Question # 1
Which productivity advantage does Anypoint Platform have to both implement and manage an AP?
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A. Automatic API proxy generation
| B. Automatic API specification generation
| C. Automatic API semantic versioning
| D. Automatic API governance
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A. Automatic API proxy generation
Explanation:
Anypoint Platform provides the productivity advantage of automatic API proxy generation. This feature enables developers to quickly create proxies for their APIs, which act as intermediaries that forward requests to the appropriate backend services. Automatic proxy generation simplifies the process of securing and managing APIs, allowing developers to enforce policies, monitor traffic, and analyze usage without having to manually configure these aspects.
References:
• API Proxies on Anypoint Platform
• Improving API Productivity with Anypoint Platform
Question # 2
According to the Internet Engineering Task Force (IETF), which supporting protocol does File Transfer Protocol (FTP) use for reliable communication?
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A. A Secure Sockets Layer (SSL)
| B. B Transmission Control Protocol (TCP)
| C. Lightweight Directory Access Protocol (LDAP)
| D. Hypertext Transfer Protocol (HTTP)
|
B. B Transmission Control Protocol (TCP)
Explanation:
The File Transfer Protocol (FTP) uses the Transmission Control Protocol (TCP) for reliable communication. TCP is one of the core protocols of the Internet Protocol Suite and provides reliable, ordered, and error-checked delivery of a stream of data between applications running on hosts communicating via an IP network. FTP relies on TCP to ensure that all data packets are delivered accurately and in the correct sequence, which is essential for the reliable transfer of files between a client and server.
References
• IETF RFC 959 - File Transfer Protocol (FTP)
• TCP/IP Protocol Suite Documentation
Question # 3
An organization will deploy Mule applications to Cloudhub, Business requirements mandate that all application logs be stored ONLY in an external splunk consolidated logging service and NOT in Cloudhub.
In order to most easily store Mule application logs ONLY in Splunk, how must Mule application logging be configured in Runtime Manager, and where should the log4j2 splunk appender be defined?
|
A. Keep the default logging configuration in RuntimeManager
Define the splunk appender in ONE global log4j.xml file that is uploaded once to Runtime Manager to support at Mule application deployments.
| B. Disable Cloudhub logging in Runtime Manager
Define the splunk appender in EACH Mule application’s log4j2.xml file
| C. Disable Cloudhub logging in Runtime Manager
Define the splunk appender in ONE global log4j.xml file that is uploaded once to Runtime Manger to support at Mule application deployments.
| D. Keep the default logging configuration in Runtime Manager
Define the Splunk appender in EACH Mule application log4j2.xml file
|
B. Disable Cloudhub logging in Runtime Manager
Define the splunk appender in EACH Mule application’s log4j2.xml file
Explanation:
By default, CloudHub replaces a Mule application's log4j2.xml file with a CloudHub log4j2.xml file. In CloudHub, you can disable the CloudHub provided Mule application log4j2 file. This allows integrating Mule application logs with custom or third-party log management systems
Question # 4
An organization is designing an integration solution to replicate financial transaction data from a legacy system into a data warehouse (DWH).
The DWH must contain a daily snapshot of financial transactions, to be delivered as a CSV file. Daily transaction volume exceeds tens of millions of records, with significant spikes in volume during popular shopping periods.
What is the most appropriate integration style for an integration solution that meets the organization's current requirements?
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A. Event-driven architecture
| B. Microservice architecture
| C. API-led connectivity
| D. Batch-triggered ETL
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D. Batch-triggered ETL
Explanation
Correct answer is Batch-triggered ETL Within a Mule application, batch processing provides a construct for asynchronously processing larger-than-memory data sets that are split into individual records. Batch jobs allow for the description of a reliable process that automatically splits up source data and stores it into persistent queues, which makes it possible to process large data sets while providing reliability. In the event that the application is redeployed or Mule crashes, the job execution is able to resume at the point it stopped.
Question # 5
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 the OLD Cloudhub worker New web client requests will RETURN AN ERROR until the Mule application is redeployed to the OLD Cloudhub worker
| B. 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
| C. 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.
| 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.
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C. 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.
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.
Question # 6
An Organization has previously provisioned its own AWS VPC hosting various servers. The organization now needs to use Cloudhub to host a Mule application that will implement a REST API once deployed to Cloudhub, this Mule application must be able to communicate securely with the customer-provisioned AWS VPC resources within the same region, without being interceptable on the public internet.
What Anypoint Platform features should be used to meet these network communication requirements between Cloudhub and the existing customer-provisioned AWS VPC?
|
A. Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC
| B. Configure an external identity provider (IDP) in Anypoint Platform with certificates from the customer provisioned AWS VPC
| C. Add a default API Whitelisting policy to API Manager to automatically whitelist the customer provisioned AWS VPC IP ranges needed by the Mule applicaton
| D. Use VM queues in the Mule application to allow any non-mule assets within the customer provisioned AWS VPC to subscribed to and receive messages
|
A. Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC
Explanation:
Correct answer is: Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC * Connecting to your Anypoint VPC extends your corporate network and allows CloudHub workers to access resources behind your corporate firewall.
* You can connect on-premises data centers through a secured VPN tunnel, or a private AWS VPC through VPC peering, or by using AWS Direct Connect.
MuleSoft Doc Reference :
https://docs.mulesoft.com/runtime-manager/virtual-private-cloud
Question # 7
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?
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A. Dealer D1 must use auto acknowledgement and dealer D2 can use manual acknowledgement and acknowledge the message after successful processing
| B. Dealer D1 can use auto acknowledgement and dealer D2 can use IMMEDIATE acknowledgement and acknowledge the message of successful processing
| C. Dealer D1 and dealer D2 must use AUTO acknowledgement and acknowledge the message after successful processing
| D. Dealer D1 can use AUTO acknowledgement and dealer D2 must use manual acknowledgement and acknowledge the message after successful processing
|
D. Dealer D1 can use AUTO acknowledgement and dealer D2 must use manual acknowledgement and acknowledge the message after successful processing
Explanation:
• Dealer D1 - AUTO Acknowledgment:
• Dealer D2 - Manual Acknowledgment:
• Ensuring Message Delivery:
References:
• MuleSoft Documentation on JMS Acknowledgment
• Best practices for Reliable Messaging
Question # 8
An IT integration delivery team begins a project by gathering all of the requirements, and proceeds to execute the remaining project activities as sequential, non-repeating phases.
Which IT project delivery methodology is this team following?
|
A. Kanban
| B. Scrum
| C. Waterfall
| D. Agile
|
C. Waterfall
Explanation:
The described approach of gathering all requirements upfront and proceeding through sequential, non-repeating phases is characteristic of the Waterfall methodology. Waterfall is a linear project management approach where each phase must be completed before the next one begins, and there is typically no going back to a previous phase once it is completed. This methodology is well-suited for projects with well-defined requirements and deliverables, but it can be inflexible if changes or new requirements arise during the project.
References:
• Waterfall Model
• Waterfall vs. Agile: Which is the Right Development Methodology for Your Project?
Question # 9
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?
|
A. In RTF-VM, install and configure the external LTM's log-forwarding agent
| B. In RTF-VM, edit the pod configuration to automatically install and configure an Anypoint Monitoring agent
| C. In each Mule application, configure custom Log4j settings
| D. In each Mule application, configure custom Log4j settings
|
A. In RTF-VM, install and configure the external LTM's log-forwarding agent
Explanation:
Reference:
[Reference: https://help.mulesoft.com/s/article/Enable-external-log-forwarding-for-Mule-applications-deployed-in-RTF, , , ]
Question # 10
According to MuleSoft, which system integration term describes the method, format, and protocol used for communication between two system?
|
A. Component
| B. interaction
| C. Message
| D. Interface
|
D. Interface
Explanation:
According to MuleSoft, the term "interface" describes the method, format, and protocol used for communication between two systems. An interface defines how systems interact, specifying the data formats (e.g., JSON, XML), protocols (e.g., HTTP, FTP), and methods (e.g., GET, POST) that are used to exchange information. Properly designed interfaces ensure compatibility and seamless communication between integrated systems.
References:
• MuleSoft Glossary of Integration Terms
• System Interfaces and APIs
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