FREE PDF SALESFORCE - MULESOFT-INTEGRATION-ARCHITECT-I - USEFUL PRACTICE SALESFORCE CERTIFIED MULESOFT INTEGRATION ARCHITECT I TEST ONLINE

Free PDF Salesforce - MuleSoft-Integration-Architect-I - Useful Practice Salesforce Certified MuleSoft Integration Architect I Test Online

Free PDF Salesforce - MuleSoft-Integration-Architect-I - Useful Practice Salesforce Certified MuleSoft Integration Architect I Test Online

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

TopicDetails
Topic 1
  • Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 2
  • 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 3
  • 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.
Topic 4
  • 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 5
  • 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.

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q84-Q89):

NEW QUESTION # 84
An airline is architecting an API connectivity project to integrate its flight data into an online aggregation website. The interface must allow for secure communication high-performance and asynchronous message exchange.
What are suitable interface technologies for this integration assuming that Mulesoft fully supports these technologies and that Anypoint connectors exist for these interfaces?

  • A. AsyncAPI over HTTPS
    AMQP with RabbitMQ JSON/REST over HTTPS
  • B. XML over ActiveMQ XML over SFTP XML/REST over HTTPS
  • C. CSV over FTP YAM L over TLS JSON over HTTPS
  • D. SOAP over HTTPS HOP over TLS gRPC over HTTPS

Answer: A


NEW QUESTION # 85
When the mule application using VM is deployed to a customer-hosted cluster or multiple cloudhub workers, how are messages consumed by the Mule engine?

  • A. in a deterministic way
  • B. by starting an XA transaction for each new message
  • C. in non-deterministic way
  • D. the primary only in order to avoid duplicate processing

Answer: C

Explanation:
When a Mule application using VM (Virtual Machine) queues is deployed to a customer-hosted cluster or multiple CloudHub workers, the messages are consumed by the Mule engine in a non-deterministic way. Here' s an in-depth explanation:
* VM Queues Overview:
* VM queues in Mule applications are used for intra-application communication, allowing different flows within the same application to exchange messages.
* Deployment in Clusters or Multiple Workers:
* Customer-Hosted Cluster: In a customer-hosted cluster, multiple Mule runtime instances work together to process messages. Each instance can pick up messages from the VM queue.
* CloudHub Workers: When deployed on CloudHub, multiple worker instances can run the same Mule application, and each worker can access the VM queue.
* Non-Deterministic Message Consumption:
* Load Distribution: Messages are distributed among the available nodes or workers based on their availability. This means any node or worker that is ready to process a message can pick it up from the queue.
* No Guaranteed Order: Because any available node or worker can consume messages, the order in which messages are processed is not guaranteed, making the consumption non-deterministic.
* Parallel Processing: This approach allows for parallel processing of messages, which improves the scalability and throughput of the application.
* Advantages:
* Scalability: By allowing multiple nodes or workers to process messages, the system can handle increased load more effectively.
* Fault Tolerance: If one node or worker fails, other nodes/workers can continue processing messages from the VM queue, providing higher availability.
* Considerations:
* Idempotency: Ensure that the processing logic is idempotent, meaning that processing the same message more than once does not produce different outcomes. This is crucial in a non- deterministic consumption environment to avoid issues with data consistency.
* Transaction Management: Proper transaction management should be in place to handle scenarios where a message might need to be reprocessed due to errors.
References:
* MuleSoft Documentation on VM Connector
* MuleSoft Documentation on High Availability Clustering
* MuleSoft Documentation on Deploying to CloudHub


NEW QUESTION # 86
The retrieveBalances flow in the Mule application is designed to use an operation in a connector to the Finance system (the Finance operation) that can only look up one account record at a time, and a operation from a different connector to the Audit system (the Audit operation) that can only insert one account record at a time.
To best meet the performance-related requirements, what scope or scopes should be used and how should they be used to incorporate the Finance operation and Audit operation into the retrieveBalances flow?

  • A. Wrap the Finance operation in a Parallel For-Each scope. Wrap the Audit operation in a Async scope.
  • B. Wrap both connector operations in a For-Each scope.
  • C. Wrap both connector operations in a Async scope.
  • D. Wrap the Finance operation in a Until-Successful scope. Wrap the Audit operation in a Try-Catch scope.

Answer: A

Explanation:
* Understanding the Operations:
* The Finance operation can only look up one account record at a time.
* The Audit operation can only insert one account record at a time.
* Parallel For-Each Scope:
* Finance Operation: Use a Parallel For-Each scope to process multiple account lookups simultaneously.
* This improves performance by allowing concurrent processing of account records, leveraging parallelism.
* Async Scope:
* Audit Operation: Use an Async scope to handle the insertion of account records independently.
* The Async scope ensures that the Audit operation does not block the main processing flow, allowing other processes to continue without waiting for the Audit operation to complete.
* Performance Optimization:
* Combining Parallel For-Each for the Finance operation and Async scope for the Audit operation maximizes throughput.
* This approach ensures efficient use of resources and reduces latency by parallelizing account lookups and asynchronously handling audit inserts.
References:
* MuleSoft Documentation on Scopes: Mule Scopes
* MuleSoft Best Practices for Performance: Performance Best Practices


NEW QUESTION # 87
A Mule application is being designed for deployment to a single CloudHub worker. The Mule application will have a flow that connects to a SaaS system to perform some operations each time the flow is invoked.
The SaaS system connector has operations that can be configured to request a short-lived token (fifteen minutes) that can be reused for subsequent connections within the fifteen minute time window. After the token expires, a new token must be requested and stored.
What is the most performant and idiomatic (used for its intended purpose) Anypoint Platform component or service to use to support persisting and reusing tokens in the Mule application to help speed up reconnecting the Mule application to the SaaS application?

  • A. Persistent object store
  • B. Variable
  • C. Nonpersistent object store
  • D. Database

Answer: D


NEW QUESTION # 88
Which key DevOps practice and associated Anypoint Platform component should a MuteSoft integration team adopt to improve delivery quality?

  • A. A Continuous design with API Designer
  • B. Passive monitoring with Anypoint Monitoring
  • C. Automated testing with MUnit
  • D. Manual testing with Anypoint Studio

Answer: C

Explanation:
To improve delivery quality, a MuleSoft integration team should adopt automated testing with MUnit. MUnit is MuleSoft's testing framework that allows developers to create, design, and run unit and integration tests on their Mule applications. Automated testing with MUnit ensures that each part of the Mule application is tested for correctness and performance, catching issues early in the development cycle. This practice leads to higher quality code, reduced defects, and more reliable integrations.
Other practices mentioned, such as continuous design with API Designer and passive monitoring with Anypoint Monitoring, are important but do not directly address the need for rigorous and automated testing to ensure quality.
References
* MuleSoft Documentation on MUnit
* Best Practices for Automated Testing with MUnit


NEW QUESTION # 89
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