Memorizing these Salesforce-OmniStudio-Developer Study Guide is sufficient to pass the exam.

Salesforce Certified OmniStudio Developer Exam Dumps

Salesforce-OmniStudio-Developer Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

Exam Specification: Salesforce Certified OmniStudio Developer

Exam Name: Salesforce Certified OmniStudio Developer
Exam Code: Salesforce-Certified-OmniStudio-Developer
Exam Duration: 90 minutes
Passing Score: 65%
Exam Format: Multiple-choice, multiple-select

Course Outline:

1. Introduction to OmniStudio
- Understanding the key concepts and features of OmniStudio
- Exploring the components and capabilities of OmniStudio
- Overview of low-code development with OmniStudio

2. Data Integration and Mapping
- Integrating data sources with OmniStudio
- Configuring data mapping and transformation using OmniStudio
- Implementing data synchronization and validation processes

3. User Interface Design and Experience
- Designing and customizing user interfaces in OmniStudio
- Creating responsive and intuitive user experiences
- Implementing dynamic forms and page layouts

4. Process Automation and Orchestration
- Automating business processes using OmniStudio
- Creating workflows and approvals in OmniStudio
- Implementing process orchestration and integration

5. Application Development with Flow and Lightning
- Building applications using Flow and Lightning in OmniStudio
- Leveraging declarative development features
- Creating custom actions and components

6. Testing and Debugging
- Testing and validating OmniStudio applications
- Debugging and troubleshooting issues in OmniStudio
- Implementing error handling and exception management

7. Deployment and Release Management
- Planning and executing application deployments in OmniStudio
- Managing version control and change management
- Implementing release management best practices

Exam Objectives:

1. Understand the key concepts and features of Salesforce OmniStudio.
2. Integrate data sources and configure data mapping using OmniStudio.
3. Design and customize user interfaces in OmniStudio.
4. Automate business processes and orchestration using OmniStudio.
5. Develop applications using Flow and Lightning in OmniStudio.
6. Test, debug, and troubleshoot OmniStudio applications.
7. Deploy and manage applications in OmniStudio.

Exam Syllabus:

1. Introduction to OmniStudio
- Key concepts and features of OmniStudio
- Components and capabilities of OmniStudio
- Low-code development with OmniStudio

2. Data Integration and Mapping
- Data source integration with OmniStudio
- Data mapping and transformation in OmniStudio
- Data synchronization and validation processes

3. User Interface Design and Experience
- User interface design in OmniStudio
- Customization of user experiences
- Dynamic forms and page layouts

4. Process Automation and Orchestration
- Business process automation in OmniStudio
- Workflows and approvals in OmniStudio
- Process orchestration and integration

5. Application Development with Flow and Lightning
- Application development using Flow and Lightning
- Declarative development features
- Custom actions and components

6. Testing and Debugging
- Testing and validation of OmniStudio applications
- Debugging and troubleshooting in OmniStudio
- Error handling and exception management

7. Deployment and Release Management
- Application deployment in OmniStudio
- Version control and change management
- Release management best practices

