SkillTestPro | AI-900 Multiple Choice Questions

AI-900 Practice Test 5

AI-900 Practice Test

1 / 10

Which Responsible AI principle focuses on ensuring that there are mechanisms in place to hold individuals and organizations responsible for the impact of AI systems?

Fairness

Transparency

Accountability

Privacy and Security

Reliability and Safety

2 / 10

Which Azure Machine Learning capability allows you to create reusable workflows for training, evaluating, and deploying models?

Azure Machine Learning Studio designer

Azure Machine Learning pipelines

Azure Machine Learning compute instances

Azure Machine Learning datasets

Automated Machine Learning (AutoML)

3 / 10

What is the primary difference between a "classification" and a "regression" machine learning problem?

Classification predicts a continuous numerical value, while regression predicts a categorical label.

Classification involves identifying patterns in unlabeled data, while regression requires labeled data.

Classification is always supervised, while regression can be supervised or unsupervised.

Classification uses neural networks, while regression uses linear models.

Classification predicts a categorical label, while regression predicts a continuous numerical value.

4 / 10

Which Azure AI service provides capabilities for form processing, allowing you to extract structured data from documents like invoices and receipts?

Azure AI Language

Azure AI Vision

Azure AI Search

Azure Bot Service

Azure Machine Learning

5 / 10

What is the concept of "data drift" in machine learning?

When data is transferred between different storage locations.

When the statistical properties of the target variable change over time.

When the model is overfitted to the training data.

When new features are added to the dataset.

When the distribution of the input data changes over time, affecting model performance.

6 / 10

Which type of neural network is particularly well-suited for processing and analyzing sequential data, such as natural language or time series data?

Feedforward Neural Networks

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs)

Generative Adversarial Networks (GANs)

Autoencoders

7 / 10

A company wants to analyze vast amounts of text data (e.g., legal documents, research papers) to quickly find relevant information and relationships. Which AI workload would be most effective?

Conversational AI

Computer Vision

Predictive Analytics

Robotics

Knowledge Mining

8 / 10

Which AI concept is most relevant to systems that can learn from limited amounts of data by mimicking how humans might learn from fewer examples?

Deep Learning

Few-shot Learning

Reinforcement Learning

Batch Learning

Online Learning

9 / 10

What is the purpose of 'Azure Machine Learning environments'?

To define the compute resources for training.

To track and manage different versions of models.

To encapsulate the software dependencies required to run a machine learning workload.

To visualize model training metrics.

To store raw data for experiments.

10 / 10

You want to create a solution that can automatically generate a summary of long articles. Which Azure AI Language capability is designed for this?

Key Phrase Extraction

Entity Recognition

Sentiment Analysis

Text Summarization

Language Detection

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The average score is 77%