Dependable 1z0-1071-23 Exam Dumps to Become Oracle Certified [Q34-Q52]

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Dependable 1z0-1071-23 Exam Dumps to Become Oracle Certified

Get Ready with 1z0-1071-23 Exam Dumps (2024)

QUESTION 34
Which statement describes what Natural language rocess1ng (NLP) does?

It is a task of t translation.

It is a task of classification.

lt is a task of anomaly detection.

It is a task of dimensionality reduction.

QUESTION 35
You have an intent for ordering pizza. Its utterances are: I want to order pizza I want to buy a pizza I want to get a pizza I want to get a pizza delivered I want to order Which statement is true about the intent?

To ensure that requests to order pizza resolve to this intent, you need to add lowercase versions of the utterances.

The utterances are extensive and varied enough for an “order pizza” use case.

More single word utterances are necessary to make this intent more distinct.

The skill would likely give a user utterance of “I want to order Pasta” a very high confidence score for this intent.

QUESTION 36
Which is the correct description of a no sequitur in terms of digital assistant routing?

When a user is already engaged with one skill in a digital assistant and then enters a message that matches a different skill.

When a user enters a message that is within the domain and scope of the digital assistant, but which the digital assistant can’t resolve

When a user enters a message that is outside the domain and scope of the digital assistant’s purpose

When the digital assistant responds to a user message with a system error

QUESTION 37
Which three would typically be regarded good examples of a conversational sweet spot.?

Completing a complex tax return

High-load call center questions such as “Where is my order”

Booking a family holiday with a travel agent

Gathering customer details before agent handover

Entering vacation time

QUESTION 38
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

QUESTION 39
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

QUESTION 40
Which is NOT necessarily true of a digital assistant with strong conversational qualities?

Ensures the user always gets the answer they are seeking

Guides the user through the turns and expectations of a conversation

Makes the conversation engaging to the user

Works to reduce ambiguity to avoid misunderstandings

QUESTION 41
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.

QUESTION 42
Which statement regarding the difference between digital assistance and ordinary chatbots (skills) Oracle Digital Assistant is FALSE?

Only a digital assistant supports Intelligent routing.

Only a digital assistant can support multiple channels.

Only a digital assistant supports cross-domain Interactions.

Only a digital assistant can have multipurpose uses.

QUESTION 43
Which three tasks are the responsibility of the conversation champion and designer?

Driving conversational best practices

Writing skill responses that are engaging, helpful, and empathetic

Validating, dealing up, and augmenting training utterances

Running conversation design workshops

Designing for reuse and best practices to ensure that the skill can be easily maintained and enhanced over time

QUESTION 44
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

QUESTION 45
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

QUESTION 46
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.

QUESTION 47
Which statement correctly describes conversational AI?

It refers to machines that mimic human Intelligence to perform tasks and iteratively Improve themselves based on the Information they collect.

It is a subset of artificial intelligence that focuses on a conversational interaction with a human.

It is the trademarked name of the APIs behind ChatGPT.

It is a multipurpose Chabot that can converse with users on a variety of topics.

QUESTION 48
Which statement about ML entities is true?

ML entities require you to fill In synonyms for all the values.

ML entities are a super set of multiple value list entities.

The values of ML entities are extracted with the help of a translation service.

Ml entities use a model that you build from annotated training utterances to Identify the entity values in a user message.

QUESTION 49
Which three are goals of a conversation workshop?

Define a persona for the digital assistant.

Determine who will be using the digital assistant and what they expect of it.

Define the conversation flow in detail, Including determining where you can modular sizeflows.

Determine what the happy path and unhappy path will look like.

Gather the majority of training utterances for your intents.

QUESTION 50
Which statement about a digit assistant is FALSE?

It can communicate with customers through different messaging platforms.

It intelligently routes user messages based on NLP and rule-based routing.

It ensures that a user completes a conversation in skill before allowing that user to trigger the intent of a different skill.

It can be used to manage a set of skills, including skills that you create yourself and skills that you have added from Skill Store.

QUESTION 51
What is the difference between implicit and explicit end flows?

Implicit end flows always return an action string, whereas explicit end flows do not.

Implicit end flows return values using output parameters, whereas explicit end flows do not.

Implicit end flows are added as a component state, whereas explicit end flows are not.

Implicit end flows do not need to be added to a flow, whereas explicit end flows do.

QUESTION 52
Which statement describes what you use action transitions for?

Display a button that enables the user to select an option handled by a different flow.

Navigate to another state based on the outcome of the component.

Navigate to another flow based on the outcome of the component.

Display a button that enables the user to select an option handled by the current flow.

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