Salesforce Hyperautomation Specialist Salesforce Certified Hyperautomation Specialist Exam Practice Test

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Total 60 questions
Question 1

The MuleSoft development team at Northern Trail Outfitters creates a Mule application that interacts with several APIs and RPA processes. The team needs to share this application with other teams to help them create similar applications.

How should the Mule application be published in Anypoint Exchange to meet this requirement?



Answer : A

To share a Mule application that interacts with several APIs and RPA processes with other teams for creating similar applications, publishing it as a Template asset is the best approach:

Template Asset:

A Template in Anypoint Exchange is designed to provide a reusable solution that can be easily adapted for different use cases. It includes predefined integration logic and configurations that can be used as a starting point for new projects.

By publishing the Mule application as a Template, other teams can leverage this pre-built solution, customize it to their specific needs, and ensure consistency in integration practices across the organization.


Anypoint Exchange Templates Documentation

Question 2

AnyAirlines implements a credit card program that requires customer applications to go through a review process before approval. They want to develop a series of hyperautomation solutions that will integrate to process the applications and enter the customer's information into a legacy system once approved.

They want to complete the following components:

An Einstein bot that will initiate the credit card application and create a record of an existing Salesforce Custom Object

A Salesforce flow that marks the credit card application as approved in Salesforce

An RPA process that interacts with multiple applications and websites

A simple MuleSoft Composer flow that triggers if a credit card application is approved and then invokes an RPA process

Which component will likely require the most effort to complete?



Answer : C

Developing an RPA process that interacts with multiple applications and websites typically requires the most effort due to several factors:

Complexity of Interaction:

RPA processes involve simulating human actions to interact with different user interfaces. This includes navigating web pages, filling out forms, and clicking buttons, which can be complex and time-consuming to script and test.

Integration Challenges:

The RPA process must handle different applications and websites, each with unique behaviors and potential for errors. Ensuring reliable and consistent interaction across these systems requires thorough testing and potentially custom handling for each system.

Maintenance and Updates:

RPA processes need to be maintained and updated as the applications or websites they interact with change. This ongoing effort can be significant compared to other components.


MuleSoft RPA Documentation

Question 3

AnyAirlines is creating a hyperautomation solution that will run any time a record is created in NetSuite and will update a record in Salesforce. Many records present in Salesforce need to be related to the updated record. AnyAirlines wants to automatically update each of these dependent records.

When combined, which two hyperautomation solutions should be used to automate this process without involving IT? (Choose two.)



Answer : B, D

To automate the process of updating related records in Salesforce when a record is created in NetSuite, combining Salesforce Flow and MuleSoft Composer is ideal:

MuleSoft Composer:

Use MuleSoft Composer to create a flow that triggers when a new record is created in NetSuite.

Configure the flow to update the corresponding record in Salesforce. This ensures that changes in NetSuite are automatically reflected in Salesforce.

Salesforce Flow:

Use Salesforce Flow to create a record-triggered flow that updates all dependent records whenever the primary Salesforce record is updated.

This flow can be set to trigger on updates to the primary record and include logic to identify and update all related records.

Combining MuleSoft Composer for integration and Salesforce Flow for in-Salesforce automation ensures that the entire process is streamlined and automated without requiring IT involvement.


MuleSoft Composer Documentation

Salesforce Flow Documentation

Question 4

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?



Answer : C

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.


MuleSoft Composer Documentation

Question 5

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 : C

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

Question 6

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.)



Answer : A, C

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.


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.

Question 7

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.)



Answer : B, D

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.


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.

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Total 60 questions