MCIA-Level-1 Exam Questions Tutorials

Page: 2 / 8

Question 8

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?

Options:

The cluster can be configured

Use third party product to implement load balancer

High availability can be achieved only in CloudHub

Use persistent object store

Answer:

Explanation:

Explanation

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 well

B) 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.

Reference: [Reference: https://docs.mulesoft.com/mule-runtime/4.3/mule-object-stores, C) 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., Reference: https://docs.mulesoft.com/runtime-manager/cluster-about, 2) 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), Graphical user interface, diagram, application Description automatically generated, ]

Question 9

What requires configuration of both a key store and a trust store for an HTTP Listener?

Options:

Support for TLS mutual (two-way) authentication with HTTP clients

Encryption of requests to both subdomains and API resource endpoints fhttPs://aDi.customer.com/ and https://customer.com/api)

Encryption of both HTTP request and HTTP response bodies for all HTTP clients

Encryption of both HTTP request header and HTTP request body for all HTTP clients

Question 10

A corporation has deployed multiple mule applications implementing various public and private API's to different cloudhub workers. These API's arc Critical applications that must be highly available and in line with the reliability SLA as defined by stakeholders.

How can API availability (liveliness or readiness) be monitored so that Ops team receives outage notifications?

Options:

Enable monitoring of individual applications from Anypoint monitoring

Configure alerts with failure conditions in runtime manager

Configure alerts failure conditions in API manager

Use any point functional monitoring test API's functional behavior

Question 11

A mule application is being designed to perform product orchestration. The Mule application needs to join together the responses from an inventory API and a Product Sales History API with the least latency.

To minimize the overall latency. What is the most idiomatic (used for its intended purpose) design to call each API request in the Mule application?