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Oracle Cloud Platform Data Management 2019 Associate Sample Questions:

1. What is the purpose of the training models within Oracle Digital Assistant?

A) allow a skill to classify user input to defined intents
B) automatically crowdsource sample data to which user input is matched
C) automatically create n number of classifications where n is a parameter defined for each skill
D) build a complete semantic language model allowing a skill to understand 98% of user input in the trained language

2. Which two statements about message translation in a skill are true?
If auto-translation is enabled and a component has its translate property set to false, then the component output message or level will not get auto-translated to the detected user languages.
A system.Output component that reads its text message from a resource bundle does not require auto-translation or its translate property set to true to display translated.

A) A missing system. DetectLanguage state in a dialog flow causes an exception for components that read their output message from bundle.
B) For the System.Translateinput component to work, it requires a previously executed system.DetectLanguage component state.
C) Enabling auto-translation in a dialog flow does not translate the user input message.

3. 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) All utterances should start with an uppercase letter and end with a period.
C) The word "please" may inadvertently skew the results.
D) The utterances have too much commonality.
E) The number of utterances looks to be too low and artificial for a go-live.
F) You should never have single-word utterances.

4. Imagine that you have a financial planning skill. Which two functionalities would typically be implemented as a custom component?

A) displaying any type of input component
B) running the skill within a webpage
C) routing the dialog flow based on values returned from a backend service
D) returning the current value of a requested stock price in a skill message
E) routing to another skill within the suite of skills assembled within a digital assistant

5. 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) 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.
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) Add StationEntity to the Routelnfolntent intent and then update the training data with phrases beginning with "from".
D) 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.

Solutions: