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NEW QUESTION # 22
Refer to the exhibit.
A business process involves the receipt of a file from an external vendor over SFTP. The file needs to be parsed and its content processed, validated, and ultimately persisted to a database. The delivery mechanism is expected to change in the future as more vendors send similar files using other mechanisms such as file transfer or HTTP POST.
What is the most effective way to design for these requirements in order to minimize the impact of future change?
- A. Create an API that receives the file and invokes a Process API with the data contained In the file, then have the Process API process the data using a MuleSoft Batch Job and other System APIs as needed
- B. Create a Process API to receive the file and process it using a MuleSoft Batch Job while delegating the data save process to a System API
- C. Use a composite data source so files can be retrieved from various sources and delivered to a MuleSoft Batch Job for processing
- D. Use a MuleSoft Scatter-Gather and a MuleSoft Batch Job to handle the different files coming from different sources
Answer: A
NEW QUESTION # 23
A Mule application contains a Batch Job with two Batch Steps (Batch_Step_l and Batch_Step_2). A payload with 1000 records is received by the Batch Job.
How many threads are used by the Batch Job to process records, and how does each Batch Step process records within the Batch Job?
- A. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and RECORDS are processed IN PARALLEL within and between the two Batch Steps
- B. Each Batch Job uses a SINGLE THREAD to process a configured block size of record Each Batch Step instance receives A BLOCK OF records as the payload, and BLOCKS of records are processed IN ORDER
- C. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and BATCH STEP INSTANCES execute IN PARALLEL to process records and Batch Steps in ANY order as fast as possible
- D. Each Batch Job uses a SINGLE THREAD for all Batch steps Each Batch step instance receives ONE record at a time as the payload, and RECORDS are processed IN ORDER, first through Batch_Step_l and then through Batch_Step_2
Answer: A
Explanation:
* Each Batch Job uses SEVERAL THREADS for the Batch Steps
* Each Batch Step instance receives ONE record at a time as the payload. It's not received in a block, as it does not wait for multiple records to be completed before moving to next batch step. (So Option D is out of choice)
* RECORDS are processed IN PARALLEL within and between the two Batch Steps.
* RECORDS are not processed in order. Let's say if second record completes batch_step_1 before record 1, then it moves to batch_step_2 before record 1. (So option C and D are out of choice)
* A batch job is the scope element in an application in which Mule processes a message payload as a batch of records. The term batch job is inclusive of all three phases of processing: Load and Dispatch, Process, and On Complete.
* A batch job instance is an occurrence in a Mule application whenever a Mule flow executes a batch job. Mule creates the batch job instance in the Load and Dispatch phase. Every batch job instance is identified internally using a unique String known as batch job instance id.
NEW QUESTION # 24
According to MuleSoft, what is a major distinguishing characteristic of an application network in relation to the integration of systems, data, and devices?
- A. It uses CI/CD automation for real-time project delivery
- B. It leverages well-accepted internet standards like HTTP and JSON
- C. It is built for change and self-service
- D. It uses a well-organized monolithic approach with standards
Answer: C
NEW QUESTION # 25
As a part of business requirement , old CRM system needs to be integrated using Mule application. CRM system is capable of exchanging data only via SOAP/HTTP protocol. As an integration architect who follows API led approach , what is the the below step you will perform so that you can share document with CRM team?
- A. Create SOAP API specification using Design Center
- B. Create WSDL specification using text editor
- C. Create RAML specification using Design Center
- D. Create WSDL specification using Design Center
Answer: B
Explanation:
Correct answer is Create WSDL specification using text editor SOAP services are specified using WSDL. A client program connecting to a web service can read the WSDL to determine what functions are available on the server. We can not create WSDL specification in Design Center. We need to use external text editor to create WSDL.
NEW QUESTION # 26
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. Import from API designer, compile, package, unit test, deploy, publish to Anypoint Exchange
- D. Compile, package, unit test, deploy, create associated API instances in API Manager
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 # 27
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. AnypointCLI
- B. Anypoint platform REST API's
- C. Mule maven plug-in
- D. Directly uploading ajar file from the Runtime manager
Answer: C
NEW QUESTION # 28
Refer to the exhibit.
