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NEW QUESTION # 129
Refer to the exhibit.
A Mule application is deployed to a multi-node Mule runtime cluster. The Mule application uses the competing consumer pattern among its cluster replicas to receive JMS messages from a JMS queue. To process each received JMS message, the following steps are performed in a flow:
Step l: The JMS Correlation ID header is read from the received JMS message.
Step 2: The Mule application invokes an idempotent SOAP webservice over HTTPS, passing the JMS Correlation ID as one parameter in the SOAP request.
Step 3: The response from the SOAP webservice also returns the same JMS Correlation ID.
Step 4: The JMS Correlation ID received from the SOAP webservice is validated to be identical to the JMS Correlation ID received in Step 1.
Step 5: The Mule application creates a response JMS message, setting the JMS Correlation ID message header to the validated JMS Correlation ID and publishes that message to a response JMS queue.
Where should the Mule application store the JMS Correlation ID values received in Step 1 and Step 3 so that the validation in Step 4 can be performed, while also making the overall Mule application highly available, fault-tolerant, performant, and maintainable?
- A. Both Correlation ID values should be stored as Mule event vanabtes/attnbutes
- B. Both Correlation ID values should be stored In a non-persistent object store
- C. The Correlation ID value in Step 1 should be stored in a persistent object store The Correlation ID value in step 3 should be stored as a Mule event vanable/attnbute
- D. Both Correlation ID values should be stored in a persistent object store
Answer: C
NEW QUESTION # 130
A Mule application currently writes to two separate SQL Server database instances across the internet using a single XA transaction. It is 58. proposed to split this one transaction into two separate non-XA transactions with no other changes to the Mule application.
What non-functional requirement can be expected to be negatively affected when implementing this change?
- A. Availability
- B. Consistency
- C. Throughput
- D. Response time
Answer: B
Explanation:
Correct answer is Consistency as XA transactions are implemented to achieve this. XA transactions are added in the implementation to achieve goal of ACID properties. In the context of transaction processing, the acronym ACID refers to the four key properties of a transaction: atomicity, consistency, isolation, and durability. Atomicity : All changes to data are performed as if they are a single operation. That is, all the changes are performed, or none of them are. For example, in an application that transfers funds from one account to another, the atomicity property ensures that, if a debit is made successfully from one account, the corresponding credit is made to the other account. Consistency : Data is in a consistent state when a transaction starts and when it ends.For example, in an application that transfers funds from one account to another, the consistency property ensures that the total value of funds in both the accounts is the same at the start and end of each transaction. Isolation : The intermediate state of a transaction is invisible to other transactions. As a result, transactions that run concurrently appear to be serialized. For example, in an application that transfers funds from one account to another, the isolation property ensures that another transaction sees the transferred funds in one account or the other, but not in both, nor in neither. Durability :
After a transaction successfully completes, changes to data persist and are not undone, even in the event of a system failure. For example, in an application that transfers funds from one account to another, the durability property ensures that the changes made to each account will not be reversed. MuleSoft reference:
https://docs.mulesoft.com/mule-runtime/4.3/xa-transactions
NEW QUESTION # 131
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
--------------------------------------------------------------------------------------------------------------- Required redesign of Mule applications to follow microservice architecture principles
NEW QUESTION # 132
Additional nodes are being added to an existing customer-hosted Mule runtime cluster to improve performance. Mule applications deployed to this cluster are invoked by API clients through a load balancer.
What is also required to carry out this change?
- A. New firewall rules must be configured to accommodate communication between API clients and the new nodes
- B. External monitoring tools or log aggregators must be configured to recognize the new nodes
- C. A new load balancer must be provisioned to allow traffic to the new nodes in a round-robin fashion
- D. API implementations using an object store must be adjusted to recognize the new nodes and persist to them
Answer: B
Explanation:
* Clustering is a group of servers or mule runtime which acts as a single unit.
* Mulesoft Enterprise Edition supports scalable clustering to provide high availability for the Mulesoft application.
* In simple terms, virtual servers composed of multiple nodes and they communicate and share information through a distributed shared memory grid.
* By default, Mulesoft ensures the High availability of applications if clustering implemented.
* Let's consider the scenario one of the nodes in cluster crashed or goes down and under maintenance. In such cases, Mulesoft will ensure that requests are processed by other nodes in the cluster. Mulesoft clustering also ensures that the request is load balanced between all the nodes in a cluster.
