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Salesforce ADX-350 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Discover and Analyze Business Processes17%- Process Discovery
  • 1. Analyze business processes
  • 2. Evaluate process bottlenecks
  • 3. Identify automation opportunities
Topic 2: Build Salesforce Automation Solutions20%- Salesforce Automation
  • 1. Integrate Salesforce with external systems
  • 2. Build flows with Flow Builder
  • 3. Automate approvals and notifications
Topic 3: Design Hyperautomation Solutions25%- Solution Design
  • 1. Apply integration patterns
  • 2. Design end-to-end automation solutions
  • 3. Select appropriate MuleSoft and Salesforce tools
Topic 4: Implement MuleSoft RPA Solutions18%- RPA Development
  • 1. Configure bots and workflows
  • 2. Debug and monitor automations
  • 3. Design RPA processes
Topic 5: Implement MuleSoft Composer Solutions20%- Composer Configuration
  • 1. Configure connectors
  • 2. Build Composer flows
  • 3. Transform and map data

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Salesforce Certified Hyperautomation Specialist Exam Sample Questions (Q19-Q24):

NEW QUESTION # 19
A MuleSoft developer at AnyAirlines is tasked with creating a new API for an integration.
According to best practices, what is the first step they need to perform?

Answer: C

Explanation:
* RAML Definition Creation: The first step in creating a new API as per MuleSoft best practices is to create a RAML (RESTful API Modeling Language) definition in the Design Center. This step is critical as it outlines the API's structure, endpoints, methods, and data types, providing a clear blueprint for subsequent development.
* Project Creation in Anypoint Studio: Once the RAML definition is created, the next step would be to generate the API project in Anypoint Studio. This IDE allows developers to implement the API logic as defined in the RAML.
* Mule Runtime Installation: Installing Mule runtime is necessary for running and testing Mule applications locally. However, this step is secondary to defining the API's structure.
* Case Creation in Salesforce: Creating a case in Salesforce is not relevant to the API development process but may be necessary for support or project management purposes.


NEW QUESTION # 20
AnyAirlines selected AWS Cloud services as their infrastructure platform. They need to implement Anypoint Platform as the integration solution along with existing cloud capabilities like vertical/horizontal scalability and zero downtime redeployments.
Which type of deployment strategy is needed?

Answer: D

Explanation:
* Anypoint Runtime Fabric: Anypoint Runtime Fabric (RTF) is designed for deploying Mule applications on any cloud infrastructure, including AWS. It supports vertical and horizontal scalability and enables zero-downtime deployments, which aligns with AnyAirlines' requirements.
* Vertical/Horizontal Scalability: RTF allows scaling applications both vertically (adding more resources to existing nodes) and horizontally (adding more nodes to the cluster). This ensures high availability and performance.
* Zero Downtime Deployments: RTF supports zero-downtime deployments by utilizing rolling updates and canary deployments, ensuring that updates do not disrupt ongoing operations.
* AWS Integration: RTF can be deployed on AWS, leveraging existing cloud infrastructure capabilities and providing a seamless integration experience.


NEW QUESTION # 21
Northern Trail Outfitters needs to develop an application network that follows a MuleSoft-recommended, API-led connectivity approach and meets the following requirements:
provides data to mobile and web interfaces
aggregates and transforms data
retrieves data from databases
In which API tier should the data aggregation and transformation take place?

Answer: C

Explanation:
* API-led Connectivity: MuleSoft's API-led connectivity approach divides APIs into three tiers: System, Process, and Experience. Each tier has a specific role in managing data and operations.
* Experience APIs: These APIs are designed to provide data to end-user interfaces, such as mobile and web applications. They typically format the data in a way that is easy for the user interface to consume.
* Process APIs: Process APIs are responsible for orchestrating and executing business logic. They aggregate, transform, and process data from multiple sources before passing it to Experience APIs or other downstream systems.
* System APIs: These APIs provide direct access to core systems and data sources. They handle CRUD (Create, Read, Update, Delete) operations and expose data from underlying systems.
* Data Aggregation and Transformation: Given the requirements to aggregate and transform data, the Process tier is the appropriate place. Process APIs handle complex business logic and data transformation, making them ideal for aggregating data from multiple sources and transforming it as needed.


NEW QUESTION # 22
AnyAirlines releases a new REST API that exposes access to an RPA process. The RPA process can only handle a limited number of interactions per second before the API begins returning errors.
Which policy should AnyAirlines apply to prevent the API from being overloaded?

Answer: D

Explanation:
To prevent an API from being overloaded, the Spike Control policy is suitable. It helps manage sudden bursts of traffic by limiting the rate at which requests are processed. Here's how it works:
Preventing Overloads:
Spike Control smooths out bursts of incoming requests by enforcing a rate limit over a short period, protecting the backend systems from being overwhelmed by excessive traffic.
Configuration:
Apply the Spike Control policy to the API to define the maximum number of requests allowed within a specific timeframe.
This ensures that the API can handle a limited number of interactions per second, preventing errors due to overload.
Implementation:
In Anypoint Platform, configure the Spike Control policy to the desired thresholds, ensuring the RPA process can handle the load effectively without errors.
Anypoint Platform Spike Control Documentation


NEW QUESTION # 23
Which API policy can be applied to limit the number of requests an individual client can make to an API?

Answer: A

Explanation:
The Rate Limiting - SLA-Based policy in Anypoint Platform is designed to control the number of requests an individual client can make to an API. This policy is highly configurable and allows you to set specific limits based on service level agreements (SLAs).
Rate Limiting - SLA-Based:
This policy helps protect APIs from being overwhelmed by too many requests by enforcing a limit on the number of requests a client can make within a specified time frame.
You can define different rate limits for different tiers of clients, ensuring fair usage and protecting backend services.
Anypoint Platform Rate Limiting Documentation


NEW QUESTION # 24
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