MCIA-Level-1 Exam Dumps Free Test Engine Verified By MuleSoft Certified Architect Certified Experts [Q23-Q47]

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MCIA-Level-1 Exam Dumps Free Test Engine Verified By MuleSoft Certified Architect Certified Experts

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MuleSoft is a widely recognized and respected leader in the field of integration software. The MuleSoft Certified Integration Architect – Level 1 (MCIA-Level-1) certification exam is designed for professionals who want to validate their skills and expertise in the field of integration architecture. MuleSoft Certified Integration Architect – Level 1 certification is a testament to the individual’s ability to design and implement MuleSoft solutions that meet the needs of businesses.

NO.23 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 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 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 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

NO.24 An external web UI application currently accepts occasional HTTP requests from client web browsers to change (insert, update, or delete) inventory pricing information in an inventory system’s database. Each inventory pricing change must be transformed and then synchronized with multiple customer experience systems in near real-time (in under 10 seconds). New customer experience systems are expected to be added in the future.
The database is used heavily and limits the number of SELECT queries that can be made to the database to 10 requests per hour per user.
What is the most scalable, idiomatic (used for its intended purpose), decoupled. reusable, and maintainable integration mechanism available to synchronize each inventory pricing change with the various customer experience systems in near real-time?

Write a Mule application with a Database On Table Row event source configured for the inventory pricing database, with the watermark attribute set to an appropriate database column In the same now, use a Scatter-Gather to call each customer experience system’s REST API with transformed inventory-pricing records

Add a trigger to the inventory-pricing database table so that for each change to the inventory pricing database, a stored procedure is called that makes a REST call to a Mule application Write the Mule application to publish each Mule event as a message to an Anypoint MQ exchange Write other Mule applications to subscribe to the Anypoint MQ exchange, transform each received message, and then update the Mule application’s corresponding customer experience system(s)

Replace the external web UI application with a Mule application to accept HTTP requests from client web browsers In the same Mule application, use a Batch Job scope to test if the database request will succeed, aggregate pricing changes within a short time window, and then update both the inventory pricing database and each customer experience system using a Parallel For Each scope

Write a Mule application with a Database On Table Row event source configured for the inventory pricing database, with the ID attribute set to an appropriate database column In the same flow, use a Batch Job scope to publish transformed Inventory-pricing records to an Anypoint MQ queue Write other Mule applications to subscribe to the Anypoint MQ queue, transform each received message, and then update the Mule application’s corresponding customer experience system(s)

NO.25 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

* 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)

NO.26 An organization is sizing an Anypoint VPC to extend their internal network to Cloudhub.
For this sizing calculation, the organization assumes 150 Mule applications will be deployed among three(3) production environments and will use Cloudhub’s default zero-downtime feature. Each Mule application is expected to be configured with two(2) Cloudhub workers.This is expected to result in several Mule application deployments per hour.

10.0.0.0/21(2048 IPs)

10.0.0.0/22(1024IPs)

10.0.0.0/23(512 IPs)

10.0.0.0/24(256 IPs)

NO.27 A company is building an application network and has deployed four Mule APIs: one experience API, one process API, and two system APIs. The logs from all the APIs are aggregated in an external log aggregation tool. The company wants to trace messages that are exchanged between multiple API implementations. What is the most idiomatic (based on its intended use) identifier that should be used to implement Mule event tracing across the multiple API implementations?

Mule event ID

Mule correlation ID

Client’s IP address

DataWeave UUID

NO.28 A company is planning to migrate its deployment environment from on-premises cluster to a Runtime Fabric (RTF) cluster. It also has a requirement to enable Mule applications deployed to a Mule runtime instance to store and share data across application replicas and restarts.
How can these requirements be met?

Anypoint object store V2 to share data between replicas in the RTF cluster

Install the object store pod on one of the cluster nodes

Configure Persistence Gateway in any of the servers using Mule Object Store

Configure Persistent Gateway at the RTF

NO.29 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

NO.30 In which order are the API Client, API Implementation, and API interface components called in a typical REST request?

API Client > API implementation > API Interface

API interface > API Client > API Implementation

API Client > API Interface > API implementation

API Implementation > API Interface > API Client

NO.31 What Is a recommended practice when designing an integration Mule 4 application that reads a large XML payload as a stream?

The payload should be dealt with as a repeatable XML stream, which must only be traversed (iterated-over) once and CANNOT be accessed randomly from DataWeave expressions and scripts

The payload should be dealt with as an XML stream, without converting it to a single Java object (POJO)

The payload size should NOT exceed the maximum available heap memory of the Mute runtime on which the Mule application executes

The payload must be cached using a Cache scope If It Is to be sent to multiple backend systems

NO.32 An organization has various integrations implemented as Mule applications. Some of these Mule applications are deployed to customer-hosted Mule runtimes (on-premises) while others execute in the MuleSoft-hosted runtime plane (CloudHub). To perform the integration functionality, these Mule applications connect to various backend systems, with multiple applications typically needing to access the same backend systems.
How can the organization most effectively avoid creating duplicates in each Mule application of the credentials required to access the backend systems?

Create a Mule domain project that maintains the credentials as Mule domain-shared resources Deploy the Mule applications to the Mule domain, so the credentials are available to the Mule applications

Configure or create a credentials service that returns the credentials for each backend system, and that is accessible from customer-hosted and MuleSoft-hosted Mule runtimes Have the Mule applications load the properties at startup by invoking that credentials service

Store the credentials in properties files in a shared folder within the organization’s data center Have the Mule applications load properties files from this shared location at startup

Segregate the credentials for each backend system into environment-specific properties files Package these properties files in each Mule application, from where they are loaded at startup

NO.33 What is an example of data confidentiality?

