Core Gen AI Concepts Quiz Questions Answers - Navi Era - Tech | Tutorial

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Sunday, April 27, 2025

Core Gen AI Concepts Quiz Questions Answers

 

Core Gen AI Concepts Quiz Questions Answers


Core Gen AI Concepts Quiz Questions Answers


Q1. What is a "model" in the context of machine learning?

Option 1: A type of computer hardware.

Option 2: A complex mathematical structure that processes inputs to generate outputs.

Option 3: A visual representation of data.

Option 4: A set of pre-defined rules for decision-making.


Q2. Arrange the ML lifecycle steps in the right order.

Option 1: Data ingestion and preparation > Model training > Model management > Model deployment

Option 2: Data ingestion and preparation > Model training > Model deployment > Model management

Option 3: Model training > Model deployment > Model management > Data ingestion and preparation

Option 4: Model training > Data ingestion and preparation > Model deployment > Model management


Q3. Which of the following is an example of unstructured data?

Option 1: A spreadsheet with customer names, addresses, and purchase history.

Option 2: A table of employee names, salaries, and job titles.

Option 3: A collection of customer reviews in the form of free-text paragraphs.

Option 4: A database of product IDs, prices, and inventory levels.


Q4. How does consistency impact AI model training?

Option 1: It increases the speed of data retrieval.

Option 2: It ensures data is relevant to the task.

Option 3: It reduces the need for data storage.

Option 4: Inconsistent formats and labeling can confuse the model and hinder learning.


Q5. What is the primary purpose of the data ingestion and preparation stage in the ML workflow?

Option 1: Deploying trained models.

Option 2: Training machine learning models.

Option 3: Monitoring model performance.

Option 4: Collecting, cleaning, and transforming raw data.


Q6. What is the primary way that agents learn in reinforcement learning?

Option 1: By observing and imitating expert demonstrations.

Option 2: By interacting with their environment and receiving feedback.

Option 3: By analyzing large datasets of labeled examples.

Option 4: By being explicitly programmed with the correct actions.


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