You need to design the chat solution to answer the inquiry from Guest1. Which three components can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
B: Yes Escalations is a compete solution to answer question
C: Yes Smart Match can auto fill a topic to complete an enquiry
E: Yes Topics is a complete solution to answer question.
Wrong Answers;
A: Variables only store values and do not answer a question completely
D: Synonym is an alternate value. On its own it is not a complete solution
A. Variables: You can use variables to store information about the user's stay, such as their location and dates of stay. Each time Guest1 inquires about snow conditions, the bot can use these variables to provide up-to-date information about the weather conditions during their stay.
To design the chat solution to answer the inquiry from Guest1, you can use the following three components:
A. Variables:
Variables allow you to save responses from your customers in a conversation with your bot so that you can reuse them later in the conversation. This is useful for tracking information like the guest's name or specific details about their stay1.
C. Smart match:
Smart match helps the bot understand and match user inputs to specific entities or topics. This is useful for recognizing inquiries about snow conditions and other specific keywords1.
D. Synonyms:
Synonyms allow you to manually expand the matching logic by adding synonyms for key terms. This helps the bot understand different ways guests might ask about snow conditions, ensuring accurate responses1.
By using these components, you can create a robust chat solution that effectively handles inquiries about snow conditions and other topics.
C. Smart match: This helps the chatbot recognize and match specific keywords or phrases related to snow conditions, ensuring accurate responses.
D. Synonyms: This allows the chatbot to understand different ways guests might ask about snow conditions, improving the chatbot’s ability to provide relevant answers.
E. Topics: This organizes the conversation around specific subjects, such as snow conditions, making it easier for the chatbot to handle inquiries and provide detailed information.
B. Escalations - This allows the chat solution to escalate the question to a staff member if it cannot provide an answer.
D. Synonyms - Helps the chat solution understand variations of the term "snow conditions" or similar phrases.
E. Topics - This enables the chat solution to recognize and respond to specific inquiries like snow conditions based on pre-defined topics.
As a swiss I would say the reason why the person asks multiple times is that she/he wants to have updated information about the actual developments of snow conditions. Maybe early morning you are unable to ski but towards lunch time the weather changes and the snow conditions allow for skiing in the afternoon. Therefore picking the answer from a variable that saved the stat of early morning is not acceptable. I don't want to hear the snow condition from early morning when i re-consider going to ski at luch time. The current outlook is important.
Topics to define the conversation all around weather (snow) conditions and recommendations.
Smart match and Synonyms for talking about what the various alternative expressions for 'snow' (there are several words for different kind of snow). Plus in alpine regions you speak german, french, italian... somtimes even english ;-)
A. Variables
B. Escalations
C. Smart Match
The question mentions "If a question does require a staff member's attention, the solution must determine which staff member is best to assist the customer with the question."
This can be achieved by capturing the key information like a department in a Variable
"The information in the FAQ on the legacy website must be used in the chat solution but retyping all the data from the website should not be required."
This is done by B. Topics which has trigger phrases. No need to type everything
"If quests ask about topics that are not listed in the FAQ, the chat solution must identify the issue and escalate to a staff member."
B. Escalation
A. Variables
B. Escalations
C. Smart Match
The question mentions "If a question does require a staff member's attention, the solution must determine which staff member is best to assist the customer with the question."
This can be achieved by capturing the key information like a department in a Variable
"The information in the FAQ on the legacy website must be used in the chat solution but retyping all the data from the website should not be required."
This is done by C. Smart Matching
"If quests ask about topics that are not listed in the FAQ, the chat solution must identify the issue and escalate to a staff member."
B. Escalation
Excuse me.
The correct options are
A. Variables
B. Escalations
E. Topics
"The information in the FAQ on the legacy website must be used in the chat solution but retyping all the data from the website should not be required."
This is done by Topics which has trigger phrases. No need to type everything
E. Create Topic and trigger phrases
C. Smart match. Just in case someone just typed short names instead of full names. Possible options are Entities (to store city/region etc)
A. Variables to store the city/ zip code etc
Call and action should be selected if present in the option.
Ref: https://learn.microsoft.com/en-us/power-virtual-agents/advanced-use-flow
This question is awful. All answers can be part of the complete solutison.
1. create topic.
2. ask question.
3. identity pre-built or custom-entity( via list of synonyms) in the response to question. use smart matching to better match response to entity.
4. save response to variable.
5. escalate if necessary
all are correct
Why is Escalations?
A. Variables: You can use variables to store information about the user's stay, such as their location and dates of stay. Each time Guest1 inquires about snow conditions, the bot can use these variables to provide up-to-date information about the weather conditions during their stay.
C. Smart match: You can use smart matching to recognize patterns in Guest1's inquiries and extract relevant information such as the dates and location of their stay. The bot can then use this information to provide customized responses based on the specific dates and location of their stay.
E. Topics: You can create a topic for snow conditions that includes information about the weather conditions in the user's location during their stay. Each time Guest1 asks about snow conditions, the bot can direct them to this topic and provide the most up-to-date information about the weather conditions during their stay.
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