A (Correct Answer): Increasing the vCPU resources for each replica would provide more processing power to handle high traffic volumes, potentially reducing the response time during spikes. Since the CPU usage is consistently high during bursts, this option directly addresses the resource bottleneck.
* Option B: Modifying the API client to split requests may reduce individual request load but could be complex to implement on the client side and may not fully address the high CPU issue.
* Option C: Increasing the number of replicas could help distribute the load; however, with a high CPU load on each replica, adding more replicas without increasing CPU resources may not fully resolve the problem.
* Option D: Throttling the client would reduce the number of requests, but this may not be acceptable if the client needs to maintain a high request rate. It also does not directly address the CPU limitations of the API implementation.
* Conclusion:
* Option A is the best choice as it addresses the root cause of high CPU usage by increasing the vCPU allocation, allowing the API to handle more requests efficiently. This should be pursued first before considering other options.
Refer to MuleSoft's documentation on Runtime Fabric and vCPU resource allocation for more details on optimizing API performance in high-demand environments.
NEW QUESTION # 132
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. A valid OAuth token obtained from Anypoint Platform and its associated client ID and secret
- B. The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
- C. The client ID and secret for the Anypoint Platform account's STAGING environment
- D. The client ID and secret for the Anypoint Platform account owning the API in the STAGING environment
Answer: B
Explanation:
The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
*****************************************
>> We CANNOT use the client ID and secret of Anypoint Platform account or any individual environments for accessing the APIs
>> As the type of policy that is enforced on the API in question is "Client ID Enforcment Policy", OAuth token based access won't work.
Right way to access the API is to use the client ID and secret obtained from Anypoint Exchange for the API instance in a particular environment we want to work on.
References:
Managing API instance Contracts on API Manager
https://docs.mulesoft.com/api-manager/1.x/request-access-to-api-task
https://docs.mulesoft.com/exchange/to-request-access
https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-based-policies
NEW QUESTION # 133
......
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