Download MuleSoft Certified Integration Architect - Level 1.MCIA-Level-1.VCEplus.2025-04-01.83q.vcex

Vendor: Mulesoft
Exam Code: MCIA-Level-1
Exam Name: MuleSoft Certified Integration Architect - Level 1
Date: Apr 01, 2025
File Size: 5 MB
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Demo Questions

Question 1
A Mule application contains a Batch Job scope with several Batch Step scopes. The Batch Job scope is configured with a batch block size of 25. 
A payload with 4,000 records is received by the Batch Job scope.
When there are no errors, how does the Batch Job scope process records within and between the Batch Step scopes?
  1. The Batch Job scope processes multiple record blocks in parallel, and a block of 25 records can jump ahead to the next Batch Step scope over an earlier block of records Each Batch Step scope is invoked with one record inthe payload of the received Mule event For each Batch Step scope, all 25 records within a block are processed in parallel All the records in a block must be completed before the block of 25 records is available to the next Batch Step scope
  2. The Batch Job scope processes each record block sequentially, one at a time Each Batch Step scope is invoked with one record in the payload of the received Mule event For each Batch Step scope, all 25 records within ablock are processed sequentially, one at a time All 4000 records must be completed before the blocks of records are available to the next Batch Step scope
  3. The Batch Job scope processes multiple record blocks in parallel, and a block of 25 records can jump ahead to the next Batch Step scope over an earlier block of records Each Batch Step scope is invoked with one record inthe payload of the received Mule event For each Batch Step scope, all 25 records within a block are processed sequentially, one record at a time All the records in a block must be completed before the block of 25 records is available to the next Batch Step scope
  4. The Batch Job scope processes multiple record blocks in parallel Each Batch Step scope is invoked with a batch of 25 records in the payload of the received Mule event For each Batch Step scope, all 4000 records areprocessed in parallel Individual records can jump ahead to the next Batch Step scope before the rest of the records finish processing in the current Batch Step scope
Correct answer: A
Explanation:
Reference:  https://docs.mulesoft.com/mule-runtime/4.4/batch-processing-concept
Reference:  
https://docs.mulesoft.com/mule-runtime/4.4/batch-processing-concept
Question 2
To implement predictive maintenance on its machinery equipment, ACME Tractors has installed thousands of IoT sensors that will send data for each machinery asset as sequences of JMS messages, in near real-time, to a JMS queue named SENSOR_DATA on a JMS server. The Mule application contains a JMS Listener operation configured to receive incoming messages from the JMS servers SENSOR_DATA JMS queue. The Mule application persists each received
JMS message, then sends a transformed version of the corresponding Mule event to the machinery equipment back-end systems.
The Mule application will be deployed to a multi-node, customer-hosted Mule runtime cluster.
Under normal conditions, each JMS message should be processed exactly once.
How should the JMS Listener be configured to maximize performance and concurrent message processing of the JMS queue?
  1. Set numberOfConsumers = 1Set primaryNodeOnly = false
  2. Set numberOfConsumers = 1Set primaryNodeOnly = true
  3. Set numberOfConsumers to a value greater than oneSet primaryNodeOnly = true
  4. Set numberOfConsumers to a value greater than oneSet primaryNodeOnly = false
Correct answer: D
Explanation:
Reference:  https://docs.mulesoft.com/jms-connector/1.8/jms-performance
Reference:  
https://docs.mulesoft.com/jms-connector/1.8/jms-performance
Question 3
An XA transaction Is being configured that involves a JMS connector listening for Incoming JMS messages. 
What is the meaning of the timeout attribute of the XA transaction, and what happens after the timeout expires?
  1. The time that is allowed to pass between committing the transaction and the completion of the Mule flow After the timeout, flow processing triggers an error
  2. The time that Is allowed to pass between receiving JMS messages on the same JMS connection After the timeout, a new JMS connection Is established
  3. The time that Is allowed to pass without the transaction being ended explicitly After the timeout, the transaction Is forcefully rolled-back
  4. The time that Is allowed to pass for state JMS consumer threads to be destroyed After the timeout, a new JMS consumer thread is created
Correct answer: C
Explanation:
* Setting a transaction timeout for the Bitronix transaction managerSet the transaction timeout eitherIn wrapper.confIn CloudHub in the Properties tab of the Mule application deployment ?The default is 60 secs. It is defined asmule.bitronix.transactiontimeout = 120* This property defines the timeout for each transaction created for this manager. If the transaction has not terminated before the timeout expires it will be automatically rolled back.--------------------------------------------------------------------------------------------------------------------- Additional Info around Transaction Management:Bitronix is available as the XA transaction manager for Mule applications ?To use Bitronix, declare it as a global configuration element in the Mule application<bti:transaction-manager />Each Mule runtime can have only one instance of a Bitronix transaction manager, which is shared by all Mule applicationsFor customer-hosted deployments, define the XA transaction manager in a Mule domainThen share this global element among all Mule applications in the Mule runtime  
* Setting a transaction timeout for the Bitronix transaction manager
Set the transaction timeout either
In wrapper.conf
In CloudHub in the Properties tab of the Mule application deployment ?
The default is 60 secs. It is defined as
mule.bitronix.transactiontimeout = 120
* This property defines the timeout for each transaction created for this manager.
 