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Salesforce Certified OmniStudio Developer
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Question: 26
A developer creates a DataRaptor Extract to retrieve data to pass to an external service. The external service expects
the field value to be integer. However, the DataRaptor is sending it as a string.
Which action can the developer take to fix this?
A. In the DataRaptor Output tab, select the Output Data Type of that field to Integer.
B. In the DataRaptor Output tab, enter the default value as 0 on the field.
C. In the DataRaptor Extract tab, set the Input Data Type field to Integer.
D. In the DataRaptor Formula tab, define a formula using the function TOINTEGER and use the formula as output.
Answer: A
Question: 27
Why would a developer clone an Integration Procedure instead of versioning it?
A. The new Integration Procedure uses a Cache Block.
B. The new Integration Procedure it replacing stub data.
C. The new Integration Procedure will be used independently
D. The new Integration Procedure is Chainable.
Answer: C
Question: 28
A developer needs to build a multi-step intake form. Each step must allow the user to cancel the intake at any time.
The developer is using an LWC OmniScript to build the form.
How should the developer implement the cancel functionality for all steps using the LWC OmniScript Designer?
A. Check the Enable Cancel checkbox in the Setup tab under Cancel Options.
B. Add a navigation Action inside each step and set the Component name to ��Cancel��,
C. Add a navigation Action outside each step and set the Element Name to ��Cancel��,
D. Add a navigation Action inside each step and set the Element Name to ��Cancel��,
Answer: A
Question: 29
What OmniStudio tool pre-populates the data m a PDF used by an OmniScript?
A. A SOQL Query
B. A DataRaptor Load
C. A DataRaptor Extract
D. A DataRaptor Transform
Answer: D
Question: 30
A developer needs to retrieve data from an external system that stores policy data. The external system supports REST
APIs to access and update the policies. Due to the volume of the policy data and peak hours of business, calls to the
REST APIs sometimes take longer than expected to respond.
The developer creates an Integration Procedure to retrieve the policy data for use in an OmniScript.
Given the external system�s known performance issues, which two configurations should be used to implement the call
to the external system? Choose 2 answers
A. Set the Timeout property on the HTTP Action in the Integration Procedure
B. Check the Chainable checkbox on the Integration Procedure Action in the OmniScript
C. Configure a Remote action with timeout settings of 120000
D. Check the Chain On Step checkbox on the HTTP Action in the Integration Procedure
Answer: A,C
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Salesforce launches AI Cloud to convey fashions to the enterprise

Salesforce is launching a brand new suite of items geared toward bolstering its place in the extremely-aggressive AI space.

called AI Cloud, the suite, which includes tools designed to bring “commercial enterprise in a position” AI, is Salesforce’s newest go-disciplinary try to increase its product portfolio with AI capabilities. in lots of methods, it’s a continuation of the generative AI initiative that the business launched in March, which goals to comprise generative AI across the complete of the Salesforce platform.

“It’s in reality about bringing generative AI in a depended on vogue to the business,” Adam Caplan, SVP of emerging technology at Salesforce, advised TechCrunch in a phone interview. “We’re moving extremely fast to leverage the heritage we've in AI and build this into our stack in a trusted style.”

AI Cloud hosts and serves AI fashions — chiefly text-producing models — from various partners, together with Amazon web services, Anthropic, Cohere and OpenAI on Salesforce’s cloud infrastructure. First-party fashions can be found from Salesforce’s AI analysis division, powering capabilities like code generation and company procedure automation. Or shoppers can bring a customized-informed mannequin to the platform whereas storing statistics on their personal infrastructure.

the self-esteem isn’t a ways off from Amazon’s lately launched Bedrock, which provides a family of fashions educated in-residence by AWS in addition to pre-informed models from startup partners.

“What we’re doing is we’re in fact taking an ecosystem method — an open strategy — and dealing with the superior mannequin for the most advantageous use case,” Caplan talked about.

Generative AI everywhere

The Salesforce-developed fashions in AI Cloud vigour new capabilities in Salesforce’s flagship items, including facts Cloud, Tableau, move and MuleSoft. There’s 9 fashions in complete: revenue GPT, carrier GPT, advertising GPT, Commerce GPT, Slack GPT, Tableau GPT, stream GPT and Apex GPT.

income GPT can quickly auto-craft personalized emails, while service GPT can create carrier briefings, case summaries and work orders in keeping with case statistics and consumer background. advertising and marketing GPT and Commerce GPT, in the meantime, can generate viewers segments for targeting and tailoring product descriptions to each purchaser in line with their customer statistics, or supply concepts like how to raise normal order cost.

photograph credits: Salesforce

Slack GPT, Tableau GPT, move GPT and Apex GPT are somewhat extra specialized in nature. Slack GPT and flow GPT let clients build no-code workflows that embed AI moves, whether in Slack or movement. Tableau GPT can generate visualizations in line with herbal language prompts and surface facts insights. As for Apex GPT, it might scan for code vulnerabilities and imply inline code for Apex, Salesforce’s proprietary programming language.

