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NEW QUESTION: 1
You plan to create an intelligent bot to handle internal user chats to the help desk of your company. The bot has the following requirements:
* Must be able to interpret what a user means.
* Must be able to perform multiple tasks for a user.
* Must be able to answer questions from an existing knowledge base
You need to recommend which solutions meet the requirements.
Which solution should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: The Language Understanding (LUIS) service
Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
Box 2: Text Analytics API
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Box 3: The QnA Maker service
QnA Maker is a cloud-based Natural Language Processing (NLP) service that easily creates a natural conversational layer over your data. It can be used to find the most appropriate answer for any given natural language input, from your custom knowledge base (KB) of information.
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-dispatch
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview

NEW QUESTION: 2
You are the administrator for a company that has an Azure Premium Storage account.
You receive a .vhdx file from the development team. You plan to create one unique Azure virtual machine (VM) from the file. You plan to run the VM as a domain controller.
You need to upload the .vhdx file to Azure.
Which four 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.

Answer:
Explanation:

Explanation

NEW QUESTION: 3
What does the table partitioning feature in DB2 allow you to do?
A. Table partitioning allows you to create very large tables that are divided across multiple storage objects so that you can quickly attach and detach large quantities of data from the tables.
B. Table partitioning allows you to make smaller tables automatically from large tables, thereby increasing the performance of your DB2 database.
C. Table partitioning allows you to partition the table data based on the hash values of the primary key.
D. Table partitioning allows you to create result set tables from a join query, which automatically splits the data into smaller chunks, thereby increasing the performance of your DB2 database.
Answer: A

NEW QUESTION: 4
簡単なユーザークエリに答えるのに役立つビジネスチャットボットのコンテンツを提供する必要があります。
QnA Makerを使用して質問と回答のテキストを作成する3つの方法は何ですか？それぞれの正解は完全な解決策を提示します。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. 質問と回答を手動で入力します。
B. 既存のWebページから質問と回答を生成します。
C. 事前定義されたデータソースからチットチャットコンテンツをインポートします。
D. 自動機械学習を使用して、質問を含むファイルに基づいてモデルをトレーニングします。
E. ボットをCortanaチャネルに接続し、Cortanaを使用して質問します。
Answer: A,B,C
Explanation:
Explanation
Automatic extraction
Extract question-answer pairs from semi-structured content, including FAQ pages, support websites, excel files, SharePoint documents, product manuals and policies.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/content-types