A Mule application is being designed to be deployed to several CIoudHub workers. The Mule application's integration logic is to replicate changed Accounts from Satesforce to a backend system every 5 minutes.
A watermark will be used to only retrieve those Satesforce Accounts that have been modified since the last time the integration logic ran.
What is the most appropriate way to implement persistence for the watermark in order to support the required data replication integration logic?
- A. Persistent Object Store
- B. Persistent Cache Scope
- C. Persistent VM Queue
- D. Persistent Anypoint MQ Queue
Answer: A
NEW QUESTION # 29
A new Mule application under development must implement extensive data transformation logic. Some of the data transformation functionality is already available as external transformation services that are mature and widely used across the organization; the rest is highly specific to the new Mule application.
The organization follows a rigorous testing approach, where every service and application must be extensively acceptance tested before it is allowed to go into production.
What is the best way to implement the data transformation logic for this new Mule application while minimizing the overall testing effort?
- A. Implement and expose all transformation logic as mlaoservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application
- B. Implement transformation logic in the new Mute application using DataWeave, invoking existing transformation services when possible
- C. Implement transformation logic in the new Mute application using DataWeave, replicating the transformation logic of existing transformation services
- D. Extend the existing transformation services with new transformation logic and Invoke them from the new Mule application
Answer: B
NEW QUESTION # 30
Refer to the exhibit.
An organization deploys multiple Mule applications to the same customer -hosted Mule runtime. Many of these Mule applications must expose an HTTPS endpoint on the same port using a server-side certificate that rotates often.
What is the most effective way to package the HTTP Listener and package or store the server-side certificate when deploying these Mule applications, so the disruption caused by certificate rotation is minimized?
- A. Package an HTTPS Listener configuration In all Mule APPLICATIONS that need to expose an HTTPS endpoint Package the server-side certificate in a NEW Mule DOMAIN project
- B. Package the HTTPS Listener configuration in a Mule DOMAIN project, referencing it from all Mule applications that need to expose an HTTPS endpoint Package the server-side certificate in ALL Mule APPLICATIONS that need to expose an HTTPS endpoint
- C. Package the HTTPS Listener configuration in a Mule DOMAIN project, referencing it from all Mule applications that need to expose an HTTPS endpoint Store the server-side certificate in a shared filesystem location in the Mule runtime's classpath, OUTSIDE the Mule DOMAIN or any Mule APPLICATION
- D. Package the HTTPS Listener configuration in a MuleDOMAIN project, referencing It from all Mule applications that need to expose an HTTPS endpoint Package the server-side certificatein the SAME Mule DOMAIN projectGo to Set
Answer: C
NEW QUESTION # 31
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. Scatter-Gather component On Error Continue scope
- B. Async scope On Error Propagate scope
- C. VM connector first Successful scope On Error Propagate scope
- D. For Each scope On Error Continue scope
Answer: D
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 # 32
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 both the application name and 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 chosen, IRRESPECTIVE of the region
- D. The FQDNs are determined by the application name, but can be modified by an administrator after deployment
Answer: A
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 # 33
An XA transaction Is being configured that involves a JMS connector listening for Incoming JMS messages. What is the meaning of the timeout attribute of the XA transaction, and what happens after the timeout expires?
- A. The time that is allowed to pass between committing the transaction and the completion of the Mule flow After the timeout, flow processing triggers an error
- B. The time that Is allowed to pass without the transaction being ended explicitly After the timeout, the transaction Is forcefully rolled-back
- C. The time that Is allowed to pass between receiving JMS messages on the same JMS connection After the timeout, a new JMS connection Is established
- D. The time that Is allowed to pass for state JMS consumer threads to be destroyed After the timeout, a new JMS consumer thread is created
Answer: B
Explanation:
* Setting a transaction timeout for the Bitronix transaction manager
* Set the transaction timeout either
- In wrapper.conf
- In CloudHub in the Properties tab of the Mule application deployment
* The default is 60 secs. It is defined as
mule.bitronix.transactiontimeout = 120
* This property defines the timeout for each transaction created for this manager.
