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MuleSoft is a leading provider of integration technology that allows businesses to connect and integrate their applications, data, and devices. MCIA-Level-1 (MuleSoft Certified Integration Architect - Level 1) is a certification exam designed for integration architects who want to demonstrate their understanding of MuleSoft's Anypoint Platform and their ability to design and build efficient, scalable, and secure integrations.

The MuleSoft MCIA-Level-1 exam is designed to certify the skills and knowledge of integration architects in building and designing effective and efficient integration solutions using MuleSoft's Anypoint Platform. The exam tests the candidate's ability to develop integration solutions that meet business requirements, ensure scalability and maintainability, and adhere to best practices and industry standards. It covers a broad range of topics, including API-led connectivity, data transformation, message routing, error handling, security, and deployment.

To prepare for the MCIA-Level-1 exam, candidates can take advantage of MuleSoft's training courses, online resources, and practice exams. The exam is computer-based and consists of multiple-choice questions. Candidates have 120 minutes to complete the exam and must score at least 70% to pass. Upon passing the exam, candidates will receive the MCIA-Level-1 certification, which is valid for two years.

 

NEW QUESTION # 87
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 VM Queue
• C. Persistent Anypoint MQ Queue
• D. Persistent Cache Scope

Answer: A

Explanation:
* 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.
2) Persistent store - Mule persists data when an object store is explicitly configured to be persistent.
In a standalone Mule runtime, Mule creates a default persistent store in the file system. If you do not specify an object store, the default persistent object store is used.
MuleSoft Reference: https://docs.mulesoft.com/mule-runtime/3.9/mule-object-stores

NEW QUESTION # 88
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?

• A. Each message is routed to the SAME Cloudhub worker that retrieved the file, thereby BINDING ALL messages to ONLY that ONE Cloudhub worker
• B. 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
• C. Each message is routed to ONE of the Cloudhub workers in a DETERMINSTIC round robin fashion thereby EXACTLY BALANCING messages among the cloudhub workers
• D. Each message is duplicated to ALL of the Cloudhub workers, thereby SHARING EACH message with ALL the Cloudhub workers.

Answer: B

NEW QUESTION # 89
An organization has deployed runtime fabric on an eight note cluster with performance profile. An API uses and non persistent object store for maintaining some of its state dat a. What will be the impact to the stale data if server crashes?

• A. State data is preserved
• B. State data is lost
• C. State data is rolled back to a previously saved version
• D. State data is preserved as long as more than one more is unaffected by the crash

Answer: D

NEW QUESTION # 90
Which Salesforce API is invoked to deploy, retrieve, create or delete customization information such as custom object definitions using a Mule Salesforce connector in a Mule application?

• A. REST API
• B. Metadata API
• C. Bulk API
• D. SOAP API

Answer: A

NEW QUESTION # 91
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?

• A. 50% reduction In the JVM heap memory consumed by each node
• B. 100% increase in the throughput of the API
• C. 50% reduction In the number of requests being received by each node
• D. 50% reduction in the response time of the API

Answer: C

NEW QUESTION # 92
An API implementation is being developed to expose data from a production database via HTTP requests. The API implementation executes a database SELECT statement that is dynamically created based upon data received from each incoming HTTP request. The developers are planning to use various types of testing to make sure the Mule application works as expected, can handle specific workloads, and behaves correctly from an API consumer perspective. What type of testing would typically mock the results from each SELECT statement rather than actually execute it in the production database?

• A. Functional testing (black box)
• B. Integration testing
• C. Performance testing
• D. Unit testing (white box)

Answer: D

Explanation:
In Unit testing instead of using actual backends, stubs are used for the backend services. This ensures that developers are not blocked and have no dependency on other systems.

NEW QUESTION # 93
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. A new load balancer must be provisioned to allow traffic to the new nodes in a round-robin fashion
• B. External monitoring tools or log aggregators must be configured to recognize the new nodes
• C. API implementations using an object store must be adjusted to recognize the new nodes and persist to them
• D. New firewall rules must be configured to accommodate communication between API clients and the new nodes

Answer: B

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 # 94
A mule application is being designed to perform product orchestration. The Mule application needs to join together the responses from an inventory API and a Product Sales History API with the least latency.
To minimize the overall latency. What is the most idiomatic (used for its intended purpose) design to call each API request in the Mule application?

• A. Call each API request in a separate lookup call from Dataweave reduce operator
• B. Call each API request in a separate route of a Scatter-Gather
• C. Call each API request in a separate Async scope
• D. Call each API request in a separate route of a Parallel For Each scope

Answer: B

NEW QUESTION # 95
Refer to the exhibit.

A Mule application isdeployed 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 fromthe 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 aresponse 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 3so 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. 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
• C. Both Correlation IDvalues should be stored as Mule event variable/attribute
• D. Both Correlation ID values should be stored in a persistent object store

Answer: C

NEW QUESTION # 96
A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity. The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms. If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired SLA?