a few of the models are are living as of nowadays, including Slack GPT, Commerce GPT, sales GPT and repair GPT. The rest — minus circulation GPT, which lands in October — are scheduled to arrive as early as this month.

photo credits: Salesforce

One evident omission in Cloud AI is a picture-generation model along the strains of DALL-E 2 and reliable Diffusion. Caplan talked about that it’s within the works, acknowledging the usefulness for creating advertising campaigns, touchdown pages, emails and greater. however he brought that there’s quite a number barriers — from copyright to toxicity — Salesforce goals to beat before it releases it.

trust layer

So what else units AI Cloud apart? smartly, Salesforce is touting Einstein believe Layer, a brand new AI moderation and redaction service. corresponding to Nvidia’s NeMo Guardrails, Einstein have faith Layer makes an attempt to keep away from text-producing models from protecting sensitive information, equivalent to client buy orders and phone numbers.

Einstein have confidence Layer’s geared toward companies with strict compliance and governance requirements that’d constantly avert them from using generative AI equipment, Caplan says. certainly, it’s timely. A growing list of establishments, including Amazon, Goldman Sachs, and Verizon have banned or confined using generative AI like ChatGPT, citing privacy risks.

“The #1 query from every client is around believe and security and the way we are able to allow them as business to method these new technologies — this new world — in a secure style,:” Caplan stated.

Einstein have confidence Layer sits between an app or carrier and a textual content-generating model, detecting when a instantaneous may contain delicate information and automatically getting rid of it on the backend earlier than it reaches the mannequin. The provider can also filter for toxicity (e.g., sexism, racism, and other kinds of discrimination), even if in a instantaneous or within the response from a mannequin.

users who link models from third-birthday celebration structures equivalent to Amazon SageMaker or Google’s Vertex AI to AI Cloud can still faucet Einstein have faith Layer, Salesforce says. And for OpenAI customers, Salesforce says that it’s centered a “trust partnership” with OpenAI to bring joint content material moderation the use of OpenAI’s security equipment together with Einstein believe Layer.

Moderating models and prompts is intricate business, and Salesforce has an awful lot within the way of competition. Microsoft, which simply closing month debuted a new AI carrier to moderate textual content and pictures, including from models, presents mannequin customization alternate options comparable to Einstein have faith Layer by means of its Azure OpenAI service (albeit only for OpenAI fashions).

perhaps that’s why, to additional differentiate AI Cloud from the different managed AI provider offerings obtainable, Salesforce is launching an array of instant “templates” and immediate template constructing equipment. Salesforce says the template’s “optimized” AI prompts use “harmonized” information to floor mannequin-generated outputs in the context of a corporation’s needs, influencing the excellent and relevance of the generated content.

It’s in the activity of cutting back the time and value to adapt a generative AI mannequin in AI Cloud to a selected use case, Caplan talked about. as an example, a client could create a template that “instructs” a mannequin to note electronic mail responses in a method that’s aligned with a condo style, or that draws in certain customer guidance from a Salesforce database.

“It’s definitely a fundamental shift in terms of the first-rate of an email and the difference between greater time-honored replica versus reproduction grounded within the customer relationship management information,” Caplan talked about.

Of course, on the spot engineering isn’t a brand new science. And other generative AI systems, like creator, Jasper and even Grammarly, deliver how you can steer fashions’ responses toward definite patterns. Arguably the precise price proposition here — at the least the one Salesforce is underlining — is the benefit with which Salesforce facts can be related to (and manipulated via) a model.

For valued clientele already entrenched in the Salesforce product ecosystem, it’s likely a compelling earnings pitch.

“AI plus facts plus client relationship administration is a very powerful combination,” Caplan pointed out. “we will continue to make these prompts smarter and enhanced. And that’s going to be definitely effective, as well as training the models and delivering more price to our clients and identical things across the stack.”

AI Cloud will launch someday this year, Salesforce says, with Einstein have confidence Layer set to turn into generally attainable later this month.

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Salesforce-OmniStudio-Developer Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

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