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Title: Valid MuleSoft-Platform-Architect-I Exam Dumps Ensure you a HIGH SCORE (2024) [Q27-Q48]

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 Valid MuleSoft-Platform-Architect-I Exam Dumps Ensure you a HIGH SCORE (2024)
Pass MuleSoft-Platform-Architect-I Exam with Latest Questions

Salesforce MuleSoft-Platform-Architect-I Exam Syllabus Topics:
TopicDetailsTopic 1Explaining 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 2Designing 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 3Deploying 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.Topic 4Meeting API Quality Goals: This topic focuses on designing resilience strategies, selecting appropriate caching and OS usage scenarios, and describing horizontal scaling benefits.Topic 5Establishing 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 sub-topics.

 


QUESTION 27An 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 CloudHub worker fails with an out-of-memory exception
 API Manager has an extended outage during the initial deployment of the API implementation
 The AWS region goes offline with a major network failure to the relevant AWS data centers
 The Order Management System is Inaccessible due to a network outage in the organization’s on-premises data center
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.QUESTION 28A 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 customer-hosted load balancer
 The CloudHub shared load balancer
 An API proxy
 Runtime Manager autoscaling
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.QUESTION 29A company has started to create an application network and is now planning to implement a Center for Enablement (C4E) organizational model. What key factor would lead the company to decide upon a federated rather than a centralized C4E?
 When there are a large number of existing common assets shared by development teams
 When various teams responsible for creating APIs are new to integration and hence need extensive training
 When development is already organized into several independent initiatives or groups
 When the majority of the applications in the application network are cloud based
Correct Answer : When development is already organized into several independent initiatives or groups*****************************************>> It would require lot of process effort in an organization to have a single C4E team coordinating with multiple already organized development teams which are into several independent initiatives. A single C4E works well with different teams having at least a common initiative. So, in this scenario, federated C4E works well instead of centralized C4E.QUESTION 30Refer to the exhibit.What is a valid API in the sense of API-led connectivity and application networks?A) Java RMI over TCPB) Java RMI over TCPC) CORBA over HOPD) XML over UDP
 Option A
 Option B
 Option C
 Option D
Correct Answer : XML over HTTP*****************************************>> API-led connectivity and Application Networks urge to have the APIs on HTTP based protocols for building most effective APIs and networks on top of them.>> The HTTP based APIs allow the platform to apply various varities of policies to address many NFRs>> The HTTP based APIs also allow to implement many standard and effective implementation patterns that adhere to HTTP based w3c rules.Bottom of FormTop of FormQUESTION 31What is true about the technology architecture of Anypoint VPCs?
 The private IP address range of an Anypoint VPC is automatically chosen by CloudHub
 Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network
 Each CloudHub environment requires a separate Anypoint VPC
 VPC peering can be used to link the underlying AWS VPC to an on-premises (non AWS) private network
Correct Answer : Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network*****************************************>> The private IP address range of an Anypoint VPC is NOT automatically chosen by CloudHub. It is chosen by us at the time of creating VPC using thr CIDR blocks.CIDR Block: The size of the Anypoint VPC in Classless Inter-Domain Routing (CIDR) notation.For example, if you set it to 10.111.0.0/24, the Anypoint VPC is granted 256 IP addresses from 10.111.0.0 to 10.111.0.255.Ideally, the CIDR Blocks you choose for the Anypoint VPC come from a private IP space, and should not overlap with any other Anypoint VPC’s CIDR Blocks, or any CIDR Blocks in use in your corporate network.that each CloudHub environment requires a separate Anypoint VPC. Once an Anypoint VPC is created, we can choose a same VPC by multiple environments. However, it is generally a best and recommended practice to always have seperate Anypoint VPCs for Non-Prod and Prod environments.>> We use Anypoint VPN to link the underlying AWS VPC to an on-premises (non AWS) private network. NOT VPC Peering.Reference:Only true statement in the given choices is that the traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network.https://docs.mulesoft.com/runtime-manager/vpc-connectivity-methods-conceptQUESTION 32An 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?
 When there are three CloudHub deployments of the API implementation to three separate CloudHub regions that must share the cache state
 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
 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
 When there is one CloudHub deployment of the API implementation to three CloudHub workers that must share the cache state
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 connectorConsidering 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.QUESTION 33An 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?
 Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type
 Use a spike control policy that limits the number of requests for each client application type
 Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type
 Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type
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 typeQUESTION 34A set of tests must be performed prior to deploying API implementations to a staging environment. Due to data security and access restrictions, untested APIs cannot be granted access to the backend systems, so instead mocked data must be used for these tests. The amount of available mocked data and its contents is sufficient to entirely test the API implementations with no active connections to the backend systems. What type of tests should be used to incorporate this mocked data?
