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BPCL AI Quiz

Authored by Vijay Agrawal

Computers

Professional Development

Used 2+ times

BPCL AI Quiz
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes supervised learning? (Single correct answer)

Learning without labeled data

Learning with labeled data

Finding patterns in unlabeled data

Generating new content from existing data

2.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

In the context of machine learning, which of these are common applications in the oil and gas industry? (Multiple correct answers)

Predicting equipment failure

Clustering similar geological formations

Identifying customer segments for targeted marketing

Developing financial reports manually

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of machine learning problem would be best suited to predicting equipment downtime? (Single correct answer)

Classification

Clustering

Regression

Generative AI

4.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Which of the following are examples of unsupervised learning? (Multiple correct answers)

Clustering similar data points

Labeling images based on past data

Identifying hidden patterns in data

Predicting values based on labeled data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does automation differ from machine learning? (Single correct answer)

Automation relies on data, while machine learning does not

Machine learning automates decision-making without fixed rules

Automation changes its logic based on data

Machine learning only processes images and sounds

6.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Large Language Models (LLMs) are mainly used for which of the following tasks? (Multiple correct answers)

Text generation and summarization

Predicting numerical data from sensors

Data clustering

Answering questions based on a large volume of text

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following correctly describes generative AI? (Single correct answer)

It generates new data based on training data patterns

It classifies data based on historical records

It automates repetitive tasks

It groups data without labeled examples

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