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NEW QUESTION # 49
A stock broking company makes use of CloudHub VPC to deploy Mule applications. Mule application needs to connect to a database application in the customers on-premises corporate data center and also to a Kafka cluster running in AWS VPC.
How is access enabled for the API to connect to the database application and Kafka cluster securely?
- A. Setup VPC peering with the customers onto my service corporate data center and Anypoint VPN to AWS VPC
- B. Setup AnyPoint VPN to the customer's on-premise corporate data
center and VPC peering with AWS VPC - C. Setup VPC peering with AWS VPC and the customers devices corporate data center
- D. Set up a transit gateway to the customers on-premises corporate datacenter to AWS VPC
Answer: B
NEW QUESTION # 50
An organization has just developed a Mule application that implements a REST API. The mule application will be deployed to a cluster of customer hosted Mule runtimes.
What additional infrastructure component must the customer provide in order to distribute inbound API requests across the Mule runtimes of the cluster?
- A. An HTTP Load Balancer
- B. A database
- C. A message broker
- D. An Object Store
Answer: A
Explanation:
Explanation
Correct answer is An HTTP Load Balancer.
Key thing to note here is that we are deploying application to customer hosted Mule runtime. This means we will need load balancer to route the requests to different instances of the cluster.
Rest all options are distractors and their requirement depends on project use case.
NEW QUESTION # 51
A company is implementing a new Mule application that supports a set of critical functions driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As designed the mule application requires many data transformation operations as it performs its batch processing logic.
The company wants to leverage and reuse as many of its existing java-based capabilities (classes, objects, data model etc.) as possible What approach should be considered when implementing required data mappings and transformations between Mule application and Oracle ERP in the new Mule application?
- A. From the mule application, transform via theXSLT model
- B. Transform by calling any suitable Java class from Dataweave
- C. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave
- D. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
Answer: B
NEW QUESTION # 52
An organization if struggling frequent plugin version upgrades and external plugin project dependencies. The team wants to minimize the impact on applications by creating best practices that will define a set of default dependencies across all new and in progress projects.
How can these best practices be achieved with the applications having the least amount of responsibility?
- A. Create a mule domain project with all the dependencies define in its POM.xml file and add each application to the domain Project
- B. Add all dependencies in each application's POM.xml file
- C. Create a parent POM of all the required dependencies and reference each in each application's POM.xml file
- D. Create a Mule plugin project with all the dependencies and add it as a dependency in each application's POM.xml file
Answer: C
NEW QUESTION # 53
An organization is designing multiple new applications to run on CloudHub in a single Anypoint VPC and that must share data using a common persistent Anypoint object store V2 (OSv2).
Which design gives these mule applications access to the same object store instance?
- A. An Anypoint MQ connector configured to directly access the persistent object store
- B. Object store V2 can be shared across cloudhub applications with the configured osv2 connector
- C. AVM connector configured to directly access the persistence queue of the persistent object store
- D. The object store V2 rest API configured to access the persistent object store
Answer: D
NEW QUESTION # 54
A company is planning to extend its Mule APIs to the Europe region. Currently all new applications are deployed to Cloudhub in the US region following this naming convention
{API name}-{environment}. for example, Orders-SAPI-dev, Orders-SAPI-prod etc.
Considering there is no network restriction to block communications between API's, what strategy should be implemented in order to apply the same new API's running in the EU region of CloudHub as well to minimize latency between API's and target users and systems in Europe?
- A. Set region property to Europe (eu-de) in runtime manager for all the mule application Change the naming convention to {API name}-{environment}-{region} and communicate this change to the consuming applications and users
- B. Set region property to Europe (eu-de) in runtime manager for all the mule application No need to change the naming convention
- C. Set region property to Europe (eu-de) in API manager for all the mule application Change the naming convention to {API name}-{environment}-{region} and communicate this change to the consuming applications and users
- D. Set region property to Europe (eu-de) in API manager for all the mule application No need to change the naming convention
Answer: A
NEW QUESTION # 55
An organization needs to enable access to their customer data from both a mobile app and a web application, which each need access to common fields as well as certain unique fields. The data is available partially in a database and partially in a 3rd-party CRM system. What APIs should be created to best fit these design requirements?
- A. One set of APIs (Experience API, Process API, and System API) for the web app, and another set for the mobile app.
- B. A Process API that contains the data required by both the web and mobile apps, allowing these applications to invoke it directly and access the data they need thereby providing the flexibility to add more fields in the future without needing API changes.
