Oracle Cloud Platform Data Management 2019 Associate : 1Z1-1071

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Oracle 1Z1-1071 Exam Syllabus Topics:

Oracle Cloud Platform Data Management 2019 Associate Sample Questions:

1. Which three statements are FALSE regarding entity resolution using a composite bag?

A) You can define validation code using Apache Freemarker for entity item values.
B) Each entity item in the composite bag can have only one value.
C) Every entity item in the composite bag must be prompted for and have a value entered.
D) The composite bag will automatically resolve any entity values found in the initial user input.
E) You can define multiple prompts for each entity item in the composite bag.
F) When a user inputs entity values, they can only be resolved in the order in which they are defined within the composite bag.

2. In reviewing a colleague's code, you note the following code in the dialog flow which takes user input and replaces the words "authorized user" or "auth user" with "AU" before then calling the intent resolution in the dialog flow with the altered string.
"${utterance.value?replace( 'authorized userlauth user", ,AU','r')}"
Why would your colleague have done this?

A) "Authorized" and "auth" are reserved words and would fail intent resolution.
B) The language tag is being changed to Australian (AU) to better match the language of the training utterances.
C) The sentence is being normalized by replacing different versions of words such that they are aligned with the term used in the training utterances.
D) The above code has no impact on intent resolution.
E) By replacing "Authorized" and "auth", one is able to bypass the usual authentication mechanism, which requires a user to log on.

3. 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) For each intent, create an entity of phrases that are distinct to each intent, and add the appropriate entity to the corresponding intent.
B) 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.
C) Change the Confidence Win Margin so that both intents are offered to the user.
D) Change the Confidence Threshold during your testing until the correct intent always wins.
E) Keep adding training data until you get a predictable result every time.

4. Which three statements are true about composite bag entities?

A) When you add entities to the composite bag, you can control how they get extracted in related to other entities and when they are prompted for.
B) The composite bag will always enforce that every entity has a valid value before allowing the conversation to move on to the next state in the dialog flow.
C) They define a business domain object as a collection of related system entities and custom entities.
D) You need to create a separate composite bag to handle nonentity types such as strings. Locations, and attachments.
E) The composite bag can resolve all entity values using only a single state in the 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 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) 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) Add StationEntity to the Routelnfolntent intent and then update the training data with phrases beginning with "from".

Solutions: