An organization is designing an integration Mule application to process orders by submitting them to a back-end system for offline processing. Each order will be received by the Mule application through an HTTPS POST and must be acknowledged immediately. Once acknowledged, the order will be submitted to a back-end system. Orders that cannot be successfully submitted due to rejections from the back-end system will need to be processed manually (outside the back-end system).The Mule application will be deployed to a customer-hosted runtime and is able to use an existing ActiveMQ broker if needed. The ActiveMQ broker is located inside the organization’s firewall. The back-end system has a track record of unreliability due to both minor network connectivity issues and longer outages.What idiomatic (used for their intended purposes) combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the back-end system while supporting but minimizing manual order processing?

An Until Successful scope to call the back-end systemOne or more ActiveMQ long-retry queuesOne or more ActiveMQ dead-letter queues for manual processing

One or more On Error scopes to assist calling the back-end systemAn Until Successful scope containing VM components for long retriesA persistent dead-letter VM queue configured in CloudHub

One or more On Error scopes to assist calling the back-end systemOne or more ActiveMQ long-retry queuesA persistent dead-letter object store configured in the CloudHub Object Store service

A Batch Job scope to call the back-end systemAn Until Successful scope containing Object Store components for long retries A dead-letter object store configured in the Mule application

A Mule application uses APIkit for SOAP to implement a SOAP web service. The Mule application has been deployed to a CloudHub worker in a testing environment.The integration testing team wants to use a SOAP client to perform Integration testing. To carry out the integration tests, the integration team must obtain the interface definition for the SOAP web service.What is the most idiomatic (used for its intended purpose) way for the integration testing team to obtain the interface definition for the deployed SOAP web service in order to perform integration testing with the SOAP client?

Retrieve the XML file(s) from Runtime Manager

Retrieve the OpenAPI Specification file(s) from API Manager

Retrieve the WSDL file(s) from the deployed Mule application

Retrieve the RAML file(s) from the deployed Mule application

Retrieve the XML file(s) from Runtime Manager

In Anypoint Platform, a company wants to configure multiple identity providers (IdPs) for multiple lines of business (LOBs). Multiple business groups, teams, and environments have been defined for these LOBs.What Anypoint Platform feature can use multiple IdPs across the company’s business groups, teams, and environments?

MuleSoft-hosted (CloudHub) dedicated load balancers

Client (application) management

An external web UI application currently accepts occasional HTTP requests from client web browsersto change (insert, update, or delete) inventory pricing information in an inventory system's database.Each inventory pricing change must be transformed and then synchronized with multiple customer experience systems in near real-time (in under 10 seconds). New customer experience systems are expected to be added in the future.The database is used heavily and limits the number of SELECT queries that can be made to the database to 10 requests per hour per user.What is the most scalable, idiomatic (used for its intended purpose), decoupled. reusable, and maintainable integration mechanism available to synchronize each inventory pricing change with the various customer experience systems in near real-time?

Add a trigger to the inventory-pricing database table so that for each change to the inventory pricing database, a stored procedure is called that makes a REST call to a Mule application Write the Mule application to publish each Mule event as a message to an Anypoint MQ exchange Write other Mule applications to subscribe to the Anypoint MQ exchange, transform each received message, and then update the Mule application's corresponding customer experience system(s)

Write a Mule application with a Database On Table Row event source configured for the inventory pricing database, with the watermark attribute set to an appropriate database column In the same now, use a Scatter-Gather to call each customer experience system's REST API with transformed inventory-pricing records

Add a trigger to the inventory-pricing database table so that for each change to the inventory pricing database, a stored procedure is called that makes a REST call to a Mule application Write the Mule application to publish each Mule event as a message to an Anypoint MQ exchange Write other Mule applications to subscribe to the Anypoint MQ exchange, transform each received message, and then update the Mule application's corresponding customer experience system(s)

Replace the external web UI application with a Mule application to accept HTTP requests fromclient web browsersIn the same Mule application, use a Batch Job scope to test if the database request will succeed,aggregate pricing changes within a short time window, and then update both the inventory pricingdatabase and each customer experience system using a Parallel For Each scope

Write a Mule application with a Database On Table Row event source configured for the inventory pricing database, with the ID attribute set to an appropriate database column In the same flow, use a Batch Job scope to publish transformed Inventory-pricing records to an Anypoint MQ queue Write other Mule applications to subscribe to the Anypoint MQ queue, transform each received message, and then update the Mule application's corresponding customer experience system(s)

An organization has an HTTPS-enabled Mule application named Orders API that receives requestsfrom another Mule application named Process Orders.The communication between these two Mule applications must be secured by TLS mutual authentication (two-way TLS).At a minimum, what must be stored in each truststore and keystore of these two Mule applications to properly support two-way TLS between the two Mule applications while properly protecting each Mule application's keys?

