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NEW QUESTION # 69
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 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
- B. 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
- C. Implement the Async scope fetch the data from the backend application and to insert records in the Audit database
- D. Implement a for each scope to fetch the data from the back-end application and to insert records into the Audit database
Answer: B
NEW QUESTION # 70
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?
- A. 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 are processed 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 - B. 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 a block 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
- C. 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 in the 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
- D. 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 in the 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
Answer: D
NEW QUESTION # 71
Refer to the exhibit.
The HTTP Listener and the Logger are being handled from which thread pools respectively?
- A. Shared Selector Pool and CPU LITE
- B. BLOCKING _IO and UBER
- C. UBER and NONBLOCKING
- D. CPU_INTENSIVE and Dedicated Selector pool
Answer: A
NEW QUESTION # 72
What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?
- A. The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
- B. A fixed number of FQDNs are created, IRRESPECTIVE of the environment and VPC design
- C. The FQDNs are determined by the application name, but can be modified by an administrator after deployment
- D. The FQDNs are determined by both the application name and the region
Answer: D
Explanation:
Explanation
Every Mule application deployed to CloudHub receives a DNS entry pointing to the CloudHub. The DNS entry is a CNAME for the CloudHub Shared Load Balancer in the region to which the Mule application is deployed. When we deploy the application on CloudHub, we get a generic url to access the endpoints. Generic URL looks as below:
<application-name>.<region>.cloudhub.io <application-name> is the deployed application name which is unique across all the MuleSoft clients. <region> is the region name in which an application is deployed.
The
public CloudHub (shared) load balancer already redirects these requests, where myApp is the name of the Mule application deployment to CloudHub: HTTP requests to http://myApp.
<region>.cloudhub.io redirects to
http://mule-worker-myApp.<region>.cloudhub.io:8081
HTTPS traffic to https://myApp.<region>.cloudhub.io redirects to
https://mule-worker-myApp.<region>.cloudhub.io:8082
NEW QUESTION # 73
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. On Error Continue scope to be used to call in case of error again
- B. Create a batch job with all requests being sent to backend using that job as per the availability of backend API's
- C. Alerts can be configured in Mule runtime so that backend team can be communicated when services are down
- D. Until Successful scope can be implemented while calling backend API's
Answer: D
Explanation:
Explanation
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
NEW QUESTION # 74
An organization has implemented a continuous integration (CI) lifecycle that promotes Mule applications through code, build, and test stages. To standardize the organization's CI journey, a new dependency control approach is being designed to store artifacts that include information such as dependencies, versioning, and build promotions.
To implement these process improvements, the organization will now require developers to maintain all dependencies related to Mule application code in a shared location.
What is the most idiomatic (used for its intended purpose) type of system the organization should use in a shared location to standardize all dependencies related to Mule application code?
- A. The Anypoint Object Store service at cloudhub.io
- B. A binary artifact repository
- C. API Community Manager
- D. A MuleSoft-managed repository atrepository.mulesoft.org
Answer: C
NEW QUESTION # 75
A trading company handles millions of requests a day. Due to nature of its business, it requires excellent performance and reliability within its application.
For this purpose, company uses a number of event-based API's hosted on various mule clusters that communicate across a shared message queue sitting within its network.
Which method should be used to meet the company's requirement for its system?
- A. VM queues with reliability pattern
- B. JMS manual acknowledgements with a reliability pattern
- C. XA transactions and XA connected components
- D. JMS transactions
Answer: B
NEW QUESTION # 76
An organization is migrating all its Mule applications to Runtime Fabric (RTF). None of the Mule applications use Mule domain projects.
Currently, all the Mule applications have been manually deployed to a server group among several customer hosted Mule runtimes.
Port conflicts between these Mule application deployments are currently managed by the DevOps team who carefully manage Mule application properties files.
When the Mule applications are migrated from the current customer-hosted server group to Runtime Fabric (RTF), fo the Mule applications need to be rewritten and what DevOps port configuration responsibilities change or stay the same?
- A. NO, the Mule applications do NO need to be rewritten
DevOps NO LONGER needs to manage port conflicts between the Mule applications. - B. Yes, the Mule applications Must be rewritten
DevOps Must Still Manage port conflicts. - C. Yes, the Mule applications Must be rewritten
DevOps No Longer needs to manage port conflicts between the Mule applications - D. NO, The Mule applications do NOT need to be rewritten
DevOps MUST STILL manage port conflicts
Answer: D
Explanation:
Explanation
* Anypoint Runtime Fabric is a container service that automates the deployment and orchestration of your Mule applications and gateways.
* Runtime Fabric runs on customer-managed infrastructure on AWS, Azure, virtual machines (VMs) or bare-metal servers.
