The Salesforce ADX-350 exam preparation guide is designed to provide candidates with necessary information about the Hyperautomation Specialist exam. It includes exam summary, sample questions, practice test, objectives and ways to interpret the exam objectives to enable candidates to assess the types of questions-answers that may be asked during the Salesforce Certified Hyperautomation Specialist exam.
It is recommended for all the candidates to refer the ADX-350 objectives and sample questions provided in this preparation guide. The Salesforce Hyperautomation Specialist certification is mainly targeted to the candidates who want to build their career in Salesforce Developer domain and demonstrate their expertise. We suggest you to use practice exam listed in this cert guide to get used to with exam environment and identify the knowledge areas where you need more work prior to taking the actual Salesforce Hyperautomation Specialist exam.
Salesforce ADX-350 Exam Summary:
|
Exam Name
|
Salesforce Hyperautomation Specialist |
| Exam Code | ADX-350 |
| Exam Price |
Registration fee: USD 200 Retake fee: USD 100 |
| Duration | 90 minutes |
| Number of Questions | 60 |
| Passing Score | 70% |
| Recommended Training / Books |
Prepare for Your Hyperautomation Specialist Credential Build Salesforce Hyperautomation Solutions with MuleSoft (ADX350) |
| Schedule Exam | Kryterion Webassessor |
| Sample Questions | Salesforce ADX-350 Sample Questions |
| Recommended Practice | Salesforce Certified Hyperautomation Specialist Practice Test |
Salesforce Hyperautomation Specialist Syllabus:
| Section | Objectives | Weight |
|---|---|---|
| Employ best practices when building hyperautomation solutions |
- Given a scenario, identify the correct tools to use for a hyperautomation solution. - Describe drawbacks of manual tasks (lag time, human errors, etc.) and identify tasks that can be automated. - Identify appropriate integration solutions using Composer. - Identify when to supersede MuleSoft Robotic Process Automation (RPA) processes by application programming interfaces (APIs) for speed, resiliency, and latency. - Model suitable tests and create data to test an end-to-end hyperautomation solution. - Implement key common design patterns for communicating between Salesforce, Anypoint, Composer, and RPA. - Employ typical fault handling approaches for each tool involved in the hyperautomation process. - Identify scenarios and techniques for reuse. - Identify velocity of development based on hyperautomation tools and use case complexity. |
20% |
| Use Composer to automate data integrations for hyperautomation |
- Given a scenario, connect systems using a Composer flow and connectors, and map and retrieve data in action steps. - Use the HTTP connector to expand connectivity beyond what is supported out-of-the-box. - Swap out sandbox connections for production connections. - Given a hyperautomation scenario, implement the appropriate flow controls including If/Else blocks and For Each loops. - Given a hyperautomation scenario, transform data using number, string, and date functions and formulas. - Test Composer flows to ensure they work as expected. |
12% |
| Design, build, and manage MuleSoft RPA processes used for hyperautomation |
- Evaluate an RPA process in MuleSoft RPA Manager. - Perform general RPA process development tasks including designing, building, and testing RPA processes. - Deploy RPA processes. - Trigger RPA bots from Composer and Anypoint Platform. - Monitor and troubleshoot RPA processes. |
17% |
| Use Salesforce Flow to build hyperautomation workflows |
- Given a hyperautomation scenario, build the appropriate flow using Salesforce Flow. - Work with Einstein Bots to automate customer service. - Create tests for record-triggered flows with Flow Testing. - Given a scenario, connect Salesforce flows with other APIs. - Identify the basics of Salesforce flows that are applicable to hyperautomation implementation. |
13% |
| Use Anypoint platform to deliver, and manage APIs in a hyperautomation project |
- Describe composable building blocks (that is, APIs/Specs) and how to consume them in a hyperautomation implementation. - Describe how composable building blocks work together in a strategy and what Salesforce is capable of. - Assign each API to one of the three tiers of API-led connectivity. - Translate functional design requirements into API resources and methods. - Define API resources, methods, parameters, and responses using RAML. - Summarize Anypoint Platform hyperautomation capabilities and high-level components. - Describe Mule application deployment options including CloudHub, Runtime Fabric, and customer-hosted Mule runtimes. |
15% |
| Use Anypoint Platform to monitor hyperautomation API endpoints |
- Using hyperautomation best practices to determine how to manage APIs using basic endpoint configurations, proxy endpoint configurations, and policies. - Describe Anypoint Monitoring for applications and APIs. |
7% |
| Use Anypoint Exchange to catalog (publish), share, discover, and reuse assets |
- Publish assets to private and public Anypoint Exchanges. - Test APIs using the Anypoint Exchange mocking service. - Given a hyperautomation scenario, employ Anypoint Exchange best practices. |
8% |
| Use Salesforce Flow Orchestrator to build parallel, multi-user, multi-step workstreams |
- Combine multiple automated workflows into a coordinated process. - Customize entry and exit conditions for evaluation flows. - Assign interactive steps to groups or queues. - Debug, deploy, and manage Flow Orchestration. |
8% |