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Oracle Cloud Platform Data Management 2019 Associate Sample Questions:

1. Which statement is FALSE regarding the core function of a digital assistant and how it could respond to user input?

A) It is able to automatically route the conversation to another digital assistant if the request can't be handled by the current digital assistant.
B) It is able to route the conversation to the start state of a skill that's managed by the digital assistant.
C) It is able to respond to a help request and return a help message, one that can be specific to one of its skills, or to the digital assistant itself
D) It is able to respond to a user request to exit the current conversation.

2. You are exploring a use case that calls for users to enter different types of entity values. As a way of minimizing the complexities involved in having users enter vales correctly in a text message,, you are considering a skill that enter data using visual GUI components such as radio buttons and fields that validate user input.
What should you to support this functionality?

A) Create a webview service that connects the skill to a web app that renders the order form.
B) Create a dedicated skill for collecting the information on the order form and then add it to a digital assistant.
C) Create a series of text prompts to collect the user input.
D) In the composite bag entity, add a regex entity.

3. You have gone through a number of testing iterations of your customer's skill that comprises 10 intents. But you find that generally the best you can get is a confidence score of 96%, even when the user phrase is identical to one of your training utterances.
What should you recommend to your customer regarding this intent confidence score?

A) Add more utterances to the unresolvedlntent.
B) Keep iterating on user testing and add more training utterances until you can achieve a confidence level of 100% on your user input.
C) For every verb in your training utterances, ensure you add a version of the utterance which also covers the past, present, and future tense of the verb.
D) The highest possible confidence with 10 intents is 10% (100% divided by the number of intents). So, no further changes to the skill are required.
E) It is not always possible to achieve 100% confidence and adding more utterances may not help the problem. Therefore, do not make further changes to the skill if it is performing to your expectations.

4. ting your skill with certain phrases, you notice that two intents within the skill consistently come out as the top two resolved ones and within a few points of each other.
Given the small and unpredictable nature of which intent was top, which strategy would be the easiest to employ to ensure that the user is able to choose the correct Intent?

A) Change the Explicit Invocation Threshold to zero to ensure that the correct intent is picked up when the user mentions the name of the intent.
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) Change the Confidence Win Margin so that both intents are offered to the user.
D) Keep adding training data until you get a predictable result every time.
E) Change the Confidence Threshold during your testing until the correct intent always wins.

5. At the end of its execution, a custom component processes the following lines of code, with the conversation variable being the reference to the custom component SDK.
conversation.reply("HelloWorld* ); conversation. keepTurn (true) ; done () ; Which statement correctly describes what this code does?

A) The code prints the "HelloWorld" message in response to the next user message.
B) The code triggers dialog flow navigation to a state, which has its name mapped to the current dialog flow state's HelloWorld action transition.
C) The code prints "HelloWorld" as a message and triggers dialog flow navigation to the next state.
D) The code prints "HelloWorld" as a message and waits for user input.
E) The code prints "HelloWorld" multiple times until an infinite loop gets detected by the dialog flow engine.

Solutions: