Topic 3: Misc. Questions
You are building a flight booking bot by using the Microsoft Bot Framework SDK.
The bot will ask users for their departure date. The bot must repeat the question until a valid date is given, or the users cancel the transaction. Which type of dialog should you use?
A.
prompt
B.
action
C.
waterfall
D.
adaptive
prompt
You have a text-based chatbot.
You need to enable content moderation by using the Text Moderation API of Content Moderator. Which two service responses should you use? Each correct answer presents part of the solution NOTE: Each correct selection is worth one point.
A.
the adult classification score
B.
optical character recognition (OCR)
C.
personal data
D.
text classification
E.
the racy classification score
the adult classification score
D.
text classification
You are building an app by using the Speech SDK. The app will translate speech from French to German by using natural language processing.
You need to define the source language and the output language.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


You are building an app that will scan confidential documents and use the Language service to analyze the contents.
You provision an Azure Cognitive Services resource.
You need to ensure that the app can make requests to the Language service endpoint. The solution must ensure that confidential documents remain on-premises.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.


You have an Azure Cognitive Search solution and a collection of blog posts that include a category field. You need to index the posts. The solution must meet the following requirements:
• Include the category field in the search results.
• Ensure that users can search for words in the category field.
• Ensure that users can perform drill down filtering based on category.
Which index attributes should you configure for the category field?
A.
searchable, facetable, and retrievable
B.
retrievable, filterable, and sortable
C.
retrievable, facetable, and key
D.
searchable, sortable, and retrievable
retrievable, filterable, and sortable
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a chatbot that uses question answering in Azure Cognitive Service for Language Users report that the responses of the chatbot lack formality when answering spurious questions.
You need to ensure that the chatbot provides formal responses to spurious questions.
Solution: From Language Studio, you change the chitchat source to qna_chitchat_professional.tsv. and then retrain and republish the model.
Does this meet the goal?
A.
Yes
B.
No
Yes
You are building a chatbot.
You need to configure the chatbot to query a knowledge base.
Which dialog class should you use?
A.
AdaptiveDialog
B.
QnAMakerDialog
C.
ComponentDialog
D.
SkillDialog
QnAMakerDialog
You have a Language service resource that performs the following:
• Sentiment analysis
• Named Entity Recognition (NER)
• Personally Identifiable Information (Pll) identification
You need to prevent the resource from persisting input data once the data is analyzed.
Which query parameter in the Language service API should you configure?
A.
loggingOptOut
B.
piiCategories
C.
showStats
D.
Model-version
loggingOptOut
You are building a solution that will detect anomalies in sensor data from the previous 24 hours.
You need to ensure that the solution scans the entire dataset, at the same time, for anomalies.
Which type of detection should you use?
A.
batch
B.
streaming
C.
change point
batch
Explanation:
Batch anomaly detection is a type of anomaly detection that scans the entire dataset at once for outliers and unusual patterns. Batch anomaly detection is suitable for offline analysis of historical data, such as sensor data from the previous 24 hours. Batch anomaly detection can use various techniques, such as statistical methods, machine learning methods, or hybrid methods, to identify anomalies in the data123.
You develop an app in O named App1 that performs speech-to-speech translation.
You need to configure App1 to translate English to German.
How should you complete the speechTransiationConf ig object? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.


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