MULESOFT-PIA practice questions 1–7

1. Question 1 · 7 in bank

   A company is modernizing its legacy systems to accelerate access to applications and data while supporting the adoption of new technologies. The key to achieving this business goal is unlocking the company's systems and data, including a set of existing services hosted on-premises that can be accessed by authorized external clients. The ГГ staff is mainly experienced only with supporting its legacy systems. Considering the current aggressive backlog and the project delivery requirements, the company wants to take a strategic approach in the first phase of its transformation projects by quickly deploying APIs in Mule runtimes that are able to scale, connect to on-premises systems, and migrate as needed. Following MuleSoft best practices, what MuleSoft runtime deployment option best meets the company's goals to begin its digital transformation journey?

   • ACustomer-hosted self-provisioned runtimes
   • BCloudHub runtimes
   • CRuntime Fabric on VMs/bare metal
   • DCustomer-hosted runtimes provisioned by a MuleSoft services partner

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   Answer: B

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2. Question 2 · 7 in bank

   A Mule solution implements an Experience API and System API as Mule applications that process messages in this order: 1. The Experience API receives a request Anypoint MQ message (REQU) with a payload containing a variable-length list of request objects. 2. The Experience API uses a For Each scope to split the list into individual objects and sends each object as a REQU_OBJECT message to an Anypoint MQ queue named REQUEST 3. The System API listens on the REQUEST queue, processes each message independently of all other messages, and sends a response message to a response queue named RESPONSE_OBJECT. The System API processing times can vary and are occasionally fairly long. 4. The Experience API listens on the RESPONSE_OBJECT queue and receives, transforms, and accumulates each response. 5. After receiving all the responses corresponding to the original REQU message, the Experience API creates and publishes a response Anypoint MQ message (RESP) to an Anypoint MQ queue named RESPONSE with a payload containing the list of responses returned by the System API, organized in the same order as the request objects originally sent in the REQU message. Assume successful response messages are returned by Experience API to the RESPONSE queue for all REQU messages. What is required so the Experience API can ensure the length and order of the list of objects in RESP and REQU match, while at the same time maximizing message throughput?

   • AAfter the For Each scope, add a second For Each scope configured with a persistent object store to collect response messages in the order in which they arrive, and then send the RESP message using this list of responses.
   • BUse a persistent object store to keep track of the list length and all object indexes in the REQU message, both in the For Each scope and in all communication involving the System API. Set the maxConcurrency parameter for the receiving flow in the Experience API to a value greater than 1.
   • CUse a Scatter-Gather within the For Each scope to ensure response message order Configure the Scatter-Gather with a persistent object store.
   • DPerform all communication involving the System API synchronously from within the For Each scope so that responses in RESPONSE_OBJECT are in the exact same order as request objects in the RESP message. Within the For Each scope, use an Async scope configured with a persistent object store.

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   Answer: B

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3. Question 3 · 7 in bank

   An insurance company is designing a hybrid, load-balanced, single-cluster runtime production environment. Due to performance Service Level Agreement (SLA) goals, it is looking into running the Mule applications in an active-active multi-node cluster configuration. What should be considered when running its Mule applications in this type of environment?

   • AAlthough the cluster environment is fully installed, configured, and running, it will not process any requests until an outage condition is detected by the primary node in the cluster
   • BA Mule application deployed to multiple nodes runs in isolation from the other nodes in the cluster
   • CAll event sources, regardless of type, can be configured as the target source by the primary node in the cluster
   • DAn external load balancer is required to distribute incoming TCP/HTTP requests throughout the cluster nodes

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   Answer: D

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4. Question 4 · 7 in bank

   A marketing organization is designing a Mule application to process campaign data. The Mule application will periodically check for a file in an SFTP location and process the records in the file. The size of the file can vary from 10MB to 5GB. Due to the limited availability of vCores, the Mule application is deployed to a single CloudHub worker/replica configured with vCore size 0.2. The application must transform and send different formats of this file to three different downstream SFTP locations. What is the most direct way to configure the SFTP operations or event sources to process the large files to support these deployment requirements?

   • AUse a file-stored repeatable stream
   • BUse a file-stored nonrepeatable stream
   • CUse an in-memory repeatable stream
   • DUse an in-memory nonrepeatable stream

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   Answer: A

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5. Question 5 · 7 in bank

   An organization has built a large monolithic application over the years and is currently looking to transition to a microservices architecture. During this transition phase, it has built some System APIs as Mule applications that provide access to different pieces of functionality of the monolithic application. The System APIs are deployed to Mule runtimes in a customer-hosted EC2 instance in AWS. The System APIs communicate directly with one database used by the monolithic application. Currently, a Database connector and configuration for that connector must be built into every project. There is a plan to partition this database into various smaller data stores in the future. What is the MuleSoft-recommended best practice to share the connector and configuration information among the APIs?

   • ABuild a separate Mule domain project for each API, and configure each of them to use a file on a shared file store to load the configuration information dynamically
   • BCreate an API proxy for each System API and share the Database connector configuration with all the API proxies via an automated policy
   • CBuild another System API that connects to the database, and refactor all the other APIs to make requests through the new System API to access the database
   • DBuild a Mule domain project, add the Database connector and configuration to it, and reference this one domain project from each System API

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   Answer: D

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6. Question 6 · 7 in bank

   An architect is designing a Mule application to meet the following two requirements: 1. The application must process files asynchronously and reliably from an FTPS server to a back-end database using VM intermediary queues for load-balancing Mule events. 2. The application must process a medium rate of records from a source to a target system using a Batch Job scope. To make the Mule application more reliable, the Mule application will be deployed to two CloudHub 1.0 workers. Following MuleSoft-recommended best practices, how should the Mule application deployment typically be configured in Runtime Manger to best support the performance and reliability goals of both the Batch Job scope and the file processing VM queues?

   • AIn the Runtime Manager Properties tab, enable persistent VM queues for the FTPS connector
   • BCheck the Non-persistent VM queues checkbox in the application deployment configuration
   • CIn the Runtime Manager Properties tab, disable persistent VM queues for Batch Job scopes
   • DCheck the Persistent VM queues checkbox in the application deployment configuration

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   Answer: D

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7. Question 7 · 7 in bank

   Refer to the exhibit.

   

   A customer is running Mule applications on Runtime Fabric for Self-Managed Kubernetes (RTF-BYOK8) in a multi-cloud environment. Based on this configuration, how do Agents and Runtime Manager communicate, and what is exchanged between them?

   • AAgents communicate with Runtime Manager to provide updates on cluster status, download images, and update Mule applications (automatically when available) from the container registry
   • BAgents communicate with Runtime Manager to provide updates on cluster status, download images, and update Mule applications (when available and chosen to do so by customer) from the container registry
   • CRuntime Manager initiates traffic to Agents to check the status of clusters and auto-deploys new images when updates to Mule applications are available
   • DRuntime Manager communicates with Agents to provide updates on cluster status, download images, and update Mule applications (when available and chosen to do so by customer) from the container registry

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   Answer: B

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MULESOFT-PIA practice, question 1. 7 questions available.