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Oracle Cloud Platform Data Management 2019 Associate Sample Questions:

1. Which three options are true for this dialog flow code?

A) The above code is poor programming because the accountType variable will be set twice.
B) If the result of calling system.SetVariable results in accountType being unset or null, the dialog engine moves to use the next state, which is a system.List component that shows various account options.
C) The system.List component always displays a list of options, regardless of the value of accountType.
D) Usage of empty transitions is a bad practice because it can lead to unexpected results.
E) If System. SetVariable Sets accountType to a value, the System. List component does not display a list of options.

2. 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.

3. You have a skill for ordering pizzas. In your experience, you have found that 95% of your customers want a regular crust and just 5% prefer gluten-free crust. Because so few people are likely to want a gluten-free crust, you don't want to prompt for that option, but you do want to make it available.
Assuming you already have a composite bag entity that contains a PizzaCrust entity that has the values "regular" and "gluten free", what would be the simplest way to have your skill enable a user to order a pizza with a gluten-free crust without the skill prompting the user for that option?

A) Don't set a prompt for the PizzaCrust entity item and set the Out of Order Extraction property to True.
B) Don't set a prompt for the PizzaCrust entity item.
C) For the PizzaCrust entity item, set the Extract With property to reference an entity with the single value "gluten free".
D) In the composite bag, set the PizzaCrust entity item's Prompt for Value property to False. Then, once the the composite bag is resolved, check if the PizzaCrust entity has a value. If it doesn't, set its value to "regular".

4. You have been asked to make recommendations to a customer on the value of having a catalogue of test phrases that you can use for batch testing intents.
Which statement is the recommendation you would NOT make?

A) Having a baseline test allows you to determine whether your intent resolution is still functioning within expected limits given any updates to your service.
B) Batch testing allows you to have a baseline of phrases to test against, so you can demonstrate whether your skill is resolving intents more accurately over time.
C) Batch testing allows you to confirm that any changes you make to the intent utterances do not inadvertently change other intent resolutions.
D) Batch testing allows you to test every combination of conversation through your dialog flow.

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 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.
B) 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.
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: