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Salesforce Mule-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Understanding the MuleSoft Platform & Application Networks	11%	- C4E (Center for Enablement) Definition - MuleSoft Anypoint Platform Core Concepts - Application Network Fundamentals
Topic 2: Managing APIs	12%	- API Lifecycle Management - API Versioning - API Security (Policies, SLAs)
Topic 3: Deploying API Implementations to CloudHub	11%	- CloudHub 2.0 & Runtime Fabric - Deployment Strategies - CloudHub Architecture
Topic 4: Establishing Organizational and Platform Foundations	17%	- IT Delivery & C4E Operating Model - Platform Foundation Setup - Governance and Compliance Framework
Topic 5: Meeting API Quality Goals	8%	- Unit & Integration Testing - API Performance Optimization - Resilience & Reliability Patterns
Topic 6: Applying Integration Patterns	11%	- Event-Driven Architecture (EDA) - Integration Scenarios & Patterns - Batch Processing
Topic 7: Designing and Sharing APIs	11%	- API-Led Connectivity Approach - Anypoint Exchange for Sharing Assets - API Design Best Practices
Topic 8: Monitoring and Analyzing Application Networks	8%	- Alerting & Auditing - Anypoint Monitoring Tools - Analytics & Business Insights
Topic 9: Architecting and Deploying API Implementations	11%	- Disaster Recovery (DR) Strategies - Mule Runtime Architecture - High Availability (HA) Design

>> Salesforce Mule-Arch-201 Valid Exam Topics <<

Salesforce Mule-Arch-201 Valid Exam Topics: Salesforce Certified MuleSoft Platform Architect - ActualTestsQuiz Authoritative Provider

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Salesforce Certified MuleSoft Platform Architect Sample Questions (Q135-Q140):

NEW QUESTION # 135
An Order API must be designed that contains significant amounts of integration logic and involves the invocation of the Product API.
The power relationship between Order API and Product API is one of "Customer/Supplier", because the Product API is used heavily throughout the organization and is developed by a dedicated development team located in the office of the CTO.
What strategy should be used to deal with the API data model of the Product API within the Order API?

A. Start an organization-wide data modeling initiative that will result in an Enterprise Data Model that will then be used in both the Product API and the Order API
B. Convince the development team of the Product API to adopt the API data model of the Order API such that the integration logic of the Order API can work with one consistent internal data model
C. Work with the API data types of the Product API directly when implementing the integration logic of the Order API such that the Order API uses the same (unchanged) data types as the Product API
D. Implement an anti-corruption layer in the Order API that transforms the Product API data model into internal data types of the Order API

Answer: D

Explanation:
Correct Answe r: Convince the development team of the product API to adopt the API data model of the Order API such that integration logic of the Order API can work with one consistent internal data model
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Key details to note from the given scenario:
>> Power relationship between Order API and Product API is customer/supplier So, as per below rules of "Power Relationships", the caller (in this case Order API) would request for features to the called (Product API team) and the Product API team would need to accomodate those requests.

NEW QUESTION # 136
Question 10: Skipped
An API implementation returns three X-RateLimit-* HTTP response headers to a requesting API client. What type of information do these response headers indicate to the API client?

A. A correlation ID that should be sent in the next request
B. The HTTP response size
C. The error codes that result from throttling
D. The remaining capacity allowed by the API implementation

Answer: D

Explanation:
Correct Answe r: The remaining capacity allowed by the API implementation.
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>> Reference: https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-headers

NEW QUESTION # 137
An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number of specialized components and can be accessed via a REST API. The process and experience APIs share the same bounded-context model that is different from the backend data model. What additional canonical models, bounded-context models, or anti-corruption layers are best added to this architecture to help process data consumed from the backend system?

A. Create a bounded-context model for every layer and overlap them when the boundary contexts overlap, letting API developers know about the differences between upstream and downstream data models
B. Create an anti-corruption layer for every API to perform transformation for every data model to match each other, and let data simply travel between APIs to avoid the complexity and overhead of building canonical models
C. Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers
D. Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.

