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

TopicDetails
Topic 1
  • 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.
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 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 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 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 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 (Q92-Q97):

NEW QUESTION # 92
According to the Internet Engineering Task Force (IETF), which supporting protocol does File Transfer Protocol (FTP) use for reliable communication?

Answer: B

Explanation:
The File Transfer Protocol (FTP) uses the Transmission Control Protocol (TCP) for reliable communication.
TCP is one of the core protocols of the Internet Protocol Suite and provides reliable, ordered, and error- checked delivery of a stream of data between applications running on hosts communicating via an IP network.
FTP relies on TCP to ensure that all data packets are delivered accurately and in the correct sequence, which is essential for the reliable transfer of files between a client and server.
References
* IETF RFC 959 - File Transfer Protocol (FTP)
* TCP/IP Protocol Suite Documentation


NEW QUESTION # 93
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?

Answer: A

Explanation:
Correct answer is Request size, number of requests, response size, response time Analytics API Analytics can provide insight into how your APIs are being used and how they are performing. From API Manager, you can access the Analytics dashboard, create a custom dashboard, create and manage charts, and create reports. From API Manager, you can get following types of analytics: - API viewing analytics - API events analytics - Charted metrics in API Manager It can be accessed using: http://anypoint.mulesoft.com/analytics API Analytics provides a summary in chart form of requests, top apps, and latency for a particular duration.
The custom dashboard in Anypoint Analytics contains a set of charts for a single API or for all APIs Each chart displays various API characteristics
- Requests size: Line chart representing size of requests in KBs
- Requests : Line chart representing number of requests over a period
- Response size : Line chart representing size of response in KBs
- Response time :Line chart representing response time in ms
* To check this, You can go to API Manager > Analytics > Custom Dashboard > Edit Dashboard > Create Chart > Metric

Reference:
Additional Information:
The default dashboard contains a set of charts
- Requests by date: Line chart representing number of requests
- Requests by location: Map chart showing the number of requests for each country of origin
- Requests by application: Bar chart showing the number of requests from each of the top five registered applications
- Requests by platform: Ring chart showing the number of requests broken down by platform


NEW QUESTION # 94
According to MuleSoft, which system integration term describes the method, format, and protocol used for communication between two system?

Answer: A


NEW QUESTION # 95
Refer to the exhibit.
The HTTP Listener and the Logger are being handled from which thread pools respectively?

Answer: D

Explanation:
In Mule applications, different components are handled by specific thread pools to optimize performance and resource utilization.
* HTTP Listener: This component handles incoming HTTP requests and is managed by the Shared Selector Pool. The Shared Selector Pool is responsible for handling non-blocking IO operations efficiently.
* Logger: The Logger component is lightweight and does not perform CPU-intensive operations. It is managed by the CPU_LITE thread pool, which is designed for lightweight CPU operations.
This separation ensures that IO-bound operations do not block CPU-bound operations, maintaining optimal performance and responsiveness in the application.
MuleSoft Threading and Thread Pools
MuleSoft HTTP Listener Documentation


NEW QUESTION # 96
Refer to the exhibit.

The HTTP Listener and the Logger are being handled from which thread pools respectively?

Answer: D

Explanation:
In Mule applications, different components are handled by specific thread pools to optimize performance and resource utilization.
* HTTP Listener: This component handles incoming HTTP requests and is managed by the Shared Selector Pool. The Shared Selector Pool is responsible for handling non-blocking IO operations efficiently.
* Logger: The Logger component is lightweight and does not perform CPU-intensive operations. It is managed by the CPU_LITE thread pool, which is designed for lightweight CPU operations.
This separation ensures that IO-bound operations do not block CPU-bound operations, maintaining optimal performance and responsiveness in the application.
References:
* MuleSoft Threading and Thread Pools
* MuleSoft HTTP Listener Documentation


NEW QUESTION # 97
......

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