Ace 1z0-1071-23 Certification with 57 Actual Questions [Q10-Q34]

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Ace 1z0-1071-23 Certification with 57 Actual Questions

PASS Oracle 1z0-1071-23 EXAM WITH UPDATED DUMPS

Oracle 1z0-1071-23 Exam Syllabus Topics:

Topic	Details
Topic 1	Digital Assistants, Channels, Resource Bundles, and Multilingual Digital Assistants Extracting information from entities
Topic 2	Answer intents in dialog flows Machine learning entities NLP and designing intents
Topic 3	Utterance creation and testing The fundamentals of conversation design
Topic 4	What is Oracle Digital Assistant The human skills you need for a conversational project
Topic 5	Intro to Conversational AI and Oracle Digital Assistant Design and Build Intents, Create and Build Entities
Topic 6	Dialog Flows, Custom Components, and Backend Services The benefits of a conversational digital assistant
Topic 7	How to call backend services Introduction to dialog flows Linguistic Model Concepts
Topic 8	What makes a great conversation Introduction to Digital Assistants

Q10. Which is NOT a primary reason for implementing naming conventions for artifacts such as intent and resource bundle entries?

Makes It Easter to filter and view artifacts at design time

Makes it easier to debug any runtime problems with the, conversations

Makes it easier for copy writers and conversation designers to locate strings and con-vernation states

Makes it easier to keep the artifact names brief

Q11. Which is the primary responsibility of a conversational project’s business owner?

Defining the use cases, goals, and measures of success for the project

Ensuring viability of the NLP model, including designing Intents

Designing the details of each specific flow and how these can be reused during development

Being the designated expert on all things related to conversational AI

Q12. What challenge does ambiguity present in NaturaJ1 Language Processing (NLP)?

Determining the correct meaning of a sentence

Converting words into high-dimensional vectors

Processing text in multiple languages

Removing non-word characters from text

Q13. When testing your digital assistant, you notice that two of Its intents consistently rank as top but in varying order. Given the unpredictable nature of Which intent gets the top score, what might you do to make sure the user gets a disambiguation prompt for the two intents?

Set the digital assistant’s Confidence Win Margin to a value that exceeds the difference between the two confidence scores.

For each intent, create an entity of phrases that are distinct to each intent, and add the appropriate entity to the corresponding intent.

Set Explicit Invocation Threshold to 0.

set the digital assistant’s Confidence Threshed to 1.

Q14. When using the Web channel, what is the recommended way to configure the Web messenger?

In the dialog flow, use resource bundles in ICU format to convey configuration options to the messenger.

Use an external configuration file, such as the one used In the Oracle Web SDK sample.

Create a custom component in the dialog flow to pass configuration parameters to the messenger.

Design a component for the widget in your preferred JavaScript framework.

Q15. What would you use a user channel for in Oracle Digital Assistant.?

To integrate your digital assistant with a messaging client.

To test your digital assistant locally

To set up an external application to Initiate a conversation with a user.

To integrate your digital assistant with a B2C or B2B agent.

Q16. What are entities in skill development?

Variables that identify key pieces of information from user input and enable the skill to fulfill a task

The definition of the skill-user Interaction

Functions that allow a skill to respond to users, such as outputting text or performing custom logic.

Categories of actions or tasks users expect your, skill to perform for them

Q17. In which case would you need to use an entity event handler?

You need to do a backend check to validate bag items.

You need to resolve an entity value, such as “before Friday,” that relies on a prefix.

You need to use Apache FreeMarker expressions to resolve bag items.

You need to use regular expressions to resolve bag Items.

Q18. Which statement is most relevant to good digital assistant design?

The digital assistant should teach users keywords to use during the conversation.

The digital assistant should display detailed error messages to the user when there is a system problem or a user provides invalid input.

The digital assistant should be geared toward getting the user to say what they want in their own words.

The digital assistant should use menus to guide users through each step of the conversation.

