Data Science Class 9 Questions and Answer

Here Students will learn some important Data Science Class 9 Questions and Answer .

Objective Type Questions

1) Data and information are the same

a) Yes

b) No 

Answer-b) No 

 

2) Social media platforms are responsible for creating data footprints

a) Yes

b) No

Answer-a) Yes

 

3) There is no risk of losing data

a) Yes

b) No

 

Answer-b) No

 

4) Websites and mobile apps use our search history to provide personalized offers

a) Yes

b) No

Answer-a) Yes

 

5) Which of the following is not in DIKW Model?

a) Data

b) Information

c) Security

d) Knowledge

 

Answer-c) Security

 

Data Science Class 9 Questions and Answer

 

6) Should you keep a data recovery plan?

a) Yes

b) No

 

Answer-a) Yes

 

 

7) What is your data footprint?

a) The data trail left by you when you surf the internet

b) The time you spend on your computer

c) The number of electronics you buy in a year

d) The number of apps you have on your Mobile

 

Answer-a) The data trail left by you when you surf the internet

 

8) How long is your data footprint visible?

a) It depends on the websites you visit

b) The data footprint wipes clean after a year

c) It creates a permanent record

d) The record expires after a month

 

Answer-a) It depends on the websites you visit

 

 

9) Who can use or see data from your data footprint?

a) It is visible to professionals, but they need special access to go through the data

b) No one can access data from your digital footprint

c) Only the police have access to the information on your data footprint

d) Your data footprint is potentially visible to anyone

 

Answer-d) Your data footprint is potentially visible to anyone

 

 

10) You regret posting a particular picture and want to take it down. Is it possible, and how would you do that?

a) It is a little tricky but can be done by asking a professional to do it. Then no one can see the photo.

b) You can delete the picture by clicking on the delete button. Then no one can see the photo anymore

c) Only the police can delete a picture uploaded by you

d) A photo can be deleted from your account, but someone might have already saved it or copied it. 

 

Answer-d) A photo can be deleted from your account, but someone might have already saved it or copied it. 

 

11)How can you improve your data footprint?

a) It is best not to post anything if you want to stay safe

b) It is not necessary to improve your data footprint.

c) Check your social media accounts’ privacy settings to make sure you share your posts with people you trust and know. 

d) Share your personal details with a good friend or family member so they can help you stay safe online

 

Answer- c) Check your social media accounts’ privacy settings to make sure you share your posts with people you trust and know. 

 

Data Science Class 9 Questions and Answer

Standard Questions (Short answer type questions)

1) Explain the difference between data and information?

Data refers to raw facts, figures, and symbols that have no meaning or context on their own.

On the other hand, information is the result of processing and organizing data to make it meaningful and useful. It provides context, knowledge, and understanding.

 

2) Give some examples of how data impacts our daily lives.

Data impacts our daily lives in multiple ways. Here are a few examples:

Personnalise Recommendations: Online platforms like streaming services, e-commerce websites and social media use data about our preferences, browsing histories and purchase behaviors to offer personalized recommendations tailored specifically for us.

Health Monitoring: Health apps track data about physical activities, heart rates, sleep patterns and more to provide insights into our overall wellbeing, track progress and suggest changes for a healthier lifestyle.

Traffic Optimization: Real-time information provided by GPS devices, traffic cameras and mobile apps helps us make informed decisions regarding road conditions, traffic congestion and alternative travel routes, helping us make intelligent choices about travel plans that save both time and effort.

Social Media Engagement: Social media platforms collect information about our interests, relationships and online behavior to customize newsfeeds with relevant advertisements and recommend content suited to our preferences. This data informs how curated our news feeds appear as well as which advertisements appear when browsing content.

Data Science Class 9 Questions and Answer

3) What are the different types of data loss?

Data loss comes in various forms. Below are the main forms:

Accidental Deletion: This occurs when data is accidentally deleted due to human error – for instance when accidentally deleting files or formatting storage devices.

Hardware Failure: Faulty hardware failures such as hard drive crashes, power surges or physical damage to storage devices can lead to data loss. When these incidents happen, accessing data stored there becomes difficult or even impossible.

Software Corruption: Software corruption may result from system crashes, malware infections or software glitches; in these instances, data files become inaccessible or corrupted and even cause data loss.

Malware or Virus Attacks: Malicious software like viruses, ransomware or spyware can infiltrate computers or storage devices and lead to data loss. Attacks like this may encrypt, delete or corrupt information in ways that make recovery impossible without adequate backup or countermeasures in place.

Theft or Loss: Losing data through theft or misplacement of a device such as a laptop, smartphone, or external hard drive can be devastating. Should such a device become lost or stolen, all its stored information could become irretrievably lost.

Data Science Class 9 Questions and Answer

 

4) What are data footprints? What are the different types of data footprints?

Data footprints (commonly known as digital footprints) refers to the digital imprint that’s left by one’s online activities, such as browsing websites or using social media platforms, purchasing items online and engaging in online communication. A data footprint may include personal details, browsing history, social media posts or transactions a person made online as well as any personal or financial data left in its wake.

Individuals leave multiple kinds of data footprints behind when they browse online:

Its Browser History: Each time an individual visits a website or performs a search query online, their browsing history is recorded. This data gives insights into their interests, preferences, and online behavior.

Social Media Activity: Interactions on social media platforms such as posts, comments, likes and shares contribute to one’s digital footprint, providing insight into personal interests, connections and opinions. This data can provide a glimpse of an individual’s interests, connections or beliefs.