If the transaction has not terminated before the timeout expires it will be automatically rolled back.
--------------------------------------------------------------------------------------------------------------------- Additional Info around Transaction Management:
Bitronix is available as the XA transaction manager for Mule applications
* To use Bitronix, declare it as a global configuration element in the Mule application
<bti:transaction-manager />
* Each Mule runtime can have only one instance of a Bitronix transaction manager, which is shared by all Mule applications
* For customer-hosted deployments, define the XA transaction manager in a Mule domain
- Then share this global element among all Mule applications in the Mule runtime
NEW QUESTION # 34
An organization is creating a set of new services that are critical for their business. The project team prefers using REST for all services but is willing to use SOAP with common WS-" standards if a particular service requires it.
What requirement would drive the team to use SOAP/WS-* for a particular service?
- A. Must use XML payloads for the service and ensure that it adheres to a specific schema
- B. Must secure the service, requiring all consumers to submit a valid SAML token
- C. Must publish and share the service specification (including data formats) with the consumers of the service
- D. Must support message acknowledgement and retry as part of the protocol
Answer: B
NEW QUESTION # 35
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?
- A. Request size, number of requests, JDBC Select operation response time
- B. Request size, number of requests, response size, response time
- C. Request size, request HTTP verbs, response time
- D. Request size, number of requests, JDBC Select operation result set size
Answer: B
Explanation:
Correct answer is Request size, number of requests, response size, response time Analytics API Analytics can provide insight into how your APIs are being used and how they are performing. From API Manager, you can access the Analytics dashboard, create a custom dashboard, create and manage charts, and create reports. From API Manager, you can get following types of analytics: - API viewing analytics - API events analytics - Charted metrics in API Manager It can be accessed using: http://anypoint.mulesoft.com/analytics API Analytics provides a summary in chart form of requests, top apps, and latency for a particular duration.
The custom dashboard in Anypoint Analytics contains a set of charts for a single API or for all APIs Each chart displays various API characteristics
- Requests size: Line chart representing size of requests in KBs
- Requests : Line chart representing number of requests over a period
- Response size : Line chart representing size of response in KBs
- Response time :Line chart representing response time in ms
* To check this, You can go to API Manager > Analytics > Custom Dashboard > Edit Dashboard > Create Chart > Metric
Reference:
Additional Information:
The default dashboard contains a set of charts
- Requests by date: Line chart representing number of requests
- Requests by location: Map chart showing the number of requests for each country of origin
- Requests by application: Bar chart showing the number of requests from each of the top five registered applications
- Requests by platform: Ring chart showing the number of requests broken down by platform
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. OpenAPI Specification (OAS)
- B. YAML
- C. Web Service Definition Language(WSDL)
- D. AsyncAPI Specification
Answer: B
NEW QUESTION # 37
Which Mulesoft feature helps users to delegate their access without sharing sensitive credentials or giving full control of accounts to 3rd parties?
- A. Secure Scheme
- B. Certificates
- C. client id enforcement policy
- D. Connected apps
Answer: D
Explanation:
Connected Apps
The Connected Apps feature provides a framework that enables an external application to integrate with Anypoint Platform using APIs through OAuth 2.0 and OpenID Connect. Connected apps help users delegate their access without sharing sensitive credentials or giving full control of their accounts to third parties. Actions taken by connected apps are audited, and users can also revoke access at any time. Note that some products do not currently include client IDs in this release of the Connected Apps feature. The Connected Apps feature enables you to use secure authentication protocols and control an app's access to user data. Additionally, end users can authorize the app to access their Anypoint Platform data.
Mule Ref Doc : https://docs.mulesoft.com/access-management/connected-apps-overview
NEW QUESTION # 38
In a Mule Application, a flow contains two (2) JMS consume operations that are used to connect to a JMS broker and consume messages from two(2) JMS destination. The Mule application then joins the two JMS messages together.
