VALID SALESFORCE-HYPERAUTOMATION-SPECIALIST EXAM DUMPS & SALESFORCE-HYPERAUTOMATION-SPECIALIST VALID EXAM REVIEW

Valid Salesforce-Hyperautomation-Specialist Exam Dumps & Salesforce-Hyperautomation-Specialist Valid Exam Review

Valid Salesforce-Hyperautomation-Specialist Exam Dumps & Salesforce-Hyperautomation-Specialist Valid Exam Review

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Salesforce Salesforce-Hyperautomation-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • Use Anypoint Platform to monitor hyperautomation API endpoints: This part covers managing APIs using endpoint configurations and policies and describes Anypoint Monitoring for applications and APIs.
Topic 2
  • Use Anypoint platform to deliver, and manage APIs in a hyperautomation project: This section focuses on composable building blocks, API-led connectivity, functional design requirements, RAML, Anypoint Platform capabilities, and Mule application deployment options.
Topic 3
  • Use Composer to automate data integrations for hyperautomation: This part focuses on using Composer flows and connectors, HTTP connectors, sandbox to production transitions, flow controls, data transformation, and testing Composer flows.
Topic 4
  • Use Salesforce Flow to build hyperautomation workflows: This part covers building appropriate flows, working with Einstein Bots, flow testing, connecting flows with APIs, and understanding the basics of Salesforce flows in hyperautomation.

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Salesforce Certified Hyperautomation Specialist Sample Questions (Q18-Q23):

NEW QUESTION # 18
AnyAirlines needs to automatically sync Salesforce accounts with NetSuite customers using a MuleSoft Composer flow. The Address field in the Salesforce Account object is a compound field consisting of the simple fields: Street, City, State, Zip, and Country.
However, the Address field in the NetSuite Customer entity is a list consisting of the simple fields: Street, City, State, Zip, and Country.
Which task must be performed to map fields of the Salesforce Address compound field to the corresponding fields of the NetSuite Address list in the flow?

  • A. Combine the Salesforce address-related fields into a list using the Get records action in Composer.
  • B. Combine the Salesforce address-related fields into a list using a custom formula field in Salesforce.
  • C. Break up the NetSuite Address list into fields that match Salesforce address-related fields using a custom formula field in NetSuite.
  • D. Combine the Salesforce address-related fields into a list using a custom expression in Composer.

Answer: D

Explanation:
To map fields of the Salesforce Address compound field to the corresponding fields of the NetSuite Address list in MuleSoft Composer, you need to perform the following task:
Custom Expression in Composer:
Use a custom expression in MuleSoft Composer to combine the individual address-related fields from Salesforce (Street, City, State, Zip, Country) into a format that matches the NetSuite Address list.
This custom expression will concatenate the individual simple fields from Salesforce into a structured format that can be mapped directly to the NetSuite Address list.
Mapping the Fields:
Once the custom expression is created, map the resulting list to the corresponding fields in the NetSuite Customer entity within the Composer flow.
This ensures that each simple field in the Salesforce compound Address field is correctly mapped to the respective field in the NetSuite Address list.
Reference:
MuleSoft Composer Documentation


NEW QUESTION # 19
Northern Trail Outfitters wants to run a bidirectional sync of data between two Salesforce orgs. They want to perform real-time updates between both systems so that if either system is updated, the other one is automatically updated with the new data.
What is the minimum number of Mute-Soft Composer flows needed to meet this requirement?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D

Explanation:
To achieve a bidirectional sync between two Salesforce orgs using MuleSoft Composer, you would need a minimum of two flows.
Flow 1: Sync from Org A to Org B: This flow monitors changes in Org A and updates Org B with the new data whenever a change occurs.
Flow 2: Sync from Org B to Org A: Similarly, this flow monitors changes in Org B and updates Org A with the new data whenever a change occurs.
This setup ensures that any change in either Salesforce org is reflected in the other, maintaining real-time synchronization between the two systems.


NEW QUESTION # 20
Northern Trail Outfitters must create a near real-time inventory API that can be used within its retail POS systems, across its mobile and online stores, and by its strategic B2B e-commerce partners. The API must provide accurate and up-to-date product inventory levels. The data currently resides in both SAP and NetSuite.
According to best practices, which hyperautomation tool should be used to build this solution?

  • A. MuleSoft RPA
  • B. Salesforce Flow
  • C. Anypoint Platform
  • D. MuleSoft Composer

Answer: C

Explanation:
To create a near real-time inventory API that integrates data from SAP and NetSuite and can be used across various platforms and partners, the Anypoint Platform is the most suitable tool:
Anypoint Platform:
Anypoint Platform provides comprehensive integration capabilities, including real-time data processing, API management, and connectivity to various systems like SAP and NetSuite.
It supports building robust, scalable APIs that can handle near real-time data synchronization, ensuring accurate and up-to-date inventory levels across multiple channels.
Best Practices:
Using Anypoint Platform, you can design and manage APIs with fine-grained control over security, performance, and monitoring, adhering to best practices for enterprise integration.
Reference:
Anypoint Platform Documentation


NEW QUESTION # 21
Northern Trail Outfitters is developing an API that connects to a vendor's database.
Which two strategies should their Ops team use to monitor the overall health of the API and database using API Functional Monitoring? (Choose two.)

  • A. Monitor the CloudHub worker logs for JDBC database connection exceptions.
  • B. Monitor the Mule worker logs for "ERROR" statements and verity that the results match expected errors.
  • C. Make a call to a health-heck endpoint, and then verity that the endpoint is still running.
  • D. Make a GET call to an existing API endpoint, and then verify that the results match expected data.

Answer: C,D

Explanation:
* Health-Check Endpoint: Creating and regularly calling a health-check endpoint is a common strategy to ensure that the API and its underlying systems are operational. This endpoint typically performs basic checks such as database connectivity and service availability.
Reference:
* GET Call to Existing Endpoint: Making a GET call to an existing API endpoint and verifying that the results match expected data helps ensure that the API is not only running but also functioning correctly. This approach validates that the API can retrieve data from the database as intended.
* Monitoring CloudHub Worker Logs: While monitoring logs can be useful, it is more of a reactive approach. Proactive strategies like health-check endpoints and GET calls provide immediate validation of the API's operational status.
* Verifying Mule Worker Logs for Errors: This approach can complement health-check endpoints and GET calls but should not be the primary strategy. Logs are helpful for diagnosing issues after they occur rather than ensuring ongoing health.


NEW QUESTION # 22
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?

  • A. Experience
  • B. System
  • C. Business
  • D. Process

Answer: D

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.
Reference:
* 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 # 23
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