Class 9 Exam  >  Class 9 Notes  >  Artificial Intelligence (AI) for Class 9  >  Practice Questions: Data Acquisition

Practice Questions: Data Acquisition | Artificial Intelligence (AI) for Class 9 PDF Download

Q1. What is the main purpose of data acquisition in an AI project?
(a) To design the user interface
(b) To write the final code
(c) To acquire data for training and testing the AI model
(d) To deploy the model

Ans: (c)
Data acquisition is the process of gathering relevant and authentic data needed to train and test AI models.

Q2. Which of the following best defines “Training Data”?

(a) Data used to decorate the project

(b) Data used for final output

(c) Data used to test the AI system

(d) Data used to train the AI system

Ans: D
Training Data is the data used to teach the AI system how to perform a task by learning from patterns.

Q3. What is the correct term for the data used to evaluate the performance of an AI model after it has been trained?

(a) Working Data

(b) Training Data

(c) Testing Data

(d) Temporary Data

Ans: C
Testing Data is used after training to see how well the model performs on unseen data.

Q4. What must be ensured while collecting data for an AI project?

(a) It is expensive and branded

(b) It is available in bulk

(c) It is authentic and relevant

(d) It is taken from social media

Ans: C
Data must be authentic and relevant to produce reliable results in AI projects.

Q5. Which of the following is a reliable source for open-source government data?

(a) movies.com

(b) data.gov.in

(c) facebook.com

(d) youtube.in

Ans: B
Government websites like data.gov.in provide reliable and open-source data for public use.

Q6. In the System Map, a ‘+’ sign between two elements indicates:

(a) They are oppositely related

(b) One affects the other randomly

(c) They are directly related

(d) They are not related at all

Ans: C
A ‘+’ sign shows a direct relationship, meaning both variables increase or decrease together.

Q7. Which of these is NOT a method of acquiring data mentioned in the textbook?

(a) Surveys

(b) Observations

(c) Stealing private data

(d) Internet-based research

Ans: C
Collecting private data without permission is unethical and illegal.

Q8. What is a System Map used for in AI project development?

(a) To draw UI screens

(b) To plan coding strategy

(c) To understand relationships among data features

(d) To install software

Ans: C
System Maps help visualize the relationships between different elements of a problem.

Q9. What is the best reason to use government portals for data acquisition?

(a) They are colorful

(b) They allow social interaction

(c) They contain authentic, open-source information

(d) They offer free games

Ans: C
Government portals are reliable sources for authentic and open data.

Q10. What does a long arrow in a system map usually represent?

(a) Strong connection

(b) Time delay in cause-effect

(c) Weak connection

(d) Direct transfer of data

Ans: B
Long arrows in a system map indicate a longer time for the effect to occur (time delay).

The document Practice Questions: Data Acquisition | Artificial Intelligence (AI) for Class 9 is a part of the Class 9 Course Artificial Intelligence (AI) for Class 9.
All you need of Class 9 at this link: Class 9
32 videos|57 docs

FAQs on Practice Questions: Data Acquisition - Artificial Intelligence (AI) for Class 9

1. What is data acquisition and why is it important in various fields?
Ans.Data acquisition is the process of collecting, measuring, and analyzing data from various sources to make informed decisions. It is crucial in fields such as engineering, healthcare, environmental monitoring, and research, as it helps in understanding trends, improving processes, and ensuring safety and efficiency.
2. What are the common methods of data acquisition?
Ans.Common methods of data acquisition include manual data collection, automated sensors, surveys, and online data collection tools. Each method has its advantages and disadvantages, and the choice of method depends on the specific requirements of the study or project.
3. How does technology impact data acquisition processes?
Ans.Technology has significantly enhanced data acquisition processes by enabling faster data collection, real-time monitoring, and improved accuracy. Advances in sensors, data loggers, and software tools allow for more efficient data management, making it easier to analyze large datasets.
4. What role does data acquisition play in scientific research?
Ans.Data acquisition plays a pivotal role in scientific research by providing the empirical evidence needed to validate hypotheses and theories. It allows researchers to gather quantitative and qualitative data, which can be analyzed to draw conclusions and contribute to the body of scientific knowledge.
5. What are the challenges faced in data acquisition?
Ans.Challenges in data acquisition include data quality issues, privacy concerns, and the need for appropriate tools and technology. Ensuring accurate and reliable data can be difficult, especially when dealing with large datasets or when data is obtained from diverse sources.
Related Searches

video lectures

,

pdf

,

MCQs

,

study material

,

Practice Questions: Data Acquisition | Artificial Intelligence (AI) for Class 9

,

Sample Paper

,

Important questions

,

Practice Questions: Data Acquisition | Artificial Intelligence (AI) for Class 9

,

Objective type Questions

,

mock tests for examination

,

Semester Notes

,

practice quizzes

,

Free

,

past year papers

,

Practice Questions: Data Acquisition | Artificial Intelligence (AI) for Class 9

,

Viva Questions

,

shortcuts and tricks

,

Summary

,

Extra Questions

,

Previous Year Questions with Solutions

,

ppt

,

Exam

;