If the transaction has not terminated before the timeout expires it will be automatically rolled back.
--------------------------------------------------------------------------------------------------------------------- Additional Info around Transaction Management:
Bitronix is available as the XA transaction manager for Mule applications ?
To use Bitronix, declare it as a global configuration element in the Mule application
<bti:transaction-manager />
Each Mule runtime can have only one instance of a Bitronix transaction manager, which is shared by all Mule applications
For customer-hosted deployments, define the XA transaction manager in a Mule domain
Then share this global element among all Mule applications in the Mule runtime
 
Question 4
Refer to the exhibit.
 
A Mule 4 application has a parent flow that breaks up a JSON array payload into 200 separate items, then sends each item one at a time inside an Async scope to a VM queue. A second flow to process orders has a VM Listener on the same VM queue. The rest of this flow processes each received item by writing the item to a database. This Mule application is deployed to four CloudHub workers with persistent queues enabled.
What message processing guarantees are provided by the VM queue and the CloudHub workers, and how are VM messages routed among the CloudHub workers for each invocation of the parent flow under normal operating conditions where all the CloudHub workers remain online?
  1. EACH item VM message is processed AT MOST ONCE by ONE CloudHub worker, with workers chosen in a deterministic round-robin fashion Each of the four CloudHub workers can be expected to process 1/4 of the ItemVM messages (about 50 items)
  2. EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARY CloudHub worker Each of the four CloudHub workers can be expected to process some item VM messages
  3. ALL Item VM messages are processed AT LEAST ONCE by the SAME CloudHub worker where the parent flow was invoked This one CloudHub worker processes ALL 200 item VM messages
  4. ALL item VM messages are processed AT MOST ONCE by ONE ARBITRARY CloudHub worker This one CloudHub worker processes ALL 200 item VM messages
Correct answer: B
Explanation:
Correct answer is EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARY CloudHub worker. Each of the four CloudHub workers can be expected to process some item VM messages In Cloudhub, each persistent VM queue is listened on by every CloudHub worker - But each message is read and processed at least once by only one CloudHub worker and the duplicate processing is possible - If the CloudHub worker fails , the message can be read by another worker to prevent loss of messages and this can lead to duplicate processing - By default , every CloudHub worker's VM Listener receives different messages from VM Queue Referenece:https://dzone.com/articles/deploying-mulesoft-application-on-1-worker-vs-mult
Correct answer is EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARY CloudHub worker. Each of the four CloudHub workers can be expected to process some item VM messages In Cloudhub, each persistent VM queue is listened on by every CloudHub worker - But each message is read and processed at least once by only one CloudHub worker and the duplicate processing is possible - If the CloudHub worker fails , the message can be read by another worker to prevent loss of messages and this can lead to duplicate processing - By default , every CloudHub worker's VM Listener receives different messages from VM Queue Referenece:
https://dzone.com/articles/deploying-mulesoft-application-on-1-worker-vs-mult
Question 5
An integration Mule application is deployed to a customer-hosted multi-node Mule 4 runtime duster.
The Mule application uses a Listener operation of a JMS connector to receive incoming messages from a JMS queue.
How are the messages consumed by the Mule application?
  1. Depending on the JMS provider's configuration, either all messages are consumed by ONLY the primary cluster node or else ALL messages are consumed by ALL cluster nodes
  2. Regardless of the Listener operation configuration, all messages are consumed by ALL cluster nodes
  3. Depending on the Listener operation configuration, either all messages are consumed by ONLY the primary cluster node or else EACH message is consumed by ANY ONE cluster node
  4. Regardless of the Listener operation configuration, all messages are consumed by ONLY the primary cluster node
Correct answer: C
Explanation:
Correct answer is Depending on the Listener operation configuration, either all messages are consumed by ONLY the primary cluster node or else EACH message is consumed by ANY ONE cluster node For applications running in clusters, you have to keep in mind the concept of primary node and how the connector will behave. When running in a cluster, the JMS listener default behavior will be to receive messages only in the primary node, no matter what kind of destination you are consuming from. In case of consuming messages from a Queue, you'll want to change this configuration to receive messages in all the nodes of the cluster, not just the primary.This can be done with the primaryNodeOnly parameter:<jms:listener config-ref="config" destination="${inputQueue}" primaryNodeOnly="false"/>