Signing a file digitally and sending it using a file transfer mechanism

Encrypting a file containing personally identifiable information (PV)

Providing a server’s private key to a client for secure decryption of data during a two-way SSL handshake

De-masking a person’s Social Security number while inserting it into a database

NO.34 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. 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

NO.35 A MuteSoft developer must implement an API as a Mule application, run the application locally, and execute unit tests against the Running application.
Which Anypoint Platform component can the developer use to full all of these requirements?

API Manager

API Designer

Anypoint CLI

Anypoint Studio

NO.36 According to MuleSoft, what is a major distinguishing characteristic of an application network in relation to the integration of systems, data, and devices?

It uses a well-organized monolithic approach with standards

It is built for change and self-service

It leverages well-accepted internet standards like HTTP and JSON

It uses CI/CD automation for real-time project delivery

NO.37 An organization heeds to procure an enterprise software system to increase cross-selling opportunities and better rack prospect data.
Which category of enterprise software has these core capabilities, when used for its typical and intended purpose?

Supply Chain Management (SCM)

IT Service Management (ITSM)

Business-to-Business (A2B)

Customer Relationship Management (CRM)

NO.38 What operation can be performed through a JMX agent enabled in a Mule application?

View object store entries

Replay an unsuccessful message

Set a particular tog4J2 log level to TRACE

Deploy a Mule application

NO.39 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

NO.40 An organization uses Mule runtimes which are managed by Anypoint Platform – Private Cloud Edition. What MuleSoft component is responsible for feeding analytics data to non-MuleSoft analytics platforms?

Anypoint Exchange

The Mule runtimes

Anypoint API Manager

Anypoint Runtime Manager

NO.41 An organization is sizing an Anypoint VPC to extend their internal network to Cloudhub.
For this sizing calculation, the organization assumes 150 Mule applications will be deployed among three(3) production environments and will use Cloudhub’s default zero-downtime feature. Each Mule application is expected to be configured with two(2) Cloudhub workers.This is expected to result in several Mule application deployments per hour.

10.0.0.0/21(2048 IPs)

10.0.0.0/22(1024IPs)

10.0.0.0/23(512 IPs)

10.0.0.0/24(256 IPs)

NO.42 What aspects of a CI/CD pipeline for Mule applications can be automated using MuleSoft-provided Maven plugins?

Compile, package, unit test, validate unit test coverage, deploy

Compile, package, unit test, deploy, integration test (Incorrect)

Compile, package, unit test, deploy, create associated API instances in API Manager

Import from API designer, compile, package, unit test, deploy, publish to Anypoint Exchange

Correct answer is “Compile, package, unit test, validate unit test coverage, deploy” : 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

NO.43 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

NO.44 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 theJVM heap memory consumed by each node

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

NO.45 An organization uses a four(4) node customer hosted Mule runtime cluster to host one(1) stateless api implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution. Each node in the cluster has been sized to be able to accept four(4) times the current number of requests.
Two(2) nodes in the cluster experience a power outage and are no longer available. The load balancer directs the outage and blocks the two unavailable the nodes from receiving further HTTP requests.
What performance-related consequence is guaranteed to happen to average, assuming the remaining cluster nodes are fully operational?

100% increase in the average response time of the API

50% reduction in the throughput of the API

100% increase in the number of requests received by each remaining node

50% increase in the JVM heap memory consumed by each remaining node

NO.46 Anypoint Exchange is required to maintain the source code of some of the assets committed to it, such as Connectors, Templates, and API specifications.
What is the best way to use an organization’s source-code management (SCM) system in this context?

Organizations should continue to use an SCM system of their choice, in addition to keeping source code for these asset types in Anypoint Exchange, thereby enabling parallel development, branching, and merging

Organizations need to use Anypoint Exchange as the main SCM system to centralize versioning and avoid code duplication

Organizations can continue to use an SCM system of their choice for branching and merging, as long as they follow the branching and merging strategy enforced by Anypoint Exchange

Organizations need to point Anypoint Exchange to their SCM system so Anypoint Exchange can pull source code when requested by developers and provide it to Anypoint Studio

NO.47 Refer to the exhibit.

A Mule 4 application has a parent flow that breaks up a JSON array payload into 200 separate items, then sends each item one at a time inside an Async scope to a VM queue.
A second flow to process orders has a VM Listener on the same VM queue. The rest of this flow processes each received item by writing the item to a database.
This Mule application is deployed to four CloudHub workers with persistent queues enabled.
What message processing guarantees are provided by the VM queue and the CloudHub workers, and how are VM messages routed among the CloudHub workers for each invocation of the parent flow under normal operating conditions where all the CloudHub workers remain online?

EACH item VM message is processed AT MOST ONCE by ONE CloudHub worker, with workers chosen in a deterministic round-robin fashion Each of the four CloudHub workers can be expected to process 1/4 of the Item VM messages (about 50 items)

EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARY CloudHub worker Each of the four CloudHub workers can be expected to process some item VM messages

ALL Item VM messages are processed AT LEAST ONCE by the SAME CloudHub worker where the parent flow was invoked This one CloudHub worker processes ALL 200 item VM messages

ALL item VM messages are processed AT MOST ONCE by ONE ARBITRARY CloudHub worker This one CloudHub worker processes ALL 200 item VM messages

MuleSoft Certified Integration Architect (MCIA) – Level 1 certification exam is designed to test the knowledge and skills of integration architects who work with MuleSoft’s Anypoint Platform. MCIA-Level-1 exam is intended for professionals who have experience in designing, building, and deploying integration solutions using MuleSoft. MuleSoft Certified Integration Architect – Level 1 certification demonstrates that the candidate has the necessary skills to design and develop effective MuleSoft integration solutions.

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