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How to study the MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 Exam
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Introduction to MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 Exam
A MuleSoft Certified Developer - Level 1 should be able to successfully work on basic Mule 4 projects with guidance and supervision. The exam validates that a developer has the required knowledge and skills to design, build, test and debug, deploy, and manage basic APIs and integrations: moving from Anypoint Integration to Anypoint Studio and back. Certified candidates should be able to:
- Connect to a range of resources including databases, files, web services, SaaS applications, and JMS queues.
- Use MuleSoft-hosted Anypoint Integration to take a basic API through all the steps of its lifecycle: design, build, deploy, manage, and govern.
- Control event flow and handle errors.
NEW QUESTION 36
A REST API is being designed to implement a Mule application.
What standard interface definition language can be used to define REST APIs?
- A. YAML
- B. Web Service Definition Language(WSDL)
- C. AsyncAPI Specification
- D. OpenAPI Specification (OAS)
Answer: D
NEW QUESTION 37
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?
- A. 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
- B. 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
- C. 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 Item VM messages (about 50 items)
- D. ALL item VM messages are processed AT MOST ONCE by ONE ARBITRARY CloudHub worker This one CloudHub worker processes ALL 200 item VM messages
Answer: A
NEW QUESTION 38
An integration Mute application consumes and processes a list of rows from a CSV file. Each row must be read from the CSV file, validated, and the row data sent to a JMS queue, in the exact order as in the CSV file.
If any processing step for a row falls, then a log entry must be written for that row, but processing of other rows must not be affected.
What combination of Mute components is most idiomatic (used according to their intended purpose) when Implementing the above requirements?
- A. For Each scope On Error Continue scope
- B. VM connector first Successful scope On Error Propagate scope
- C. Async scope On Error Propagate scope
- D. Scatter-Gather component On Error Continue scope
Answer: A
Explanation:
* On Error Propagate halts execution and sends error to the client. In this scenario it's mentioned that "processing of other rows must not be affected" so Option B and C are ruled out.
* Scatter gather is used to club multiple responses together before processing. In this scenario, we need sequential processing. So option A is out of choice.
* Correct answer is For Each scope & On Error Continue scope Below requirement can be fulfilled in the below way
1) Using For Each scope , which will send each row from csv file sequentially. each row needs to be sent sequentially as requirement is to send the message in exactly the same way as it is mentioned in the csv file
2) Also other part of requirement is if any processing step for a row fails then it should log an error but should not affect other record processing . This can be achieved using On error Continue scope on these set of activities. so that error will not halt the processing. Also logger needs to be added in error handling section so that it can be logged.
* Attaching diagram for reference. Here it's try scope, but similar would be the case with For Each loop.
NEW QUESTION 39
Refer to the exhibit.
An organization is sizing an Anypoint VPC for the non-production deployments of those Mule applications that connect to the organization's on-premises systems. This applies to approx. 60 Mule applications. Each application is deployed to two CloudHub i workers. The organization currently has three non-production environments (DEV, SIT and UAT) that share this VPC. The AWS region of the VPC has two AZs.
The organization has a very mature DevOps approach which automatically progresses each application through all non-production environments before automatically deploying to production. This process results in several Mule application deployments per hour, using CloudHub's normal zero-downtime deployment feature.
What is a CIDR block for this VPC that results in the smallest usable private IP address range?
- A. 10.0.0.0/26 (64 IPS)
- B. 10.0.0.0/24 (256 IPs)
- C. 10.0.0.0/22 (1024 IPs)
- D. 10.0.0.0/25 (128 IPs)
Answer: C
NEW QUESTION 40
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
Answer: A
Explanation:
Correct answer is "Compile, package, unit test, validate unit test coverage, deploy" Explanation: : 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
NEW QUESTION 41
An Order microservice and a Fulfillment microservice are being designed to communicate with their clients through message-based integration (and NOT through API invocations).
The Order microservice publishes an Order message (a kind of command message) containing the details of an order to be fulfilled. The intention is that Order messages are only consumed by one Mule application, the Fulfillment microservice.
The Fulfillment microservice consumes Order messages, fulfills the order described therein, and then publishes an OrderFulfilled message (a kind of event message). Each OrderFulfilled message can be consumed by any interested Mule application, and the Order microservice is one such Mule application.
What is the most appropriate choice of message broker(s) and message destination(s) in this scenario?
