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MCIA-Level-1 Exam Dumps For Certification Exam Preparation
MuleSoft is a leading software company that specializes in integration software. The company's software, Mule, is a lightweight, open-source integration framework that allows developers to connect applications, data, and devices. With Mule, developers can build integrations quickly and easily, without having to write custom code. To ensure that professionals have the skills and knowledge necessary to work with Mule, MuleSoft offers several certification exams, including the MuleSoft Certified Integration Architect - Level 1 (MCIA-Level-1) exam.
To take the MCIA-Level-1 exam, candidates must have a strong understanding of MuleSoft's Anypoint Platform, including its components and features. They should also be familiar with integration patterns, API design, security, and governance principles. MCIA-Level-1 exam consists of 60 multiple-choice questions that must be completed within 120 minutes. To pass the exam, candidates must score at least 70%. The MCIA-Level-1 certification is valid for two years and can be renewed by passing the current version of the exam or by earning a higher-level certification.
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NEW QUESTION # 121
A set of integration Mule applications, some of which expose APIs, are being created to enable a new business process. Various stakeholders may be impacted by this. These stakeholders are a combination of semi-technical users (who understand basic integration terminology and concepts such as JSON and XML) and technically skilled potential consumers of the Mule applications and APIs.
What Is an effective way for the project team responsible for the Mule applications and APIs being built to communicate with these stakeholders using Anypoint Platform and its supplied toolset?
- A. Create Anypoint Exchange entries with pages elaborating the integration design, including API notebooks (where applicable) to help the stakeholders understand and interact with the Mule applications and APIs at various levels of technical depth
- B. Capture documentation about the Mule applications and APIs inline within the Mule integration flows and use Anypoint Studio's Export Documentation feature to provide an HTML version of this documentation to the stakeholders
- C. Use Anypoint Design Center to implement the Mule applications and APIs and give the various stakeholders access to these Design Center projects, so they can collaborate and provide feedback
- D. Use Anypoint Exchange to register the various Mule applications and APIs and share the RAML definitions with the stakeholders, so they can be discovered
Answer: A
Explanation:
As the stakeholders are semitechnical users , preferred option is Create Anypoint Exchange entries with pages elaborating the integration design, including API notebooks (where applicable) to help the stakeholders understand and interact with the Mule applications and APIs at various levels of technical depth
NEW QUESTION # 122
A popular retailer is designing a public API for its numerous business partners. Each business partner will invoke the API at the URL https://api.acme.com/partners/v1. The API implementation is estimated to require deployment to 5 CloudHub workers.
The retailer has obtained a public X.509 certificate for the name api.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?
- A. Add the X.509 certificate to the Mule application's deployable archive, then configure a CloudHub Dedicated Load Balancer (DLB) for each of the Mule application's CloudHub workers Create a CNAME for api.acme.com pointing to the DLB's A record
- B. Add the X.509 certificate to the CloudHub Shared Load Balancer (SLB), not to the Mule application Create a CNAME for api.acme.com pointing to the SLB's A record
- C. Add the X.509 certificate to the Mule application's deployable archive, then configure the CloudHub Shared Load Balancer (SLB) for each of the Mule application's CloudHub workers Create a CNAME for api.acme.com pointing to the SLB's A record
- D. Add the X.509 certificate to a CloudHub Dedicated Load Balancer (DLB), not to the Mule application Create a CNAME for api.acme.com pointing to the DLB's A record
Answer: B
NEW QUESTION # 123
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 send Mule application log entries to Splunk
- D. To change tog4j2 tog levels in Anypoint Runtime Manager without having to restart the Mule application
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 # 124
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?
- A. Application C uses the Object Store connector to access a persistent object Application P accesses the persistent object store via the Object Store REST API
- B. Application C and P both use the Object Store connector to access a persistent object store
- C. Application P uses the Object Store connector to access a persistent object store Application C accesses this persistent object store via the Object Store REST API through an IPsec tunnel
- D. Application C and P both use the Object Store connector to access the Anypoint Object Store v2
Answer: A
NEW QUESTION # 125
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. Read and acknowledge the JMS message (NOT in an XA transaction)
2) In a NEW XA transaction, perform BOTH DB inserts - B. Read the JMS message (NOT in an XA transaction)
2) Perform BOTH DB inserts in ONE DB transaction
3) Acknowledge the JMS message - C. 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 - D. Read the JMS message (NOT in an XA transaction)
2) Perform EACH DB insert in a SEPARATE DB transaction
3) Acknowledge the JMS message
Answer: B
NEW QUESTION # 126
A Mule application is deployed to a cluster of two(2) cusomter-hosted Mule runtimes. Currently the node name Alice is the primary node and node named bob is the secondary node. The mule application has a flow that polls a directory on a file system for new files.