 Integration tests
 Performance tests
 Functional tests (Blackbox)
 Unit tests (Whitebox)
Correct Answer : Unit tests (Whitebox)*****************************************Reference:As per general IT testing practice and MuleSoft recommended practice, Integration and Performance tests should be done on full end to end setup for right evaluation. Which means all end systems should be connected while doing the tests. So, these options are OUT and we are left with Unit Tests and Functional Tests.As per attached reference documentation from MuleSoft:Unit Tests – are limited to the code that can be realistically exercised without the need to run it inside Mule itself. So good candidates are Small pieces of modular code, Sub Flows, Custom transformers, Custom components, Custom expression evaluators etc.Functional Tests – are those that most extensively exercise your application configuration. In these tests, you have the freedom and tools for simulating happy and unhappy paths. You also have the possibility to create stubs for target services and make them success or fail to easily simulate happy and unhappy paths respectively.As the scenario in the question demands for API implementation to be tested before deployment to Staging and also clearly indicates that there is enough/ sufficient amount of mock data to test the various components of API implementations with no active connections to the backend systems, Unit Tests are the one to be used to incorporate this mocked data.QUESTION 35A REST API is being designed to implement a Mule application.What standard interface definition language can be used to define REST APIs?
 Web Service Definition Language(WSDL)
 OpenAPI Specification (OAS)
 YAML
 AsyncAPI Specification
QUESTION 36Question 10: SkippedAn API implementation returns three X-RateLimit-* HTTP response headers to a requesting API client. What type of information do these response headers indicate to the API client?
 The error codes that result from throttling
 A correlation ID that should be sent in the next request
 The HTTP response size
 The remaining capacity allowed by the API implementation
Correct Answer : The remaining capacity allowed by the API implementation.*****************************************>> Reference: https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-headersQUESTION 37In an organization, the InfoSec team is investigating Anypoint Platform related data traffic.From where does most of the data available to Anypoint Platform for monitoring and alerting originate?
 From the Mule runtime or the API implementation, depending on the deployment model
 From various components of Anypoint Platform, such as the Shared Load Balancer, VPC, and Mule runtimes
 From the Mule runtime or the API Manager, depending on the type of data
 From the Mule runtime irrespective of the deployment model
Correct Answer : From the Mule runtime irrespective of the deployment model*****************************************>> Monitoring and Alerting metrics are always originated from Mule Runtimes irrespective of the deployment model.>> It may seems that some metrics (Runtime Manager) are originated from Mule Runtime and some are (API Invocations/ API Analytics) from API Manager. However, this is realistically NOT TRUE. The reason is, API manager is just a management tool for API instances but all policies upon applying on APIs eventually gets executed on Mule Runtimes only (Either Embedded or API Proxy).>> Similarly all API Implementations also run on Mule Runtimes.So, most of the day required for monitoring and alerts are originated fron Mule Runtimes only irrespective of whether the deployment model is MuleSoft-hosted or Customer-hosted or Hybrid.QUESTION 38An API implementation is deployed on a single worker on CloudHub and invoked by external API clients (outside of CloudHub). How can an alert be set up that is guaranteed to trigger AS SOON AS that API implementation stops responding to API invocations?
 Implement a heartbeat/health check within the API and invoke it from outside the Anypoint Platform and alert when the heartbeat does not respond
 Configure a “worker not responding” alert in Anypoint Runtime Manager
 Handle API invocation exceptions within the calling API client and raise an alert from that API client when the API Is unavailable
 Create an alert for when the API receives no requests within a specified time period
Correct Answer : Configure a “Worker not responding” alert in Anypoint Runtime Manager.*****************************************>> All the options eventually helps to generate the alert required when the application stops responding.>> However, handling exceptions within calling API and then raising alert from API client is inappropriate and silly. There could be many API clients invoking the API implementation and it is not ideal to have this setup consistently in all of them. Not a realistic way to do.>> Implementing a health check/ heartbeat with in the API and calling from outside to detmine the health sounds OK but needs extra setup for it and same time there are very good chances of generating false alarms when there are any intermittent network issues between external tool calling the health check API on API implementation. The API implementation itself may not have any issues but due to some other factors some false alarms may go out.>> Creating an alert in API Manager when the API receives no requests within a specified time period would actually generate realistic alerts but even here some false alarms may go out when there are genuinely no requests from API clients.The best and right way to achieve this requirement is to setup an alert on Runtime Manager with a condition “Worker not responding”. This would generate an alert AS SOON AS the workers become unresponsive.Bottom of FormTop of FormQUESTION 39Refer to the exhibit.What is the best way to decompose one end-to-end business process into a collaboration of Experience, Process, and System APIs?A) Handle customizations for the end-user application at the Process API level rather than the Experience API levelB) Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIsC) Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs)D) Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs
 Option A
 Option B
 Option C
 Option D
Correct Answer : Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs.*****************************************>> All customizations for the end-user application should be handled in “Experience API” only. Not in Process API>> We should use tiered approach but NOT always by creating exactly one API for each of the 3 layers. Experience APIs might be one but Process APIs and System APIs are often more than one. System APIs for sure will be more than one all the time as they are the smallest modular APIs built in front of end systems.>> Process APIs can call System APIs as well as other Process APIs. There is no such anti-design pattern in API-Led connectivity saying Process APIs should not call other Process APIs.So, the right answer in the given set of options that makes sense as per API-Led connectivity principles is to allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs. This way, some future Process APIs can make use of that data from System APIs and we need NOT touch the System layer APIs again and again.QUESTION 40Traffic is routed through an API proxy to an API implementation. The API proxy is managed by API Manager and the API implementation is deployed to a CloudHub VPC using Runtime Manager. API policies have been applied to this API. In this deployment scenario, at what point are the API policies enforced on incoming API client requests?