* Clustering is only supported by on-premise Mule runtime and it is not supported in Cloudhub.
Correct answer is External monitoring tools or log aggregators must be configured to recognize the new nodes
* Rest of the options are automatically taken care of when a new node is added in cluster.
Reference:
NEW QUESTION # 133
An Order microservice and a Fulfillment microservice are being designed to communicate with their dients through message-based integration (and NOT through API invocations).
The Order microservice publishes an Order message (a kind of command message) containing the details of an order to be fulfilled. The intention is that Order messages are only consumed by one Mute application, the Fulfillment microservice.
The Fulfilment microservice consumes Order messages, fulfills the order described therein, and then publishes an OrderFulfilted message (a kind of event message). Each OrderFulfilted message can be consumed by any interested Mule application, and the Order microservice is one such Mute application.
What is the most appropriate choice of message broker(s) and message destination(s) in this scenario?
- A. O Order messages are sent to an Anypoint MQ exchange
OrderFulfilted messages are sent to an Anypoint MQ queue
Both microservices interact with Anypoint MQ as the message broker, which must therefore scale to support the toad of both microservices - B. Order messages are sent to a JMS queueOrderFulfilled messages are sent to a JMS topic The Order microservice Interacts with one JMS provider (message broker) and the Fulfillment microservice interacts with a different JMS provider, so that both message brokers can be chosen and scaled to best support the load of each microservice
- C. Order messages are sent to a JMS queueOrderFulfilled messages are sent to a JMS topicBoth microservices Interact with the same JMS provider (message broker) Instance, which must therefore scale to support the load of both microservices
- D. Older messages are sent directly to the Fulfillment microservices
OrderFulfilled messages are sent directly to the Order microservice
The Order microserviceInteracts with one AMQP-compatible message broker and the Fulfillment microservice Interactswith a different AMQP-compatible message broker, so that both message brokers can be chosen and scaled to best support the toad each microservice
Answer: C
NEW QUESTION # 134
What is true about the network connections when a Mule application uses a JMS connector to interact with a JMS provider (message broker)?
- A. To receive messages into the Mule application, the JMS provider initiates a network connection to the JMS connector and pushes messages along this connection
- B. The AMQP protocol can be used by the JMS connector to portably establish connections to various types of JMS providers
- C. The JMS connector supports both sending and receiving of JMS messages over the protocol determined by the JMS provider
- D. To complete sending a JMS message, the JMS connector must establish a network connection with the JMS message recipient
Answer: C
Explanation:
* To send message or receive JMS (Java Message Service) message no separate network connection need to be established. So option A, C and D are ruled out.
Correct: The JMS connector supports both sending and receiving of JMS
* JMS Connector enables sending and receiving messages to queues and topics for any message service that implements the JMS specification.
* JMS is a widely used API for message-oriented middleware.
* It enables the communication between different components of a distributed application to be loosely coupled, reliable, and asynchronous.
MuleSoft Doc Reference: https://docs.mulesoft.com/jms-connector/1.7/
NEW QUESTION # 135
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. Enterprise Security module coded in Mule applications
- B. External access configured in API Manager
- C. Client management configured in access management
- D. Identity management configured in access management
Answer: D
NEW QUESTION # 136
Refer to the exhibit.
One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make. Both the backend system and the API implementation are deployed to several non-production environments in addition to production.
Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.
What is the most effective approach to conduct performance tests of the API implementation in astaging (non-production) environment?
- A. Include logic within the API implementation that bypasses invocations of the backend system in a performance test situation.Instead invoking local stubs that replicate typical backend system responses then conduct performance tests using this API Implementation
- B. Conduct scaled-down performance tests in the staging environment againstthe rate limited backend system then upscale performance results to full production scale
- C. Create a mocking service that replicates the backend system's production performance characteristics.Then configure the API implementation to use the mocking service and conduct the performance tests
- D. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
Answer: B
NEW QUESTION # 137
What aspect of logging is only possible for Mule applications deployed to customer-hosted Mule runtimes, but NOT for Mule applications deployed to CloudHub?
- A. To directly reference one shared and customized log4j2.xml file from multiple Mule applications
- B. To log certain messages to a custom log category
- C. To change tog4j2 tog levels in Anypoint Runtime Manager without having to restart the Mule application
- D. To send Mule application log entries to Splunk
Answer: A
Explanation:
* Correct answer is To directly reference one shared and customized log4j2.xml file from multiple Mule applications. Key word to note in the answer is directly.
* By default, CloudHub replaces a Mule application's log4j2.xml file with a CloudHub log4j2.xml file. This specifies the CloudHub appender to write logs to the CloudHub logging service.
* You cannot modify CloudHub log4j2.xml file to add any custom appender. But there is a process in order to achieve this. You need to raise a request on support portal to disable CloudHub provided Mule application log4j2 file.
* Once this is done , Mule application's log4j2.xml file is used which you can use to send/export application logs to other log4j2 appenders, such as a custom logging system MuleSoft does not own any responsibility for lost logging data due to misconfiguration of your own log4j appender if it happens by any chance.
* One more difference between customer-hosted Mule runtimes and CloudHub deployed mule instance is that
- CloudHub system log messages cannot be sent to external log management system without installing custom CH logging configuration through support
- where as Customer-hosted runtime can send system and application log to external log management system MuleSoft Reference:
https://docs.mulesoft.com/runtime-manager/viewing-log-data
https://docs.mulesoft.com/runtime-manager/custom-log-appender
NEW QUESTION # 138
Which Exchange asset type represents a complete API specification in RAML or OAS format?
- A. SOAP APIs
- B. API Spec Fragments
- C. Connectors
- D. REST APIs
Answer: D
Explanation:
In MuleSoft's Anypoint Exchange, a complete API specification in RAML (RESTful API Modeling Language) or OAS (OpenAPI Specification) format is represented as a "REST API". This asset type provides a comprehensive description of the API, including endpoints, methods, request/response structures, and other relevant details. It serves as the blueprint for implementing and consuming the API, ensuring that all stakeholders have a clear understanding of its functionality and design.
Other asset types like connectors, API spec fragments, and SOAP APIs represent different components or partial specifications, but only REST APIs provide the full specification in the mentioned formats.
References
* MuleSoft Anypoint Exchange Documentation
* API Specification Documentation on RAML and OAS
NEW QUESTION # 139
A Mule application is being designed to do the following:
Step 1: Read a SalesOrder message from a JMS queue, where each SalesOrder consists of a header and a list of SalesOrderLineltems.
Step 2: Insert the SalesOrder header and each SalesOrderLineltem into different tables in an RDBMS.
Step 3: Insert the SalesOrder header and the sum of the prices of all its SalesOrderLineltems into a table In a different RDBMS.
No SalesOrder message can be lost and the consistency of all SalesOrder-related information in both RDBMSs must be ensured at all times.
What design choice (including choice of transactions) and order of steps addresses these requirements?
- A. 1- Read the JMS message (NOT in an XA transaction)
2. Perform EACH DB insert in a SEPARATE DB transaction
3. Acknowledge the JMS message - B. 1. Read and acknowledge the JMS message (NOT in an XA transaction)
2. In a NEW XA transaction, perform BOTH DB inserts - C. 1. Read the JMS message (NOT in an XA transaction)
2. Perform BOTH DB inserts in ONE DB transaction
3. Acknowledge the JMS message - D. 1. Read the JMS message in an XA transaction
2. In the SAME XA transaction, perform BOTH DB inserts but do NOT acknowledge the JMS message
Answer: D
NEW QUESTION # 140
An insurance company has an existing API which is currently used by customers. API is deployed to customer hosted Mule runtime cluster. The load balancer that is used to access any APIs on the mule cluster is only configured to point to applications hosted on the server at port 443.
Mule application team of a company attempted to deploy a second API using port 443 but the application will not start and checking logs shows an error indicating the address is already in use.
Which steps must the organization take to resolve this error and allow customers to access both the API's?
- A. Set the HTTP listener of the second API to use different port than the one used in the first API
- B. Set HTTP listener configuration in both API's to allow for connections from multiple ports
- C. Change the base path of the HTTP listener configuration in the second API to a different one from the first API
- D. Move the HTTP listener configurations from the API's and package them in a mule domain project using port 443
Answer: D
Explanation:
When multiple Mule applications need to listen on the same port (e.g., port 443), configuring them individually will cause a conflict because only one application can bind to a specific port on a server at a time.
