Sign Up

Have an account?

Sign In

Don't have account,

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.


Have an account?

Sorry, you do not have permission to ask a question, You must login to ask a question.

Need An Account,

Please briefly explain why you feel this question should be reported.

Please briefly explain why you feel this answer should be reported.

Please briefly explain why you feel this user should be reported.

Search
Ask A Question

IT & Computers

Share
Followers
2k Answers
1k Questions
Home/Applications & Awareness in Technology/IT & Computers/Page 4

Mains Answer Writing Latest Questions

Jai Agarwal
  • 0
Jai AgarwalLearner
Asked: August 17, 2024In:
  • 0

शिक्षा में कृत्रिम बुद्धिमत्ता (AI) के अनुप्रयोग में पारंपरिक शिक्षण विधियों में क्रांति लाने और छात्रों के लर्निंग आउटकम्स में सुधार करने की क्षमता है। चर्चा कीजिए। (250 शब्दों में उत्तर दीजिए)

upsc: it & computers
  1. Dhairya Jain
    Dhairya Jain Begginer

    शिक्षा में कृत्रिम बुद्धिमत्ता (AI) के अनुप्रयोग पारंपरिक शिक्षण विधियों में क्रांति लाने और छात्रों के लर्निंग आउटकम्स को सुधारने में महत्वपूर्ण भूमिका निभा सकते हैं। AI तकनीकें शिक्षा के क्षेत्र में निम्नलिखित तरीकों से प्रभावी सुधार ला सकती हैं: व्यक्तिगत शिक्षा: AI आधारित टूल्स और प्लेटफॉर्म्स छRead more

    शिक्षा में कृत्रिम बुद्धिमत्ता (AI) के अनुप्रयोग पारंपरिक शिक्षण विधियों में क्रांति लाने और छात्रों के लर्निंग आउटकम्स को सुधारने में महत्वपूर्ण भूमिका निभा सकते हैं। AI तकनीकें शिक्षा के क्षेत्र में निम्नलिखित तरीकों से प्रभावी सुधार ला सकती हैं:

    1. व्यक्तिगत शिक्षा: AI आधारित टूल्स और प्लेटफॉर्म्स छात्रों की व्यक्तिगत सीखने की जरूरतों और प्रगति को समझने के लिए डेटा एनालिटिक्स का उपयोग करते हैं। इससे छात्रों को उनकी क्षमताओं और आवश्यकताओं के आधार पर कस्टमाइज्ड लर्निंग पथ और सामग्री प्राप्त होती है, जो उनके लिए अधिक प्रभावी हो सकता है।
    2. स्मार्ट ट्यूटरिंग: AI चैटबॉट्स और वर्चुअल असिस्टेंट्स छात्रों को 24/7 सहायता प्रदान करते हैं, जिससे वे किसी भी समय सवाल पूछ सकते हैं और फीडबैक प्राप्त कर सकते हैं। यह व्यक्तिगत शिक्षण अनुभव को बढ़ावा देता है और पारंपरिक कक्षा समय की सीमाओं को पार करता है।
    3. आवश्यकता आधारित इंटरवेंशन: AI सिस्टम डेटा का विश्लेषण करके छात्रों की कमजोरियों की पहचान कर सकते हैं और समय पर इंटरवेंशन की सिफारिश कर सकते हैं। इससे जल्दी और सटीक मदद मिलती है, जो छात्रों की अकादमिक प्रदर्शन में सुधार कर सकती है।
    4. शिक्षा की गुणवत्ता में सुधार: AI के माध्यम से विवरणात्मक और इंटरैक्टिव सामग्री को तैयार किया जा सकता है, जैसे कि वर्चुअल रियालिटी (VR) और ऑगमेंटेड रियालिटी (AR) के अनुभव, जो छात्रों को जटिल अवधारणाओं को समझने में मदद कर सकते हैं और उन्हें अधिक आकर्षक अनुभव प्रदान कर सकते हैं।

    चिंताएँ और चुनौतियाँ:

