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[Oct 08, 2024] MCIA-Level-1 PDF Recently Updated Questions Dumps to Improve Exam Score

MCIA-Level-1 Dumps Full Questions with Free PDF Questions to Pass

The MCIA-Level-1 exam covers a range of topics including integration architecture, integration design patterns, API design, data transformation, security, and deployment strategies. MCIA-Level-1 exam is comprised of multiple-choice questions and scenarios that test candidates’ ability to solve real-world integration problems using MuleSoft technology.

 

NO.24 To implement predictive maintenance on its machinery equipment, ACME Tractors has installed thousands of IoT sensors that will send data for each machinery asset as sequences of JMS messages, in near real-time, to a JMS queue named SENSOR_DATA on a JMS server. The Mule application contains a JMS Listener operation configured to receive incoming messages from the JMS servers SENSOR_DATA JMS queue. The Mule application persists each received JMS message, then sends a transformed version of the corresponding Mule event to the machinery equipment back-end systems.
The Mule application will be deployed to a multi-node, customer-hosted Mule runtime cluster. Under normal conditions, each JMS message should be processed exactly once.
How should the JMS Listener be configured to maximize performance and concurrent message processing of the JMS queue?

 
 
 
 

NO.25 What is an example of data confidentiality?

 
 
 
 

NO.26 49 of A popular retailer is designing a public API for its numerous business partners. Each business partner will invoke the API at the URL 58. https://api.acme.com/partnefs/vl. The API implementation is estimated to require deployment to 5 CloudHub workers.
The retailer has obtained a public X.509 certificate for the name apl.acme.com, signed by a reputable CA, to be used as the server certificate.
Where and how should the X.509 certificate and Mule applications be used to configure load balancing among the 5 CloudHub workers, and what DNS entries should be configured in order for the retailer to support its numerous business partners?

 
 
 
 

NO.27 Refer to the exhibit.

An organization is sizing an Anypoint VPC for the non-production deployments of those Mule applications that connect to the organization’s on-premises systems. This applies to approx. 60 Mule applications. Each application is deployed to two CloudHub i workers. The organization currently has three non-production environments (DEV, SIT and UAT) that share this VPC. The AWS region of the VPC has two AZs.
The organization has a very mature DevOps approach which automatically progresses each application through all non-production environments before automatically deploying to production. This process results in several Mule application deployments per hour, using CloudHub’s normal zero-downtime deployment feature.
What is a CIDR block for this VPC that results in the smallest usable private IP address range?

 
 
 
 

NO.28 An external API frequently invokes an Employees System API to fetch employee data from a MySQL database. The architect must design a caching strategy to query the database only when there Is an update to the Employees table or else return a cached response in order to minimize the number of redundant transactions being handled by the database.

 
 
 
 

NO.29 Which type of communication is managed by a service mesh in a microservices architecture?

 
 
 
 

NO.30 What condition requires using a CloudHub Dedicated Load Balancer?

 
 
 
 

NO.31 An organization is designing the following two Mule applications that must share data via a common persistent object store instance:
– Mule application P will be deployed within their on-premises datacenter.
– Mule application C will run on CloudHub in an Anypoint VPC.
The object store implementation used by CloudHub is the Anypoint Object Store v2 (OSv2).
what type of object store(s) should be used, and what design gives both Mule applications access to the same object store instance?

 
 
 
 

NO.32 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?

 
 
 
 

NO.33 A trading company handles millions of requests a day. Due to nature of its business, it requires excellent performance and reliability within its application.
For this purpose, company uses a number of event-based API’s hosted on various mule clusters that communicate across a shared message queue sitting within its network.
Which method should be used to meet the company’s requirement for its system?

 
 
 
 

NO.34 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?

 
 
 
 

NO.35 According to MuteSoft, which principle is common to both Service Oriented Architecture (SOA) and API-led connectivity approaches?

 
 
 
 

NO.36 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?

 
 
 
 

NO.37 An API implementation is being designed that must invoke an Order API which is known to repeatedly experience downtime. For this reason a fallback API is to be called when the Order API is unavailable. What approach to designing invocation of the fallback API provides the best resilience?

 
 
 
 

NO.38 Refer to the exhibit.


A business process involves two APIs that interact with each other asynchronously over HTTP. Each API is implemented as a Mule application. API 1 receives the initial HTTP request and invokes API 2 (in a fire and forget fashion) while API 2, upon completion of the processing, calls back into API l to notify about completion of the asynchronous process.
Each API Is deployed to multiple redundant Mule runtimes and a separate load balancer, and is deployed to a separate network zone.
In the network architecture, how must the firewall rules be configured to enable the above Interaction between API 1 and API 2?

 
 
 
 

NO.39 What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?

 
 
 
 

NO.40 Mule applications need to be deployed to CloudHub so they can access on-premises database systems. These systems store sensitive and hence tightly protected data, so are not accessible over the internet.
What network architecture supports this requirement?

 
 
 
 

NO.41 How does timeout attribute help inform design decisions while using JMS connector listening for incoming messages in an extended architecture (XA) transaction?

 
 
 
 

NO.42 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 a staging (non-production) environment?

 
 
 
 

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