To resolve this, you can use a Mule domain project, which allows multiple Mule applications to share configurations, including HTTP listeners. Here's how you can do it:
* Create a Mule Domain Project:
* In Anypoint Studio, create a new Mule Domain Project.
* This project will contain shared resources that can be used by multiple Mule applications.
* Configure the Shared HTTP Listener:
* Define the HTTP Listener configuration in the domain project.
<http:listener-config name="Shared_HTTPS_Listener" doc:name="HTTP Listener Configuration" >
<http:listener-connection host="0.0.0.0" port="443"/> </http:listener-config>
* Reference the Shared HTTP Listener in Mule Applications:
* In each Mule application that needs to use port 443, reference the shared HTTP Listener configuration from the domain project.
<http:listener-config name="Shared_HTTPS_Listener" doc:name="HTTP Listener Configuration" >
<http:listener-connection host="0.0.0.0" port="443" domain="my-domain-project"/> </http:listener-config>
* Deploy the Domain Project and Applications:
* Deploy the domain project to the Mule runtime first.
* Then deploy the Mule applications that reference the shared HTTP Listener configuration.
By using a domain project to centralize the HTTP listener configuration, you ensure that both APIs can listen on port 443 without conflicts, allowing customers to access both APIs through the same port.
References
* MuleSoft Documentation: Domain Projects
* MuleSoft Documentation: HTTP Listener Configuration
NEW QUESTION # 141
A global, high-volume shopping Mule application is being built and will be deployed to CloudHub. To improve performance, the Mule application uses a Cache scope that maintains cache state in a CloudHub object store. Web clients will access the Mule application over HTTP from all around the world, with peak volume coinciding with business hours in the web client's geographic location. To achieve optimal performance, what Anypoint Platform region should be chosen for the CloudHub object store?
- A. Choose a region that is the traffic-weighted geographic center of all web clients
- B. Choose the geographically closest available region for each web client
- C. Choose the US-West region, the only supported region for CloudHub object stores
- D. Choose the same region as to where the Mule application is deployed
Answer: D
Explanation:
*Explanation:
CloudHub object store should be in same region where the Mule application is deployed. This will give optimal performance.
Before learning about Cache scope and object store in Mule 4 we understand what is in general Caching is and other related things.
WHAT DOES "CACHING" MEAN?
Caching is the process of storing frequently used data in memory, file system or database which saves processing time and load if it would have to be accessed from original source location every time.
In computing, a cache is a high-speed data storage layer which stores a subset of data, so that future requests for that data are served up faster than is possible by accessing the data's primary storage location. Caching allows you to efficiently reuse previously retrieved or computed data.
How does Caching work?
The data in a cache is generally stored in fast access hardware such as RAM (Random-access memory) and may also be used in correlation with a software component. A cache's primary purpose is to increase data retrieval performance by reducing the need to access the underlying slower storage layer.
Caching in MULE 4
In Mule 4 caching can be achieved in mule using cache scope and/or object-store. Cache scope internally uses Object Store to store the data.
What is Object Store
Object Store lets applications store data and states across batch processes, Mule components, and applications, from within an application. If used on cloud hub, the object store is shared between applications deployed on Cluster.
Cache Scope is used in below-mentioned cases:
* Need to store the whole response from the outbound processor
* Data returned from the outbound processor does not change very frequently
* As Cache scope internally handle the cache hit and cache miss scenarios it is more readable Object Store is used in below-mentioned cases:
* Need to store custom/intermediary data
* To store watermarks
* Sharing the data/stage across applications, schedulers, batch.
If CloudHub object store is in same region where the Mule application is deployed it will aid in fast access of data and give optimal performance.
NEW QUESTION # 142
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 NOT need to be rewritten
DevOps MUST STILL manage port conflicts - 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 NO need to be rewritten
DevOps NO LONGER needs to manage port conflicts between the Mule applications.
Answer: A
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 # 143
Refer to the exhibit.
A Mule application is deployed to a cluster of two customer-hosted Mute runtimes. The Mute application has a flow that polls a database and another flow with an HTTP Listener.
HTTP clients send HTTP requests directly to individual cluster nodes.
What happens to database polling and HTTP request handling in the time after the primary (master) node of the cluster has railed, but before that node is restarted?