    1. गोपनीयता और डेटा सुरक्षा: AI के लिए बड़ी मात्रा में व्यक्तिगत डेटा की आवश्यकता होती है, जो गोपनीयता और सुरक्षा के मुद्दे पैदा कर सकता है।
    2. आकर्षक सामग्री का निर्माण: AI सामग्री को उच्च गुणवत्ता और सूचनात्मक रूप से समृद्ध बनाने के लिए आवश्यक मानकों को बनाए रखना चुनौतीपूर्ण हो सकता है।
    3. शिक्षक की भूमिका: AI का उपयोग शिक्षकों की भूमिका को बदल सकता है, जिससे यह सुनिश्चित करना महत्वपूर्ण है कि वे तकनीकी बदलावों के साथ-साथ छात्रों के साथ संवेदी और मानवकेंद्रित दृष्टिकोण को बनाए रखें।

    इन लाभों और चुनौतियों के बीच संतुलन बनाए रखते हुए, AI शिक्षा में एक महत्वपूर्ण सुधारक साबित हो सकता है, जो छात्रों के लर्निंग आउटकम्स को बेहतर बनाने में सक्षम है।

    See less
Dhruv Kapoor
  • 0
Dhruv KapoorLearner
Asked: August 17, 2024In:
  • 0

Al चैटबॉट्स के संबंध में हाल के घटनाक्रमों का विवरण प्रदान कीजिए। साथ ही, उनसे जुड़े संभावित लाभों और चिंताओं पर भी चर्चा कीजिए। (250 शब्दों में उत्तर दीजिए)

upsc: it & computers
  1. Dhairya Jain
    Dhairya Jain Begginer

    AI चैटबॉट्स के संबंध में हाल के घटनाक्रमों ने तकनीकी प्रगति और उनके अनुप्रयोग के क्षेत्रों में महत्वपूर्ण बदलाव लाए हैं। 2024 में, चैटबॉट्स ने भाषाई मॉडल (जैसे GPT-4 और GPT-5) के विकास के साथ अधिक परिष्कृत और समझदार बातचीत क्षमताएँ प्राप्त की हैं। नवीनतम चैटबॉट्स अब आर्टिफिशियल जनरल इंटेलिजेंस (AGI)Read more

    AI चैटबॉट्स के संबंध में हाल के घटनाक्रमों ने तकनीकी प्रगति और उनके अनुप्रयोग के क्षेत्रों में महत्वपूर्ण बदलाव लाए हैं। 2024 में, चैटबॉट्स ने भाषाई मॉडल (जैसे GPT-4 और GPT-5) के विकास के साथ अधिक परिष्कृत और समझदार बातचीत क्षमताएँ प्राप्त की हैं। नवीनतम चैटबॉट्स अब आर्टिफिशियल जनरल इंटेलिजेंस (AGI) की दिशा में अग्रसर हैं, जो उन्हें अधिक जटिल और मानव-समान संवादों की अनुमति देता है।

    संभावित लाभ:

    1. उच्चतम ग्राहक सेवा: चैटबॉट्स 24/7 ग्राहक सहायता प्रदान करते हैं, जिससे तुरंत और सटीक उत्तर मिलते हैं। यह व्यापारों को खर्च कम करने और ग्राहक संतोष बढ़ाने में मदद करता है।
    2. व्यक्तिगत अनुभव: उन्नत चैटबॉट्स उपयोगकर्ता की प्राथमिकताओं और पिछले इंटरैक्शन के आधार पर व्यक्तिगत सुझाव और सेवाएं प्रदान कर सकते हैं।
    3. ऑटोमेशन और उत्पादकता: रूटीन कार्यों और डेटा प्रोसेसिंग को ऑटोमेट करके चैटबॉट्स कार्यक्षमता में सुधार करते हैं और मानवीय संसाधनों को अधिक महत्वपूर्ण कार्यों पर केंद्रित कर सकते हैं।

    चिंताएँ:

    1. गोपनीयता और सुरक्षा: चैटबॉट्स द्वारा संग्रहित व्यक्तिगत और संवेदनशील डेटा की सुरक्षा एक महत्वपूर्ण चिंता है। डेटा उल्लंघन और अनधिकृत पहुंच संभावित जोखिम हैं।
    2. भ्रामक जानकारी: कभी-कभी, चैटबॉट्स गलत या भ्रामक जानकारी प्रदान कर सकते हैं, जो उपयोगकर्ता को गलत मार्गदर्शन कर सकता है।
    3. मानव-चैटबॉट इंटरैक्शन: अत्यधिक स्वचालन से मानवीय छवि और कस्टमर इंटरैक्शन की गुणवत्ता प्रभावित हो सकती है, जिससे कुछ उपयोगकर्ता मानव समर्थन की कमी महसूस कर सकते हैं।

    इन लाभों और चिंताओं के बीच संतुलन बनाना आवश्यक है ताकि चैटबॉट्स के प्रभावी उपयोग को सुनिश्चित किया जा सके, साथ ही डेटा सुरक्षा और विश्वसनीयता को भी बनाए रखा जा सके।

    See less
Kusum Garg
  • 0
Kusum GargBegginer
Asked: August 15, 2024In:
  • 0

how the binary number is stored in the memory .   