Answer: C

Explanation:
Correct Answe r: Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers
*****************************************
>> Canonical models are not an option here as the organization has already put in efforts and created bounded-context models for Experience and Process APIs.
>> Anti-corruption layers for ALL APIs is unnecessary and invalid because it is mentioned that experience and process APIs share same bounded-context model. It is just the System layer APIs that need to choose their approach now.
>> So, having an anti-corruption layer just between the process and system layers will work well. Also to speed up the approach, system APIs can mimic the backend system data model.

NEW QUESTION # 138
An API implementation is updated. When must the RAML definition of the API also be updated?

A. When the API implementation changes the structure of the request or response messages
B. When the API implementation is optimized to improve its average response time
C. When the API implementation changes from interacting with a legacy backend system deployed on-premises to a modern, cloud-based (SaaS) system
D. When the API implementation is migrated from an older to a newer version of the Mule runtime

Answer: A

Explanation:
Correct Answe r: When the API implementation changes the structure of the request or response messages
*****************************************
>> RAML definition usually needs to be touched only when there are changes in the request/response schemas or in any traits on API.
>> It need not be modified for any internal changes in API implementation like performance tuning, backend system migrations etc..

NEW QUESTION # 139
A circuit breaker strategy is planned in order to meet the goal of improved response time and demand on a downstream API.
* Circuit Open: More than 10 errors per minute for three minutes
* Circuit Half-Open: One error per minute
* Circuit Closed: Less than one error per minute for five minutes
Out of several proposals from the engineering team, which option will meet this goal?

A. Create Anypoint Monitoring alerts for Circuit Open/Closed configurations, and then implement a retry strategy for Circuit Half-Open configuration
B. Implement the strategy in a Mule application, and provide the settings in the YAML configuration
C. Create a custom policy that implements the circuit breaker and includes policy template expressions for the required settings
D. Add the Circuit Breaker policy to the API instance, and configure the required settings

Answer: D

Explanation:
Understanding Circuit Breaker Policy:
A circuit breaker is a design pattern used to detect failures and prevent an application from continually trying to execute a failing operation. In this case, it will help improve response time and reduce demand on the downstream API.
The specified configuration includes conditions for opening, half-opening, and closing the circuit based on error rates over time:
Circuit Open: Triggered if there are more than 10 errors per minute for three consecutive minutes.
Circuit Half-Open: The circuit transitions to half-open if there is one error per minute.
Circuit Closed: The circuit closes if the error rate is less than one error per minute for five minutes.
Evaluating the Options:
Option A: Creating a custom policy with template expressions could work, but it would require custom development. Since the Anypoint Platform already has a Circuit Breaker policy available, this would be a less efficient and more complex solution.
Option B: Anypoint Monitoring alerts can be used for monitoring the API, but they do not provide circuit-breaking functionality. Additionally, implementing a retry strategy for the half-open state is not sufficient to achieve the required circuit breaker behavior.
Option C (Correct Answer): Adding the Circuit Breaker policy to the API instance on Anypoint Platform allows you to set up circuit-breaking conditions directly. This approach uses the built-in Circuit Breaker policy, where you can configure parameters such as error thresholds and time intervals to match the requirements. This solution is efficient, reliable, and leverages Anypoint's out-of-the-box capabilities.
Option D: Implementing the strategy within a Mule application with a YAML configuration could be complex and less manageable. Additionally, it does not leverage Anypoint Platform's built-in Circuit Breaker policy, which is more suited to this scenario.
Conclusion:
Option C is the correct choice, as it leverages Anypoint Platform's Circuit Breaker policy. This solution allows for configuring thresholds and time intervals as specified, improving response time and reducing demand on the downstream API while utilizing Anypoint's managed policy feature.
Refer to MuleSoft's documentation on implementing the Circuit Breaker policy in API Manager for detailed configuration guidance.

NEW QUESTION # 140
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