- A. Order messages are sent to an Anypoint MQ exchange
OrderFulfilled messages are sent to an Anypoint MQ queue
Both microservices interact with Anypoint MQ as the message broker, which must therefore scale to support the load of both microservices - B. Order messages are sent directly to the Fulfillment microservices
OrderFulfilled messages are sent directly to the Order microservice
The Order microservice interacts with one AMQP-compatible message broker and the Fulfillment microservice interacts with a different AMQP-compatible message broker, so that both message brokers can be chosen and scaled to best support the load of each microservice - C. Order messages are sent to a JMS queue
OrderFulfilled messages are sent to a JMS topic
The Order microservice interacts with one JMS provider (message broker) and the Fulfillment microservice interacts with a different JMS provider, so that both message brokers can be chosen and scaled to best support the load of each microservice - D. Order messages are sent to a JMS queue
OrderFulfilled messages are sent to a JMS topic
Both microservices interact with the same JMS provider (message broker) instance, which must therefore scale to support the load of both microservices
Answer: C
NEW QUESTION 42
Refer to the exhibit.
This Mule application is deployed to multiple Cloudhub workers with persistent queue enabled. The retrievefile flow event source reads a CSV file from a remote SFTP server and then publishes each record in the CSV file to a VM queue. The processCustomerRecords flow's VM Listner receives messages from the same VM queue and then processes each message separately.
How are messages routed to the cloudhub workers as messages are received by the VM Listener?
- A. Each messages routes to ONE of the available Clouhub workers in a NON- DETERMINSTIC non round-robin fashion thereby APPROXIMATELY BALANCING messages among the cloudhub workers
- B. Each message is duplicated to ALL of the Cloudhub workers, thereby SHARING EACH message with ALL the Cloudhub workers.
- C. Each message is routed to the SAME Cloudhub worker that retrieved the file, thereby BINDING ALL messages to ONLY that ONE Cloudhub worker
- D. Each message is routed to ONE of the Cloudhub workers in a DETERMINSTIC round robin fashion thereby EXACTLY BALANCING messages among the cloudhub workers
Answer: A
NEW QUESTION 43
Refer to the exhibit.
A Mule application has an HTTP Listener that accepts HTTP DELETE requests. This Mule application Is deployed to three CloudHub workers under the control of the CloudHub Shared Load Balancer.
A web client makes a sequence of requests to the Mule application's public URL.
How is this sequence of web client requests distributed among the HTTP Listeners running in the three CloudHub workers?
- A. Each request is routed (scattered) to ALL three CloudHub workers at the same time
- B. Each request is routed to the PRIMARY CloudHub worker in the PRIMARY Availability Zone (AZ)
- C. Each request Is routed to ONE ARBiTRARY CloudHub worker out of ALL three CloudHub workers
- D. Each request is routed to ONE ARBiTRARYCloudHub worker in the PRIMARY Availability Zone (AZ)
Answer: C
NEW QUESTION 44
What operation can be performed through a JMX agent enabled in a Mule application?
- A. Replay an unsuccessful message
- B. Deploy a Mule application
- C. Set a particular tog4J2 log level to TRACE
- D. View object store entries
Answer: D
NEW QUESTION 45
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 Anypoint MQ connector configured to directly access the Pub Mule application persistence object store
- B. Use the Object store v2 REST API configured to access the Pub Mule application persistence object store.
- C. Use a VM connector configured to directly access the persistence queue of the Pub Mule application persistence object store.
- D. Use an object store connector configured to access the Pub Mule application persistence object store
Answer: B
NEW QUESTION 46
A mule application is deployed to a Single Cloudhub worker and the public URL appears in Runtime Manager as the APP URL.
Requests are sent by external web clients over the public internet to the mule application App url. Each of these requests routed to the HTTPS Listener event source of the running Mule application.
Later, the DevOps team edits some properties of this running Mule application in Runtime Manager.
Immediately after the new property values are applied in runtime manager, how is the current Mule application deployment affected and how will future web client requests to the Mule application be handled?
- A. Cloudhub will redeploy the Mule application to a NEW Cloudhub worker New web client requests are ROUTED to the OLD Cloudhub worker until the NEW Cloudhub worker is available.
- B. Cloudhub will redeploy the Mule application to the OLD Cloudhub worker New web client requests will RETURN AN ERROR until the Mule application is redeployed to the OLD Cloudhub worker
- C. CloudHub will redeploy the Mule application to a NEW Cloudhub worker New web client requests will RETURN AN ERROR until the NEW Cloudhub worker is available
- D. Cloudhub will redeploy the mule application to the OLD Cloudhub worker New web client requests are ROUTED to the OLD Cloudhub worker BOTH before and after the Mule application is redeployed.
Answer: A
Explanation:
CloudHub supports updating your applications at runtime so end users of your HTTP APIs experience zero downtime. While your application update is deploying, CloudHub keeps the old version of your application running. Your domain points to the old version of your application until the newly uploaded version is fully started. This allows you to keep servicing requests from your old application while the new version of your application is starting.
