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Salesforce Certified MuleSoft Platform Architect (Mule-Arch-201) Exam Dumps

Salesforce Certified MuleSoft Platform Architect (Mule-Arch-201) Exam Dumps

Certification Exams

Number Of Questions

152

$ 39

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Description

Exam Name: Salesforce Certified MuleSoft Platform Architect
Exam Code: Salesforce Certified MuleSoft Platform Architect (Mule-Arch-201)
Related Certification(s):

  • Salesforce Architect Certifications
  • Salesforce MuleSoft Platform Architect I Certifications
Certification Provider: Salesforce
Actual Exam Duration: 120 Minutes
Number of Salesforce Certified MuleSoft Platform Architect (Mule-Arch-201) practice questions in our database: 152 
Expected Salesforce Certified MuleSoft Platform Architect (Mule-Arch-201) Exam Topics, as suggested by Salesforce :

  • Module 1: Explaining Application Network Basics: This topic includes subtopics related to identifying and differentiating between technologies for API-led connectivity, describing the role and characteristics of web APIs, assigning APIs to tiers, and understanding Anypoint Platform components.
  • Module 2: Establishing Organizational and Platform Foundations: Advising on a Center for Enablement (C4E) and identifying KPIs, describing MuleSoft Catalyst’s structure, comparing Identity and Client Management options, and identifying data residency types are essential subtopics.
  • Module 3: Designing and Sharing APIs: Identifying dependencies between API components, creating and publishing reusable API assets, mapping API data models between Bounded Contexts, and recognizing idempotent HTTP methods.
  • Module 4: Designing APIs Using System, Process, and Experience Layers: Identifying suitable APIs for business processes, assigning them according to functional focus, and recommending data model approaches are its subtopics.
  • Module 5: Governing Web APIs on Anypoint Platform: This topic includes subtopics related to managing API instances and environments, selecting API policies, enforcing API policies, securing APIs, and understanding OAuth 2.0 relationships.
  • Module 6: Architecting and Deploying API Implementations: It covers important aspects like using auto-discovery, identifying VPC requirements, comparing hosting options, and understanding testing methods. The topic also involves automated building, testing, and deploying in a DevOps setting.
  • Module 7: Deploying API Implementations to CloudHub: Understanding Object Store usage, selecting worker sizes, predicting app reliability and performance, and comparing load balancers. Avoiding single points of failure in deployments is also its sub-topic.
  • Module 8: Meeting API Quality Goals: This topic focuses on designing resilience strategies, selecting appropriate caching and OS usage scenarios, and describing horizontal scaling benefits.
  • Module 9: Monitoring and Analyzing Application Networks: It discusses Anypoint Platform components for data generation, collected metrics, and key alerts. This topic also includes specifying alerts to define Mule applications.

Description

Exam Name: Salesforce Certified MuleSoft Platform Architect
Exam Code: Salesforce Certified MuleSoft Platform Architect (Mule-Arch-201)
Related Certification(s):

  • Salesforce Architect Certifications
  • Salesforce MuleSoft Platform Architect I Certifications
Certification Provider: Salesforce
Actual Exam Duration: 120 Minutes
Number of Salesforce Certified MuleSoft Platform Architect (Mule-Arch-201) practice questions in our database: 152 
Expected Salesforce Certified MuleSoft Platform Architect (Mule-Arch-201) Exam Topics, as suggested by Salesforce :

  • Module 1: Explaining Application Network Basics: This topic includes subtopics related to identifying and differentiating between technologies for API-led connectivity, describing the role and characteristics of web APIs, assigning APIs to tiers, and understanding Anypoint Platform components.
  • Module 2: Establishing Organizational and Platform Foundations: Advising on a Center for Enablement (C4E) and identifying KPIs, describing MuleSoft Catalyst’s structure, comparing Identity and Client Management options, and identifying data residency types are essential subtopics.
  • Module 3: Designing and Sharing APIs: Identifying dependencies between API components, creating and publishing reusable API assets, mapping API data models between Bounded Contexts, and recognizing idempotent HTTP methods.
  • Module 4: Designing APIs Using System, Process, and Experience Layers: Identifying suitable APIs for business processes, assigning them according to functional focus, and recommending data model approaches are its subtopics.
  • Module 5: Governing Web APIs on Anypoint Platform: This topic includes subtopics related to managing API instances and environments, selecting API policies, enforcing API policies, securing APIs, and understanding OAuth 2.0 relationships.
  • Module 6: Architecting and Deploying API Implementations: It covers important aspects like using auto-discovery, identifying VPC requirements, comparing hosting options, and understanding testing methods. The topic also involves automated building, testing, and deploying in a DevOps setting.
  • Module 7: Deploying API Implementations to CloudHub: Understanding Object Store usage, selecting worker sizes, predicting app reliability and performance, and comparing load balancers. Avoiding single points of failure in deployments is also its sub-topic.
  • Module 8: Meeting API Quality Goals: This topic focuses on designing resilience strategies, selecting appropriate caching and OS usage scenarios, and describing horizontal scaling benefits.
  • Module 9: Monitoring and Analyzing Application Networks: It discusses Anypoint Platform components for data generation, collected metrics, and key alerts. This topic also includes specifying alerts to define Mule applications.

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Q1. An existing Quoting API is defined in RAML and used by REST clients for interacting with the quoting engine. Currently there is a resource defined in the RAML that allows the creation of quotes; however, a new requirement was just received to allow for the updating of existing quotes. Which two actions need to be taken to facilitate this change so it can be processed?

A.Update the API implementation to accommodate the new update request

B. Remove the old client applications and create new client applications to account for the changes

C. Update the RAML with new method details for the update request

D. Deprecate existing versions of the API in Exchange

E. Add a new API policy to API Manager to allow access to the updated endpoint

Correct Answer: A, C

Q2. An API has been updated in Anypoint Exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the API's public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?

A.The update should be identified as a project risk and full regression testing of the functionality that uses this API should be run

B. The API producer should be contacted to understand the change to existing functionality

C. The API producer should be requested to run the old version in parallel with the new one

D. The API client code ONLY needs to be changed if it needs to take advantage of new features

Correct Answer: D

Q3. True or False. We should always make sure that the APIs being designed and developed are self-servable even if it needs more man-day effort and resources.

A.FALSE

B. TRUE

Correct Answer: B

Q4. 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 size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore

B. Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%

C. Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers

D. Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%

Correct Answer: D

$ 39

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