  1. Arpan Gohatre
    Arpan Gohatre Begginer

    Binary numbers are stored in memory as sequences of bits, where each bit represents a power of 2, starting from the least significant bit (LSB) on the right to the most significant bit (MSB) on the left. Memory in a computer is organized into units called "words," which could be 8 bits (1 byte), 16Read more

    Binary numbers are stored in memory as sequences of bits, where each bit represents a power of 2, starting from the least significant bit (LSB) on the right to the most significant bit (MSB) on the left. Memory in a computer is organized into units called “words,” which could be 8 bits (1 byte), 16 bits, 32 bits, or 64 bits, depending on the architecture.

     

    1.Representation: The binary number is converted into a format that fits into the memory’s word size. For example, if the architecture is 32-bit, a binary number must fit within 32 bits.

    2.Addressing: Each word in memory has a unique address. The binary number is stored at a specific memory address, and this address is used by the CPU to access the stored value.

    3.Endianness: The way binary numbers are stored in memory can vary depending on the system’s endianness:

    Big-endian:The MSB is stored at the lowest memory address.

    Little-endian: The LSB is stored at the lowest memory address.This ordering affects how multi-byte binary numbers are interpreted and retrieved.

    4.Padding and Alignment: For efficiency, memory systems often align binary numbers to specific boundaries (e.g., 4-byte boundaries). If a binary number does not perfectly fit into the word size, it may be padded with zeros to fill the entire word.

    5.Two’s Complement for Negative Numbers: If the binary number represents a signed integer, it is stored using two’s complement notation, where the MSB is the sign bit. A ‘0’ in the MSB indicates a positive number, while a ‘1’ indicates a negative number. This allows for efficient arithmetic operations directly on the stored binary values.

     

    6.Data Types and Storage: Depending on the data type (integer, floating-point, character, etc.), the binary number is stored differently. For instance, floating-point numbers follow the IEEE 754 standard, where the binary sequence is divided into sign, exponent, and mantissa bits.

    Thus, binary numbers are stored in memory not just as straightforward sequences of bits but with various considerations for efficiency, alignment, and even compression, making the process more sophisticated than it appears at first glance.

     

    See less
Nimrat Kaur
  • 0
Nimrat KaurBegginer
Asked: August 14, 2024In:
  • 0

question
  1. Surya Prakash S
    Surya Prakash S Begginer

    There are Five Generations of computers i.e 1. First Generation- Vaccum Tube Based Computers- (1940-1950) 2. Second Generation- Transistor Based Computers- (1950-1960) 3. Third Generation- Integrated circuit Based Computers- (1960-1970) 4. Fourth Generation- Microprocessor Based Computers- (1970s-CuRead more

    There are Five Generations of computers i.e

    1. First Generation- Vaccum Tube Based Computers- (1940-1950)

    2. Second Generation- Transistor Based Computers- (1950-1960)

    3. Third Generation- Integrated circuit Based Computers- (1960-1970)

    4. Fourth Generation- Microprocessor Based Computers- (1970s-Currently in market)

    5. Fifth Generation- Artificial Intelligence Based Computers- (Present)

     

     

     

     

    See less
Shanthini parthiban
  • 0
Shanthini parthibanBegginer
Asked: August 13, 2024In: , ,
  • 0

show a simple route map for an cyber security engineering student who is yet to learn any skills.
  1. Guru
    Guru Enthusiast

    Here's a roadmap for a cybersecurity student: Phase 1: Building Foundations (3-6 months) 1. Learn the basics of computer systems and networks: - Understand how computers work, including hardware and software components. - Study networking fundamentals, including protocols, devices, and architecturesRead more

    Here’s a roadmap for a cybersecurity student:

    Phase 1: Building Foundations (3-6 months)

    1. Learn the basics of computer systems and networks:
    – Understand how computers work, including hardware and software components.
    – Study networking fundamentals, including protocols, devices, and architectures.
    2. Get familiar with operating systems:
    – Learn about Windows, Linux, and macOS.
    – Understand file systems, user management, and process management.
    3. Programming skills:
    – Start with Python, C++, or Java.
    – Learn basic programming concepts, data structures, and algorithms.
    4. Online courses and resources:
    – CompTIA Security+ or A+ certification courses.
    – Online platforms like Udemy, Coursera, and edX.