Online Purchases: When making online purchases, data footprints are left behind, such as transaction details, product preferences and payment information.

Communication Records: Communication records created through emails, instant messaging and other forms of online interaction can provide data footprints that include conversation history, contact details and content shared between parties.

App Use: Mobile apps often collect user interactions, preferences and device data which contributes to an ever-increasing data footprint.

 

Data Science Class 9 Questions and Answer

5) Explain the DIKW model.

The DIKW Model is a framework that illustrates the progression of knowledge transformation from data to information, to knowledge, and wisdom. The acronym DIKW stands for Data, Information, Knowledge and Wisdom.

Data: At the core of DIKW is data, which refers to raw and unprocessed facts, figures, and symbols that lack context or meaning on their own.

Information: Data becomes information when organized, structured, and given context. Interpreting the data into information helps make sense of it all by answering who, what, when, and where questions. For example, turning temperature readings into a weather forecast provides meaningful data.

Knowledge: Knowledge can be gained from information through analysis, interpretation and the application of insights. It involves understanding relationships, patterns and implications in information to answer how and why questions. For instance, understanding historic weather patterns and climate science allows us to predict its effects in real-time.

Wisdom: Wisdom is the crown jewel in the DIKW model. It extends beyond knowledge, applying that understanding with deep comprehension, ethics and good judgement to make informed decisions and solve complex problems effectively. Wisdom also encompasses being able to see the big picture as well as consider long-term effects of actions taken.

 

Data Science Class 9 Questions and Answer

6) Why should you keep a data recovery plan?

Maintaining a data recovery plan is critical for multiple reasons, including mitigating its impact and recovering lost data efficiently. A data recovery plan serves as an important guideline and procedure to recover lost information more quickly, helping mitigate its damaging effects.

Business Continuity: For businesses, data is often their lifeblood. With an effective data recovery plan in place, critical files can be restored quickly in case of data loss to resume normal operations and minimize downtime, helping maintain business continuity while decreasing productivity and revenue losses.

Compliance and Legal Requirements: Many industries impose regulations regarding data management, protection, and recovery that organizations must follow to avoid legal complications and penalties. A data recovery plan helps organizations demonstrate this compliance by outlining all necessary steps for backup, retention, and recovery.

Protecting Valuable Information: Data recovery plans provide vital protection for valuable assets like intellectual property, customer data, financial records and sensitive documents that are integral to business operation and success. A recovery plan ensures critical data is safeguarded regularly with backup copies stored offsite in case of accidental deletion, hardware failure or cybersecurity incidents that might compromise it.

Minimizing Downtime: Data loss can cause considerable downtime for businesses as they attempt to recover lost data and restore systems, potentially leading to lost productivity, missed deadlines and dissatisfied customers. A data recovery plan helps streamline this process in an expedient way and help businesses return quickly back onto their trajectory.

Peace of Mind: Knowing there is an established data recovery plan provides peace of mind. Knowing there are procedures in place should any information become lost, can provide assurance and reduce anxiety while freeing individuals and organizations to focus on core activities more freely.

Data Science Class 9 Questions and Answer

7) How do online streaming platforms use data?

Online streaming platforms utilize data in different ways to enhance user experiences and personalize content for better viewing experiences. Here are a few examples.

Personalized Recommendations: Streaming platforms use data about what you have watched or rated to make personalized suggestions tailored specifically to you and your preferences. They analyze this data so they can offer content tailored specifically to you.

Content Selection: Streaming platforms look at data regarding what content users are watching and which genres are trending, in order to select movies or shows to add to their collection or produce in these niche genres. They use this knowledge when selecting movies or shows for addition or production of new material in these genres.

Enhancing User Experience: Platforms collect user data about how users navigate the website or app, search for content, interact with features, and interact with various features. They use this data to make their services simpler for visitors to use and more user-friendly.

Targeted Advertising: Based on your data, streaming platforms may show ads more tailored to your interests; for instance, if you watch a lot of cooking shows, these could include ads for kitchen appliances or recipe books.

Understanding Viewer Preferences: Platforms analyze viewer behavior data such as which shows or episodes are most watched, what parts are watched again, and which shows have high viewer retention to gain an insight into what viewers like and guide decisions regarding future content creation. This helps platforms better understand the needs and preferences of their target audiences and make better content decisions in response.

 

Data Science Class 9 Questions and Answer

8) What is personal data, and how can you keep your data safe online?

Strong and Unique Passwords: Whenever creating online accounts, use strong passwords with complex structures for each one. Avoid using similar passwords over and over.

Enable Two-Factor Authentication (2FA) whenever possible to add another layer of security requiring two verification steps (for example a code sent directly to your phone), in addition to password authentication.

Limit Personal Information Sharing: Be wary when sharing personal information online, especially public platforms. Only disclose sensitive details like full address, phone number and financial details as necessary.

Keep Software Updated: Make a habit of updating all devices, operating systems, and software with the most up-to-date security patches for maximum protection against vulnerabilities. Updates often provide bug fixes and security enhancements to address vulnerabilities.

Install Security Software: Use antivirus and anti malware software on all of your devices to detect and protect against potential threats such as malicious software or viruses. These tools will detect any possible harmful programs.

Back Up Data Regularly: Make a point to back up all important files regularly onto an external hard drive, cloud storage service or another secure location – this way if any are lost or compromised they can still be recovered from.

 

Data Science Class 9 Questions and Answer

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