- A. Database polling continues Only HTTP requests sent to the remaining node continue to be accepted
- B. Database polling stops All HTTP requests are rejected
- C. Database polling continues All HTTP requests continue to be accepted, but requests to the failed node Incur increased latency
- D. Database polling stops All HTTP requests continue to be accepted
Answer: A
Explanation:
Correct answer is Database polling continues Only HTTP requests sent to the remaining node continue to be accepted. Explanation: : Architecture descripted in the question could be described as follows.When node 1 is down , DB polling will still continue via node 2 . Also requests which are coming directly to node 2 will also be accepted and processed in BAU fashion. Only thing that wont work is when requests are sent to Node 1 HTTP connector. The flaw with this architecture is HTTP clients are sending HTTP requests directly to individual cluster nodes. By default, clustering Mule runtime engines ensures high system availability. If a Mule runtime engine node becomes unavailable due to failure or planned downtime, another node in the cluster can assume the workload and continue to process existing events and messages
NEW QUESTION # 144
What API policy would LEAST likely be applied to a Process API?
- A. Rate limiting
- B. Custom circuit breaker
- C. Client ID enforcement
- D. JSON threat protection
Answer: D
Explanation:
Key to this question lies in the fact that Process API are not meant to be accessed directly by clients. Lets analyze options one by one. Client ID enforcement : This is applied at process API level generally to ensure that identity of API clients is always known and available for API-based analytics Rate Limiting : This policy is applied on Process Level API to secure API's against degradation of service that can happen in case load received is more than it can handle Custom circuit breaker : This is also quite useful feature on process level API's as it saves the API client the wasted time and effort of invoking a failing API. JSON threat protection :
This policy is not required at Process API and rather implemented as Experience API's. This policy is used to safeguard application from malicious attacks by injecting malicious code in JSON object. As ideally Process API's are never called from external world , this policy is never used on Process API's Hence correct answer is JSON threat protection MuleSoft Documentation Reference :
https://docs.mulesoft.com/api-manager/2.x/policy-mule3-json-threat
NEW QUESTION # 145
Refer to the exhibit.
Anypoint Platform supports role-based access control (RBAC) to features of the platform. An organization has configured an external Identity Provider for identity management with Anypoint Platform.
What aspects of RBAC must ALWAYS be controlled from the Anypoint Platform control plane and CANNOT be controlled via the external Identity Provider?
- A. Removing a user's access to Anypoint Platform when they no longer work for the organization
- B. Controlling the business group within Anypoint Platform to which the user belongs
- C. Assigning Anypoint Platform role(s) to a user
- D. Assigning Anypoint Platform permissions to a role
Answer: D
NEW QUESTION # 146
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. Upgrade vCore size from 0.1 vCore to 0,2 vCore
- B. Add an additional Cloudhub worker to provide additional capacity
- C. Implement HTTP caching policy for all GET endpoints for the master lookup API and implement locking to synchronize access to object store
- D. Implement HTTP caching policy for all GET endpoints for master lookup API
Answer: C
NEW QUESTION # 147
A Mule application is being designed to do the following:
Step 1: Read a SalesOrder message from a JMS queue, where each SalesOrder consists of a header and a list of SalesOrderLineltems.
Step 2: Insert the SalesOrder header and each SalesOrderLineltem into different tables in an RDBMS.
Step 3: Insert the SalesOrder header and the sum of the prices of all its SalesOrderLineltems into a table In a different RDBMS.
No SalesOrder message can be lost and the consistency of all SalesOrder-related information in both RDBMSs must be ensured at all times.
What design choice (including choice of transactions) and order of steps addresses these requirements?
- A. 1) Read the JMS message in an XA transaction
2) In the SAME XA transaction, perform BOTH DB inserts but do NOT acknowledge the JMS message - B. 1) Read and acknowledge the JMS message (NOT in an XA transaction)
2) In a NEW XA transaction, perform BOTH DB inserts - C. 1) Read the JMS message (NOT in an XA transaction)
2) Perform EACH DB insert in a SEPARATE DB transaction
3) Acknowledge the JMS message - D. 1) Read the JMS message (NOT in an XA transaction)
2) Perform BOTH DB inserts in ONE DB transaction
3) Acknowledge the JMS message
Answer: D
Explanation:
* Option A says "Perform EACH DB insert in a SEPARATE DB transaction". In this case if first DB insert is successful and second one fails then first insert won't be rolled back causing inconsistency. This option is ruled out.