    Phase 2: Cybersecurity Fundamentals (6-12 months)

    1. Cybersecurity basics:
    – Learn about security threats, vulnerabilities, and risk management.
    – Understand security controls, including firewalls, intrusion detection systems, and encryption.
    2. Online courses and resources:
    – CompTIA Security+ or CISSP certification courses.
    – Online platforms like Cybrary, HackerU, and SANS Cyber Aces.

    Phase 3: Specialized Knowledge (1-2 years)

    1. Choose a specialization:
    – Incident response and threat hunting.
    – Cloud security and DevOps.
    – Artificial intelligence and machine learning in cybersecurity.
    2. Advanced network security:
    – Study advanced network protocols, including IPv6, MPLS, and SDN.
    – Learn about network architecture, including design and implementation.
    3. Operating system security:
    – Learn about Windows, Linux, and macOS security features.
    – Understand how to harden operating systems and configure security settings.

    Phase 4: Practical Experience (1-2 years)

    1. Set up a home lab:
    – Create a test environment (use virtual machine) to practice what you’ve learned.
    2. Participate in bug bounty programs:
    – Join platforms like HackerOne, Bugcrowd, or Synack.
    3. Pursue internships or entry-level positions:
    – Apply for internships or entry-level positions in cybersecurity.
    – Gain hands-on experience and build your professional network.

    Phase 5: Continuous Learning (Ongoing)

    After gaining knowledge and experience be up to date with the upcoming technologies and be ready to learn new things.

    Remember, this roadmap is just a starting point. Stay flexible, and adjust your path as you progress in your cybersecurity journey.

    See less
Sudarshan R Srinivas
  • 0
Sudarshan R SrinivasBegginer
Asked: August 12, 2024In:
  • 0

Analyze the role of continuous skill development in the IT industry. How do emerging technologies like artificial intelligence and cloud computing influence employment trends, and what strategies can professionals adopt to stay relevant in this rapidly evolving field?

  1. Surya Prakash S
    Surya Prakash S Begginer

    In IT software sector skill development is play crucial role all the developers,testers,customer support,data entry operator,business management,human resource all the department works should be need upskilling yourself. In a corporate world upskill is key mantra for every employee. At the end of daRead more

    In IT software sector skill development is play crucial role all the developers,testers,customer support,data entry operator,business management,human resource all the department works should be need upskilling yourself. In a corporate world upskill is key mantra for every employee. At the end of day is merely based on your performance that your are surviving in that company or not.

    Most companies give their employees with mandatory coaching skill and they also provide online courses in trending technologies like Udemy, Course-era, Great Learning these are platforms provide paid online courses.

    In the IT sector competitive performance play major role for earn knowledge and work in the team , so we can gain more knowledge and get more success in individual career.

    See less
Anonymous
  • 0
Anonymous
Asked: August 12, 2024In: ,
  • 0

What is the impact of skill development programs on employment opportunities in emerging industries. How can these programs be tailored to meet the evolving demands of the job market?

  1. Umang Singh Yadav
    Umang Singh Yadav Expert

    Skill development programs teach people new skills, helping them get better jobs or start businesses. They focus on industry specific training, life skills and digital knowledge to boost employability. Impacts of skill development programs on employment opportunities -  Enhance employability, boostiRead more

    Skill development programs teach people new skills, helping them get better jobs or start businesses. They focus on industry specific training, life skills and digital knowledge to boost employability.

    Impacts of skill development programs on employment opportunities – 

    1. Enhance employability, boosting job prospects and career advancement opportunities significantly nationwide instantly.
    2. Bridge skill gaps by addressing industry shortages and meeting employer demands effectively nationwide.
    3. Boost workforce productivity, enhancing efficiency, quality and organizational performance significantly every time.
    4. Fuel economic growth by stimulating entrepreneurship, innovation and competitiveness, creating new job opportunities.
    5. Promote social inclusivity by empowering marginalized groups, women and youth with equal opportunities.