- C. Separate Experience APIs for the mobile and web app, but a common Process API that invokes separate System APIs created for the database and CRM system
- D. A common Experience API used by both the web and mobile apps, but separate Process APIs for the web and mobile apps that interact with the database and the CRM System.
Answer: C
Explanation:
Explanation
Lets analyze the situation in regards to the different options available Option : A common Experience API but separate Process APIs Analysis : This solution will not work because having common experience layer will not help the purpose as mobile and web applications will have different set of requirements which cannot be fulfilled by single experience layer API Option : Common Process API Analysis : This solution will not work because creating a common process API will impose limitations in terms of flexibility to customize API;s as per the requirements of different applications. It is not a recommended approach.
Option : Separate set of API's for both the applications Analysis : This goes against the principle of Anypoint API-led connectivity approach which promotes creating reusable assets. This solution may work but this is not efficient solution and creates duplicity of code.
Hence the correct answer is: Separate Experience APIs for the mobile and web app, but a common Process API that invokes separate System APIs created for the database and CRM system A screenshot of a computer Description automatically generated with low confidence
Lets analyze the situation in regards to the different options available Option : A common Experience API but separate Process APIs Analysis : This solution will not work because having common experience layer will not help the purpose as mobile and web applications will have different set of requirements which cannot be fulfilled by single experience layer API Option : Common Process API Analysis : This solution will not work because creating a common process API will impose limitations in terms of flexibility to customize API;s as per the requirements of different applications. It is not a recommended approach.
Option : Separate set of API's for both the applications Analysis : This goes against the principle of Anypoint API-led connectivity approach which promotes creating reusable assets. This solution may work but this is not efficient solution and creates duplicity of code.
Hence the correct answer is: Separate Experience APIs for the mobile and web app, but a common Process API that invokes separate System APIs created for the database and CRM system Diagram Description automatically generated
NEW QUESTION # 56
A manufacturing company is planning to deploy Mule applications to its own Azure Kubernetes Service infrastructure.
The organization wants to make the Mule applications more available and robust by deploying each Mule application to an isolated Mule runtime in a Docker container while managing all the Mule applications from the MuleSoft-hosted control plane.
What is the most idiomatic (used for its intended purpose) choice of runtime plane to meet these organizational requirements?
- A. Anypoint Platform Private Cloud Edition
- B. Anypoint Runtime Fabric
- C. Anypoint Service Mesh
- D. CloudHub
Answer: B
NEW QUESTION # 57
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. CSV over FTP YAM L over TLS JSON over HTTPS
- B. XML over ActiveMQ XML over SFTP XML/REST over HTTPS
- C. SOAP over HTTPS HOP over TLS gRPC over HTTPS
- D. AsyncAPI over HTTPS
AMQP with RabbitMQ JSON/REST over HTTPS
Answer: D
NEW QUESTION # 58
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 parallel for each scope to fetch the data from the backend application and use Async scope to insert the records into the Audit database
- B. Implement the Async scope fetch the data from the backend application and to insert records in the Audit database
- C. Implement a for each scope to fetch the data from the back-end application and to insert records into the Audit database
- D. 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
Answer: A
NEW QUESTION # 59
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?
- A. In-memory repeatable stream
- B. File based non-repeatable stream
- C. File based repeatable storage
- D. In-memory non repeatable stream
Answer: C
Explanation:
Explanation
As the question says that data needs to be sent across multiple sftp serves , we cannot use non-repeatable streams. The non-repeatable strategy disables repeatable streams, which enables you to read an input stream only once.
You cant use in memory storage because with 0.2 vcore you will get only 1 GB of heap memory. Hence application will error out for file more than 1 GB.
Hence the correct option is file base repeatable stream
NEW QUESTION # 60
An organization has implemented the cluster with two customer hosted Mule runtimes is hosting an application.
This application has a flow with a JMS listener configured to consume messages from a queue destination. As an integration architect can you advise which JMS listener configuration must be used to receive messages in all the nodes of the cluster?
- A. Use the parameter primaryNodeOnly= "false" on the JMS listener
- B. Use the parameter primaryNodeOnly= "true" on the JMS listener with a non*shared subscription
- C. Use the parameter primaryNodeOnly= "true" on the JMS listener
- D. Use the parameter primaryNodeOnly= "false" on the JMS listener with a shared subscription
Answer: A
NEW QUESTION # 61
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 Parallel for Each scope to Insert records one by one into the database
- B. Use a DataWeave map operation and an Async scope to insert records one by one into the database.
- C. Use a Scatter-Gather to bulk insert records into the database
- D. Use a Batch job scope to bulk insert records into the database.
