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Salesforce MuleSoft-Integration-Architect-I Exam Overview:

Certification Vendor:	Salesforce / MuleSoft
Exam Name:	Salesforce Certified MuleSoft Integration Architect I
Exam Number:	MuleSoft-Integration-Architect-I
Related Certifications:	Salesforce Certified MuleSoft Platform Architect
Exam Format:	Multiple-choice, Scenario-based
Exam Duration:	120 minutes
Passing Score:	70%
Available Languages:	English
Real Exam Qty:	60
Exam Price:	USD 400
Sample Questions:	Salesforce MuleSoft-Integration-Architect-I Sample Questions
Exam Way:	Proctored online or at a testing center
Pre Condition:	Salesforce Certified MuleSoft Developer (recommended but not required)
Official Syllabus URL:	https://trailhead.salesforce.com/credentials/mulesoftintegrationarchitecti

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

Topic	Details
Topic 1	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 2	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 3	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 4	Designing Integration Solutions to Meet Security Requirements: This topic emphasizes securing access to the Anypoint Platform and APIs, using Anypoint Security, counteracting security vulnerabilities, and understanding audit logging capabilities.
Topic 5	Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 6	Applying DevOps Practices and Operating Integration Solutions: Its sub-topics are related to designing CI CD pipelines with MuleSoft plugins, automating interactions with Anypoint Platform, designing logging configurations, and identifying Anypoint Monitoring features.

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q34-Q39):

NEW QUESTION # 34
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 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
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 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
D. 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

Answer: B

NEW QUESTION # 35
The AnyAirline organization's passenger reservations center is designing an integration solution that combines invocations of three different System APIs (bookFlight, bookHotel, and bookCar) in a business transaction. Each System API makes calls to a single database.
The entire business transaction must be rolled back when at least one of the APIs fails.
What is the most idiomatic (used for its intended purpose) way to integrate these APIs in near real-time that provides the best balance of consistency, performance, and reliability?

A. Implement local transactions within each API implementation
Configure each API implementation to also participate in the same eXtended Architecture (XA) transaction Implement caching in each API implementation to improve performance
B. Implement local transactions in each API implementation
Coordinate between the API implementations using a Saga pattern
Apply various compensating actions depending on where a failure occurs
C. Implement eXtended Architecture (XA) transactions between the API implementations Coordinate between the API implementations using a Saga pattern Implement caching in each API implementation to improve performance
D. Implement an eXtended Architecture (XA) transaction manager in a Mule application using a Saga pattern Connect each API implementation with the Mule application using XA transactions Apply various compensating actions depending on where a failure occurs

Answer: B

NEW QUESTION # 36
An integration Mute application consumes and processes a list of rows from a CSV file. Each row must be read from the CSV file, validated, and the row data sent to a JMS queue, in the exact order as in the CSV file.
If any processing step for a row falls, then a log entry must be written for that row, but processing of other rows must not be affected.
What combination of Mute components is most idiomatic (used according to their intended purpose) when Implementing the above requirements?

A. Async scope On Error Propagate scope
B. Scatter-Gather component On Error Continue scope
C. VM connector first Successful scope On Error Propagate scope
D. For Each scope On Error Continue scope

Answer: D

Explanation:
* On Error Propagate halts execution and sends error to the client. In this scenario it's mentioned that "processing of other rows must not be affected" so Option B and C are ruled out.
* Scatter gather is used to club multiple responses together before processing. In this scenario, we need sequential processing. So option A is out of choice.
* Correct answer is For Each scope & On Error Continue scope Below requirement can be fulfilled in the below way
1) Using For Each scope , which will send each row from csv file sequentially. each row needs to be sent sequentially as requirement is to send the message in exactly the same way as it is mentioned in the csv file
2) Also other part of requirement is if any processing step for a row fails then it should log an error but should not affect other record processing . This can be achieved using On error Continue scope on these set of activities. so that error will not halt the processing. Also logger needs to be added in error handling section so that it can be logged.
* Attaching diagram for reference. Here it's try scope, but similar would be the case with For Each loop.

NEW QUESTION # 37
A stock broking company makes use of CloudHub VPC to deploy Mule applications. Mule application needs to connect to a database application in the customers on-premises corporate data center and also to a Kafka cluster running in AWS VPC.
How is access enabled for the API to connect to the database application and Kafka cluster securely?

A. Setup VPC peering with the customers onto my service corporate data center and Anypoint VPN to AWS VPC
B. Setup VPC peering with AWS VPC and the customers devices corporate data center
C. Set up a transit gateway to the customers on-premises corporate datacenter to AWS VPC
D. Setup AnyPoint VPN to the customer's on-premise corporate data
center and VPC peering with AWS VPC

Answer: D

Explanation:
* Requirement Analysis: The Mule application needs secure access to both an on-premises database and a Kafka cluster in AWS VPC.
* Solution: Setting up Anypoint VPN for the on-premises corporate data center and VPC peering with AWS VPC ensures secure and seamless connectivity.
* Implementation Steps:
* Anypoint VPN Setup:
* In the Anypoint Platform, navigate to the VPN configuration.
* Create a new VPN connection between the CloudHub VPC and the on-premises corporate data center.
* Configure the necessary VPN parameters such as IP address, shared secret, and routing information.
* Establish the VPN tunnel and verify connectivity.
* VPC Peering Setup:
* In the AWS Management Console, navigate to the VPC dashboard.
* Create a VPC peering connection between the AWS VPC (where Kafka is hosted) and the CloudHub VPC.
* Configure the necessary route tables to allow traffic between the peered VPCs.
* Verify the peering connection and ensure that the routing is correctly set up to allow communication between the Mule application and the Kafka cluster.
* Testing: Conduct thorough testing to ensure the Mule application can securely connect to both the on-premises database and the Kafka cluster in AWS.
* Advantages:
* Security: Ensures secure communication channels between CloudHub VPC, on-premises data center, and AWS VPC.
* Reliability: Provides a robust and reliable network setup for accessing critical infrastructure components.
References
* MuleSoft Documentation on Anypoint VPN
* AWS Documentation on VPC Peering

NEW QUESTION # 38
An organization has chosen Mulesoft for their integration and API platform.
According to the Mulesoft catalyst framework, what would an integration architect do to create achievement goals as part of their business outcomes?

A. evangelize API's
B. build and publish foundational assets
C. Measure the impact of the centre for enablement
D. agree upon KPI's and help develop and overall success plan

Answer: D

Explanation:
According to the MuleSoft Catalyst framework, an Integration Architect plays a crucial role in defining and achieving business outcomes. One of their key responsibilities is to agree upon Key Performance Indicators (KPIs) and help develop an overall success plan. This involves working with stakeholders to identify measurable goals and ensure that the integration initiatives align with the organization's strategic objectives.
KPIs are critical for tracking progress, measuring success, and making data-driven decisions. By agreeing on KPIs and developing a success plan, the Integration Architect ensures that the organization can objectively measure the impact of its integration efforts and adjust strategies as needed to achieve desired business outcomes.
References:
* MuleSoft Catalyst Knowledge Hub

NEW QUESTION # 39
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