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MuleSoft-Integration-Architect-I Practice Test Pdf & MuleSoft-Integration-Architect-I Test Free

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Salesforce MuleSoft-Integration-Architect-I Exam Syllabus Topics:

Topic
Details

Topic 1

Initiating Integration Solutions on Anypoint Platform: Summarizing MuleSoft Catalyst and Catalyst Knowledge Hub, differentiating between functional and non-functional requirements, selecting features for designing and managing APIs, and choosing deployment options are its sub-topics.

Topic 2

Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.

Topic 3

Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.

Topic 4

Designing for the Runtime Plane Technology Architecture: It includes analyzing Mule runtime clusters, designing solutions for CloudHub, choosing Mule runtime domains, leveraging Mule 4 class loader isolation, and understanding the reactive event processing model.

Topic 5

Designing and Developing Mule Applications: It includes selecting application properties, using fundamental features, designing with core routers, understanding the Salesforce Connector, and leveraging core connectors.

Topic 6

Designing Integration Solutions to Meet Persistence Requirements: It addresses the usage of VM queues and connectors, object stores and services, and stateful components configured with object stores.

Topic 7

Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q125-Q130):

NEW QUESTION # 125
When designing an upstream API and its implementation, the development team has been advised to not set timeouts when invoking downstream API. Because the downstream API has no SLA that can be relied upon.
This is the only donwstream API dependency of that upstream API. Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?

A. A load-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes.
B. An SLA for the upstream API CANNOT be provided.
C. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes.
D. The invocation of the downstream API will run to completion without timing out.

Answer: B

Explanation:
An SLA for the upstream API CANNOT be provided.

NEW QUESTION # 126
Which productivity advantage does Anypoint Platform have to both implement and manage an AP?

A. Automatic API governance
B. Automatic API specification generation
C. Automatic API proxy generation
D. Automatic API semantic versioning

Answer: C

Explanation:
Anypoint Platform provides the productivity advantage of automatic API proxy generation. This feature enables developers to quickly create proxies for their APIs, which act as intermediaries that forward requests to the appropriate backend services. Automatic proxy generation simplifies the process of securing and managing APIs, allowing developers to enforce policies, monitor traffic, and analyze usage without having to manually configure these aspects.
References:
* API Proxies on Anypoint Platform
* Improving API Productivity with Anypoint Platform

NEW QUESTION # 127
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 LEAST ONCE by ONE ARBITRARY CloudHub worker Each of the four CloudHub workers can be expected to process some item VM messages
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. 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
D. 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)

Answer: A

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 # 128
A mule application must periodically process a large dataset which varies from 6 GB lo 8 GB from a back- end database and write transform data lo an FTPS server using a properly configured bad job scope.
The performance requirements of an application are approved to run in the cloud hub 0.2 vCore with 8 GB storage capacity and currency requirements are met.
How can the high rate of records be effectively managed in this application?

A. Use streaming with an in-memory reputable store strategy for reading records from the database and batch aggregator with streaming to write to FTPS
B. Use streaming with a file store repeatable strategy reading records from the database and batch aggregator without any required configuration
C. Use streaming with a file storage repeatable strategy for reading records from the database and batch aggregator with streaming to write to FTPS
D. Use streaming with a file store repeatable strategy for reading records from the database and batch aggregator with an optimal size

Answer: C

Explanation:
For handling large datasets in a Mule application, streaming is an effective strategy. Streaming allows the application to process large amounts of data in chunks, reducing memory usage and improving performance.
Using a file storage repeatable strategy for reading records from the database ensures that the data is read in manageable chunks and stored temporarily in files, which can be re-read if necessary, enhancing reliability.
The batch aggregator with streaming to write to an FTPS server ensures that data is written in chunks, aligning with the processing capabilities of the application running in CloudHub with 0.2 vCore and 8 GB storage. This configuration optimizes performance by balancing the load and managing the dataset size effectively, ensuring that the high rate of records can be processed and written to the FTPS server without overwhelming the system.
References:
* MuleSoft Documentation on Streaming
* MuleSoft Documentation on Batch Processing

NEW QUESTION # 129
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?

A. Business-to-Business (A2B)
B. Supply Chain Management (SCM)
C. IT Service Management (ITSM)
D. Customer Relationship Management (CRM)

Answer: D

Explanation:
Customer Relationship Management (CRM) systems are designed to manage a company's interactions with current and potential customers. They provide capabilities for tracking prospect data, managing customer interactions, and analyzing customer information to improve cross-selling opportunities. By using a CRM system, organizations can consolidate customer information, enhance customer relationships, and leverage data analytics to drive sales and marketing efforts.
References:
* What is CRM?
* Benefits of CRM Systems

NEW QUESTION # 130
......

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