NEW QUESTION 47
Refer to the exhibit.
A Mule application isdeployed to a multi-node Mule runtime cluster. The Mule application uses the competing consumer pattern among its cluster replicas to receive JMS messages from a JMS queue. To process each received JMS message, the following steps are performed in a flow:
Step l: The JMS Correlation ID header is read from the received JMS message.
Step 2: The Mule application invokes an idempotent SOAP webservice over HTTPS, passing the JMS Correlation ID as one parameter in the SOAP request.
Step 3: The response fromthe SOAP webservice also returns the same JMS Correlation ID.
Step 4: The JMS Correlation ID received from the SOAP webservice is validated to be identical to the JMS Correlation ID received in Step 1.
Step 5: The Mule application creates aresponse JMS message, setting the JMS Correlation ID message header to the validated JMS Correlation ID and publishes that message to a response JMS queue.
Where should the Mule application store the JMS Correlation ID values received in Step 1 and Step 3so that the validation in Step 4 can be performed, while also making the overall Mule application highly available, fault-tolerant, performant, and maintainable?
- A. Both Correlation IDvalues should be stored as Mule event variable/attribute
- B. The Correlation ID value in Step 1 should be stored in a persistent object store The Correlation ID value in step 3 should be stored as a Mule event variable/attribute
- C. Both Correlation ID values should be stored in a persistent object store
- D. Both Correlation ID values should be stored In a non-persistent object store
Answer: A
NEW QUESTION 48
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 Runtime Manager
- B. Anypoint API Manager
- C. The Mule runtimes
- D. Anypoint Exchange
Answer: A
NEW QUESTION 49
What is true about the network connections when a Mule application uses a JMS connector to interact with a JMS provider (message broker)?
- A. To complete sending a JMS message, the JMS connector must establish a network connection with the JMS message recipient
- B. The JMS connector supports both sending and receiving of JMS messages over the protocol determined by the JMS provider
- C. The AMQP protocol can be used by the JMS connector to portably establish connections to various types of JMS providers
- D. To receive messages into the Mule application, the JMS provider initiates a network connection to the JMS connector and pushes messages along this connection
Answer: B
Explanation:
* To send message or receive JMS (Java Message Service) message no separate network connection need to be established. So option A, C and D are ruled out.
Correct answer: The JMS connector supports both sending and receiving of JMS messages over the protocol determined by the JMS provider.
* JMS Connector enables sending and receiving messages to queues and topics for any message service that implements the JMS specification.
* JMS is a widely used API for message-oriented middleware.
* It enables the communication between different components of a distributed application to be loosely coupled, reliable, and asynchronous.
MuleSoft Doc Reference: https://docs.mulesoft.com/jms-connector/1.7/
NEW QUESTION 50
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. For Each scope in the parent flow
On Error Continue error handler in the child flow - B. Until Successful router in the parent flow
On Error Propagate 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. First Successful router in the parent flow
On Error Continue error handler in the child flow
Answer: A
NEW QUESTION 51
Refer to the exhibit.
A Mule application has an HTTP Listener that accepts HTTP DELETE requests. This Mule application Is deployed to three CloudHub workers under the control of the CloudHub Shared Load Balancer.
A web client makes a sequence of requests to the Mule application's public URL.
How is this sequence of web client requests distributed among the HTTP Listeners running in the three CloudHub workers?
- A. Each request is routed (scattered) to ALL three CloudHub workers at the same time
- B. Each request is routed to the PRIMARY CloudHub worker in the PRIMARY Availability Zone (AZ)
- C. Each request Is routed to ONE ARBiTRARY CloudHub worker out of ALL three CloudHub workers
- D. Each request is routed to ONE ARBiTRARY CloudHub worker in the PRIMARY Availability Zone (AZ)
Answer: C
NEW QUESTION 52
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 Anypoint MQ connector configured to directly access the Pub Mule application persistence object store
- B. Use the Object store v2 REST API configured to access the Pub Mule application persistence object store.
- C. Use a VM connector configured to directly access the persistence queue of the Pub Mule application persistence object store.
- D. Use an object store connector configured to access the Pub Mule application persistence object store
Answer: B
Explanation:
* 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:
Additional Info:
When to use Object Store and when to use VM
NEW QUESTION 53
Refer to the exhibit.
An organization uses a 2-node Mute runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution.
Two additional nodes have been added to the cluster and the load balancer has been configured to recognize the new nodes with no other change to the load balancer.
What average performance change is guaranteed to happen, assuming all cluster nodes are fully operational?