The primary node Alice fails for an hour and then restarted.
After the Alice node completely restarts, from what node are the files polled, and what node is now the primary node for the cluster?
- A. Files are polled form Bob node
Alice is now the primary node - B. Files are polled from Alice node
Bob is the now the primary node - C. Files are polled form Bob node
Bob is now the primary node - D. Files are polled from Alice node
Alice is now the primary node
Answer: C
Explanation:
* Mule High Availability Clustering provides basic failover capability for Mule. * When the primary Mule Runtime becomes unavailable, for example, because of a fatal JVM or hardware failure or it's taken offline for maintenance, a backup Mule Runtime immediately becomes the primary node and resumes processing where the failed instance left off. * After a system administrator recovers a failed Mule Runtime server and puts it back online, that server automatically becomes the backup node. In this case, Alice, once up, will become backup ---------------------------------------------------------------------------------------------------------------------------------------------- Reference: https://docs.mulesoft.com/mule-runtime/4.3/hadr-guide So correct choice is : Files are polled form Bob node Bob is now the primary node
NEW QUESTION # 127
An organization has defined a common object model in Java to mediate the communication between different Mule applications in a consistent way. A Mule application is being built to use this common object model to process responses from a SOAP API and a REST API and then write the processed results to an order management system.
The developers want Anypoint Studio to utilize these common objects to assist in creating mappings for various transformation steps in the Mule application.
What is the most idiomatic (used for its intended purpose) and performant way to utilize these common objects to map between the inbound and outbound systems in the Mule application?
- A. Use the Transform Message component
- B. Use the WSS module
- C. Use the Java module
- D. Use JAXB (XML) and Jackson (JSON) data bindings
Answer: D
NEW QUESTION # 128
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?
- A. VM connector
- B. Object Store connector
- C. SFTP connector
- D. File connector
Answer: D
NEW QUESTION # 129
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. API implementations using an object store must be adjusted to recognize the new nodes and persist to them
- B. A new load balancer must be provisioned to allow traffic to the new nodes in a round-robin fashion
- C. External monitoring tools or log aggregators must be configured to recognize the new nodes
- D. New firewall rules must be configured to accommodate communication between API clients and the new nodes
Answer: C
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 # 130
Refer to the exhibit. A Mule application is deployed to a cluster of two customer-hosted Mule runtimes. The Mule 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 failed, but before that node is restarted?
- A. Database polling stops
All HTTP requests 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 continues
Only HTTP requests sent to the remaining node continue to be accepted
Answer: B
NEW QUESTION # 131
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?
- A. Persistent Object Store
- B. Persistent Anypoint MQ Queue
- C. Persistent VM Queue
- D. Persistent Cache Scope
Answer: A
NEW QUESTION # 132
According to the National Institute of Standards and Technology (NIST), which cloud computing deployment model describes a composition of two or more distinct clouds that support data and application portability?
- A. Public cloud
- B. Private cloud
- C. Hybrid cloud 4
- D. Community cloud
Answer: C
NEW QUESTION # 133
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 send Mule application log entries to Splunk
- D. To change tog4j2 tog levels in Anypoint Runtime Manager without having to restart the Mule application
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 # 134
An Integration Mule application is being designed to synchronize customer data between two systems. One system is an IBM Mainframe and the other system is a Salesforce Marketing Cloud (CRM) instance. Both systems have been deployed in their typical configurations, and are to be invoked using the native protocols provided by Salesforce and IBM.
What interface technologies are the most straightforward and appropriate to use in this Mute application to interact with these systems, assuming that Anypoint Connectors exist that implement these interface technologies?
- A. IBM:QCS CRM: SOAP
- B. IBM: Active MQ CRM: REST
- C. IBM: DB access CRM: gRPC
- D. IBM: REST CRM:REST
Answer: B
NEW QUESTION # 135
What is an advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication?
- A. If the access token is compromised, I can be exchanged for an API key.
- B. If the client secret is compromised, the client credentials do not have to be reissued.
- C. If the access token is compromised, the client credentials do not to be reissued.
