AI-900 Exam Prep

In the context of Azure Knowledge Mining, what is the purpose of a data source connection configuration?

• To define security policies for the data sources

• To specify the location of the search index

• To establish a connection with external databases

• To provide credentials and connection details for indexing data

In an Azure Knowledge Mining solution, which component allows you to define how the data should be processed during indexing and provides custom processing using Azure Functions?

• Skillset

• Blob Storage

• Indexer

• index

Within the context of Azure Knowledge Mining, which service facilitates the process of creating and managing custom skillsets to enrich the extracted information?

• Azure Cognitive Services

• Azure Machine Learning

• Azure Search

• Azure Logic Apps

What is the official Python library for the OpenAI API?

• openai

• openai-python

• openai-api

• openai-lib

What is the recommended way to store your OpenAI API Key?

• Hardcode it in your Python script

• Store it in a text file

• Pass it as a command-line argument

• Store it in a .env file using python-dotenv

What is the primary purpose of Named Entity Recognition (NER) in natural language processing?

• Translating text between languages

• Extracting insights from text data

• Recognizing and classifying entities like names, locations, and organizations in text

• Generating human-like text using language models

In the context of computer vision, what is a bounding box?

• A filter applied to enhance image contrast

• A rectangle that encloses an object of interest in an image

• The process of dividing an image into smaller regions

• A visual representation of pixel intensities in an image

What is the primary function of Azure Text Analytics?

• Language translation

• Creating custom language models

• Building conversational interfaces

• Sentiment analysis, key phrase extraction, and named entity recognition

Which machine learning technique is commonly used for anomaly detection?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Semi-supervised learning

What is the main objective of sentiment analysis in natural language processing?

• Identifying grammatical errors in text

• Extracting key phrases from text

• Recognizing and classifying emotions in text

• Generating human-like text using language models