EXAM MULESOFT-PLATFORM-ARCHITECT-I SIMULATOR FEE & VALID MULESOFT-PLATFORM-ARCHITECT-I STUDY GUIDE

Exam MuleSoft-Platform-Architect-I Simulator Fee & Valid MuleSoft-Platform-Architect-I Study Guide

Exam MuleSoft-Platform-Architect-I Simulator Fee & Valid MuleSoft-Platform-Architect-I Study Guide

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Salesforce MuleSoft-Platform-Architect-I Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 sub-topics.
Topic 3
  • Meeting API Quality Goals: This topic focuses on designing resilience strategies, selecting appropriate caching and OS usage scenarios, and describing horizontal scaling benefits.
Topic 4
  • Explaining Application Network Basics: This topic includes sub-topics 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.
Topic 5
  • 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.
Topic 6
  • 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.
Topic 7
  • Governing Web APIs on Anypoint Platform: This topic includes sub-topics related to managing API instances and environments, selecting API policies, enforcing API policies, securing APIs, and understanding OAuth 2.0 relationships.

Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q146-Q151):

NEW QUESTION # 146
An organization is deploying their new implementation of the OrderStatus System API to multiple workers in CloudHub. This API fronts the organization's on-premises Order Management System, which is accessed by the API implementation over an IPsec tunnel.
What type of error typically does NOT result in a service outage of the OrderStatus System API?

  • A. The AWS region goes offline with a major network failure to the relevant AWS data centers
  • B. The Order Management System is Inaccessible due to a network outage in the organization's on-premises data center
  • C. A CloudHub worker fails with an out-of-memory exception
  • D. API Manager has an extended outage during the initial deployment of the API implementation

Answer: C

Explanation:
Correct Answer : A CloudHub worker fails with an out-of-memory exception.
*****************************************
>> An AWS Region itself going down will definitely result in an outage as it does not matter how many workers are assigned to the Mule App as all of those in that region will go down. This is a complete downtime and outage.
>> Extended outage of API manager during initial deployment of API implementation will of course cause issues in proper application startup itself as the API Autodiscovery might fail or API policy templates and polices may not be downloaded to embed at the time of applicaiton startup etc... there are many reasons that could cause issues.
>> A network outage onpremises would of course cause the Order Management System not accessible and it does not matter how many workers are assigned to the app they all will fail and cause outage for sure.
The only option that does NOT result in a service outage is if a cloudhub worker fails with an out-of-memory exception. Even if a worker fails and goes down, there are still other workers to handle the requests and keep the API UP and Running. So, this is the right answer.


NEW QUESTION # 147
An API experiences a high rate of client requests (TPS) vwth small message paytoads. How can usage limits be imposed on the API based on the type of client application?

  • A. Use a spike control policy that limits the number of requests for each client application type
  • B. Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type
  • C. Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type
  • D. Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type

Answer: B

Explanation:
Correct Answer : Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type.
*****************************************
>> SLA tiers will come into play whenever any limits to be imposed on APIs based on client type


NEW QUESTION # 148
A Mule application exposes an HTTPS endpoint and is deployed to three CloudHub workers that do not use static IP addresses. The Mule application expects a high volume of client requests in short time periods. What is the most cost-effective infrastructure component that should be used to serve the high volume of client requests?

  • A. An API proxy
  • B. The CloudHub shared load balancer
  • C. A customer-hosted load balancer
  • D. Runtime Manager autoscaling

Answer: B

Explanation:
Correct Answer : The CloudHub shared load balancer
*****************************************
The scenario in this question can be split as below:
>> There are 3 CloudHub workers (So, there are already good number of workers to handle high volume of requests)
>> The workers are not using static IP addresses (So, one CANNOT use customer load-balancing solutions without static IPs)
>> Looking for most cost-effective component to load balance the client requests among the workers.
Based on the above details given in the scenario:
>> Runtime autoscaling is NOT at all cost-effective as it incurs extra cost. Most over, there are already 3 workers running which is a good number.
>> We cannot go for a customer-hosted load balancer as it is also NOT most cost-effective (needs custom load balancer to maintain and licensing) and same time the Mule App is not having Static IP Addresses which limits from going with custom load balancing.
>> An API Proxy is irrelevant there as it has no role to play w.r.t handling high volumes or load balancing.
So, the only right option to go with and fits the purpose of scenario being most cost-effective is - using a CloudHub Shared Load Balancer.


NEW QUESTION # 149
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 for the Anypoint Platform account owning the API in the STAGING environment
  • C. The client ID and secret for the Anypoint Platform account's STAGING environment
  • D. The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment

Answer: D

Explanation:
Correct Answer : 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.
Reference:
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 # 150
An API implementation is updated. When must the RAML definition of the API also be updated?

  • A. When the API implementation changes from interacting with a legacy backend system deployed on-premises to a modern, cloud-based (SaaS) system
  • B. When the API implementation changes the structure of the request or response messages
  • C. When the API implementation is optimized to improve its average response time
  • D. When the API implementation is migrated from an older to a newer version of the Mule runtime

Answer: B

Explanation:
Correct Answer : When the API implementation changes the structure of the request or response messages
*****************************************
>> RAML definition usually needs to be touched only when there are changes in the request/response schemas or in any traits on API.
>> It need not be modified for any internal changes in API implementation like performance tuning, backend system migrations etc..


NEW QUESTION # 151
......

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