• A. Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries
• B. Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete
• C. No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API
• D. Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds

Answer: C

Explanation:
Before we answer this question , we need to understand what median (50th percentile) and 80th percentile means. If the 50th percentile (median) of a response time is 500ms that means that 50% of my transactions are either as fast or faster than 500ms.
If the 90th percentile of the same transaction is at 1000ms it means that 90% are as fast or faster and only 10% are slower. Now as per upstream SLA , 99th percentile is 800 ms which means 99% of the incoming requests should have response time less than or equal to 800 ms. But as per one of the backend API , their 95th percentile is 1000 ms which means that backend API will take 1000 ms or less than that for 95% of. requests. As there are three API invocation from upstream API , we can not conclude a timeout that can be set to meet the desired SLA as backend SLA's do not support it.
Let see why other answers are not correct.
1) Do not set a timeout --> This can potentially violate SLA's of upstream API
2) Set a timeout of 100 ms; ---> This will not work as backend API has 100 ms as median meaning only 50% requests will be answered in this time and we will get timeout for 50% of the requests. Important thing to note here is, All APIs need to be executed sequentially, so if you get timeout in first API, there is no use of going to second and third API. As a service provider you wouldn't want to keep 50% of your consumers dissatisfied. So not the best option to go with.
*To quote an example: Let's assume you have built an API to update customer contact details.
- First API is fetching customer number based on login credentials
- Second API is fetching Info in 1 table and returning unique key
- Third API, using unique key provided in second API as primary key, updating remaining details
* Now consider, if API times out in first API and can't fetch customer number, in this case, it's useless to call API 2 and 3 and that is why question mentions specifically that all APIs need to be executed sequentially.
3) Set a timeout of 50 ms --> Again not possible due to the same reason as above Hence correct answer is No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API

NEW QUESTION # 97
What API policy would LEAST likely be applied to a Process API?

• A. JSON threat protection
• B. Rate limiting
• C. Client ID enforcement
• D. Custom circuit breaker

Answer: A

Explanation:
Key to this question lies in the fact that Process API are not meant to be accessed directly by clients. Lets analyze options one by one. Client ID enforcement : This is applied at process API level generally to ensure that identity of API clients is always known and available for API-based analytics Rate Limiting : This policy is applied on Process Level API to secure API's against degradation of service that can happen in case load received is more than it can handle Custom circuit breaker : This is also quite useful feature on process level API's as it saves the API client the wasted time and effort of invoking a failing API. JSON threat protection : This policy is not required at Process API and rather implemented as Experience API's. This policy is used to safeguard application from malicious attacks by injecting malicious code in JSON object. As ideally Process API's are never called from external world , this policy is never used on Process API's Hence correct answer is JSON threat protection MuleSoft Documentation Reference : https://docs.mulesoft.com/api-manager/2.x/policy-mule3-json-threat

NEW QUESTION # 98
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?

• A. 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)
• B. ALL item VM messages are processed AT MOST ONCE by ONE ARBITRARY CloudHub worker This one CloudHub worker processes ALL 200 item VM messages
• C. 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
• D. 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

Answer: C

NEW QUESTION # 99
What aspects of a CI/CD pipeline for Mute applications can be automated using MuleSoft-provided Maven plugins?

• A. Compile, package, unit test, deploy, integration test
• B. Compile, package, unit test, validate unit test coverage, deploy
• C. Compile, package, unit test, deploy, create associated API instances in API Manager B Import from API designer, compile, package, unit test, deploy, publish to Am/point Exchange

Answer: B

NEW QUESTION # 100
A Mule application contains a Batch Job with two Batch Steps (Batch_Step_1 and Batch_Step_2). A payload with 1000 records is received by the Batch Job.
How many threads are used by the Batch Job to process records, and how does each Batch Step process records within the Batch Job?

• A. Each Batch Job uses SEVERAL THREADS for the Batch Steps
  Each Batch Step instance receives ONE record at a time as the payload, and BATCH STEP INSTANCES execute IN PARALLEL to process records and Batch Steps in ANY order as fast as possible
• B. Each Batch Job uses a SINGLE THREAD for all Batch Steps
  Each Batch Step instance receives ONE record at a time as the payload, and RECORDS are processed IN ORDER, first through Batch_Step_1 and then through Batch_Step_2
• C. Each Batch Job uses SEVERAL THREADS for the Batch Steps
  Each Batch Step instance receives ONE record at a time as the payload, and RECORDS are processed IN PARALLEL within and between the two Batch Steps
• D. Each Batch Job uses a SINGLE THREAD to process a configured block size of record Each Batch Step instance receives A BLOCK OF records as the payload, and BLOCKS of records are processed IN ORDER

Answer: A

Explanation:
Explanation/Reference: https://docs.mulesoft.com/mule-runtime/3.8/batch-processing

NEW QUESTION # 101
An organization is designing a mule application to support an all or nothing transaction between serval database operations and some other connectors so that they all roll back if there is a problem with any of the connectors Besides the database connector , what other connector can be used in the transaction.

