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Oracle 1Z1-1071 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Backend Integration and Channels | 15% | - Supported channels and deployment - Custom components development - Multilingual support - Identity and service integration |
| Topic 2: Dialog Flow Implementation | 25% | - System and visual components - Dialog flow navigation - Entity resolution - FreeMarker template operations |
| Topic 3: Conversation Design | 15% | - Validation loop avoidance - Conversation flow and personality - Error handling and out-of-order messages |
| Topic 4: Conversational AI, Intents and Entities | 25% | - NLP concepts and intent design - Training and testing models - Composite bag entities - Entity creation and usage |
| Topic 5: Oracle Digital Assistant Essentials | 20% | - Architecture and core components - Skills and Digital Assistant overview - Provisioning and setup |
Oracle Cloud Platform Data Management 2019 Associate Sample Questions:
You are advised to implement an 80/20 split with training and test utterances. This means that 80% of new utterances harvested from the conversation logs should be used as intent training utterances and 20% for testing.
Why is this a good practice?
- A. Adding 100% of user phrases to the intent would overload the model.
- B. Batch testing works more efficiently when there is a ratio of one test utterance for every five training utterances.
- C. By performing an 80/20 split, you are randomizing which data is added to the utterances.
- D. By keeping 20% for testing, you are able to test the model with data on which it has not been specifically trained.
What is the purpose of the training models within Oracle Digital Assistant?
- A. automatically create n number of classifications where n is a parameter defined for each skill
- B. build a complete semantic language model allowing a skill to understand 98% of user input in the trained language
- C. allow a skill to classify user input to defined intents
- D. automatically crowdsource sample data to which user input is matched
Which two statements about skills are true?
- A. Customers can only chat with skill when those skills managed by a digital assistant.
- B. Skills can access back-end services.
- C. Skills have dialog flows that you may configure to create conversation.
- D. Skills always use natural languages processing (NLP).
View the Exhibit.
You have been asked to review a skill for its readiness for go live. Which four issues would you raise as a priority?
- A. The unresolvedlntent has not been trained.
- B. The word "please" may inadvertently skew the results.
- C. The number of utterances looks to be too low and artificial for a go-live.
- D. All utterances should start with an uppercase letter and end with a period.
- E. The utterances have too much commonality.
- F. You should never have single-word utterances.
Which two statements are true for the system.webview component?
- A. Parameters passed from the skill to the web application are accessible through JavaScript.
- B. When registering web applications in a skill, bot designers can see the data structure returned by the app
- C. Property names in the web application response payload must match with the variable names in the dialog flow.
- D. Parameters passed from the skill to the web application cannot be accessed through JavaScript.
- E. The webview.onDone parameter is automatically added to the payload and passes the skill's callback URL property to the web application.
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