Students find these Class 9 AI MCQ Chapter 2 AI Project Cycle Class 9 MCQ Online Test with Answers helpful for self-assessment and preparation.
Class 9 AI Project Cycle MCQ
MCQ on AI Project Cycle Class 9
Class 9 AI Project Cycle MCQ – AI Project Cycle MCQ Class 9
Multiple Choice Questions
Question 1.
The AI Project Cycle is a …….. that uses scientific methods to solve problems and draw conclusions.
(a) Step-by-step process
(b) Random process
(c) Reverse process
(d) None of these
Answer:
(a) Step-by-step process
Question 2.
The stages of the AI project cycle are
(a) Problem Scoping & Data Acquisition
(b) Data Exploration & Modelling
(c) Evaluation
(d) All of the above
Answer:
(d) All of the above
Question 3.
In. ………. we need to address the problem and what the advantages will be for the stakeholders once the problem is solved.
(a) Who
(b) What
(c) Where
(d) Why
Answer:
(d) Why
Question 4.
Summarizes all of the important points in one place.
(a) Problem statement template
(b) Problem statement document
(c) Problem statement file
(d) None of the above
Answer:
(a) Problem statement template
Question 5.
The method of collecting correct and dependable data to work with is known as ……… .
(a) Problem Scoping
(b) Data Acquisition
(c) Data Exploration
(d) Modelling
Answer:
(b) Data Acquisition
Question 6.
When you explore the data and try to put it uniformly for a better understanding. It is called. ………. .
(a) Data acquisition
(b) Problem scoping
(c) Data exploration
(d) Modelling
Answer:
(c) Data exploration
Question 7.
Refers to developing algorithms, also called models which can be trained to get intelligent.
(a) Data acquisition
(b) Problem scoping
(c) Data exploration
(d) Modelling
Answer:
(d) Modelling
Question 8.
………… element helps us to understand and categorize who is directly and indirectly affected by the problem.
(a) Who
(b) What
(c) Where
(d) Why
Answer:
(a) Who
Question 9.
…………. section aids us in analyzing and recognizing the nature of the problem.
(a) Who
(b) What
(c) Where
(d) Why
Answer:
(b) What
Question 10.
What does data acquisition involve in the AI Project Cycle?
(a) Analyzing data patterns
(b) Collecting relevant data for the project
(c) Implementing machine learning algorithms
(d) Generating predictions without data
Answer:
(b) Collecting relevant data for the project
Question 11.
What is the primary purpose of extracting data features in the context of an Al project?
(a) To confuse the machine learning algorithm
(b) To visualize factors affecting the problem statement
(c) To make the project conflict with other AI projects
(d) To acquire irrelevant data
Answer:
(b) To visualize factors affecting the problem statement
Question 12.
Which of the following is mentioned as a reliable source for authentic information in data acquisition?
(a) Random internet websites
(b) Private databases without proper sources
(c) Government-hosted open-access websites
(d) Social media platforms
Answer:
(c) Government-hosted open-access websites
Question 13.
Data Acquisition involves acquiring $\qquad$ for the project.
(a) Computers
(b) Data
(c) Software
(d) Servers
Answer:
(b) Data
Question 14.
In an Al project, historical salary information used for training is termed as ………. .
(a) Testing data
(b) Prediction data
(c) Training data
(d) Acquired data
Answer:
(c) Training data
Question 15.
Which of the following is a method to collect data?
(a) Observations
(b) Web scraping
(c) Sensors
(d) All of these
Answer:
(d) All of these
Question 16.
What does API stand for?
(a) Advanced Programming Interface
(b) Application Programming Interface
(c) Algorithmic Protocol Integration
(d) Automated Processing Interface
Answer:
(b) Application Programming Interface
Question 17.
System map in Al is primarily used to:
(a) Visualize the timeline of an AI project
(b) Identify and illustrate the components and relationships within an AI system
(c) Display’statistical data
(d) Track the financial expenses of an AI project
Answer:
(c) Display’statistical data
Question 18.
What is the primary objective of data exploration?
(a) Analyzing data
(b) Visualizing data
(c) Understanding data
(d) Extracting insights
Answer:
(c) Understanding data
Question 19.
What is the purpose of data visualization in data analysis?
(a) To complicate data interpretation
(b) To obscure trends and patterns
(c) To simplify data understanding
(d) To hinder communication of insights
Answer:
(c) To simplify data understanding
Question 20.
Which data visualization technique is best suited for illustrating proportions or part-to-whole comparisons?
(a) Bar Chart
(b) Scatter Plot
(c) Pie Chart
(d) Histogram
Answer:
(c) Pie Chart
Question 21.
What is the drawback of using a pie chart for complex data sets?
(a) Inability to displafy trends
(b) Lack of clarity
(c) Difficulty in interpretation
(d) Limited use of color
Answer:
(b) Lack of clarity
Question 22.