• A. SFTP
• B. VM
• C. Anypoint MQ
• D. ObjectStore

Answer: C

NEW QUESTION # 102
Mule application is deployed to Customer Hosted Runtime. Asynchronous logging was implemented to improved throughput of the system. But it was observed over the period of time that few of the important exception log messages which were used to rollback transactions are not working as expected causing huge loss to the Organization. Organization wants to avoid these losses. Application also has constraints due to which they cant compromise on throughput much. What is the possible option in this case?

• A. Persistent memory storage should be used in such scenarios
• B. External log appender needs to be used in this case
• C. Logging needs to be changed from asynchronous to synchronous
• D. Mixed configuration of asynchronous or synchronous loggers should be used to log exceptions via synchronous way

Answer: D

Explanation:
Correct approach is to use Mixed configuration of asynchronous or synchronous loggers shoud be used to log exceptions via synchronous way Asynchronous logging poses a performance-reliability trade-off. You may lose some messages if Mule crashes before the logging buffers flush to the disk. In this case, consider that you can have a mixed configuration of asynchronous or synchronous loggers in your app. Best practice is to use asynchronous logging over synchronous with a minimum logging level of WARN for a production application. In some cases, enable INFO logging level when you need to confirm events such as successful policy installation or to perform troubleshooting. Configure your logging strategy by editing your application's src/main/resources/log4j2.xml file

NEW QUESTION # 103
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 REDIRECTED to a different URL by the external API
• B. The request was NOT RECEIVED by the external API
• C. The request was ACCEPTED by the external API
• D. The request was NOT ACCEPTED by the external API

Answer: A

Explanation:
Explanation/Reference: https://www.w3.org/Protocols/rfc2616/rfc2616-sec10.html

NEW QUESTION # 104
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 VM Queue
• C. Persistent Anypoint MQ Queue
• D. Persistent Cache Scope

Answer: A

NEW QUESTION # 105
An organization has decided on a cloudhub migrationstrategy that aims to minimize the organizations own IT resources. Currently, the organizational has all of its Mule applications running on its own premises and uses an premises load balancer that exposes all APIs under the base URL https://api.acme.com As part of the migration strategy, the organization plans to migrate all of its Mule applications and load balancer to cloudhub What is the most straight-forward and cost effective approach to the Mule applications deployment and load balancing that preserves the public URLs?

• A. For each migrated Mule application, deploy an API proxy Mule application to Cloudhub with all applications under the control of a dedicated load balancer(CLB) Update the CNAME record for api.acme.com in the organization DNS server pointing to the A record of a cloudhub dedicated load balancer(DLB) Apply mapping rules in the DLB to map each API proxy application to its corresponding Mule applications
• B. Deploy the Mule applications to Cloudhub
  Update the CNAME record for api.acme.com in the organization DNS server pointing to the A record of the cloudhub shared load balancer(SLB) Apply mapping rules in the SLB to map URLs to their corresponding Mule applications.
• C. Deploy the Mule applications to Cloudhub
  Update the CNAME record for an api.acme.com in the organizations DNS server pointing to the A record of a cloudhub dedicated load balancer(DLB) Apply mapping rules in the DLB to map URLs totheir corresponding Mule applications
• D. Deploy the Mule applications to Cloudhub
  Create CNAME record for api.acme.com in the Cloudhub Shared load balancer (SLB) pointing to the A record of the on-premise load balancer Apply mapping rules in the SLB to map URLs to their corresponding Mule applications

Answer: C

Explanation:
Explanation
https://help.mulesoft.com/s/feed/0D52T000055pzgsSAA.

NEW QUESTION # 106
An organization has various integrations implemented as Mule applications. Some of these Mule applications are deployed to custom hosted Mule runtimes (on-premises) while others execute in the MuleSoft-hosted runtime plane (CloudHub). To perform the Integra functionality, these Mule applications connect to various backend systems, with multiple applications typically needing to access the backend systems.
How can the organization most effectively avoid creating duplicates in each Mule application of the credentials required to access the backend systems?

• A. 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
• B. 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 toad the properties at startup by invoking that credentials service
• C. 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
• D. 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

Answer: C

NEW QUESTION # 107
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?

• A. 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)
• B. ALL item VM messages are processed AT MOST ONCE by ONE ARBITRARY CloudHub worker This one CloudHub worker processes ALL 200 item VM messages
• C. 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
• D. 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

Answer: C

Explanation:
Correct answer is 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 In Cloudhub, each persistent VM queue is listened on by every CloudHub worker - But each message is read and processed at least once by only one CloudHub worker and the duplicate processing is possible - If the CloudHub worker fails , the message can be read by another worker to prevent loss of messages and this can lead to duplicate processing - By default , every CloudHub worker's VM Listener receives different messages from VM Queue Referenece: https://dzone.com/articles/deploying-mulesoft-application-on-1-worker-vs-mult

NEW QUESTION # 108
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