The JMS broker does not implement high availability (HA) and periodically experiences scheduled outages of upto 10 mins for routine maintenance.
What is the most idiomatic (used for its intented purpose) way to build the mule flow so it can best recover from the expected outages?
- A. Enclose the two(2) JMS operations in a Try scope with an Error Continue error handler
- B. Consider a transaction for the JMS connector
- C. Enclose the two(2) JMS operation in an Until Successful scope
- D. Configure a reconnection strategy for the JMS connector
Answer: D
Explanation:
When an operation in a Mule application fails to connect to an external server, the default behavior is for the operation to fail immediately and return a connectivity error. You can modify this default behavior by configuring a reconnection strategy for the operation. You can configure a reconnection strategy for an operation either by modifying the operation properties or by modifying the configuration of the global element for the operation. The following are the available reconnection strategies and their behaviors: None Is the default behavior, which immediately returns a connectivity error if the attempt to connect is unsuccessful Standard (reconnect) Sets the number of reconnection attempts and the interval at which to execute them before returning a connectivity error Forever (reconnect-forever) Attempts to reconnect continually at a given interval
NEW QUESTION # 39
A team would like to create a project skeleton that developers can use as a starting point when creating API Implementations with Anypoint Studio. This skeleton should help drive consistent use of best practices within the team.
What type of Anypoint Exchange artifact(s) should be added to Anypoint Exchange to publish the project skeleton?
- A. a Mule application template with the key components and minimal integration logic
- B. An example of an API implementation following best practices
- C. A RAML archetype and reusable trait definitions to be reused across API implementations
- D. A custom asset with the default API implementation
Answer: A
Explanation:
* Sharing Mule applications as templates is a great way to share your work with other people who are in your organization in Anypoint Platform. When they need to build a similar application they can create the mule application using the template project from Anypoint studio.
* Anypoint Templates are designed to make it easier and faster to go from a blank canvas to a production application. They're bit for bit Mule applications requiring only Anypoint Studio to build and design, and are deployable both on-premises and in the cloud.
* Anypoint Templates are based on five common data Integration patterns and can be customized and extended to fit your integration needs. So even if your use case involves different endpoints or connectors than those included in the template, they still offer a great starting point.
Some of the best practices while creating the template project: - Define the common error handler as part of template project, either using pom dependency or mule config file - Define common logger/audit framework as part of the template project - Define the env specific properties and secure properties file as per the requirement - Define global.xml for global configuration - Define the config file for connector configuration like Http,Salesforce,File,FTP etc - Create separate folders to create DWL,Properties,SSL certificates etc - Add the dependency and configure the pom.xml as per the business need - Configure the mule-artifact.json as per the business need
NEW QUESTION # 40
An organization currently uses a multi-node Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications. The organization is planning to transition to a deployment model based on Docker containers in a Kubernetes cluster. The organization has already created a standard Docker image containing a Mule runtime and all required dependencies (including a JVM), but excluding the Mule application itself.
What is an expected outcome of this transition to container-based Mule application deployments?
- A. Required migration to the Docker and Kubernetes-based Anypoint Platform - Private Cloud Edition
- B. Required change to the URL endpoints used by clients to send requests to the Mule applications
- C. Guaranteed consistency of execution environments across all deployments of a Mule application
- D. Required redesign of Mule applications to follow microservice architecture principles
Answer: D
Explanation:
* Organization can continue using existing load balancer even if backend application changes are there. So option A is ruled out.
* As Mule runtime is within their datacenter, this model is RTF and not PCE. So option C is ruled out.
Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications -- This mean PCE or Hybird not RTF - Also mentioned in Question is that - Mule runtime is hosting several Mule Application, so that also rules out RTF and as for hosting multiple Application it will have Domain project which need redesign to make it microservice architecture
--------------------------------------------------------------------------------------------------------------- Correct answer: Required redesign of Mule applications to follow microservice architecture principles
NEW QUESTION # 41
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