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Oracle Cloud Platform Data Management 2019 Associate - 1Z0-1071 real prep

1Z0-1071
  • Exam Code: 1Z0-1071
  • Exam Name: Oracle Cloud Platform Data Management 2019 Associate
  • Updated: Nov 11, 2025
  • Q & A: 75 Questions and Answers
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Oracle Cloud Platform Data Management 2019 Associate Sample Questions:

1. What does this dialog flow do?

A) It loops back to the intent state until the user enters an utterance that resolves to an intent.
B) It logs how many times it takes each user to enter an utterance that resolves to an intent.
C) It stops the conversation if the user can't enter any utterances that resolve to an intent.
D) If the user does not enter an utterance that resolves to an intent within three tries, it transitions to a state to handle the user problem.


2. You want your skill to transfer conversations over to Oracle Service Cloud customer service representatives. Which type of channel do you create to enable the skill to do this?

A) Applications
B) Users
C) System
D) Agent Integrations


3. Which statement is true regarding the default implementation of out-of-order messages?

A) There is no default implementation for out-of-order messages.
B) In the default implementation, when an out-of-order message is detected the navigation continues with the state name associated with the out-of-order message action.
C) Navigation remains in the current state.
D) All variables referenced by the out-of-order-message action are cleared.


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

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


5. 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) By keeping 20% for testing, you are able to test the model with data on which it has not been specifically trained.
C) Batch testing works more efficiently when there is a ratio of one test utterance for every five training utterances.
D) By performing an 80/20 split, you are randomizing which data is added to the utterances.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: D
Question # 3
Answer: A
Question # 4
Answer: C
Question # 5
Answer: A

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