* Option D says Perform BOTH DB inserts in ONE DB transaction.
Rule of thumb is when one or more DB connections are required we must use XA transaction as local transactions support only one resource. So this option is also ruled out.
* Option B acknowledges the before DB processing, so message is removed from the queue. In case of system failure at later point, message can't be retrieved.
* Option C is Valid: Though it says "do not ack JMS message", message will be auto acknowledged at the end of transaction. Here is how we can ensure all components are part of XA transaction: https://docs.mulesoft.com/jms-connector/1.7/jms-transactions Additional Information about transactions:
* XA Transactions - You can use an XA transaction to group together a series of operations from multiple transactional resources, such as JMS, VM or JDBC resources, into a single, very reliable, global transaction.
* The XA (eXtended Architecture) standard is an X/Open group standard which specifies the interface between a global transaction manager and local transactional resource managers.
The XA protocol defines a 2-phase commit protocol which can be used to more reliably coordinate and sequence a series of "all or nothing" operations across multiple servers, even servers of different types
* Use JMS ack if
- Acknowledgment should occur eventually, perhaps asynchronously
- The performance of the message receipt is paramount
- The message processing is idempotent
- For the choreography portion of the SAGA pattern
* Use JMS transactions
- For all other times in the integration you want to perform an atomic unit of work
- When the unit of work comprises more than the receipt of a single message
- To simply and unify the programming model (begin/commit/rollback)
NEW QUESTION # 148
Refer to the exhibit.
This Mule application is deployed to multiple Cloudhub workers with persistent queue enabled. The retrievefile flow event source reads a CSV file from a remote SFTP server and then publishes each record in the CSV file to a VM queue. The processCustomerRecords flow's VM Listner receives messages from the same VM queue and then processes each message separately.
How are messages routed to the cloudhub workers as messages are received by the VM Listener?
- A. Each message is routed to the SAME Cloudhub worker that retrieved the file, thereby BINDING ALL messages to ONLY that ONE Cloudhub worker
- B. Each messages routes to ONE of the available Clouhub workers in a NON- DETERMINSTIC non round-robin fashion thereby APPROXIMATELY BALANCING messages among the cloudhub workers
- C. Each message is routed to ONE of the Cloudhub workers in a DETERMINSTIC round robin fashion thereby EXACTLY BALANCING messages among the cloudhub workers
- D. Each message is duplicated to ALL of the Cloudhub workers, thereby SHARING EACH message with ALL the Cloudhub workers.
Answer: B
NEW QUESTION # 149
An API has been unit tested and is ready for integration testing. The API is governed by a Client ID Enforcement policy in all environments.
What must the testing team do before they can start integration testing the API in the Staging environment?
- A. They must access the API portal and create an API notebook using the Client ID and Client Secret supplied by the API portal in the Staging environment
- B. They must be assigned as an API version owner of the API in the Staging environment
- C. They must request access to the API instance in the Staging environment and obtain a Client ID and Client Secret to be used for testing the API
- D. They must request access to the Staging environment and obtain the Client ID and Client Secret for that environment to be used for testing the API
Answer: C
Explanation:
Explanation
* It's mentioned that the API is governed by a Client ID Enforcement policy in all environments.
* Client ID Enforcement policy allows only authorized applications to access the deployed API implementation.
* Each authorized application is configured with credentials: client_id and client_secret.
* At runtime, authorized applications provide the credentials with each request to the API implementation.
MuleSoft Reference: https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-based-policies
NEW QUESTION # 150
A global organization operates datacenters in many countries. There are private network links between these datacenters because all business data (but NOT metadata) must be exchanged over these private network connections.
The organization does not currently use AWS in any way.
The strategic decision has Just been made to rigorously minimize IT operations effort and investment going forward.
What combination of deployment options of the Anypoint Platform control plane and runtime plane(s) best serves this organization at the start of this strategic journey?
