Prepare MCIA-Level-1 Question Answers Free Update With 100% Exam Passing Guarantee [Q141-Q161]

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Prepare MCIA-Level-1 Question Answers Free Update With 100% Exam Passing Guarantee [2023]

Dumps Real MuleSoft MCIA-Level-1 Exam Questions [Updated 2023]

The MCIA-Level-1 exam is designed for professionals who have experience designing, building, and managing Mule applications. MCIA-Level-1 exam tests a candidate’s understanding of MuleSoft’s Anypoint Platform, including the ability to design and deploy Mule applications, configure and manage APIs, and troubleshoot common issues. The MCIA-Level-1 exam is a comprehensive exam that covers a wide range of topics, including integration architecture, development, and deployment. By passing the MCIA-Level-1 exam, professionals can demonstrate their expertise in MuleSoft’s Anypoint Platform and enhance their career prospects in the integration industry.

To qualify for the MCIA-Level-1 certification exam, candidates must have a solid understanding of integration concepts and experience working with MuleSoft’s Anypoint Platform. Candidates should also have experience working in a team environment and be able to communicate effectively with stakeholders, including developers, architects, and business leaders. After passing the MCIA-Level-1 exam, integration architects will have the skills and knowledge needed to design and implement effective integration solutions using MuleSoft’s Anypoint Platform. MuleSoft Certified Integration Architect – Level 1 certification can help integration architects stand out in a competitive job market and demonstrate their expertise to potential employers.

Q141. Refer to the exhibit.

An organization uses a 2-node Mute runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution.
Two additional nodes have been added to the cluster and the load balancer has been configured to recognize the new nodes with no other change to the load balancer.
What average performance change is guaranteed to happen, assuming all cluster nodes are fully operational?

50% reduction in the response time of the API

100% increase in the throughput of the API

50% reduction In the JVM heap memory consumed by each node

50% reduction In the number of requests being received by each node

Q142. 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?

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

Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system

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

Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale

Q143. 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?

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

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

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

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 the SAME Mule DOMAIN project Go to Set

In this scenario, both A & C will work, but A is better as it does not require repackage to the domain project at all.
Correct answer is 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.
What is Mule Domain Project?
* A Mule Domain Project is implemented to configure the resources that are shared among different projects. These resources can be used by all the projects associated with this domain. Mule applications can be associated with only one domain, but a domain can be associated with multiple projects. Shared resources allow multiple development teams to work in parallel using the same set of reusable connectors. Defining these connectors as shared resources at the domain level allows the team to: – Expose multiple services within the domain through the same port. – Share the connection to persistent storage. – Share services between apps through a well-defined interface. – Ensure consistency between apps upon any changes because the configuration is only set in one place.
* Use domains Project to share the same host and port among multiple projects. You can declare the http connector within a domain project and associate the domain project with other projects. Doing this also allows to control thread settings, keystore configurations, time outs for all the requests made within multiple applications. You may think that one can also achieve this by duplicating the http connector configuration across all the applications. But, doing this may pose a nightmare if you have to make a change and redeploy all the applications.
* If you use connector configuration in the domain and let all the applications use the new domain instead of a default domain, you will maintain only one copy of the http connector configuration. Any changes will require only the domain to the redeployed instead of all the applications.
You can start using domains in only three steps:
1) Create a Mule Domain project
2) Create the global connector configurations which needs to be shared across the applications inside the Mule Domain project
3) Modify the value of domain in mule-deploy.properties file of the applications

Use a certificate defined in already deployed Mule domain Configure the certificate in the domain so that the API proxy HTTPS Listener references it, and then deploy the secure API proxy to the target Runtime Fabric, or on-premises target. (CloudHub is not supported with this approach because it does not support Mule domains.)

Q144. In Anypoint Platform, a company wants to configure multiple identity providers(Idps) for various lines of business (LOBs) Multiple business groups and environments have been defined for the these LOBs. What Anypoint Platform feature can use multiple Idps access the company’s business groups and environment?

User management

Roles and permissions

Dedicated load balancers

Client Management

Q145. According to MuleSoft, which deployment characteristic applies to a microservices application architecture?

Services exist as independent deployment artifacts and can be scaled -independently of other services

All services of an application can be deployed together as single Java WAR file

A deployment to enhance one capability requires a redeployment of all capabilities

Core business capabilities are encapsulated in a single, deployable application

Q146. 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?

1) Read the JMS message (NOT in an XA transaction)
2) Perform BOTH DB inserts in ONE DB transaction
3) Acknowledge the JMS message

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

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

1) Read and acknowledge the JMS message (NOT in an XA transaction)
2) In a NEW XA transaction, perform BOTH DB inserts

Q147. An integration team follows MuleSoft’s recommended approach to full lifecycle API development.
Which activity should this team perform during the API implementation phase?

Validate the API specification

Use the API specification to build the MuleSoft application

Design the API specification

Use the API specification to monitor the MuleSoft application

Q148. 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?

Each message is routed to ONE of the Cloudhub workers in a DETERMINSTIC round robin fashion thereby EXACTLY BALANCING messages among the cloudhub workers

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

Each message is routed to the SAME Cloudhub worker that retrieved the file, thereby BINDING ALL messages to ONLY that ONE Cloudhub worker

Each message is duplicated to ALL of the Cloudhub workers, thereby SHARING EACH message with ALL the Cloudhub workers.

Q149. What requires configuration of both a key store and a trust store for an HTTP Listener?

