Correct Answer:

Explanation:

You are calling the Face API to find similar faces from an existing list called employeefaces.
Key facts from the scenario:
The list contains 60,000 images.
In Face API:
faceListId # limited to 1,000 faces.
largeFaceListId # designed for very large lists, up to 1,000,000 faces.
Since employeefaces has 60,000 images, you must use LargeFaceListId, not faceListId.
Parameters in the Request Body
" faceId " : " 18c51a87-3a69-47a8-aedc-a54745f708a1 "
This is the face to search for.
" largeFaceListId " : " employeefaces "
Must use LargeFaceListId because the list has 60,000 images.
" maxNumOfCandidatesReturned " : 1
Limits the number of matches returned.
" mode " : " matchFace "
Two options exist:
" matchFace " # returns the most similar individual faces.
" matchPerson " # groups faces by person.
Since the requirement is find similar faces, use " matchFace " .
Completed Answer
{
" faceId " : " 18c51a87-3a69-47a8-aedc-a54745f708a1 " ,
" largeFaceListId " : " employeefaces " ,
" maxNumOfCandidatesReturned " : 1 ,
" mode " : " matchFace "
}
Correct Values to Drag and Drop
LargeFaceListId # " employeefaces "
matchFace # " mode "
Final Answer:
First blank: LargeFaceListId
Second blank: matchFace
Microsoft References
Face API - Find Similar
Face API - Large Face List operations

Correct Answer:

Explanation:
Box 1: findsimilars
https://docs.microsoft.com/en-us/rest/api/faceapi/face/find-similar
Box 2: matchPerson
Find similar has two working modes, " matchPerson " and " matchFace " . " matchPerson " is the default mode that it tries to find faces of the same person as possible by using internal same-person thresholds. It is useful to find a known person ' s other photos. Note that an empty list will be returned if no faces pass the internal thresholds. " matchFace " mode ignores same-person thresholds and returns ranked similar faces anyway, even the similarity is low. It can be used in the cases like searching celebrity-looking faces.
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/detectwithurl
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar

Correct Answer:

Explanation:

Dialog Recap
The Bot Framework Composer dialog shown:
Bot asks: "What is your name?"
User input stored in user.name .
Property is user.name with a value expression: =coalesce(@user.Name, @personName) Bot asks: "Hello ${user.name}, how old are you?" User input stored in user.age .
Statement Analysis
user.name is an entity.
No.
user.name here is not an entity. It is a property in the bot's memory (user state).
Entities come from LUIS/CLU recognition, while this is a variable property.
The dialog asks for a user name and a user age and assigns appropriate values to the user.name and user.age properties.
Yes.
The dialog explicitly prompts for a text input (name) and a number input (age) and assigns them to user.name and user.age .
The chatbot attempts to take the first non-null entity value for userName or personName and assigns the value to user.name.
Yes.
The expression =coalesce(@user.Name, @personName) ensures that if @user.Name exists, it's used; otherwise, it tries @personName . This is exactly first-non-null entity resolution.
Final Answer
user.name is an entity. # No
The dialog asks for a user name and a user age and assigns appropriate values to the user.name and user.age properties. # Yes The chatbot attempts to take the first non-null entity value for userName or personName and assigns the value to user.name. # Yes Microsoft References Bot Framework Composer - Memory and Properties Expressions and coalesce function Reference:
https://docs.microsoft.com/en-us/composer/concept-language-generation

Correct Answer: B  🗳️

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Correct Answer: C  🗳️