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MuleSoft-Integration-Architect-I Valid Exam Answers - MuleSoft-Integration-Architect-I Latest Study Notes

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

Topic
Details

Topic 1

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 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 Architecture Using Integration Paradigms: This topic focuses on creating high-level integration architectures using various paradigms. It includes API-led connectivity, web APIs and HTTP, event-driven APIs, and message brokers, and designing Mule application using messaging patterns and technologies.

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

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.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q271-Q276):

NEW QUESTION # 271
What is the MuleSoft-recommended best practice to share the connector and configuration information among the APIs?

A. Build a Mule domain project, add the Database connector and configuration to it, and reference this one domain project from each System API
B. Build another System API that connects to the database, and refactor all the other APIs to make requests through the new System API to access the database
C. Create an API proxy for each System API and share the Database connector configuration with all the API proxies via an automated policy
D. Build a separate Mule domain project for each API, and configure each of them to use a file on a shared file store to load the configuration information dynamically

Answer: A

Explanation:
The MuleSoft-recommended best practice for sharing the connector and configuration information among multiple APIs is to use a Mule domain project. The steps are:
* Create a Mule domain project.
* Add the Database connector and its configuration to the domain project.
* Reference this domain project from each System API that needs to use the Database connector and configuration.
By using a domain project, you centralize the configuration and reuse it across multiple APIs. This approach ensures consistency, reduces duplication, and simplifies maintenance and updates to the connector configuration.
References
* MuleSoft Documentation on Domain Projects
* Best Practices for Reusable Configuration in MuleSoft

NEW QUESTION # 272
A system API EmployeeSAPI is used to fetch employee's data from an underlying SQL database.
The architect must design a caching strategy to query the database only when there is an update to the employees stable or else return a cached response in order to minimize the number of redundant transactions being handled by the database.
What must the architect do to achieve the caching objective?

A. Use an on table rule on employees table call invalidate cache and said new employees data to cache Use an object store caching strategy and set expiration interval to 1-hour
B. Use an On Table Row on employees table and call invalidate cache
Use an object store caching strategy and expiration interval to empty
C. Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and expiration interval to empty
D. Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and set expiration interval to 1-hour

Answer: B

NEW QUESTION # 273
In preparation for a digital transformation initiative, an organization is reviewing related IT integration projects that failed for various for reason.
According to MuleSoft's surveys of global IT leaders, what is a common cause of IT project failure that this organization may likely discover in its assessment?

A. Lack of alignment around business outcomes
B. Reliance on an Integration-Platform-as-a-Service (iPaaS)
C. Spending too much time on enablement
D. Following an Agile delivery methodology

Answer: A

Explanation:
According to MuleSoft's surveys of global IT leaders, a common cause of IT project failure is a lack of alignment around business outcomes. When IT projects do not have clear business objectives or fail to align with the strategic goals of the organization, they are more likely to face challenges and fail to deliver value.
Ensuring that IT initiatives are closely tied to business goals and have stakeholder buy-in is crucial for their success.
References:
* Why IT Projects Fail
* Aligning IT and Business Strategies

NEW QUESTION # 274
What is a key difference between synchronous and asynchronous logging from Mule applications?

A. Asynchronous logging produces more reliable audit trails with more accurate timestamps
B. Synchronous logging within an ongoing transaction writes log messages in the same thread that processes the current Mule event
C. Asynchronous logging can improve Mule event processing throughput while also reducing the processing time for each Mule event
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: C

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 # 275
As a part of project requirement, client will send a stream of data to mule application. Payload size can vary between 10mb to 5GB. Mule application is required to transform the data and send across multiple sftp servers. Due to the cost cuttings in the organization, mule application can only be allocated one worker with size of 0.2 vCore.
As an integration architect , which streaming strategy you would suggest to handle this scenario?

A. In-memory non repeatable stream
B. File based repeatable storage
C. In-memory repeatable stream
D. File based non-repeatable stream

Answer: B

Explanation:
As the question says that data needs to be sent across multiple sftp serves , we cannot use non-repeatable streams. The non-repeatable strategy disables repeatable streams, which enables you to read an input stream only once.
You cant use in memory storage because with 0.2 vcore you will get only 1 GB of heap memory. Hence application will error out for file more than 1 GB.
Hence the correct option is file base repeatable stream

NEW QUESTION # 276
......

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