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Latest MuleSoft-Integration-Architect-I Test Vce & Authorized MuleSoft-Integ

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Latest MuleSoft-Integration-Architect-I Test Vce & Authorized MuleSoft-Integ

Posted at yesterday 03:25      View：9 | Replies：1        Print      Only Author   [Copy Link] 1#
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Salesforce MuleSoft-Integration-Architect-I Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 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
  • 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 4
  • Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
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
  • Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 8
  • 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 9
  • 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 (Q31-Q36):NEW QUESTION # 31
A Kubernetes controller automatically adds another pod replica to the resource pool in response to increased application load.
Which scalability option is the controller implementing?
  • A. Vertical
  • B. Diagonal
  • C. Down
  • D. Horizontal
Answer: D
Explanation:
The Kubernetes controller is implementing horizontal scalability by adding another pod replica in response to increased application load. Horizontal scaling involves adding more instances of a service or application to handle the increased load, as opposed to vertical scaling, which would involve adding more resources (CPU, RAM) to a single instance. Horizontal scaling is a key feature of cloud-native applications and is supported by Kubernetes to ensure high availability and performance.
References:
* Kubernetes Horizontal Pod Autoscaling
* Understanding Horizontal vs. Vertical Scaling

NEW QUESTION # 32
A MuteSoft developer must implement an API as a Mule application, run the application locally, and execute unit tests against the Running application.
Which Anypoint Platform component can the developer use to full all of these requirements?
  • A. Anypoint Studio
  • B. API Manager
  • C. Anypoint CLI
  • D. API Designer
Answer: A

NEW QUESTION # 33
An architect is designing a Mule application to meet the following two requirements:
1. The application must process files asynchronously and reliably from an FTPS server to a back-end database using VM intermediary queues for load-balancing Mule events.
2. The application must process a medium rate of records from a source to a target system using a Batch Job scope.
To make the Mule application more reliable, the Mule application will be deployed to two CloudHub 1.0 workers.
Following MuleSoft-recommended best practices, how should the Mule application deployment typically be configured in Runtime Manger to best support the performance and reliability goals of both the Batch Job scope and the file processing VM queues?
  • A. Check the Persistent VM queues checkbox in the application deployment configuration
  • B. In the Runtime Manager Properties tab, disable persistent VM queues for Batch Job scopes
  • C. Check the Non-persistent VM queues checkbox in the application deployment configuration
  • D. In the Runtime Manager Properties tab, enable persistent VM queues for the FTPS connector
Answer: A

NEW QUESTION # 34
A mule application is deployed to a Single Cloudhub worker and the public URL appears in Runtime Manager as the APP URL.
Requests are sent by external web clients over the public internet to the mule application App url. Each of these requests routed to the HTTPS Listener event source of the running Mule application.
Later, the DevOps team edits some properties of this running Mule application in Runtime Manager.
Immediately after the new property values are applied in runtime manager, how is the current Mule application deployment affected and how will future web client requests to the Mule application be handled?
  • A. Cloudhub will redeploy the mule application to the OLD Cloudhub worker New web client requests are ROUTED to the OLD Cloudhub worker BOTH before and after the Mule application is redeployed.
  • B. CloudHub will redeploy the Mule application to a NEW Cloudhub worker New web client requests will RETURN AN ERROR until the NEW Cloudhub worker is available
  • C. Cloudhub will redeploy the Mule application to the OLD Cloudhub worker New web client requests will RETURN AN ERROR until the Mule application is redeployed to the OLD Cloudhub worker
  • D. Cloudhub will redeploy the Mule application to a NEW Cloudhub worker New web client requests are ROUTED to the OLD Cloudhub worker until the NEW Cloudhub worker is available.
Answer: D
Explanation:
CloudHub supports updating your applications at runtime so end users of your HTTP APIs experience zero downtime. While your application update is deploying, CloudHub keeps the old version of your application running. Your domain points to the old version of your application until the newly uploaded version is fully started. This allows you to keep servicing requests from your old application while the new version of your application is starting.

NEW QUESTION # 35
What approach configures an API gateway to hide sensitive data exchanged between API consumers and API implementations, but can convert tokenized fields back to their original value for other API requests or responses, without having to recode the API implementations?
  • A. Use a field-level encryption policy in an API gateway to replace sensitive fields in message payload with encrypted values, and apply a corresponding field-level decryption policy to return the original values to other APIs
  • B. Create a tokenization format and use it to apply a tokenization policy in an API gateway to replace sensitive fields in message payload with similarly formatted tokenized values, and apply a corresponding detokenization policy to return the original values to other APIs
  • C. Create both masking and tokenization formats and use both to apply a tokenization policy in an API gateway to mask sensitive values in message payloads withcharacters, and apply a corresponding detokenization policy to return the original values to other APIs
  • D. Create a masking format and use it to apply a tokenization policy in an API gateway to mask sensitive values in message payloads with characters, and apply a corresponding detokenization policy to return the original values to other APIs
Answer: B
Explanation:
To hide sensitive data exchanged between API consumers and API implementations while allowing the conversion of tokenized fields back to their original values for other API requests or responses, the best approach is to use tokenization. This involves:
* Tokenization Format: Create a tokenization format that will be used to apply a tokenization policy in the API gateway. This format ensures that sensitive fields in message payloads are replaced with tokenized values that maintain a similar format, making them less recognizable as sensitive data.
* Tokenization Policy: Apply a tokenization policy in the API gateway that replaces sensitive data with tokenized values.
* Detokenization Policy: Apply a corresponding detokenization policy in the API gateway to convert tokenized values back to their original values when required by other APIs.
This method does not require recoding the API implementations and ensures that sensitive data is protected while still being accessible in its original form when necessary.
References
* MuleSoft Documentation on Tokenization Policies
* API Gateway Security Best Practices

NEW QUESTION # 36
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