 At the API proxy
 At the API implementation
 At both the API proxy and the API implementation
 At a MuleSoft-hosted load balancer
Correct Answer : At the API proxy*****************************************>> API Policies can be enforced at two places in Mule platform.>> One – As an Embedded Policy enforcement in the same Mule Runtime where API implementation is running.>> Two – On an API Proxy sitting in front of the Mule Runtime where API implementation is running.>> As the deployment scenario in the question has API Proxy involved, the policies will be enforced at the API Proxy.QUESTION 41What API policy would be LEAST LIKELY used when designing an Experience API that is intended to work with a consumer mobile phone or tablet application?
 OAuth 2.0 access token enforcement
 Client ID enforcement
 JSON threat protection
 IPwhitellst
Correct Answer : IP whitelist*****************************************>> OAuth 2.0 access token and Client ID enforcement policies are VERY common to apply on Experience APIs as API consumers need to register and access the APIs using one of these mechanisms>> JSON threat protection is also VERY common policy to apply on Experience APIs to prevent bad or suspicious payloads hitting the API implementations.>> IP whitelisting policy is usually very common in Process and System APIs to only whitelist the IP range inside the local VPC. But also applied occassionally on some experience APIs where the End User/ API Consumers are FIXED.>> When we know the API consumers upfront who are going to access certain Experience APIs, then we can request for static IPs from such consumers and whitelist them to prevent anyone else hitting the API.However, the experience API given in the question/ scenario is intended to work with a consumer mobile phone or tablet application. Which means, there is no way we can know all possible IPs that are to be whitelisted as mobile phones and tablets can so many in number and any device in the city/state/country/globe.So, It is very LEAST LIKELY to apply IP Whitelisting on such Experience APIs whose consumers are typically Mobile Phones or Tablets.QUESTION 42A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity.The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms.If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API’s desired SLA?
 Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries
 Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete
 No timeout is possible to meet the upstream API’s desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API
 Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds
Correct Answer : Set a timeout of 100ms; that leaves 400ms for other two downstream APIs to complete*****************************************Key details to take from the given scenario:>> Upstream API’s designed SLA is 500ms (median). Lets ignore maximum SLA response times.>> This API calls 3 downstream APIs sequentially and all these are of similar complexity.>> The first downstream API is offering median SLA of 100ms, 80th percentile: 500ms; 95th percentile: 1000ms.Based on the above details:>> We can rule out the option which is suggesting to set 50ms timeout. Because, if the median SLA itself being offered is 100ms then most of the calls are going to timeout and time gets wasted in retried them and eventually gets exhausted with all retries. Even if some retries gets successful, the remaining time wont leave enough room for 2nd and 3rd downstream APIs to respond within time.>> The option suggesting to NOT set a timeout as the invocation of this API is mandatory and so we must wait until it responds is silly. As not setting time out would go against the good implementation pattern and moreover if the first API is not responding within its offered median SLA 100ms then most probably it would either respond in 500ms (80th percentile) or 1000ms (95th percentile). In BOTH cases, getting a successful response from 1st downstream API does NO GOOD because already by this time the Upstream API SLA of 500 ms is breached. There is no time left to call 2nd and 3rd downstream APIs.>> It is NOT true that no timeout is possible to meet the upstream APIs desired SLA.As 1st downstream API is offering its median SLA of 100ms, it means MOST of the time we would get the responses within that time. So, setting a timeout of 100ms would be ideal for MOST calls as it leaves enough room of 400ms for remaining 2 downstream API calls.QUESTION 43Refer 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 entitiesB) Build distinct data models for each API to follow established micro-services and Agile API-centric practicesC) Build all API data models using XML schema to drive consistency and reuse across the organizationD) 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
 Option A
 Option B
 Option C
 Option D
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.QUESTION 44In which layer of API-led connectivity, does the business logic orchestration reside?
