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Generative AI and Microsoft Quiz

Total questions: 17

Worksheet time: 6mins

Name
Class
Date
1.

What is the primary function of a generative AI model?

a)

Data storage

b)

Data analysis

c)

Content generation

d)

Data compression

2.

Which neural network architecture is most commonly used for generative AI?

a)

Convolutional Neural Networks (CNNs)

b)

Recurrent Neural Networks (RNNs)

c)

Transformer Models

d)

Support Vector Machines (SVMs)

3.

What does "LLM" stand for in AI?

a)

Latent Learning Mechanism

b)

Large Language Model

c)

Linear Logic Module

d)

Long-term Learning Machine

4.

Which of the following is NOT a common application of generative AI?

a)

Image synthesis

b)

Code generation

c)

File compression

d)

Text summarization

5.

What is the purpose of reinforcement learning in generative AI?

a)

Improve generative outputs through rewards

b)

Store training data efficiently

c)

Compress model weights

d)

Increase inference speed

6.

Which of the following is a challenge in generative AI?

a)

Model hallucinations

b)

Faster response times

c)

High interpretability

d)

Decreased computational costs

7.

What does "fine-tuning" mean in generative AI?

a)

Training a model from scratch

b)

Adjusting a pre-trained model on a specific dataset

c)

Reducing model size

d)

Improving GPU efficiency

8.

What is Microsoft’s AI-powered assistant in Windows 11?

a)

Cortana

b)

Copilot

c)

Bing AI

d)

Azure AI

9.

Which Microsoft cloud service is used for AI and machine learning?

a)

Microsoft Teams

b)

Azure Machine Learning

c)

Power BI

d)

Visual Studio Code

10.

What AI-powered tool does help Code in the GitHub?

a)

OpenAI Codex

b)

Copilot

c)

ChatGPT

d)

GitHub Actions

11.

Microsoft partnered with which AI research company to develop advanced AI models?

a)

DeepMind

b)

OpenAI

c)

Google Brain

d)

Anthropic

12.

How does Microsoft’s Responsible AI initiative aim to improve AI models?

a)

By reducing computational costs

b)

By ensuring fairness, transparency, and accountability

c)

By making AI models more complex

d)

By limiting AI accessibility

13.

What is deep learning, and how does it differ from traditional machine learning?

a)

It uses shallow neural networks with limited parameters

b)

It relies on hierarchical layers of neural networks to learn complex patterns

c)

It is primarily used for simple classification tasks

d)

It does not require large datasets for training

14.

Which of the following is an example of generative AI mimicking creativity?

a)

Predicting stock prices based on historical data

b)

Generating an original painting in the style of Van Gogh

c)

Sorting emails into spam and non-spam categories

d)

Recognizing objects in an image

15.

What is DALL·E primarily designed for?

a)

Generating realistic text responses

b)

Creating images from text descriptions

c)

Analyzing large datasets

d)

Translating languages

16.

Which AI model architecture powers DALL·E?

a)

CNN (Convolutional Neural Network)

b)

Transformer-based model

c)

RNN (Recurrent Neural Network)

d)

Decision Tree

17.

What is the primary purpose of Microsoft Copilot Studio?

a)

To develop and customize AI-powered assistants for business applications

b)

To create and edit video content

c)

To train deep learning models from scratch

d)

To design website layouts automatically