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

Topic
Details

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 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 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 Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.

Topic 5

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 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 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 8

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.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q18-Q23):

NEW QUESTION # 18
A platform architect includes both an API gateway and a service mesh in the architect of a distributed application for communication management.
Which type of communication management does a service mesh typically perform in this architecture?

A. Between application services and the firewall
B. Between services within the application
C. Between the application and external API implementations.
D. Between the application and external API clients

Answer: B

NEW QUESTION # 19
An API implementation is being developed to expose data from a production database via HTTP requests.
The API implementation executes a database SELECT statement that is dynamically created based upon data received from each incoming HTTP request. The developers are planning to use various types of testing to make sure the Mule application works as expected, can handle specific workloads, and behaves correctly from an API consumer perspective. What type of testing would typically mock the results from each SELECT statement rather than actually execute it in the production database?

A. Unit testing (white box)
B. Functional testing (black box)
C. Performance testing
D. Integration testing

Answer: A

Explanation:
In Unit testing instead of using actual backends, stubs are used for the backend services. This ensures that developers are not blocked and have no dependency on other systems.
In Unit testing instead of using actual backends, stubs are used for the backend services. This ensures that developers are not blocked and have no dependency on other systems.
Below are the typical characteristics of unit testing.
-- Unit tests do not require deployment into any special environment, such as a staging environment
-- Unit tests san be run from within an embedded Mule runtime
-- Unit tests can/should be implemented using MUnit
-- For read-only interactions to any dependencies (such as other APIs): allowed to invoke production endpoints
-- For write interactions: developers must implement mocks using MUnit
-- Require knowledge of the implementation details of the API implementation under test

NEW QUESTION # 20
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?

A. Request size, number of requests, response size, response time
B. Request size, number of requests, JDBC Select operation result set size
C. Request size, request HTTP verbs, response time
D. Request size, number of requests, JDBC Select operation response time

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 # 21
According to MuleSoft's API development best practices, which type of API development approach starts with writing and approving an API contract?

A. Implement-first
B. Agile
C. Design-first
D. Catalyst

Answer: C

NEW QUESTION # 22
A global, high-volume shopping Mule application is being built and will be deployed to CloudHub. To improve performance, the Mule application uses a Cache scope that maintains cache state in a CloudHub object store. Web clients will access the Mule application over HTTP from all around the world, with peak volume coinciding with business hours in the web client's geographic location. To achieve optimal performance, what Anypoint Platform region should be chosen for the CloudHub object store?

A. Choose the US-West region, the only supported region for CloudHub object stores
B. Choose the same region as to where the Mule application is deployed
C. Choose a region that is the traffic-weighted geographic center of all web clients
D. Choose the geographically closest available region for each web client

Answer: B

Explanation:
CloudHub object store should be in same region where the Mule application is deployed. This will give optimal performance.
Before learning about Cache scope and object store in Mule 4 we understand what is in general Caching is and other related things.
WHAT DOES "CACHING" MEAN?
Caching is the process of storing frequently used data in memory, file system or database which saves processing time and load if it would have to be accessed from original source location every time.
In computing, a cache is a high-speed data storage layer which stores a subset of data, so that future requests for that data are served up faster than is possible by accessing the data's primary storage location. Caching allows you to efficiently reuse previously retrieved or computed data.
How does Caching work?
The data in a cache is generally stored in fast access hardware such as RAM (Random-access memory) and may also be used in correlation with a software component. A cache's primary purpose is to increase data retrieval performance by reducing the need to access the underlying slower storage layer.
Caching in MULE 4
In Mule 4 caching can be achieved in mule using cache scope and/or object-store. Cache scope internally uses Object Store to store the data.
What is Object Store
Object Store lets applications store data and states across batch processes, Mule components, and applications, from within an application. If used on cloud hub, the object store is shared between applications deployed on Cluster.
Cache Scope is used in below-mentioned cases:
* Need to store the whole response from the outbound processor
* Data returned from the outbound processor does not change very frequently
* As Cache scope internally handle the cache hit and cache miss scenarios it is more readable Object Store is used in below-mentioned cases:
* Need to store custom/intermediary data
* To store watermarks
* Sharing the data/stage across applications, schedulers, batch.
If CloudHub object store is in same region where the Mule application is deployed it will aid in fast access of data and give optimal performance.

NEW QUESTION # 23
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