 System Layer
 Experience Layer
 Process Layer
Correct Answer : Process Layer*****************************************>> Experience layer is dedicated for enrichment of end user experience. This layer is to meet the needs of different API clients/ consumers.>> System layer is dedicated to APIs which are modular in nature and implement/ expose various individual functionalities of backend systems>> Process layer is the place where simple or complex business orchestration logic is written by invoking one or many System layer modular APIs So, Process Layer is the right answer.QUESTION 45Say, there is a legacy CRM system called CRM-Z which is offering below functions:1. Customer creation2. Amend details of an existing customer3. Retrieve details of a customer4. Suspend a customer
 Implement a system API named customerManagement which has all the functionalities wrapped in it as various operations/resources
 Implement different system APIs named createCustomer, amendCustomer, retrieveCustomer and suspendCustomer as they are modular and has seperation of concerns
 Implement different system APIs named createCustomerInCRMZ, amendCustomerInCRMZ, retrieveCustomerFromCRMZ and suspendCustomerInCRMZ as they are modular and has seperation of concerns
Correct Answer : Implement different system APIs named createCustomer, amendCustomer, retrieveCustomer and suspendCustomer as they are modular and has seperation of concerns*****************************************>> It is quite normal to have a single API and different Verb + Resource combinations. However, this fits well for an Experience API or a Process API but not a best architecture style for System APIs. So, option with just one customerManagement API is not the best choice here.>> The option with APIs in createCustomerInCRMZ format is next close choice w.r.t modularization and less maintenance but the naming of APIs is directly coupled with the legacy system. A better foreseen approach would be to name your APIs by abstracting the backend system names as it allows seamless replacement/migration of any backend system anytime. So, this is not the correct choice too.>> createCustomer, amendCustomer, retrieveCustomer and suspendCustomer is the right approach and is the best fit compared to other options as they are both modular and same time got the names decoupled from backend system and it has covered all requirements a System API needs.QUESTION 46An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).What best describes each modern API in relation to this new IT operating model?
 Each modern API has its own software development lifecycle, which reduces the need for documentation and automation
 Each modem API must be treated like a product and designed for a particular target audience (for instance, mobile app developers)
 Each modern API must be easy to consume, so should avoid complex authentication mechanisms such as SAML or JWT D
 Each modern API must be REST and HTTP based
Correct Answers:1. Each modern API must be treated like a product and designed for a particular target audience (for instance mobile app developers)*****************************************Bottom of FormTop of FormQUESTION 47Which layer in the API-led connectivity focuses on unlocking key systems, legacy systems, data sources etc and exposes the functionality?
 Experience Layer
 Process Layer
 System Layer
Correct Answer : System LayerThe APIs used in an API-led approach to connectivity fall into three categories:System APIs – these usually access the core systems of record and provide a means of insulating the user from the complexity or any changes to the underlying systems. Once built, many users, can access data without any need to learn the underlying systems and can reuse these APIs in multiple projects.Process APIs – These APIs interact with and shape data within a single system or across systems (breaking down data silos) and are created here without a dependence on the source systems from which that data originates, as well as the target channels through which that data is delivered.Experience APIs – Experience APIs are the means by which data can be reconfigured so that it is most easily consumed by its intended audience, all from a common data source, rather than setting up separate point-to-point integrations for each channel. An Experience API is usually created with API-first design principles where the API is designed for the specific user experience in mind.QUESTION 48The implementation of a Process API must change.What is a valid approach that minimizes the impact of this change on API clients?
 Update the RAML definition of the current Process API and notify API client developers by sending them links to the updated RAML definition
 Postpone changes until API consumers acknowledge they are ready to migrate to a new Process API or API version
 Implement required changes to the Process API implementation so that whenever possible, the Process API’s RAML definition remains unchanged
 Implement the Process API changes in a new API implementation, and have the old API implementation return an HTTP status code 301 – Moved Permanently to inform API clients they should be calling the new API implementation
Correct Answer : Implement required changes to the Process API implementation so that, whenever possible, the Process API’s RAML definition remains unchanged.*****************************************Key requirement in the question is:>> Approach that minimizes the impact of this change on API clientsBased on above:>> Updating the RAML definition would possibly impact the API clients if the changes require any thing mandatory from client side. So, one should try to avoid doing that until really necessary.>> Implementing the changes as a completely different API and then redirectly the clients with 3xx status code is really upsetting design and heavily impacts the API clients.>> Organisations and IT cannot simply postpone the changes required until all API consumers acknowledge they are ready to migrate to a new Process API or API version. This is unrealistic and not possible.The best way to handle the changes always is to implement required changes to the API implementations so that, whenever possible, the API’s RAML definition remains unchanged. Loading …






	
	

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