By Format: Multiple Choice
Duration: 90 Minutes
Exam Price:
Number of Questions: 55
Passing Score: 65%
Validation:
The Oracle certification exam with code 1Z0-1071-23 is a key assessment for professionals seeking expertise in Oracle Cloud Infrastructure and Services in 2023. Aspiring candidates can explore detailed information about this exam, including the syllabus and study materials, to prepare effectively for success. Oracle’s official website is a valuable resource for obtaining accurate and up-to-date information on the 1Z0-1071-23 exam. In addition to the official documentation, candidates may benefit from engaging with community forums and study groups where they can exchange experiences and discover useful insights from others who have undertaken the same certification journey. The exam plays a crucial role in validating proficiency in Oracle Cloud technologies, making it an essential step for individuals looking to enhance their skills and advance their careers in the dynamic field of cloud computing.
This exam has been validated against Oracle Cloud Infrastructure 2023
Examkingdom Oracle 1Z0-1071-23 Exam pdf,
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Policy: Cloud Recertification
Earn associated certifications
Passing this exam is required to earn these certifications. Select each certification title below to view full requirements.
Oracle Cloud Infrastructure 2023 Certified Digital Assistant Professional
Prepare to pass exam: 1Z0-1071-23
An Oracle Cloud Infrastructure 2023 Certified Digital Assistant Professional certification is intended for chatbot developers and other professionals who want to showcase their proficiency in knowledge and skills required to design and deploy digital assistants in Oracle Digital Assistant.
Individuals who earn this certification can create intents and entities for the classification of user input, design conversation flows, create backend integrations, and tune digital assistant routing behavior.
Take recommended training
Complete one of the courses below to prepare for your exam (optional):
Become a Digital Assistant Developer (2023)
Practice Exam
Additional Preparation and Information
A combination of Oracle training and hands-on experience (attained via labs and/or field experience), in the learning subscription, provides the best preparation for passing the exam.
Review exam topics
The following table lists the exam objectives and their weightings.
Objectives % of Exam
Intro to Conversational AI and Oracle Digital Assistant 10%
Conversation Design 25%
Design and Build Intent/Entities 25%
Dialog Flows, Custom Components and Backend Services 20%
Digital Assistants, Channels, Resource Bundles and Multilingual Digital Assistants 20%
Intro to Conversational AI and Oracle Digital Assistant [10%]
What is Conversational AI?
Linguistic Model Concepts
What is Oracle Digital Assistant
Introduction to Skills
Introduction to Digital Assistants
Introduction to Channels
Conversation Design [25%]
The benefits of a conversational digital assistant
What makes a great conversation
The conversational project timeline
The human skills you need for a conversational project
The fundamentals of conversation design
Design and Build Intents, Create and Build Entities [25%]
NLP and designing intents
Utterance creation and testing
Extracting information from entities
Entity event handlers
Machine learning entities
Dialog Flows, Custom Components, and Backend Services [20%]
Introduction to dialog flows
Dialog flow components
Dialog flow design considerations
Answer intents in dialog flows
Building action menus
Custom components
How to call backend services
Digital Assistants, Channels, Resource Bundles, and Multilingual Digital Assistants [20%]
Digital Assistant Basics
Routing in Digital Assistants
Channel Basics
Web Channels
Webhook Channels
Multilingual Digital Assistants
Build an Intelligent FAQ Digital Assistant
Sample Question and Answers
QUESTION 1
What purpose do a digital assistant’s system intents serve?
A. They handle high-level responses, such as requests for help and unresorvable user input
B. They provide useful answers for common off-topic requests, such as “what’s today’s weather.”
C. They allow the user to report errors and other system problems with the digital assistant.
D. They facilitate connections with other Oracle backend services.
Answer: A
QUESTION 2
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?
A. Set the digital assistant’s Confidence Win Margin to a value that exceeds the difference between the two confidence scores.
B. For each intent, create an entity of phrases that are distinct to each intent, and add the appropriate entity to the corresponding intent.
C. Set Explicit Invocation Threshold to 0.
D. set the digital assistant’s Confidence Threshed to 1.
Answer: A
QUESTION 3
Which is a benefit of providing natural variance in utterances when designing for a digital assistant?
A. It removes all boundaries and limit from the training data.
B. It makes It easier for the model to learn from the context of the sentence.
C. It simplifies the process of categorizing sentences into different classes.
D. It reduces the need for clean and grammatically correct utterances.
Answer: B
QUESTION 4
Which is NOT a primary benefit of a digital assistant for businesses?
A. Reduced development effort
B. Reduced workload on call centers
C. Faster and more efficient service to customers
D. Streamlined customer service processes
Answer: A
QUESTION 5
Which three would typically be regarded good examples of a conversational sweet spot.?
A. Completing a complex tax return
B. High-load call center questions such as “Where is my order”
C. Booking a family holiday with a travel agent
D. Gathering customer details before agent handover
E. Entering vacation time
Answer: B, C, D
QUESTION 6
What challenge does ambiguity present in NaturaJ1 Language Processing (NLP)?
A. Determining the correct meaning of a sentence
B. Converting words into high-dimensional vectors
C. Processing text in multiple languages
D. Removing non-word characters from text
Answer: A
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