Correct Answer:

Correct Answer: B

https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/split-data?view=azureml-api-2 Use the Split Data component to divide a dataset into two distinct sets.

This component is useful when you need to separate data into training and testing sets. You can also customize the way that data is divided. Some options support randomization of data. Others are tailored for a certain data type or model type.

Correct Answer: C

Natural language processing (NLP) has many uses: sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.

Note: Specifically, you can use NLP to:

*-> Classify documents. For instance, you can label documents as sensitive or spam.

Do subsequent processing or searches. You can use NLP output for these purposes.

Summarize text by identifying the entities that are present in the document.

Tag documents with keywords. For the keywords, NLP can use identified entities.

Do content-based search and retrieval. Tagging makes this functionality possible.

Summarize a document's important topics. NLP can combine identified entities into topics.

Categorize documents for navigation. For this purpose, NLP uses detected topics.

Enumerate related documents based on a selected topic. For this purpose, NLP uses detected topics.

Score text for sentiment. By using this functionality, you can assess the positive or negative tone of a document.

Reference: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

Correct Answer: C

Key phrase extraction is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. Use key phrase extraction to quickly identify the main concepts in text. For example, in the text "The food was delicious and the staff were wonderful.", key phrase extraction will return the main topics: "food" and "wonderful staff".

Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/key-phrase-extraction/overview

Correct Answer: A

Build an enterprise-grade conversational bot

This reference architecture describes how to build an enterprise-grade conversational bot (chatbot) using the Azure Bot Framework.

Authentication. Users start by authenticating themselves using whatever mechanism is provided by their channel of communication with the bot. The bot framework supports many communication channels, including Cortana, Microsoft

Teams, Facebook Messenger, Kik, and Slack.