Orders API truststore: The Process Orders public keyOrders API keystore: The Orders API private key and public keyProcess Orders truststore: The Orders API public keyProcess Orders keystore: The Process Orders private key and public key

Orders API truststore: The Orders API public keyProcess Orders keystore: The Process Orders private key and public key

Orders API truststore: The Orders API private key and public keyProcess Orders keystore: The Process Orders private key public key

Orders API truststore: The Process Orders public keyOrders API keystore: The Orders API private key and public keyProcess Orders truststore: The Orders API public keyProcess Orders keystore: The Process Orders private key and public key

Orders API truststore: The Process Orders public keyOrders API keystore: The Orders API private keyProcess Orders truststore: The Orders API public keyProcess Orders keystore: The Process Orders private key

A Mule application is built to support a local transaction for a series of operations on a single database. The Mule application has a Scatter-Gather that participates in the local transaction.What is the behavior of the Scatter-Gather when running within this local transaction?

Execution of each route within the Scatter-Gather occurs sequentially Any error that occurs inside the Scatter-Gather will result in a rollback of all the database operations

Execution of all routes within the Scatter-Gather occurs in parallel Any error that occurs inside the Scatter-Gather will result in a rollback of all the database operations

Execution of each route within the Scatter-Gather occurs sequentially Any error that occurs inside the Scatter-Gather will NOT result in a rollback of any of the database operations

Execution of each route within the Scatter-Gather occurs in parallel Any error that occurs inside the Scatter-Gather will NOT result in a rollback of any of the database operations

An organization is creating a Mule application that will be deployed to CloudHub. The Mule application has a property named dbPassword that stores a database user’s password.The organization's security standards indicate that the dbPassword property must be hidden from every Anypoint Platform user after the value is set in the Runtime Manager Properties tab.What configuration in the Mule application helps hide the dbPassword property value in Runtime Manager?

Use secure::dbPassword as the property placeholder name and store the property encrypted value in a secure properties placeholder file

Use secure::dbPassword as the property placeholder name and store the cleartext (unencrypted) value in a secure properties placeholder file

Use secure::dbPassword as the property placeholder name and store the property encrypted value in a secure properties placeholder file

Add the dbPassword property to the secureProperties section of the pom.xml file

Add the dbPassword property to the secureProperties section of the mule-artifact.json file

An organization is designing a Mule application to periodically poll an SFTP location for new files containing sales order records and then process those sales orders. Each sales order must be processed exactly once.To support this requirement, the Mule application must identify and filter duplicate sales orders on the basis of a unique ID contained in each sales order record and then only send the new sales orders to the downstream system.What is the most idiomatic (used for its intended purpose) Anypoint connector, validator, or scope that can be configured in the Mule application to filter duplicate sales orders on the basis of the unique ID field contained in each sales order record?

Configure an Idempotent Message Validator component to filter each record by the order ID

Configure a Cache scope to filter and store each record from the received file by the order ID

Configure a Database connector to filter and store each record by the order ID

Configure an Idempotent Message Validator component to filter each record by the order ID

Configure a watermark In an On New or Updated File event source to filter unique records by the order ID

An organization's security requirements mandate centralized control at all times over authentication and authorization of external applications when invoking web APIs managed on Anypoint Platform.What Anypoint Platform feature is most idiomatic (used for its intended purpose), straightforward, and maintainable to use to meet this requirement?

Identity management configured in access management

Client management configured in access management

Identity management configured in access management

Enterprise Security module coded in Mule applications

External access configured in API Manager

An organization has defined a common object model in Java to mediate the communication between different Mule applications in a consistent way. A Mule application is being built to use this common object model to process responses from a SOAP API and a REST API and then write the processed results to an order management system.The developers want Anypoint Studio to utilize these common objects to assist in creating mappings for various transformation steps in the Mule application.What is the most idiomatic (used for its intended purpose) and performant way to utilize these common objects to map between the inbound and outbound systems in the Mule application?