* As none of the Mule applications use Mule domain projects. applications are not required to be rewritten.
Also when applications are deployed on RTF, by default ingress is allowed only on 8081.
* Hence port conflicts are not required to be managed by DevOps team
NEW QUESTION # 77
A Mule application is being designed To receive nightly a CSV file containing millions of records from an external vendor over SFTP, The records from the file need to be validated, transformed. And then written to a database. Records can be inserted into the database in any order.
In this use case, what combination of Mule components provides the most effective and performant way to write these records to the database?
- A. Use a DataWeave map operation and an Async scope to insert records one by one into the database.
- B. Use a Scatter-Gather to bulk insert records into the database
- C. Use a Batch job scope to bulk insert records into the database.
- D. Use a Parallel for Each scope to Insert records one by one into the database
Answer: C
Explanation:
Explanation
Correct answer is Use a Batch job scope to bulk insert records into the database
* Batch Job is most efficient way to manage millions of records.
A few points to note here are as follows :
Reliability: If you want reliabilty while processing the records, i.e should the processing survive a runtime crash or other unhappy scenarios, and when restarted process all the remaining records, if yes then go for batch as it uses persistent queues.
Error Handling: In Parallel for each an error in a particular route will stop processing the remaining records in that route and in such case you'd need to handle it using on error continue, batch process does not stop during such error instead you can have a step for failures and have a dedicated handling in it.
Memory footprint: Since question said that there are millions of records to process, parallel for each will aggregate all the processed records at the end and can possibly cause Out Of Memory.
Batch job instead provides a BatchResult in the on complete phase where you can get the count of failures and success. For huge file processing if order is not a concern definitely go ahead with Batch Job
NEW QUESTION # 78
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?
- A. Anypoint platform REST API's
- B. Directly uploading ajar file from the Runtime manager
- C. AnypointCLI
- D. Mule maven plug-in
Answer: D
NEW QUESTION # 79
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?
- A. External access configured in API Manager
- B. Identity management configured in access management
- C. Client management configured in access management
- D. Enterprise Security module coded in Mule applications
Answer: B
NEW QUESTION # 80
A Mule application is running on a customer-hosted Mule runtime in an organization's network. The Mule application acts as a producer of asynchronous Mule events. Each Mule event must be broadcast to all interested external consumers outside the Mule application. The Mule events should be published in a way that is guaranteed in normal situations and also minimizes duplicate delivery in less frequent failure scenarios.
The organizational firewall is configured to only allow outbound traffic on ports 80 and 443. Some external event consumers are within the organizational network, while others are located outside the firewall.
What Anypoint Platform service is most idiomatic (used for its intended purpose) for publishing these Mule events to all external consumers while addressing the desired reliability goals?
- A. CloudHub VM queues
- B. CloudHub Shared Load Balancer
- C. Anypoint Exchange
- D. Anypoint MQ
Answer: D
Explanation:
Explanation
Set the Anypoint MQ connector operation to publish or consume messages, or to accept (ACK) or not accept (NACK) a message.
NEW QUESTION # 81
An organization is designing a mule application to support an all or nothing transaction between serval database operations and some other connectors so that they all roll back if there is a problem with any of the connectors Besides the database connector , what other connector can be used in the transaction.
- A. SFTP
- B. Anypoint MQ
- C. VM
- D. ObjectStore
Answer: C
Explanation:
Explanation
Correct answer is VM VM support Transactional Type. When an exception occur, The transaction rolls back to its original state for reprocessing. This feature is not supported by other connectors.
Here is additional information about Transaction management:
Table Description automatically generated
NEW QUESTION # 82
An organization has deployed both Mule and non-Mule API implementations to integrate its customer and order management systems. All the APIs are available to REST clients on the public internet.
The organization wants to monitor these APIs by running health checks: for example, to determine if an API can properly accept and process requests. The organization does not have subscriptions to any external monitoring tools and also does not want to extend its IT footprint.
What Anypoint Platform feature provides the most idiomatic (used for its intended purpose) way to monitor the availability of both the Mule and the non-Mule API implementations?
- A. Runtime Manager
- B. API Functional Monitoring
- C. API Manager
- D. Anypoint Visualizer
Answer: D
NEW QUESTION # 83
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?
- A. AsyncAPI over HTTPS
AMQP with RabbitMQ JSON/REST over HTTPS - B. XML over ActiveMQ XML over SFTP XML/REST over HTTPS
- C. SOAP over HTTPS HOP over TLS gRPC over HTTPS
- D. CSV over FTP YAM L over TLS JSON over HTTPS
Answer: A
NEW QUESTION # 84
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