What is the main advantage of using a scatter plot?
(a) Illustrating proportions
(b) Displaying part-to-whole comparisons
(c) Identifying trends or correlations
(d) Showing time-related information
Answer:
(c) Identifying trends or correlations
Question 23.
Which of the following is a key benefit of using a system map in Al?
(a) Simplifies complex processes and helps in understanding relationships
(b) Provides detailed project timelines
(c) Highlights individual performance metrics
(d) Outlines the financial budget of an AI project
Answer:
(a) Simplifies complex processes and helps in understanding relationships
Question 24.
Which stage of the AI project cycle involves gathering and filtering data from various sources?
(a) Data Exploration
(b) Data Visualization
(c) Data Acquisition
(d) Data Analysis
Answer:
(c) Data Acquisition
Question 25.
Which visualization technique is best suited for illustrating the frequency of a particular occurrence?
(a) Scatter Plot
(b) Choropleth Map
(c) Word Cloud
(d) Histogram
Answer:
(d) Histogram
Statement Based Questions
Question 1.
Statement 1 The “Who” block helps analyze people directly or indirectly affected by the problem.
Statement 2 The “What” block focuses on identifying the context or situation of the problem.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 2 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Question 2.
Statement 1 The phases of the AI project cycle include Data Exploration.
Statement 2 The initial steps of requirement gathering, planning, and designing in a project cycle may vary in order depending on the project.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Question 3.
Statement 1 Evaluation is the first stage of the AI project cycle.
Statement 2 Precision in the evaluation phase measures how well the model avoids false alarms.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(d) Statement 2 is correct but Statement 1 is incorrect
Question 4.
Statement 1 Good quality training data is crucial for the performance of a machine learning model.
Statement 2 Testing data should have the same distribution of features as the actual dataset.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Question 5.
Statement 1 Observations can be a time-consuming data source.
Statement 2 Sensors are part of loT and collect physical data.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Question 6.
Statement 1 The data with which the machine can be trained is the testing data.
Statement 2 The data with which the model is evaluated is the training data.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incolrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(b) Both Statement 1 and Statement 2 are incorrect
Question 7.
Statement 1 Data visualization helps in spotting trends and patterns in the data.
Statement 2 Data visualization reduces the complexity of data.
(a) Both Statement 1 and Statement 1 are correct
(b) Both Statement 1 and Statement 1 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 1 are correct
Assertion and Reason Based Questions
Question 1.
Assertion Problem Identification is the first step in the AI project cycle.
Reason A well-defined problem statement helps in focusing on the root cause of the problem and avoids unnecessary details or assumptions.
(a) Both Assertion and Reason are true, and Reason is the correct explanatioh of Assertion.
(b) Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.
(c) Assertion is true, but Reason is false.
(d) Both Assertion and Reason are false.
Answer:
(a) Both Assertion and Reason are true, and Reason is the correct explanatioh of Assertion.
Question 2.
Assertion Data Acquisition is a crucial stage in the AI project cycle as it involves gathering relevant information for the project.
Reason Data Acquisition involves acquiring raw facts, figures, or statistics necessary for training AI systems.
(a) Both assertion and reason are true, and the reason is the cortect explanation of the assertion.
(b) Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
(c) Assertion is true, but the reason is false.
(d) Assertion is false, but the reason is true.
Answer:
(a) Both assertion and reason are true, and the reason is the cortect explanation of the assertion.
Question 3.
Assertion Testing data should be new and unseen to ensure the model’s ability to generalize to different scenarios.
Reason The testing data quality is essential for the machine learning model’s performance.
(a) Both Assertion and Reason are true, and the Reason is the correct explanation for the Assertion.
(b) Both Assertion and Reason are true, but the Reason is not the correct explanation for the Assertion.
(c) Assertion is true, but the Reason is false.
(d) Assertion is false, but the Reason is true.
Answer:
(a) Both Assertion and Reason are true, and the Reason is the correct explanation for the Assertion.
Question 4.
Assertion Data visualization in data exploration leverages familiar visual cues such as shapes, dimensions, colors, lines, points, and angles.
Reason Humans process visual data better than numerical data, making it challenging for data scientists to communicate meaning without visual components.
(a) Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
(b) Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.
(c) Assertion is true, but Reason is false.
(d) Assertion is false, but Reason is true.
Answer:
(a) Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
Question 5.
Assertion Bar charts are an effective method for data visualization when comparing categories and measured values.
Reason Bar charts can become problematic when there are too many categories included and may oversimplify complex data sets.
(a) Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
(b) Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.
(c) Assertion is true, but Reason is false.
(d) Assertion is false, but Reason is true.
Answer:
(b) Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.
The post AI Project Cycle Class 9 MCQ Online Test appeared first on Learn CBSE.