Use JAXB (XML) and Jackson (JSON) data bindings

Use the Transform Message component

A marketing organization is designing a Mule application to process campaign data. The Mule application will periodically check for a file in a SFTP location and process the records in the file. The size of the file can vary from 10MB to 5GB. Due to the limited availabiltty of vCores, the Mule application is deployed to a single CloudHub worker configured with vCore size 0.2.The application must transform and send different formats of this file to three different downstream SFTP locations.What is the most idiomatic (used for its intended purpose) and performant way to configure the SFTP operations or event sources to process the large files to support these deployment requirements?

Use an in-memory repeatable stream

Use a file-stored non-repeatable stream

Use an in-memory non-repeatable stream

Use a file-stored repeatable stream

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?

Anypoint Platform Private Cloud Edition

The AnyAirline organization's passenger reservations center is designing an integration solution that combines invocations of three different System APIs (bookFlight, bookHotel, and bookCar) in a business transaction. Each System API makes calls to a single database.The entire business transaction must be rolled back when at least one of the APIs fails.What is the most idiomatic (used for its intended purpose) way to integrate these APIs in near realtime that provides the best balance of consistency, performance, and reliability?

Implement local transactions in each API implementationCoordinate between the API implementations using a Saga patternApply various compensating actions depending on where a failure occurs

Implement eXtended Architecture (XA) transactions between the API implementations Coordinate between the API implementations using a Saga pattern Implement caching in each API implementation to improve performance

Implement local transactions within each API implementationConfigure each API implementation to also participate in the same eXtended Architecture (XA) transaction Implement caching in each API implementation to improve performance

Implement local transactions in each API implementationCoordinate between the API implementations using a Saga patternApply various compensating actions depending on where a failure occurs

Implement an eXtended Architecture (XA) transaction manager in a Mule application using a Saga pattern Connect each API implementation with the Mule application using XA transactions Apply various compensating actions depending on where a failure occurs

As a part of project requirement, client will send a stream of data to mule application. Payload size can vary between 10mb to 5GB. Mule application is required to transform the data and send across multiple sftp servers. Due to the cost cuttings in the organization, mule application can only be allocated one worker with size of 0.2 vCore.As an integration architect , which streaming strategy you would suggest to handle this scenario?

In-memory non repeatable stream

File based non-repeatable stream

Mule application muleA deployed in cloudhub uses Object Store v2 to share data across instances. As a part of new requirement , application muleB which is deployed in same region wants to access this Object Store.Which of the following option you would suggest which will have minimum latency in this scenario?

Both of the above option will have same latency

Object Store of one mule application cannot be accessed by other mule application.

As a part of project , existing java implementation is being migrated to Mulesoft. Business is very tight on the budget and wish to complete the project in most economical way possible.Canonical object model using java is already a part of existing implementation. Same object model is required by mule application for a business use case. What is the best way to achieve this?

Create similar model for Mule applications

Create a custom application to read Java code and make it available for Mule application

In one of the critical payment related mule application, transaction is being used . As an enhancement to implementation , scatter gather route is introduced which is also the part of transaction group. Scatter gather route has 4 routes.What will be the behavior of the Mule application in case of error occurs in 4th route of the scattergatherrouter and transaction needs to be rolled back?

Only errored route will be rolled back

Scatter Gather router cannot be part of transaction

An insurance company is implementing a MuleSoft API to get inventory details from the two vendors. Due to network issues, the invocations to vendor applications are getting timed-out intermittently. But the transactions are successful upon reprocessing What is the most performant way of implementing this requirement?

Implement a scatter-gather scope to invoke the two vendor applications on two different route Use the Until-Successful scope to implement the retry mechanism for timeout errors on each route

Implement a Choice scope to invoke the two vendor applications on two different route Use the try-catch scope to implement the retry mechanism for timeout errors on each route

Implement a For-Each scope to invoke the two vendor applicationsUse until successful scope to implement the retry mechanism for the timeout errors

Implement Round-Robin scope to invoke the two vendor applications on two different routes Use the Try-Catch scope to implement retry mechanism for timeout errors on each route

An airline is architecting an API connectivity project to integrate its flight data into an online aggregation website. The interface must allow for secure communication high-performance and asynchronous message exchange.What are suitable interface technologies for this integration assuming that Mulesoft fully supports these technologies and that Anypoint connectors exist for these interfaces?

AsyncAPI over HTTPSAMQP with RabbitMQ JSON/REST over HTTPS

XML over ActiveMQ XML over SFTP XML/REST over HTTPS

CSV over FTP YAM L over TLS JSON over HTTPS

SOAP over HTTPS HOP over TLS gRPC over HTTPS

An application deployed to a runtime fabric environment with two cluster replicas is designed to periodically trigger of flow for processing a high-volume set of records from the source system and synchronize with the SaaS system using the Batch job scope After processing 1000 records in a periodic synchronization of 1 lakh records, the replicas in which batch job instance was started went down due to unexpected failure in the runtime fabric environment What is the consequence of losing the replicas that run the Batch job instance?