- A. MuleSoft-hosted Anypoint Platform control plane CloudHub Shared Worker Cloud in multiple AWS regions
- B. MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in each datacenter
- C. MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in multiple AWS regions
- D. Anypoint Platform - Private Cloud Edition Customer-hosted runtime plane in each datacenter
Answer: B
Explanation:
Correct answer is MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in each datacenter There are two things to note about the question which can help us figure out correct answer.. * Business data must be exchanged over these private network connections which means we can not use MuleSoft provided Cloudhub option. So we are left with either customer hosted runtime in external cloud provider or customer hosted runtime in their own premises. As customer does not use AWS at the moment. Hence that don't have the immediate option of using Customer-hosted runtime plane in multiple AWS regions. hence the most suitable option for runtime plane is Customer-hosted runtime plane in each datacenter * Metadata has no limitation to reside in organization premises. Hence for control plane MuleSoft hosted Anypoint platform can be used as a strategic solution.
Hybrid is the best choice to start. Mule hosted Control plane and Customer hosted Runtime to start with. Once they mature in cloud migration, everything can be in Mule hosted.
NEW QUESTION # 151
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 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
- B. 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
- C. 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
- D. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receivesONE record at a time as the payload, and RECORDS are processed IN PARALLEL within and between the two Batch Steps
Answer: B
NEW QUESTION # 152
As a part of project , existing java implementation is being migrated to Mulesoft. Business is very tight on the budget and wish to complete the project in most economical way possible.
Canonical object model using java is already a part of existing implementation. Same object model is required by mule application for a business use case. What is the best way to achieve this?
- A. Create similar model for Mule applications
- B. Use Anypoint exchange
- C. Create a custom application to read Java code and make it available for Mule application
- D. Make use of Java module
Answer: D
Explanation:
Mule 4 is built to:
*Minimize the need for custom code.
*Avoid the need for you to know or understand Java.
However, some advanced uses cases require integration with custom Java code, such as:
*Reuse of a library, such as a tax calculation library.
*Reuse of a canonical object model that is standard in the organization.
*Execution of custom logic using Java.
Mule ref doc : https://docs.mulesoft.com/java-module/1.2/
NEW QUESTION # 153
Refer to the exhibit.
A shopping cart checkout process consists of a web store backend sending a sequence of API invocations to an Experience API, which in turn invokes a Process API. All API invocations are over HTTPS POST. The Java web store backend executes in a Java EE application server, while all API implementations are Mule applications executing in a customer -hosted Mule runtime.
End-to-end correlation of all HTTP requests and responses belonging to each individual checkout Instance is required. This is to be done through a common correlation ID, so that all log entries written by the web store backend, Experience API implementation, and Process API implementation include the same correlation ID for all requests and responses belonging to the same checkout instance.
What is the most efficient way (using the least amount of custom coding or configuration) for the web store backend and the implementations of the Experience API and Process API to participate in end-to-end correlation of the API invocations for each checkout instance?
A)
The web store backend, being a Java EE application, automatically makes use of the thread-local correlation ID generated by the Java EE application server and automatically transmits that to the Experience API using HTTP-standard headers No special code or configuration is included in the web store backend, Experience API, and Process API implementations to generate and manage the correlation ID
B)
The web store backend generates a new correlation ID value at the start of checkout and sets it on the X-CORRELATlON-lt HTTP request header In each API invocation belonging to that checkout No special code or configuration is included in the Experience API and Process API implementations to generate and manage the correlation ID
C)
The Experience API implementation generates a correlation ID for each incoming HTTP request and passes it to the web store backend in the HTTP response, which includes it in all subsequent API invocations to the Experience API.
The Experience API implementation must be coded to also propagate the correlation ID to the Process API in a suitable HTTP request header
D)
The web store backend sends a correlation ID value in the HTTP request body In the way required by the Experience API The Experience API and Process API implementations must be coded to receive the custom correlation ID In the HTTP requests and propagate It in suitable HTTP request headers
- A. Option C
- B. Option B
- C. Option D
- D. Option A
Answer: B
Explanation:
Correct answer is "The web store backend generates a new correlation ID value at the start of checkout and sets it on the X-CORRELATION-ID HTTP request header in each API invocation belonging to that checkout No special code or configuration is included in the Experience API and Process API implementations to generate and manage the correlation ID" Explanation: : 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.
Mulesoft Reference: https://help.mulesoft.com/s/article/How-to-Set-Custom-Correlation-Id-for-Flows-with-HTTP-Endpoint-in-Mule-4
NEW QUESTION # 154
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