Q19. Which three statements are true about composite bag entities?

They define a business domain object as a collection of related system and custom entitles.

When you add entitles to the composite bag, you can control how they get extracted with respect to other entities and when they are prompted for.

You need to create a separate composite bag to address nonentity types, such as strings, locations, and attachments.

The composite bag can resolve all entity values using only a single state in the dialog flow.

The composite bag always enforces every entity Item to have a valid value before allowing the conversation to move to the next state in the dialog flow.

Q20. How are candidate flows determined in a digital assistant?

By comparing the confidence scores for each skill’s candidate flows against candidate Skills Confidence Threshold

By evaluating each intent in the candidate skills according to the Intent model for each skill

By comparing the input’s confidence scores for each skill against the Built-In System In-tent Confidence Threshold setting

By comparing the confidence scores for each skill’s intent model against Candidate Skills Confidence Threshold

Q21. Which is NOT a best practice for designing intent flows?

Build flows that focus on a single conversational task.

limit the number of flows per skill.

Delegate reusable functionality to service flows.

Keep flows small and simple.

Q22. Which stop in a conversational project timeline should be performed first?

Build Back-end integration.

Build the NLP model.

Build conversation flows.

Run a conversation design workshop.

Q23. When would you set a component’s Keep Turn property to False?

The component in invoking another flow.

You want to immediately transition to the next state without allowing user input.

You want the skill to Walt for user input before transitioning to the next state.

The component is invoking another skill.

Q24. What can you do with Digital Assistant’s Data Manufacturing feature?

Crowd source the creation of utterances for your intents.

Use Al to generate a full set of utterances for your intents based on a few sample utterances that you provide.

Generate answers for answer intents.

Create a skill that translates a user’s input into SQL queries, sends the queries to a backend data source, and displays the response.

Q25. Which is NOT a primary benefit of a digital assistant for businesses?

Reduced development effort

Reduced workload on call centers

Faster and more efficient service to customers

Streamlined customer service processes

Q26. Which is NOT typically a desirable quality in a digital assistant’s conversational style?

Is natural, collaborative, and personable

Acknowledges input and shows that It understands it

Sometimes makes lighthearted digressions

Embraces positive human qualities like empathy, humor, and contrition (when appropriate)

Q27. How does explicit invocation affect routing behavior in a digital assistant?

The explicitly invoked skill is automatically added to the list of candidate skills, even if the user input does not match any of its intents.

The digital assistant routes to the explicitly invoked skill and does not take into account confidence scores for other skills.

All the Intents of the explicitly Invoked skill are automatically considered candidate flows.

All skills except for the explicitly invoked skill are ignored for the rest of the session.

Q28. Which statement is true regarding skill training models in Digital Assistant?

You should have no more than 10 Intents in each skill.

Each intent should have a roughly similar number of utterances.

The model you train each intent on depends on the number of utterances that you have.

You should include spelling mistakes and ungrammatical phrases in about half of the utterances.

Q29. How are flows connected to each other in skills developed with Visual Flow Designer?

Through backend services

Through a master map file

Through user inputs

Through invoke-flow calls

Q30. Which statement is true about answer intents?

AI is used to write the answers to user questions based on the persona you have de-fined.

AI is used to create training utterances based on the answer you have provided.

They require fewer training utterances than regular intents.

They do not each require their own flow.

Q31. Which three tasks are key parts of the skill developer role?

Establishing quantitative measures of NLP Improvements to determine the success of the model

Working closely With the integration team to ensure that the skill can make calls to the backend as needed.

Implementing conversation flows that include entity extraction, varied prompting, validation, error handling, and disambiguation

Setting up data manufacturing jobs with high-quality guidance and questions

Defining processes related to versioning and deployment, ensuring that changes are property managed and rolled out without disrupting the user experience

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Oracle 1z0-1071-23 Exam Syllabus Topics:

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