Correct answer is Depending on the Listener operation configuration, either all messages are consumed by ONLY the primary cluster node or else EACH message is consumed by ANY ONE cluster node For applications running in clusters, you have to keep in mind the concept of primary node and how the connector will behave. When running in a cluster, the JMS listener default behavior will be to receive messages only in the primary node, no matter what kind of destination you are consuming from. In case of consuming messages from a Queue, you'll want to change this configuration to receive messages in all the nodes of the cluster, not just the primary.
This can be done with the primaryNodeOnly parameter:
<jms:listener config-ref="config" destination="${inputQueue}" primaryNodeOnly="false"/>
Question 6
An Integration Mule application is being designed to synchronize customer data between two systems. One system is an IBM Mainframe and the other system is a Salesforce Marketing Cloud (CRM) instance. Both systems have been deployed in their typical configurations, and are to be invoked using the native protocols provided by Salesforce and IBM.
What interface technologies are the most straightforward and appropriate to use in this Mute application to interact with these systems, assuming that Anypoint Connectors exist that implement these interface technologies?
  1. IBM: DB access CRM: gRPC
  2. IBM: REST CRM:REST
  3. IBM: Active MQ CRM: REST
  4. IBM: CICS CRM: SOAP
Correct answer: D
Explanation:
Correct answer is IBM: CICS CRM: SOAPWithin Anypoint Exchange, MuleSoft offers the IBM CICS connector. Anypoint Connector for IBM CICS Transaction Gateway (IBM CTG Connector) provides integration with back-end CICS apps using the CICS Transaction Gateway.Anypoint Connector for Salesforce Marketing Cloud (Marketing Cloud Connector) enables you to connect to the Marketing Cloud API web services (now known as the Marketing Cloud API), which is also known as the Salesforce Marketing Cloud. This connector exposes convenient operations via SOAP for exploiting the capabilities of Salesforce Marketing Cloud.
Correct answer is IBM: CICS CRM: SOAP
  • Within Anypoint Exchange, MuleSoft offers the IBM CICS connector. Anypoint Connector for IBM CICS Transaction Gateway (IBM CTG Connector) provides integration with back-end CICS apps using the CICS Transaction Gateway.
  • Anypoint Connector for Salesforce Marketing Cloud (Marketing Cloud Connector) enables you to connect to the Marketing Cloud API web services (now known as the Marketing Cloud API), which is also known as the Salesforce Marketing Cloud. 
This connector exposes convenient operations via SOAP for exploiting the capabilities of Salesforce Marketing Cloud.
Question 7
What is required before an API implemented using the components of Anypoint Platform can be managed and governed (by applying API policies) on Anypoint Platform?
  1. The API must be published to Anypoint Exchange and a corresponding API instance ID must be obtained from API Manager to be used in the API implementation
  2. The API implementation source code must be committed to a source control management system (such as GitHub)
  3. A RAML definition of the API must be created in API designer so it can then be published to Anypoint Exchange
  4. The API must be shared with the potential developers through an API portal so API consumers can interact with the API
Correct answer: A
Explanation:
Context of the question is about managing and governing mule applications deployed on Anypoint platform.Anypoint API Manager (API Manager) is a component of Anypoint Platform that enables you to manage, govern, and secure APIs. It leverages the runtime capabilities of API Gateway and Anypoint Service Mesh, both of which enforce policies, collect and track analytics data, manage proxies, provide encryption and authentication, and manage applications.Mule Ref Doc :  https://docs.mulesoft.com/api-manager/2.x/getting-started-proxyReference:  https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept
Context of the question is about managing and governing mule applications deployed on Anypoint platform.
Anypoint API Manager (API Manager) is a component of Anypoint Platform that enables you to manage, govern, and secure APIs. It leverages the runtime capabilities of API Gateway and Anypoint Service Mesh, both of which enforce policies, collect and track analytics data, manage proxies, provide encryption and authentication, and manage applications.
Mule Ref Doc :  
https://docs.mulesoft.com/api-manager/2.x/getting-started-proxy
Reference:  
https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept
Question 8
Refer to the exhibit.
 