- D. If the client ID is compromised, it can be exchanged for an API key
Answer: C
Explanation:
The advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication is that if the access token is compromised, the client credentials do not have to be reissued.
OAuth 2.0 is a secure protocol for authenticating clients and authorizing them to access protected resources. It works by having the client authenticate with the authorization server and receive an access token, which is then used to authenticate requests to the API. If the access token is compromised, it can be revoked and replaced without needing to reissue the client credentials.
Reference:
Chapter 7: Security
Section 7.2: OAuth 2.0
NEW QUESTION # 136
What is a key difference between synchronous and asynchronous logging from Mule applications?
- A. Synchronous logging within an ongoing transaction writes log messages in the same thread that processes the current Mule event
- B. Asynchronous logging can improve Mule event processing throughput while also reducing the processing time for each Mule event
- C. Asynchronous logging produces more reliable audit trails with more accurate timestamps
- D. Synchronous logging writes log messages in a single logging thread but does not block the Mule event being processed by the next event processor
Answer: B
Explanation:
Types of logging:
A) Synchronous: The execution of thread that is processing messages is interrupted to wait for the log message to be fully handled before it can continue.
* The execution of the thread that is processing your message is interrupted to wait for the log message to be fully output before it can continue
* Performance degrades because of synchronous logging
* Used when the log is used as an audit trail or when logging ERROR/CRITICAL messages
* If the logger fails to write to disk, the exception would raise on the same thread that's currently processing the Mule event. If logging is critical for you, then you can rollback the transaction.
B) Asynchronous:
* The logging operation occurs in a separate thread, so the actual processing of your message won't be delayed to wait for the logging to complete
* Substantial improvement in throughput and latency of message processing
* Mule runtime engine (Mule) 4 uses Log4j 2 asynchronous logging by default
* The disadvantage of asynchronous logging is error handling.
* If the logger fails to write to disk, the thread doing the processing won't be aware of any issues writing to the disk, so you won't be able to rollback anything. Because the actual writing of the log gets differed, there's a chance that log messages might never make it to disk and get lost, if Mule were to crash before the buffers are flushed.
------------------------------------------------------------------------------------------------------------------ So Correct answer is: Asynchronous logging can improve Mule event processing throughput while also reducing the processing time for each Mule event
NEW QUESTION # 137
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?
- 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. 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
- C. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
- D. Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale
Answer: D
NEW QUESTION # 138
What Is a recommended practice when designing an integration Mule 4 application that reads a large XML payload as a stream?
- A. The payload size should NOT exceed the maximum available heap memory of the Mute runtime on which the Mule application executes
- B. The payload should be dealt with as an XML stream, without converting it to a single Java object (POJO)
- C. The payload must be cached using a Cache scope If It Is to be sent to multiple backend systems
- D. 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
Answer: D
NEW QUESTION # 139
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 In a non-persistent object store
- B. Both Correlation ID values should be stored as Mule event variable/attribute
- C. Both Correlation ID values should be stored in a persistent object store
- D. 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 variable/attribute
Answer: B
NEW QUESTION # 140
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?
- A. To open direct two-way communication between the Mule runtimes of both APIs
- B. To allow communication between the load balancers used by each API
- C. To authorize the certificates used by both the apis
- D. To enable communication from each API's Mule runtimes and network zone to the toad balancer of the other API
Answer: D
NEW QUESTION # 141
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
Customer-hosted runtime plane in multiple AWS regions - B. MuleSoft-hosted Anypoint Platform control plane
CloudHub Shared Worker Cloud in multiple AWS regions - C. MuleSoft-hosted Anypoint Platform control plane
Customer-hosted runtime plane in each datacenter - D. Anypoint Platform - Private Cloud Edition
Customer-hosted runtime plane in each datacenter
Answer: A
NEW QUESTION # 142
A Mule application uses an HTTP Request operation to invoke an external API.
The external API follows the HTTP specification for proper status code usage.
What is a possible cause when a 3xx status code is returned to the HTTP Request operation from the external API?
- A. The request was ACCEPTED by the external API
- B. The request was NOT RECEIVED by the external API
- C. The request was REDIRECTED to a different URL by the external API
- D. The request was NOT ACCEPTED by the external API
Answer: C
Explanation:
Explanation/Reference: https://www.w3.org/Protocols/rfc2616/rfc2616-sec10.html
NEW QUESTION # 143
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