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[Hardware] MuleSoft-Integration-Architect-I Frenquent Update & MuleSoft-Integration-Arc

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【Hardware】 MuleSoft-Integration-Architect-I Frenquent Update & MuleSoft-Integration-Arc

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q167-Q172):NEW QUESTION # 167
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. Consistency
  • B. Availability
  • C. Response time
  • D. Throughput
Answer: A
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 # 168
A manufacturing company is planning to deploy Mule applications to its own Azure Kubernetes Service infrastructure.
The organization wants to make the Mule applications more available and robust by deploying each Mule application to an isolated Mule runtime in a Docker container while managing all the Mule applications from the MuleSoft-hosted control plane.
What is the most idiomatic (used for its intended purpose) choice of runtime plane to meet these organizational requirements?
  • A. Anypoint Runtime Fabric
  • B. Anypoint Platform Private Cloud Edition
  • C. Anypoint Service Mesh
  • D. CloudHub
Answer: A

NEW QUESTION # 169
A mule application designed to fulfil two requirements
a) Processing files are synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events b) Processing a medium rate of records from a source to a target system using batch job scope Considering the processing reliability requirements for FTPS files, how should VM queues be configured for processing files as well as for the batch job scope if the application is deployed to Cloudhub workers?
  • A. Use Cloud hub persistent VM queue for FTPS file processingThere is no need to configure VM queues for the batch jobs scope as it uses by default the worker's JVM memory for VM queueing
  • B. Use VM connector persistent queues for FTPS file processing Disable VM queue for the batch job scope
  • C. Use Cloud hub persistent queues for FTPS files processingThere is no need to configure VM queues for the batch jobs scope as it uses by default the worker's disc for VM queueing
  • D. Use Cloud hub persistent VM queues for FTPS file processingDisable VM queue for the batch job scope
Answer: C
Explanation:
When processing files synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events on CloudHub, reliability is critical. CloudHub persistent queues should be used for FTPS file processing to ensure that no data is lost in case of worker failure or restarts. These queues provide durability and reliability since they store messages persistently.
For the batch job scope, it is not necessary to configure additional VM queues. By default, batch jobs on CloudHub use the worker's disk for VM queueing, which is reliable for handling medium-rate records processing from a source to a target system. This approach ensures that both FTPS file processing and batch job processing meet reliability requirements without additional configuration for batch job scope.
References
* MuleSoft Documentation on CloudHub and VM Queues
* Anypoint Platform Best Practices

NEW QUESTION # 170
An application deployed to a runtime fabric environment with two cluster replicas is designed to periodically trigger of flow for processing a high-volume set of records from the source system and synchronize with the SaaS system using the Batch job scope After processing 1000 records in a periodic synchronization of 1 lakh records, the replicas in which batch job instance was started went down due to unexpected failure in the runtime fabric environment What is the consequence of losing the replicas that run the Batch job instance?
  • A. A new replacement replica will be available and will be process all 1,00,000 records from scratch leading to duplicate record processing
  • B. The second replicas will take over processing the remaining 99000 records
  • C. A new placement replica will be available and will take or processing the remaining 99,000 records
  • D. The remaining 99000 records will be lost and left and processed
Answer: C
Explanation:
When a batch job instance running on a runtime fabric environment with two cluster replicas encounters an unexpected failure, the following sequence of events occurs:
* Failure Detection: The runtime fabric environment detects the failure of the replica running the batch job.
* Replica Replacement: A new replica is provisioned to replace the failed one.
* Batch Job State Recovery: MuleSoft's batch processing mechanism ensures that the state of the batch job is periodically saved (checkpointing). This allows the new replica to resume processing from the last saved state.
* Resumption of Processing: The new replica takes over the batch job, continuing from where the previous one left off, thus processing the remaining 99,000 records without starting from scratch or causing duplicate processing.
MuleSoft Documentation on Batch Processing
Runtime Fabric Guide

NEW QUESTION # 171
An organization has decided on a cloud migration strategy to minimize the organization's own IT resources.
Currently the organization has all of its new applications running on its own premises and uses an on- premises load balancer that exposes all APIs under the base URL (https://api.rutujar.com).
As part of migration strategy, the organization is planning to migrate all of its new applications and load balancer CloudHub.
What is the most straightforward and cost-effective approach to Mule application deployment and load balancing that preserves the public URL's?
  • A. Deploy the Mule application to Cloudhub
    Update a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server to point to the A record of the Cloudhub dedicated load balancer Apply mapping rules in DLB to map URLto their corresponding Mule applications
  • B. Deploy the Mule application to Cloudhub
    Create a CNAME record for base URL( httpsr://api.rutujar.com) in the Cloudhub shared load balancer that points to the A record of theon-premises load balancer Apply mapping rules in SLB to map URLto their corresponding Mule applications
  • C. Deploy the Mule application to Cloudhub
    Update a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server to point to the A record of the CloudHub shared load balancer Apply mapping rules in SLB to map URLto their corresponding Mule applications
  • D. For each migrated Mule application, deploy an API proxy application to Cloudhub with all traffic to the mule applications routed through a Cloud Hub Dedicated load balancer (DLB) Update a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server to point to the A record of the CloudHub dedicated load balancer Apply mapping rules in DLB to map each API proxy application who is responding new application
Answer: C
Explanation:
For an organization migrating its Mule applications and load balancer to CloudHub while preserving its public URL, the most straightforward and cost-effective approach involves leveraging CloudHub's shared load balancer (SLB). Here's how to do it:
* Deploying Mule Applications to CloudHub:
* First, deploy your Mule applications to CloudHub. This involves packaging your Mule applications and using the Anypoint Platform to deploy them to CloudHub.
* DNS Configuration:
* Update your DNS settings to ensure the base URL (https://api.rutujar.com) points to the CloudHub shared load balancer. Specifically, create or update a CNAME record for api.rutujar.
com to point to the CloudHub SLB's A record.
* Configuring Shared Load Balancer (SLB):
* In CloudHub, configure the SLB to handle incoming traffic and route it to the appropriate Mule applications.
* Apply mapping rules in the SLB to map the base URL and its paths to the corresponding Mule applications. This ensures that requests to https://api.rutujar.com are correctly routed to the specific Mule application endpoints.
* Steps to Apply Mapping Rules:
* In Anypoint Platform, navigate to the Runtime Manager and select the application deployed on CloudHub.
* Configure the SLB settings by defining the domain and URL mappings. For instance, set rules that map requests from https://api.rutujar.com/app1 to the corresponding Mule application app1.
* Benefits of Using SLB:
* Cost-Effective: The shared load balancer is a more economical option compared to a dedicated load balancer (DLB).
* Simplicity: Using SLB simplifies the deployment process, as it requires less configuration and management compared to setting up and maintaining a dedicated load balancer.
* Consistency: Preserves the public-facing URL structure, ensuring a seamless transition for users and clients accessing the APIs.
References:
* MuleSoft Documentation on CloudHub Deployment
* MuleSoft Documentation on Shared Load Balancer
By following these steps, the organization can effectively migrate its applications to CloudHub, ensuring minimal disruption and preserving the existing public URL structure.

NEW QUESTION # 172
......
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