An API implementation is being designed that must invoke an Order API which is known to repeatedly experience downtime. For this reason a fallback API is to be called when the Order API is unavailable. What approach to designing invocation of the fallback API provides the best resilience?
Answer(s): A
* Resilience testing is a type of software testing that observes how applications act under stress. It's meant to ensure the product's ability to perform in chaotic conditions without a loss of core functions or data; it ensures a quick recovery after unforeseen, uncontrollable events.* In case an API invocation fails -even after a certain number of retries -it might be adequate toinvoke a different API as a fallback. A fallback API, by definition, will never be ideal for the purpose of the API client, otherwise it would be the primary API.* Here are some examples for fallback APIs:An old, deprecated version of the same API.An alternative endpoint of the same API and version (e.g. API in another CloudHub region).An API doing more than required, and therefore not as performant as the primary API.An API doing less than required and therefore forcing the API Client to offer a degraded service, which is still better than no service at all.* API clients implemented as Mule applications offer the `Until Successful Scope and Exception' strategies at their disposal, which together allow configuring fallback actions such as a fallback API invocation.* All HTTP response status codes within the 3xx category are considered redirection messages. These codes indicate to the user agent (i.e. your web browser) that an additional action is required in order to complete the request and access the desired resource.Hence correct answer is Redirect client requests through an HTTP 303 temporary redirect status code to the fallback API whenever the Order API is unavailable.
How are the API implementation , API client, and API consumer combined to invoke and process an API?
Answer(s): C
The API consumer creates an API client which sends API invocations to an API such that they areprocessed by an API implementation.This is based on below definitions API client:· An application component · that accesses a service · by invoking an API of that service by definition of the term API over HTTP API consumer· A business role, which is often assigned to an individual · that develops API clients, i.e., performs the activities necessary for enabling an API client to invoke APIs API implementation· An application component · that implements the functionality
What Mule application can have API policies applied by Anypoint Platform to the endpoint exposed by that Mule application?
* HTTP/1.1 keeps all requests and responses in plain text format.* HTTP/2 uses the binary framing layer to encapsulate all messages in binary format, while still maintaining HTTP semantics, such as verbs, methods, and headers. It came into use in 2015, and offers several methods to decrease latency, especially when dealing with mobile platforms and server-intensive graphics and videos* Currently, Mule application can have API policies only for Mule application that accepts requests over HTTP/1x
The implementation of a Process API must change. What is a valid approach that minimizes the impact of this change on API clients?
* Option B shouldn't be used unless extremely needed, if RAML is changed, client needs to accommodate changes. Question is about minimizing impact on Client. So this is not a valid choice.* Option C isn't valid as Business can't stop for consumers acknowledgment.* Option D again needs Client to accommodate changes and isn't viable option.* Best choice is A where RAML definition isn't changed and underlined functionality is changed without any dependency on client and without impacting client.
Organization wants to achieve high availability goal for Mule applications in customer hosted runtime plane. Due to the complexity involved, data cannot be shared among of different instances of same Mule application. What option best suits to this requirement considering high availability is very much critical to the organization?
Answer(s): B
High availability is about up-time of your application A) High availability can be achieved only in CloudHub isn't correct statement. It can be achieved in customer hosted runtime planes as wellB) An object store is a facility for storing objects in or across Mule applications. Mule runtime engine (Mule) uses object stores to persist data for eventual retrieval. It can be used for disaster recovery but not for High Availability. Using object store can't guarantee that all instances won't go down at once. So not an appropriate choice.
https://docs.mulesoft.com/mule-runtime/4.3/mule-object-storesC) High availability can be achieved by below two models for on-premise MuleSoft implementations.1) Mule Clustering Where multiple Mule servers are available within the same cluster environment and the routing of requests will be done by the load balancer. A cluster is a set of up to eight servers that act as a single deployment target and high-availability processing unit. Application instances in a cluster are aware of each other, share common information, and synchronize statuses. If one server fails, another server takes over processing applications.A cluster can run multiple applications. ( refer left half of the diagram)In given scenario, it's mentioned that 'data cannot be shared among of different instances'. So this is not a correct choice.https://docs.mulesoft.com/runtime-manager/cluster-about2) Load balanced standalone Mule instances The high availability can be achieved even without cluster, with the usage of third party load balancer pointing requests to different Mule servers. This approach does not share or synchronize data between Mule runtimes. Also high availability achieved as load balanced algorithms can be implemented using external load balancer. ( refer right half of the diagram)
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