- A. 100% increase in the throughput of the API
- B. 50% reduction In the JVM heap memory consumed by each node
- C. 50% reduction In the number of requests being received by each node
- D. 50% reduction in the response time of the API
Answer: C
NEW QUESTION 54
Refer to the exhibit.
A Mule application is deployed to a cluster of two customer-hosted Mute runtimes. The Mute application has a flow that polls a database and another flow with an HTTP Listener.
HTTP clients send HTTP requests directly to individual cluster nodes.
What happens to database polling and HTTP request handling in the time after the primary (master) node of the cluster has railed, but before that node is restarted?
- A. Database polling stops All HTTP requests are rejected
- B. Database polling continues Only HTTP requests sent to the remaining node continue to be accepted
- C. Database polling stops All HTTP requests continue to be accepted
- D. Database polling continues All HTTP requests continue to be accepted, but requests to the failed node Incur increased latency
Answer: B
Explanation:
Correct answer is Database polling continues Only HTTP requests sent to the remaining node continue to be accepted. Explanation: : Architecture descripted in the question could be described as follows.When node 1 is down , DB polling will still continue via node 2 . Also requests which are coming directly to node 2 will also be accepted and processed in BAU fashion. Only thing that wont work is when requests are sent to Node 1 HTTP connector. The flaw with this architecture is HTTP clients are sending HTTP requests directly to individual cluster nodes. By default, clustering Mule runtime engines ensures high system availability. If a Mule runtime engine node becomes unavailable due to failure or planned downtime, another node in the cluster can assume the workload and continue to process existing events and messages
NEW QUESTION 55
Anypoint Exchange is required to maintain the source code of some of the assets committed to it, such as Connectors, Templates, and API specifications.
What is the best way to use an organization's source-code management (SCM) system in this context?
- A. Organizations can continue to use an SCM system of their choice for branching and merging, as long as they follow the branching and merging strategy enforced by Anypoint Exchange
- B. Organizations should continue to use an SCM system of their choice, in addition to keeping source code for these asset types in Anypoint Exchange, thereby enabling parallel development, branching, and merging
- C. Organizations need to use Anypoint Exchange as the main SCM system to centralize versioning and avoid code duplication
- D. Organizations need to point Anypoint Exchange to their SCM system so Anypoint Exchange can pull source code when requested by developers and provide it to Anypoint Studio
Answer: C
Explanation:
* Organization should continue to use SCM system of their choice, in addition to keeping source code for these asset types in Anypoint Exchange, thereby enabling parallel development, branching.
* Reason is that Anypoint exchange is not full fledged version repositories like GitHub.
* But at same time it is tightly coupled with Mule assets
NEW QUESTION 56
An organization's security policies mandate complete control of the login credentials used to log in to Anypoint Platform. What feature of Anypoint Platform should be used to meet this requirement?
- A. Client ID Secret
- B. Federated Client Management
- C. Federated Identity Management
- D. Enterprise Security Module
Answer: C
NEW QUESTION 57
An organization has various integrations implemented as Mule applications. Some of these Mule applications are deployed to custom hosted Mule runtimes (on-premises) while others execute in the MuleSoft-hosted runtime plane (CloudHub). To perform the Integra functionality, these Mule applications connect to various backend systems, with multiple applications typically needing to access the backend systems.
How can the organization most effectively avoid creating duplicates in each Mule application of the credentials required to access the backend systems?
- A. Create a Mule domain project that maintains the credentials as Mule domain-shared resources Deploy the Mule applications to the Mule domain, so the credentials are available to the Mule applications
- B. Segregate the credentials for each backend system into environment-specific properties files Package these properties files in each Mule application, from where they are loaded at startup
- C. Store the credentials in properties files in a shared folder within the organization's data center Have the Mule applications load properties files from this shared location at startup
- D. Configure or create a credentials service that returns the credentials for each backend system, and that is accessible from customer-hosted and MuleSoft-hosted Mule runtimes Have the Mule applications toad the properties at startup by invoking that credentials service
Answer: B
NEW QUESTION 58
An organization uses a four(4) node customer hosted Mule runtime cluster to host one(1) stateless api implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution. Each node in the cluster has been sized to be able to accept four(4) times the current number of requests.
Two(2) nodes in the cluster experience a power outage and are no longer available. The load balancer directs the outage and blocks the two unavailable the nodes from receiving further HTTP requests.
What performance-related consequence is guaranteed to happen to average, assuming the remaining cluster nodes are fully operational?
- A. 100% increase in the average response time of the API
- B. 50% increase in the JVM heap memory consumed by each remaining node
- C. 100% increase in the number of requests received by each remaining node
- D. 50% reduction in the throughput of the API
Answer: B
NEW QUESTION 59
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