Last Updated: Jul 27, 2026
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| Section | Objectives |
|---|---|
| Topic 1: OCI DB Systems and Administration | - Monitor and patch database systems - Configure networking and connections - Create and manage DB systems |
| Topic 2: Database Migration to OCI | - Evaluate migration strategies - Use RMAN and cloning methods - Use SQL Developer and Data Pump |
| Topic 3: Oracle Cloud Infrastructure (OCI) and Data Management Basics | - Explain OCI database cloud services - Describe Oracle Cloud data management concepts |
| Topic 4: Autonomous Database Management | - Provision Autonomous Database - Configure and monitor autonomous instances |
| Topic 5: Exadata Cloud Service | - Describe Exadata Cloud Service - Deploy and manage Exadata instances |
1. 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) allow a skill to classify user input to defined intents
C) automatically crowdsource sample data to which user input is matched
D) build a complete semantic language model allowing a skill to understand 98% of user input in the trained language
2. Which property in system.ResolveEntities, when set to true, enables a temporary transition from the entity matching performed by this component to a state in which you may decide to call a custom component?
A) There is no such property, because this component is a closed system.
B) transitionAfterMatch
C) transitionBeforeMatch
D) transitionMatch
3. Imagine that you have a financial planning skill. Which two functionalities would typically be implemented as a custom component?
A) returning the current value of a requested stock price in a skill message
B) routing the dialog flow based on values returned from a backend service
C) routing to another skill within the suite of skills assembled within a digital assistant
D) running the skill within a webpage
E) displaying any type of input component
4. You are designing a skill for a railway company. You created a value list entity (StationEntity), which is the list of all possible train stations To resolve an intent (Routelnfolntent), you need to determine whether the user is asking for a route which is either to a station or from a station.
Which statement describes the most robust and efficient approach for extracting this information from the user input?
A) Add StationEntity to the Routelnfolntent intent and then update the training data with phrases beginning with "from".
B) Create two derived entities based on StationEntity. In one entity, set the preceding phrase to "to" (along with any required synonyms). In the other entity, do the same but with the preceding phrase "from". Add both entities to the Routelnfolntent intent.
C) Duplicate StationEntity. In one version, prefix all of the train station names with "to" and in the other prefix with "from". Then add both entities to the Routelnfolntent intent.
D) Create a value list entity called ToFromEntlty with values of "to" and "from" and with appropriate synonyms for each value. Create a value list called DirectionStation and add ToFromEntity and StationEntity to this. Then, add DirectionStation to the Routelnfolntent.
5. You have a skill and want it to prompt users for their name. The name should then be used in the welcome message at the beginning of each bot-user session.
Your user interface guidelines require that each part of the name begin with a capital letter (for example, John or Deo John Willin Doe).
Which two BotML code examples print the username correctly of the name is provided as"jOhn William doe" or "JOHN doe"?
A)
B)
C)
D)
E)
A) Option B
B) Option E
C) Option A
D) Option D
E) Option C
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: D,E |
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