Support for TLS mutual (two-way) authentication with HTTP clients

Encryption of requests to both subdomains and API resource endpoints fhttPs://aDi.customer.com/ and https://customer.com/api)

Encryption of both HTTP request and HTTP response bodies for all HTTP clients

Encryption of both HTTP request header and HTTP request body for all HTTP clients

Q150. An organization is using Mulesoft cloudhub and develops API’s in the latest version. As a part of requirements for one of the API’s, third party API needs to be called. The security team has made it clear that calling any external API needs to have include listing As an integration architect please suggest the best way to accomplish the design plan to support these requirements?

Implement includelist IP on the cloudhub VPC firewall to allow the traffic

Implement the validation of includelisted IP operation

Implement the Any point filter processor to implement the include list IP

Implement a proxy for the third party API and enforce the IPinclude list policy and call this proxy from the flow of the API

Q151. Mule application A receives a request Anypoint MQ message REQU with a payload containing a variable-length list of request objects. Application A uses the For Each scope to split the list into individual objects and sends each object as a message to an Anypoint MQ queue.
Service S listens on that queue, processes each message independently of all other messages, and sends a response message to a response queue.
Application A listens on that response queue and must in turn create and publish a response Anypoint MQ message RESP with a payload containing the list of responses sent by service S in the same order as the request objects originally sent in REQU.
Assume successful response messages are returned by service S for all request messages.
What is required so that application A can ensure that the length and order of the list of objects in RESP and REQU match, while at the same time maximizing message throughput?

OUsea Scatter-Gather within the For Each scope to ensure response message order Configure the Scatter-Gather with a persistent object store

Perform all communication involving service S synchronously from within the For Each scope, so objects in RESP are in the exact same order as request objects in REQU

Use an Async scope within the For Each scope and collect response messages in a second For Each scope in the order In which they arrive, then send RESP using this list of responses

Keep track of the list length and all object indices in REQU, both in the For Each scope and in all communication involving service Use persistent storage when creating RESP

Q152. Refer to the exhibit. An organization is designing a Mule application to receive data from one external business partner. The two companies currently have no shared IT infrastructure and do not want to establish one.
Instead, all communication should be over the public internet (with no VPN).
What Anypoint Connector can be used in the organization’s Mule application to securely receive data from this external business partner?

SFTP connector

VM connector

Object Store connector

File connector

Q153. A platform architect includes both an API gateway and a service mesh in the architect of a distributed application for communication management.
Which type of communication management does a service mesh typically perform in this architecture?

Between application services and the firewall

Between the application and external API clients

Between services within the application

Between the application and external API implementations.

Q154. How are the API implementation , API client, and API consumer combined to invoke and process an API ?

The API consumer creates an API implementation , which receives API invocations from an API such that they are processed for an API client

The API consumer creates an API client which sends API invocations to an API such that they are processed by an API implementation

An API client creates an API consumer, which receives API invocation from an API such that they are processed for an API implementation

The API client creates an API consumer which sends API invocations to an API such that they are processed by API implementation

Q155. 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?

Database polling continues Only HTTP requests sent to the remaining node continue to be accepted

Database polling stops All HTTP requests continue to be accepted

Database polling continues All HTTP requests continue to be accepted, but requests to the failed node Incur increased latency

Database polling stops All HTTP requests are rejected

Q156. 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?

10.0.0.0/26 (64 IPS)

10.0.0.0/25 (128 IPs)

10.0.0.0/24 (256 IPs)

10.0.0.0/22 (1024 IPs)

Q157. An integration Mule application is being designed to process orders by submitting them to a backend system for offline processing. Each order will be received by the Mule application through an HTTPS POST and must be acknowledged immediately. Once acknowledged, the order will be submitted to a backend system. Orders that cannot be successfully submitted due to rejections from the backend system will need to be processed manually (outside the backend system).
The Mule application will be deployed to a customer-hosted runtime and is able to use an existing ActiveMQ broker if needed.
The backend system has a track record of unreliability both due to minor network connectivity issues and longer outages.
What idiomatic (used for their intended purposes) combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the backend system, while minimizing manual order processing?

An On Error scope
MuleSoft Object Store
ActiveMQ Dead Letter Queue for manual processing

Until Successful component
ActiveMQ long retry Queue
ActiveMQ Dead Letter Queue for manual processing

Until Successful component
MuleSoft Object Store
ActiveMQ is NOT needed or used

An On Error scope
Non-persistent VM
ActiveMQ Dead Letter Queue for manual processing

Q158. What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?

Request size, request HTTP verbs, response time

Request size, number of requests, JDBC Select operation result set size

Request size, number of requests, response size, response time

Request size, number of requests, JDBC Select operation response time

Q159. What is a key difference between synchronous and asynchronous logging from Mule applications?

Synchronous logging writes log messages in a single logging thread but does not block the Mule event being processed by the next event processor

Asynchronous logging can improve Mule event processing throughput while also reducing the processing time for each Mule event

Asynchronous logging produces more reliable audit trails with more accurate timestamps

Synchronous logging within an ongoing transaction writes log messages in the same thread that processes the current Mule event

Q160. 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 custom asset with the default API implementation

A RAML archetype and reusable trait definitions to be reused across API implementations

An example of an API implementation following best practices

a Mule application template with the key components and minimal integration logic

Q161. 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?

Anypoint Platform Private Cloud Edition

Anypoint Runtime Fabric

CloudHub

Anypoint Service Mesh