The second replicas will take over processing the remaining99000 records

The remaining 99000 records will be lost and left and processed

The second replicas will take over processing the remaining99000 records

A new replacement replica will be available and will be process all 1,00,000 records from scratch leading to duplicate record processing

A new placement replica will be available and will take or processing the remaining 99,000 records

One of the backend systems involved by the API implementation enforces rate limits on the number of request a particle client can make.Both the back-end system and API implementation are deployed to several non-production environments including the staging environment and to a particular production environment. Rate limiting of the back-end system applies to all non-production environments.The production environment however does not have any rate limiting.What is the cost-effective approach to conduct performance test of the API implementation in the non-production staging environment?

Create a Mocking service that replicates the back-end system's production performance characteristics Then configure the API implementation to use the mocking service and conduct the performance test

Including logic within the API implementation that bypasses in locations of the back-end system in the staging environment and invoke a Mocking service that replicates typical back-end system responses Then conduct performance test using this API implementation

Use MUnit to simulate standard responses from the back-end system.Then conduct performance test to identify other bottlenecks in the system

Create a Mocking service that replicates the back-end system's production performance characteristics Then configure the API implementation to use the mocking service and conduct the performance test

Conduct scaled-down performance tests in the staging environment against rate-limiting back-end system. Then upscale performance results to full production scale

A system API EmployeeSAPI is used to fetch employee's data from an underlying SQL database.The architect must design a caching strategy to query the database only when there is an update to the employees stable or else return a cached response in order to minimize the number of redundant transactions being handled by the database.What must the architect do to achieve the caching objective?

Use an On Table Row on employees table and call invalidate cacheUse an object store caching strategy and expiration interval to empty

Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and expiration interval to empty

Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and set expiration interval to 1-hour

Use an on table rule on employees table call invalidate cache and said new employees data to cache Use an object store caching strategy and set expiration interval to 1-hour

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?

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

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

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

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

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

A Mule application is built to support a local transaction for a series of operations on a single database. The mule application has a Scatter-Gather scope that participates in the local transaction.What is the behavior of the Scatter-Gather when running within this local transaction?

Execution of all routes within Scatter-Gather occurs in parallel Any error that occurs inside Scatter- Gather will result in a roll back of all the database operations

Execution of all routes within Scatter-Gather occurs sequentially Any error that occurs inside Scatter-Gather will be handled by error handler and will not result in roll back

Execution of all routes within Scatter-Gather occurs sequentially Any error that occurs inside Scatter-Gather will result in a roll back of all the database operations

Execution of all routes within Scatter-Gather occurs in parallel Any error that occurs inside Scatter- Gather will be handled by error handler and will not result in roll back

How does timeout attribute help inform design decisions while using JMS connector listening for incoming messages in an extended architecture (XA) transaction?

The timeout defines the time that is allowed to pass without the transaction ending explicitly and after the timeout expires, the transaction rolls back

After the timeout is exceeded, stale JMS consumer threads are destroyed and new threads are created

The timeout specifies the time allowed to pass between receiving JMS messages on the same JMS connection and then after the timeout new JMS connection is established

The time allowed to pass between committing the transaction and the completion of the mule flow and then after the timeout flow processing triggers an error

The timeout defines the time that is allowed to pass without the transaction ending explicitly and after the timeout expires, the transaction rolls back

An auto mobile company want to share inventory updates with dealers Dl and D2 asynchronously and concurrently via queues Q1 and Q2. Dealer Dl must consume the message from the queue Q1 and dealer D2 to must consume a message from the queue Q2.Dealer D1 has implemented a retry mechanism to reprocess the transaction in case of any errors while processing the inventers updates. Dealer D2 has not implemented any retry mechanism.How should the dealers acknowledge the message to avoid message loss and minimize impact on the current implementation?

