1Z0-1071-20 無料問題集「Oracle Cloud Platform Application Integration 2020 Associate」

（A）You should define a next transition on every state.

（B）Avoiding empty transitions will prevent many unexpected dialog flows.

（C）Empty transitions can lead to unexpected navigation.

（D）Empty transitions occur when using the next transition element.

（A）Out-of-order messages occur when a user scroll the conversation history displayed in the messenger client and selects that is no longer in scope for the current conversation.

（B）Dialog flow navigation continues with the state referenced in the out-of-order-message action.

（C）Out-of-order messages are not handled by default. Designers must define out-of-order message handlers at the skill level.

（D）Chatbots don't control the user's input and, therefore, cannot prevent users from selecting out-of-scope actions.

（A）The current conversation stops and the skill returns to the system, intent and awaits user input.

（B）The digital assistant displays a dialog to confirm if the user wants help. If the user selects "yes", the skill returns to the system, intent and awaits user input.

（C）The digital assistant displays a prompt and a card which can be configured to show examples of what the skill can do.

（D）The digital assistant displays the information contained in the Description field of the skill.

（E）Nothing. You need to explicitly define a help state in the pizza skill.

（A）Users
https://docs.oracle.com/en/solutions/handoff-skill-to-live-agent/transfer-users-skill-bot-live-agent1.html#GUID-237F078E-94FF-4A4B-9B70-CA04D619C49F

（B）System

（C）Agent Integrations

（D）Applications

（A）If the digital assistant recognizes the user is asking for help, it will automatically route the conversation to a skill called "Help".

（B）You can define utterances that the digital assistant will recognize when the user is asking for help.

（C）The help intent cannot route the conversation to a specific state within a skill.

（D）The utterances for the help intent are predefined and cannot be changed.

（A）Ensure that capabilities of the bot f the things that it can and can't do") are clear and discoverable.

（B）Use quick reply buttons (as opposed to natural language inputs) as much as possible.

（C）To account for possible mistakes, make it clear to users that the bot is still learning.

（D）Ask users open-ended questions such as "how can I help you?"

（A）The skill displays the message "Please wait, we're reviewing your order", then displays "Almost done...", then displays "Thank you for your order.", and then waits for user input.

（B）The skill displays the message "Please wait, we're reviewing your order", then displays "Almost done...", and then waits for user input.

（C）The skill displays the message "Please wait, we're reviewing your order" and then waits for user input.

（D）The skill displays the message "Please wait, we're reviewing your order", then displays "Almostdone...", then displays "Thank you for your order.", and then completes the conversation.

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

（C）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.

（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.