Mulesoft Mulesoft Certifications MCIA-LEVEL-1-MAINTENANCE Questions & Answers

• Question 51:

  An organization uses Mule runtimes which are managed by Anypoint Platform - Private Cloud Edition. What MuleSoft component is responsible for feeding analytics data to non- MuleSoft analytics platforms?

  A. Anypoint Exchange

  B. The Mule runtimes

  C. Anypoint API Manager

  D. Anypoint Runtime Manager

  Correct Answer: D

  Correct answer is Anypoint Runtime Manager MuleSoft Anypoint Runtime Manager (ARM) provides connectivity to Mule Runtime engines deployed across your organization to provide centralized management, monitoring and analytics reporting. However, most enterprise customers find it necessary for these on- premises runtimes to integrate with their existing non MuleSoft analytics / monitoring systems such as Splunk and ELK to support a single pane of glass view across the infrastructure.

  * You can configure the Runtime Manager agent to export data to external analytics tools. Using either the Runtime Manager cloud console or Anypoint Platform Private Cloud Edition, you can:

  --> Send Mule event notifications, including flow executions and exceptions, to Splunk or ELK.

  --> Send API Analytics to Splunk or ELK. Sending data to third-party tools is not supported for applications deployed on CloudHub.

  You can use the CloudHub custom log appender to integrate with your logging system. Reference: https://docs.mulesoft.com/runtime-manager/ https://docs.mulesoft.com/release- notes/runtime-manager-agent/runtime-manager-agentrelease-notes

  

  Additional Info:

  It can be achieved in 3 steps:

  1) register an agent to a runtime manager,

  2) configure a gateway to enable API analytics to be sent to non MuleSoft analytics platform (Splunk for ex.) ?as highlighted in the following diagram and

  3) setup dashboards.

  

• Question 52:

  A manufacturing company is planning to deploy Mule applications to its own Azure Kubernetes Service infrastructure.

  The organization wants to make the Mule applications more available and robust by deploying each Mule application to an isolated Mule runtime in a Docker container while managing all the Mule applications from the MuleSoft-hosted control plane.

  What is the most idiomatic (used for its intended purpose) choice of runtime plane to meet these organizational requirements?

  A. Anypoint Platform Private Cloud Edition

  B. Anypoint Runtime Fabric

  C. CloudHub

  D. Anypoint Service Mesh

  Correct Answer: B

  Reference: https://blogs.mulesoft.com/dev-guides/how-to-tutorials/anypoint-runtime-fabric/

• Question 53:

  An organization is designing Mule application which connects to a legacy backend. It has been reported that backend services are not highly available and experience downtime quite often. As an integration architect which of the below approach you would propose to achieve high reliability goals?

  A. Alerts can be configured in Mule runtime so that backend team can be communicated when services are down

  B. Until Successful scope can be implemented while calling backend API's

  C. On Error Continue scope to be used to call in case of error again

  D. Create a batch job with all requests being sent to backend using that job as per the availability of backend API's

  Correct Answer: B

  Correct answer is Untill Successful scope can be implemented while calling backend API's The Until Successful scope repeatedly triggers the scope's components (including flow references) until they all succeed or until a maximum number of retries is exceeded The scope provides option to control the max number of retries and the interval between retries The scope can execute any sequence of processors that may fail for whatever reason and may succeed upon retry

• Question 54:

  An API implementation is being developed to expose data from a production database via HTTP requests. The API implementation executes a database SELECT statement that is dynamically created based upon data received from each incoming HTTP request. The developers are planning to use various types of testing to make sure the Mule application works as expected, can handle specific workloads, and behaves correctly from an API consumer perspective. What type of testing would typically mock the results from each SELECT statement rather than actually execute it in the production database?

  A. Unit testing (white box)

  B. Integration testing

  C. Functional testing (black box)

  D. Performance testing

  Correct Answer: A

  In Unit testing instead of using actual backends, stubs are used for the backend services. This ensures that developers are not blocked and have no dependency on other systems. In Unit testing instead of using actual backends, stubs are used for the backend services. This ensures that developers are not blocked and have no dependency on other systems. Below are the typical characteristics of unit testing. -- Unit tests do not require deployment into any special environment, such as a staging environment -- Unit tests san be run from within an embedded Mule runtime -- Unit tests can/should be implemented using MUnit -- For read-only interactions to any dependencies (such as other APIs): allowed to invoke production endpoints -- For write interactions: developers must implement mocks using MUnit -- Require knowledge of the implementation details of the API implementation under test

• Question 55:

  An organization has strict unit test requirement that mandate every mule application must have an MUnit test suit with a test case defined for each flow and a minimum test coverage of 80%.

  A developer is building Munit test suit for a newly developed mule application that sends API request to an external rest API.

  What is the effective approach for successfully executing the Munit tests of this new application while still achieving the required test coverage for the Munit tests?

  A. Invoke the external endpoint of the rest API from the mule floors

  B. Mark the rest API invocations in the Munits and then call the mocking service flow that simulates standard responses from the REST API

  C. Mock the rest API invocation in the Munits and return a mock response for those invocations

  D. Create a mocking service flow to simulate standard responses from the rest API and then configure the mule flows to call the marking service flow

  Correct Answer: C

• Question 56:

  An external REST client periodically sends an array of records in a single POST request to a Mule application API endpoint.

  The Mule application must validate each record of the request against a JSON schema before sending it to a downstream system in the same order that it was received in the array

  Record processing will take place inside a router or scope that calls a child flow. The child flow has its own error handling defined. Any validation or communication failures should not prevent further processing of the remaining records.

  To best address these requirements what is the most idiomatic(used for it intended purpose) router or scope to used in the parent flow, and what type of error handler should be used in the child flow?

  A. First Successful router in the parent flow On Error Continue error handler in the child flow

  B. For Each scope in the parent flow On Error Continue error handler in the child flow

  C. Parallel For Each scope in the parent flow On Error Propagate error handler in the child flow

  D. Until Successful router in the parent flow On Error Propagate error handler in the child flow

  Correct Answer: B

  Correct answer is For Each scope in the parent flow On Error Continue error handler in the child flow. You can extract below set of requirements from the question a) Records should be sent to downstream system in the same order that it was received in the array b) Any validation or communication failures should not prevent further processing of the remaining records First requirement can be met using For Each scope in the parent flow and second requirement can be met using On Error Continue scope in child flow so that error will be suppressed.

• Question 57:

  Cloud Hub is an example of which cloud computing service model?

  A. Platform as a Service (PaaS)

  B. Software as a Service (SaaS)

  C. Monitoring as a Service (MaaS)

  D. Infrastructure as a Service (laaS)

  Correct Answer: A

• Question 58:

  What aspects of a CI/CD pipeline for Mule applications can be automated using MuleSoft- provided Maven plugins?

  A. Compile, package, unit test, validate unit test coverage, deploy

  B. Compile, package, unit test, deploy, integration test (Incorrect)

  C. Compile, package, unit test, deploy, create associated API instances in API Manager

  D. Import from API designer, compile, package, unit test, deploy, publish to Anypoint Exchange

  Correct Answer: A

  Correct answer is "Compile, package, unit test, validate unit test coverage, deploy" : Anypoint Platform supports continuous integration and continuous delivery using industry standard tools Mule Maven Plugin The Mule Maven plugin can automate building, packaging and deployment of Mule applications from source projects Using the Mule Maven plugin, you can automate your Mule application deployment to CloudHub, to Anypoint Runtime Fabric, or on-premises, using any of the following deployment strategies CloudHub deployment Runtime Fabric deployment Runtime Manager REST API deployment Runtime Manager agent deployment MUnit Maven Plugin The MUnit Maven plugin can automate test execution, and ties in with the Mule Maven plugin. It provides a full suite of integration and unit test capabilities, and is fully integrated with Maven and Surefire for integration with your continuous deployment environment. Since MUnit 2.x, the coverage report goal is integrated with the maven reporting section. Coverage Reports are generated during Maven's site lifecycle, during the coverage-report goal. One of the features of MUnit Coverage is to fail the build if a certain coverage level is not reached. MUnit is not used for integration testing Also publishing to Anypoint Exchange or to create associated API instances in API Manager is not a part of CICD pipeline which can ne achieved using mulesoft provided maven plugin Architecture mentioned in the question can be diagrammatically put as below. Persistent Object Store is the correct answer .

  * Mule Object Stores: An object store is a facility for storing objects in or across Mule applications. Mule uses object stores to persist data for eventual retrieval. Mule provides two types of object stores: 1) In-memory store stores objects in local Mule runtime memory. Objects are lost on shutdown of the Mule runtime. So we cant use in memory store in our scenario as we want to share watermark within all cloudhub workers 2) Persistent store Mule persists data when an object store is explicitly configured to be persistent. Hence this watermark will be available even any of the worker goes down

  

  Diagram

• Question 59:

  A leading bank implementing new mule API.

  The purpose of API to fetch the customer account balances from the backend application and display them on the online platform the online banking platform. The online banking platform will send an array of accounts to Mule API get the account balances.

  As a part of the processing the Mule API needs to insert the data into the database for auditing purposes and this process should not have any performance related implications on the account balance retrieval flow How should this requirement be implemented to achieve better throughput?

  A. Implement the Async scope fetch the data from the backend application and to insert records in the Audit database

  B. Implement a for each scope to fetch the data from the back-end application and to insert records into the Audit database

  C. Implement a try-catch scope to fetch the data from the back-end application and use the Async scope to insert records into the Audit database

  D. Implement parallel for each scope to fetch the data from the backend application and use Async scope to insert the records into the Audit database

  Correct Answer: D

• Question 60:

  A Mule application name Pub uses a persistence object store. The Pub Mule application is deployed to Cloudhub and it configured to use Object Store v2.

  Another Mule application name sub is being developed to retrieve values from the Pub Mule application persistence object Store and will also be deployed to cloudhub.

  What is the most direct way for the Sub Mule application to retrieve values from the Pub Mule application persistence object store with the least latency?

  A. Use an object store connector configured to access the Pub Mule application persistence object store

  B. Use a VM connector configured to directly access the persistence queue of the Pub Mule application persistence object store.

  C. Use an Anypoint MQ connector configured to directly access the Pub Mule application persistence object store

  D. Use the Object store v2 REST API configured to access the Pub Mule application persistence object store.

  Correct Answer: D

  xplanation

  *

  The Object Store V2 API enables API access to Anypoint Platform Object Store v2.

  *

  You can configure a Mule app to use the Object Store REST API to store and retrieve values from an object store in another Mule app. However, Object Store v2 is not designed for app-to-app communication. To share data between two Mule4 apps, use a queue in Anypoint MQ.

  *

  The Object Store v2 APIs enable you to use REST to perform the following:

  - Retrieve a list of object stores and keys associated with an application.

  -Store and retrieve key-value pairs in an object store.

  -Delete key-value pairs from an object store.

  -Retrieve Object Store usage statistics for your organization.

  -Object Store provides these APIs: Object Store API Object Store Stats API Reference: https://docs.mulesoft.com/object-store/osv2-apis