SALESFORCE-HYPERAUTOMATION-SPECIALIST PASS RATE - SALESFORCE-HYPERAUTOMATION-SPECIALIST TEST ONLINE MATERIALS - LEAD2PASS PASS TEST

Salesforce-Hyperautomation-Specialist pass rate - Salesforce-Hyperautomation-Specialist test online materials - Lead2pass pass test

Salesforce-Hyperautomation-Specialist pass rate - Salesforce-Hyperautomation-Specialist test online materials - Lead2pass pass test

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Salesforce Salesforce-Hyperautomation-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • Salesforce-Hyperautomation-Specialist: This section covers identifying appropriate tools, understanding drawbacks of manual tasks, integration solutions, MuleSoft RPA processes, testing, design patterns, fault handling, reuse scenarios, and development velocity in hyperautomation.
Topic 2
  • Use Anypoint Exchange to catalog (publish), share, discover, and reuse assets: This section deals with publishing assets, testing APIs using mocking service, and employing Anypoint Exchange best practices.
Topic 3
  • Use Salesforce Flow Orchestrator to build parallel, multi-user, multi-step workstreams: This part focuses on combining automated workflows, customizing entry and exit conditions, assigning interactive steps, and managing Flow Orchestration.
Topic 4
  • 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 5
  • 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.

Salesforce Certified Hyperautomation Specialist Sample Questions (Q17-Q22):

NEW QUESTION # 17
AnyAirlines has an RPA process that is failing in Production.
According to best practices, how should they debug the failure?

  • A. Deactivate the RPA process, enter the inputs manually, the monitor the execution to determine the root cause.
  • B. Download the analysis package from RPA Manager. revert the RPA process to the Build phase, then import the analysis package to RPA Builder and debug.
  • C. Download the analysis package from RPA Manager, open it in a text editor, then determine the root cause.
  • D. Download the analysis package from RPA Manager. revert the RPA process to the Test phase, then import the analysis package to RPA Builder and debug.

Answer: B

Explanation:
* Download the Analysis Package: The first step is to download the analysis package from the RPA Manager. This package contains logs and detailed execution data that are crucial for debugging.
Reference:
* Revert to Build Phase: Reverting the RPA process to the Build phase allows developers to make changes and debug the process. The Build phase is where the RPA process is designed and configured.
* Import to RPA Builder: Import the analysis package into RPA Builder, which is the tool used to develop and debug RPA processes. This allows for a detailed investigation and identification of the root cause of the failure.
* Debugging: Use the detailed logs and execution data within RPA Builder to step through the process, identify issues, and implement fixes. This is the most effective method for diagnosing and resolving issues in RPA processes.


NEW QUESTION # 18
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?

  • A. Runtime Fabric
  • B. Private Cloud Edition
  • C. Cloudhub
  • D. Hybrid

Answer: A

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.
Reference:
* 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 # 19
Northern Trail Outfitters (NTO) has outgrown its custom Extract-Transform-Load (ETL) solution and needs to migrate its ETL jobs to a new tool. One of the requirements is a single interface to view and manage the ETL jobs. Some of these ETL jobs interact with systems that are hosted on-premises.
According to Salesforce's hyperautomation best practices, how should Salesforce's various hyperautomation solutions be combined to meet NTO's requirements?

  • A. Implement a three-tier API-led strategy to migrate its ETL jobs to a new tool.
    Use Anypoint API Manager to view and manage all API integrations.
  • B. Migrate integrations with simple transformations to MuleSoft Composer and complex integrations to Anypoint Platform.
    Use Anypoint Exchange to view and manage all API integrations.
  • C. Migrate all integrations to MuleSoft Compose.
    Use the Salesforce UI to view all MuleSoft Composer integrations.
    Leverage MuleSoft RPA for on-premises systems.
  • D. Use External Services in Salesforce to connect with Anypoint Platform.
    Use Orchestrator to coordinate the different ETL jobs in a single UI.
    Leverage MuleSoft RPA for on-premises systems.

Answer: B

Explanation:
To meet NTO's requirements of migrating ETL jobs and managing them efficiently, the following approach is recommended:
Migrate Simple Integrations to MuleSoft Composer:
MuleSoft Composer is suitable for simple transformations and straightforward data integrations that do not require complex logic or custom coding. This allows non-technical users to manage and automate these processes easily.
Migrate Complex Integrations to Anypoint Platform:
For more complex integrations that involve intricate business logic, large data volumes, or require advanced features like error handling, use Anypoint Platform. Anypoint Platform provides robust capabilities for building, deploying, and managing APIs and integrations.
Use Anypoint Exchange:
Anypoint Exchange serves as a centralized repository for all API assets, including those created using Composer and Anypoint Platform. It provides a single interface to view, manage, and share API integrations.
This approach leverages the strengths of both tools and ensures that all API integrations are efficiently managed and monitored.
Reference:
Anypoint Platform Documentation
Anypoint Exchange Documentation


NEW QUESTION # 20
A Salesforce administrator asks for advice on how to build their Salesforce flow. They need to complete several DML actions as part of their Salesforce flow and are running into DML governor limits during testing.
Which two pieces of advice should be given to the Salesforce administrator to improve their flow? (Choose two.)

  • A. Avoid putting DML statements inside of For Loop occurrences.
  • B. Use DML statements at the end of the flow wherever possible.
  • C. Use the upsert action to reduce the amount of DML statements required during the flow runtime.
  • D. Loopthrough a collection variable to save more records with a single DML statement.

Answer: A,D

Explanation:
* Avoid DML in For Loops: Placing DML (Data Manipulation Language) operations inside a loop can quickly exceed Salesforce governor limits, as each iteration performs a separate DML operation. It's best to collect records in a list and perform DML operations outside the loop.
Reference:
* Use Collection Variables: By looping through a collection variable and adding records to it, you can perform bulk DML operations, which are more efficient and less likely to hit governor limits.
* Use Upsert Action: Using the upsert action can reduce the number of DML statements by combining insert and update operations. However, this strategy depends on the specific flow requirements and data structure.
* DML Statements at the End: Consolidating DML operations to the end of the flow is advisable, but care should be taken to handle errors and exceptions appropriately.


NEW QUESTION # 21
The customer support team at Northern Trail Outfitters manages and maintains customer service cases using Service Cloud. The team collaborates with other stakeholders such as the sales, product, and technical support teams to resolve cases using Slack.
The team needs to use a MuleSoft Composer flow to automatically trigger when a case is created or modified in Service Cloud with notifications in Slack. Based on these specific case requirements, the team routes the cases to the sales, product, or the technical support team.
What flow component must the customer support team use to route the cases?

  • A. Switch/Case
  • B. For Each
  • C. If/Else
  • D. Swimlane

Answer: A

Explanation:
To route cases based on specific criteria to different teams (sales, product, or technical support) using MuleSoft Composer, the Switch/Case component is the most appropriate choice:
Create a MuleSoft Composer Flow:
Start by creating a flow in MuleSoft Composer that triggers when a case is created or modified in Service Cloud.
Use the Switch/Case Component:
Add a Switch/Case component to the flow. This component allows you to define multiple conditions and route the flow based on these conditions.
Define the different case routing criteria (e.g., case type, priority) within the Switch/Case component. For each case, specify the condition that determines which team the case should be routed to.
Configure Notifications in Slack:
For each case defined in the Switch/Case component, configure the corresponding actions to send notifications to the appropriate Slack channels.
The Switch/Case component enables complex conditional logic, making it ideal for routing cases to different teams based on predefined criteria.
Reference:
MuleSoft Composer Documentation


NEW QUESTION # 22
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