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Salesforce Mule-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Managing APIs12%- API Security (Policies, SLAs)
- API Versioning
- API Lifecycle Management
Topic 2: Monitoring and Analyzing Application Networks8%- Alerting & Auditing
- Anypoint Monitoring Tools
- Analytics & Business Insights
Topic 3: Meeting API Quality Goals8%- Unit & Integration Testing
- API Performance Optimization
- Resilience & Reliability Patterns
Topic 4: Establishing Organizational and Platform Foundations17%- IT Delivery & C4E Operating Model
- Governance and Compliance Framework
- Platform Foundation Setup
Topic 5: Applying Integration Patterns11%- Event-Driven Architecture (EDA)
- Batch Processing
- Integration Scenarios & Patterns
Topic 6: Deploying API Implementations to CloudHub11%- CloudHub 2.0 & Runtime Fabric
- Deployment Strategies
- CloudHub Architecture
Topic 7: Understanding the MuleSoft Platform & Application Networks11%- Application Network Fundamentals
- MuleSoft Anypoint Platform Core Concepts
- C4E (Center for Enablement) Definition
Topic 8: Architecting and Deploying API Implementations11%- High Availability (HA) Design
- Mule Runtime Architecture
- Disaster Recovery (DR) Strategies
Topic 9: Designing and Sharing APIs11%- API Design Best Practices
- API-Led Connectivity Approach
- Anypoint Exchange for Sharing Assets

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Salesforce Certified MuleSoft Platform Architect Sample Questions (Q74-Q79):

NEW QUESTION # 74
What best explains the use of auto-discovery in API implementations?

Answer: D

Explanation:
Correct Answe r: It makes API Manager aware of API implementations and hence enables it to enforce policies.
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>> API Autodiscovery is a mechanism that manages an API from API Manager by pairing the deployed application to an API created on the platform.
>> API Management includes tracking, enforcing policies if you apply any, and reporting API analytics.
>> Critical to the Autodiscovery process is identifying the API by providing the API name and version.
Reference:
https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept
https://docs.mulesoft.com/api-manager/1.x/api-auto-discovery
https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept


NEW QUESTION # 75
What Mule application deployment scenario requires using Anypoint Platform Private Cloud Edition or Anypoint Platform for Pivotal Cloud Foundry?

Answer: D

Explanation:
Correct Answe r: When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data.
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We need NOT require to use Anypoint Platform PCE or PCF for the below. So these options are OUT.
>> We can make ALL applications highly available across multiple data centers using CloudHub too.
>> We can use Anypoint VPN and tunneling from CloudHub to connect to ALL backend systems in the application network that are deployed in the organization's intranet.
>> We can use Anypoint VPC and Firewall Rules to make ALL APIs private and NOT exposed to the public cloud.
Only valid reason in the given options that requires to use Anypoint Platform PCE/ PCF is - When regulatory requirements mandate on-premises processing of EVERY data item, including meta-data.


NEW QUESTION # 76
A client has several applications running on the Salesforce service cloud. The business requirement for integration is to get daily data changes from Account and Case Objects. Data needs to be moved to the client's private cloud AWS DynamoDB instance as a single JSON and the business foresees only wanting five attributes from the Account object, which has 219 attributes (some custom) and eight attributes from the Case Object.
What design should be used to support the API/ Application data model?

Answer: D

Explanation:
Understanding the Requirements:
The business needs to transfer daily data changes from the Salesforce Account and Case objects to AWS DynamoDB in a single JSON format.
Only a subset of attributes (5 from Account and 8 from Case) is required, so it is not necessary to include all 219 attributes of the Account object.
Design Approach:
A System API (SAPI) should be created for each Salesforce object (Account and Case), exposing only the required fields (5 attributes for Account and 8 for Case).
A Process API (PAPI) can be used to aggregate and transform the data from these SAPIs, combining the 13 selected attributes from Account and Case into a single JSON structure for DynamoDB.
Evaluating the Options:
Option A: Mimicking all attributes in the SAPI is inefficient and unnecessary, as only 13 attributes are required.
Option B: Replicating all attributes in DynamoDB is excessive and would result in higher storage and processing costs, which is unnecessary given the requirement for only a subset of attributes.
Option C: Implementing an Enterprise Data Model could be useful in broader data management but is not required here, as the focus is on a lightweight integration.
Option D (Correct Answer): Creating separate entities in SAPI for Account and Case with only the required attributes and using the PAPI to aggregate them into a single JSON is the most efficient and meets the requirements effectively.
Conclusion:
Option D is the best choice as it provides a lightweight, efficient design that meets the requirements by transferring only the necessary attributes and minimizing resource use.
Refer to MuleSoft's best practices for API-led connectivity and data modeling to structure SAPIs and PAPIs efficiently.


NEW QUESTION # 77
A company is building an application network using MuleSoft's recommendations for various API layers.
What is the main (default) role of a process API in an application network?

Answer: B

Explanation:
Role of Process API in API-led Connectivity:
In MuleSoft's API-led connectivity approach, a Process API is used to coordinate, aggregate, and orchestrate data from various System APIs. It is primarily responsible for implementing business logic that spans multiple backend systems or entities, transforming and combining data as needed to support business processes.
Process APIs are not directly exposed to end-user clients; rather, they work between System APIs and Experience APIs, providing business logic and orchestration capabilities.
Evaluating the Options:
Option A: Process APIs are not typically responsible for large data dumps or data synchronization. That function would be handled by a System API or a specialized batch process.
Option B: Managing direct, secure communication between back-end systems and end-user clients is typically the role of Experience APIs rather than Process APIs.
Option C (Correct Answer): Process APIs are designed to coordinate and orchestrate calls to multiple other APIs in the network, which supports the automation of business processes.
Option D: Securing and managing communication with end-user clients is typically the role of Experience APIs, not Process APIs.
Conclusion:
Option C is the correct answer, as the main role of a Process API is to coordinate and orchestrate interactions between other APIs, enabling business processes to function seamlessly across multiple systems.
Refer to MuleSoft's API-led connectivity documentation for further explanation of the roles and responsibilities of Process APIs in an application network.


NEW QUESTION # 78
An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).
What best describes each modern API in relation to this new IT operating model?

Answer: D

Explanation:
Correct Answers:
1. Each modern API must be treated like a product and designed for a particular target audience (for instance mobile app developers)
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NEW QUESTION # 79
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