Answer: D
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 # 62
An insurance company is using a CIoudHub runtime plane. As a part of requirement, email alert should be sent to internal operations team every time of policy applied to an API instance is deleted As an integration architect suggest on how this requirement be met?
- A. Implement a new application that uses the Audit log REST API to detect the policy deletion and send an email to operations team the SMTP connector
- B. Use audit logs in Anypoint platform to detect a policy deletion and configure the Audit logs alert feature to send an email to the operations team
- C. Use Anypoint monitoring to configure an alert that sends an email to the operations team every time a policy is deleted in API manager
- D. Create a custom connector to be triggered every time of policy is deleted in API manager
Answer: A
NEW QUESTION # 63
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?
- A. Use JAXB (XML) and Jackson (JSON) data bindings
- B. Use the WSS module
- C. Use the Java module
- D. Use the Transform Message component
Answer: A
NEW QUESTION # 64
A project team is working on an API implementation using the RAML definition as a starting point. The team has updated the definition to include new operations and has published a new version to exchange. Meanwhile another team is working on a mule application consuming the same API implementation.
During the development what has to be performed by the mule application team to take advantage of the newly added operations?
- A. Scaffold the client application with the new definition
- B. Scaffold API implementation application with the new definition
- C. Update the API connector in the API implementation and publish to exchange
- D. Update the REST connector from exchange in the client application
Answer: D
NEW QUESTION # 65
A company is building an application network and has deployed four Mule APIs: one experience API, one process API, and two system APIs. The logs from all the APIs are aggregated in an external log aggregation tool. The company wants to trace messages that are exchanged between multiple API implementations. What is the most idiomatic (based on its intended use) identifier that should be used to implement Mule event tracing across the multiple API implementations?
- A. DataWeave UUID
- B. Mule event ID
- C. Mule correlation ID
- D. Client's IP address
Answer: C
Explanation:
Explanation
Correct answer is Mule correlation ID By design, Correlation Ids cannot be changed within a flow in Mule 4 applications and can be set only at source. This ID is part of the Event Context and is generated as soon as the message is received by the application. When a HTTP Request is received, the request is inspected for
"X-Correlation-Id" header. If "X-Correlation-Id" header is present, HTTP connector uses this as the Correlation Id. If "X-Correlation-Id" header is NOT present, a Correlation Id is randomly generated. For Incoming HTTP Requests: In order to set a custom Correlation Id, the client invoking the HTTP request must set "X-Correlation-Id" header. This will ensure that the Mule Flow uses this Correlation Id. For Outgoing HTTP Requests: You can also propagate the existing Correlation Id to downstream APIs. By default, all outgoing HTTP Requests send "X-Correlation-Id" header. However, you can choose to set a different value to
"X-Correlation-Id" header or set "Send Correlation Id" to NEVER.
NEW QUESTION # 66
A banking company is developing a new set of APIs for its online business. One of the critical API's is a master lookup API which is a system API. This master lookup API uses persistent object store. This API will be used by all other APIs to provide master lookup data.
Master lookup API is deployed on two cloudhub workers of 0.1 vCore each because there is a lot of master data to be cached. Master lookup data is stored as a key value pair. The cache gets refreshed if they key is not found in the cache.
Doing performance testing it was observed that the Master lookup API has a higher response time due to database queries execution to fetch the master lookup data.
Due to this performance issue, go-live of the online business is on hold which could cause potential financial loss to Bank.
As an integration architect, which of the below option you would suggest to resolve performance issue?
- A. Implement HTTP caching policy for all GET endpoints for the master lookup API and implement locking to synchronize access to object store
- B. Upgrade vCore size from 0.1 vCore to 0,2 vCore
- C. Add an additional Cloudhub worker to provide additional capacity
- D. Implement HTTP caching policy for all GET endpoints for master lookup API
Answer: A
NEW QUESTION # 67
Organization wants to achieve high availability goal for Mule applications in customer hosted runtime plane.
Due to the complexity involved, data cannot be shared among of different instances of same Mule application.
What option best suits to this requirement considering high availability is very much critical to the organization?
- A. High availability can be achieved only in CloudHub
- B. The cluster can be configured
- C. Use persistent object store
- D. Use third party product to implement load balancer
Answer: D
Explanation:
Explanation
High availability is about up-time of your application
A) High availability can be achieved only in CloudHub isn't correct statement. It can be achieved in customer hosted runtime planes as well B) An object store is a facility for storing objects in or across Mule applications. Mule runtime engine (Mule) uses object stores to persist data for eventual retrieval. It can be used for disaster recovery but not for High Availability. Using object store can't guarantee that all instances won't go down at once. So not an appropriate choice.
NEW QUESTION # 68
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