Dealer D1 can use AUTO acknowledgement and dealer D2 must use manual acknowledgement and acknowledge the message after successful processing

Dealer D1 must use auto acknowledgement and dealer D2 can use manual acknowledgement and acknowledge the message after successful processing

Dealer D1 can use auto acknowledgement and dealer D2 can use IMMEDIATE acknowledgement and acknowledge the message of successful processing

Dealer D1 and dealer D2 must use AUTO acknowledgement and acknowledge the message after successful processing

Dealer D1 can use AUTO acknowledgement and dealer D2 must use manual acknowledgement and acknowledge the message after successful processing

A company is using Mulesoft to develop API's and deploy them to Cloudhub and on premises targets.Recently it has decided to enable Runtime Fabric deployment option as well and infrastructure is set up for this option.What can be used to deploy Runtime Fabric?

Directly uploading ajar file from the Runtime manager

As an enterprise architect, what are the two reasons for which you would use a canonical data model in the new integration project using Mulesoft Anypoint platform ( choose two answers )

To have consistent data structure aligned in processes

To isolate areas within a bounded context

To have consistent data structure aligned in processes

To isolate areas within a bounded context

To incorporate industry standard data formats

There are multiple canonical definitions of each data type

Because the model isolates the back and systems and support mule applications from change

A company is planning to migrate its deployment environment from on-premises cluster to a Runtime Fabric (RTF) cluster. It also has a requirement to enable Mule applications deployed to a Mule runtime instance to store and share data across application replicas and restarts.How can these requirements be met?

Configure Persistent Gateway at the RTF

Anypoint object store V2 to share data between replicas in the RTF cluster

Install the object store pod on one of the cluster nodes

Configure Persistence Gateway in any of the servers using Mule Object Store

Configure Persistent Gateway at the RTF

An organization designing a hybrid, load balanced, single cluster production environment. Due to performance service level agreement goals, it is looking into running the Mule applications in an active-active multi node cluster configuration.What should be considered when running its Mule applications in this type of environment?

An external load balancer is required to distribute incoming requests throughout the cluster nodes

All event sources, regardless of time , can be configured as the target source by the primary node in the cluster

An external load balancer is required to distribute incoming requests throughout the cluster nodes

A Mule application deployed to multiple nodes runs in an isolation from the other nodes in the cluster

Although the cluster environment is fully installed configured and running, it will not process any requests until an outage condition is detected by the primary node in the cluster.

An organization has decided on a cloud migration strategy to minimize the organization's own IT resources. Currently the organization has all of its new applications running on its own premises and uses an on-premises load balancer that exposes all APIs under the base URL (https://api.rutujar.com).As part of migration strategy, the organization is planning to migrate all of its new applications and load balancer CloudHub.What is the most straightforward and cost-effective approach to Mule application deployment and load balancing that preserves the public URL's?

Deploy the Mule application to CloudhubUpdate a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server topoint to the A record of the Cloudhub dedicated load balancerApply mapping rules in DLB to map URLto their corresponding Mule applications

Deploy the Mule application to CloudhubCreate a CNAME record for base URL( httpsr://api.rutujar.com) in the Cloudhub shared load balancerthat points to the A record of theon-premises load balancerApply mapping rules in SLB to map URLto their corresponding Mule applications

Deploy the Mule application to CloudhubUpdate a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server topoint to the A record of the Cloudhub dedicated load balancerApply mapping rules in DLB to map URLto their corresponding Mule applications

Deploy the Mule application to CloudhubUpdate a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server topoint to the A record of the CloudHub shared load balancerApply mapping rules in SLB to map URLto their corresponding Mule applications

For each migrated Mule application, deploy an API proxy application to Cloudhub with all traffic to the mule applications routed through a Cloud Hub Dedicated load balancer (DLB) Update a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server to point to the A record of the CloudHub dedicated load balancer Apply mapping rules in DLB to map each API proxy application who is responding new application

Refer to the exhibit. The HTTP Listener and the Logger are being handled from which thread pools respectively?

Shared Selector Pool and CPU LITE

CPU_INTENSIVE and Dedicated Selector pool

Shared Selector Pool and CPU LITE

MuleSoft MCIA Level 1 Maintenance Practice Test 2 - Free Online Exam Prep & Questions

The ABC company has an Anypoint Runtime Fabric on VMs/Bare Metal (RTF-VM) appliance installed on its own customer-hosted AWS infrastructure.

Mule applications are deployed to this RTF-VM appliance. As part of the company standards, the Mule application logs must be forwarded to an external log management tool (LMT).

Given the company's current setup and requirements, what is the most idiomatic (used for its intended purpose) way to send Mule application logs to the external LMT?

Become a Premium Member for full access

Unlock Premium Member

MuleSoft MCIA Level 1 Maintenance Practice Test 2

Question

MuleSoft MCIA Level 1 Maintenance Practice Tests

Practice Tests