One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make. Both the backend system and the API implementation are deployed to several non-production environments in addition to production.
Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.
What is the most effective approach to conduct performance tests of the API implementation in a staging (non-production) environment?
  1. Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests
  2. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
  3. Include logic within the API implementation that bypasses invocations of the backend system in a performance test situation. Instead invoking local stubs that replicate typical backend system responses then conductperformance tests using this API Implementation
  4. Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale
Correct answer: A
Explanation:
Correct answer is Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests:MUnit is for only Unit and integration testing for APIs and Mule apps. Not for performance Testing, even if it has the ability to Mock the backend.Bypassing the backend invocation defeats the whole purpose of performance testing. Hence it is not a valid answer.Scaled down performance tests cant be relied upon as performance of API's is not linear against load.
Correct answer is Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests:
  • MUnit is for only Unit and integration testing for APIs and Mule apps. Not for performance Testing, even if it has the ability to Mock the backend.
  • Bypassing the backend invocation defeats the whole purpose of performance testing. Hence it is not a valid answer.
  • Scaled down performance tests cant be relied upon as performance of API's is not linear against load.
Question 9
An API has been unit tested and is ready for integration testing. The API is governed by a Client ID Enforcement policy in all environments.
What must the testing team do before they can start integration testing the API in the Staging environment?
  1. They must access the API portal and create an API notebook using the Client ID and Client Secret supplied by the API portal in the Staging environment
  2. They must request access to the API instance in the Staging environment and obtain a Client ID and Client Secret to be used for testing the API
  3. They must be assigned as an API version owner of the API in the Staging environment
  4. They must request access to the Staging environment and obtain the Client ID and Client Secret for that environment to be used for testing the API
Correct answer: B
Explanation:
* It's mentioned that the API is governed by a Client ID Enforcement policy in all environments.* Client ID Enforcement policy allows only authorized applications to access the deployed API implementation.* Each authorized application is configured with credentials: client_id and client_secret.* At runtime, authorized applications provide the credentials with each request to the API implementation.MuleSoft Reference: https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-basedpolicies
* It's mentioned that the API is governed by a Client ID Enforcement policy in all environments.
* Client ID Enforcement policy allows only authorized applications to access the deployed API implementation.
* Each authorized application is configured with credentials: client_id and client_secret.
* At runtime, authorized applications provide the credentials with each request to the API implementation.
MuleSoft Reference: https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-basedpolicies
Question 10
What requires configuration of both a key store and a trust store for an HTTP Listener?
  1. Support for TLS mutual (two-way) authentication with HTTP clients
  2. Encryption of requests to both subdomains and API resource endpoints fhttPs://aDi.customer.com/ and https://customer.com/api)
  3. Encryption of both HTTP request and HTTP response bodies for all HTTP clients
  4. Encryption of both HTTP request header and HTTP request body for all HTTP clients
Correct answer: A
Explanation:
1 way SSL : The server presents its certificate to the client and the client adds it to its list of trusted certificate. And so, the client can talk to the server.2-way SSL: The same principle but both ways. i.e. both the client and the server has to establish trust between themselves using a trusted certificate. In this way of a digital handshake, the server needs to present a certificate to authenticate itself to client and client has to present its certificate to server.TLS is a cryptographic protocol that provides communications security for your Mule app.TLS offers many different ways of exchanging keys for authentication, encrypting data, and guaranteeing message integrity Keystores and Truststores Truststore and keystore contents differ depending on whether they are used for clients or servers:For servers: the truststore contains certificates of the trusted clients, the keystore contains the private and public key of the server. For clients: the truststore contains certificates of the trusted servers, the keystore contains the private and public key of the client.Adding both a keystore and a truststore to the configuration implements two-way TLS authentication also known as mutual authentication.* in this case, correct answer is Support for TLS mutual (two-way) authentication with HTTP clients.   
1 way SSL : The server presents its certificate to the client and the client adds it to its list of trusted certificate. And so, the client can talk to the server.
2-way SSL: The same principle but both ways. i.e. both the client and the server has to establish trust between themselves using a trusted certificate. In this way of a digital handshake, the server needs to present a certificate to authenticate itself to client and client has to present its certificate to server.
  • TLS is a cryptographic protocol that provides communications security for your Mule app.
  • TLS offers many different ways of exchanging keys for authentication, encrypting data, and guaranteeing message integrity Keystores and Truststores 
Truststore and keystore contents differ depending on whether they are used for clients or servers:
For servers: the truststore contains certificates of the trusted clients, the keystore contains the private and public key of the server. 
For clients: the truststore contains certificates of the trusted servers, the keystore contains the private and public key of the client.
Adding both a keystore and a truststore to the configuration implements two-way TLS authentication also known as mutual authentication.
* in this case, correct answer is Support for TLS mutual (two-way) authentication with HTTP clients.
  
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