     

    Programs to meet evolving demands of job creation – 

    1. Industry collaboration drives job creation, aligning skills training with employer needs, technology trends and innovation.
    2. Emerging tech focus in skill development programs equips workers with in demand skills in AI, blockchain, cybersecurity.
    3. Soft skills integration develops essential competencies like communication, teamwork and problem solving, enhancing employability and adaptability.
    4. Continuous upskilling and reskilling programs enable workers to adapt to changing job market demands seamlessly.
    5. Digital literacy training equips workers with essential online skills, enhancing employability in today’s tech driven workforce.
    6. Adaptive learning approaches provide personalized, flexible training, preparing workers for rapidly changing industry landscapes.
    7. Mentorship programs connect experienced professionals with newcomers, fostering guidance, networking and career advancement opportunities.
    8.  Data driven approaches optimize workforce development using analytics to identify skill gaps and forecast job trends.
    9. Regular evaluation and constructive feedback refine training programs ensuring relevance and effectiveness in job markets.
    10. Inclusive, accessible training programs reach diverse populations, removing barriers for underrepresented groups and disabilities.
    See less
Ishita
  • 0
IshitaBegginer
Asked: August 11, 2024In:
  • 0

Explain the different types of data input that are necessary in writing a code of Python.

codingcomputerdatadevelopmentitpythonweb
  1. Guru
    Guru Enthusiast

    A Data type is an attribute associated with a piece of data that tells a computer system how to interpret its value. There are many different type of Data types in Python but the major ones or the most essential ones are : String, represent by "str", which is used to store alphabets, Words, SentenceRead more

    A Data type is an attribute associated with a piece of data that tells a computer system how to interpret its value.

    There are many different type of Data types in Python but the major ones or the most essential ones are :

    1. String, represent by “str“, which is used to store alphabets, Words, Sentences.
    2. Integers, represent by “int“, used to store numbers.
    3. Boolean, short form by “bool“, which pass the given statement as “True” or “False” only.
    4. Float, which is much similar like integers, which stores the after decimal values.
    5. Array, which is a collection of data type in which we can store Words, numbers, Sentences etc… .

    There are many more other type of data types but are only subtypes of the given 5 major ones.

    See less
Ishita
  • 0
IshitaBegginer
Asked: August 11, 2024In:
  • 0

­If a person needs to find his or her career in cloud than what should be the to the point map to achieve the goal. What are the skills one needs to develop along with their studies in order to ...

cloud it computer web skill
  1. Guru
    Guru Enthusiast

    A cloud Engineer is an IT professional who is responsible for all the technological duties which are associated with cloud computing, such as maintenance, planning, support, design, and management. However, cloud engineer is a general term and they are further divided into: Cloud Software Engineer CRead more

    A cloud Engineer is an IT professional who is responsible for all the technological duties which are associated with cloud computing, such as maintenance, planning, support, design, and management. However, cloud engineer is a general term and they are further divided into:

    • Cloud Software Engineer
    • Cloud System Engineer
    • Cloud Network Engineer
    • Cloud Security Engineer
    • Cloud Architect

    Every position has a specific role to play in cloud computing and they’re hired by companies to look after deploying cloud services, understanding their cloud technologies, and scaling up their cloud resources.

    On that note skills required to become a Cloud Engineer is:

    1. Understanding the Linux OS :

    The first and foremost thing is to get good hands-on on a Linux Operating system, Practicing Linux would help you as a cloud engineer, or as a cloud architect, you should have this fundamental understanding of your operating system.

    2. Programming Skills

    Having good programming skills is an essence while learning cloud, few programming languages to be proficient for cloud works:

    i . ASP.NET

    ii . SQL

    iii . PYTHON

    iv . GOLANG

    v . PHP

    3. Networking and Internet Protocols

    Working knowledge about how the internet works and networking is extremely crucial to cloud roles since it is based on provisioning centralized computing resources over the cloud.

    4. DevOps and Containerization

    DevOps is a combination of development and operations and is one of the most popular frameworks in the cloud. now it is AWS DevOps

    5. Understanding Virtualization

    This means not depending upon personal individual hardware that faces problems when scaling but rather running application software on virtual machines.

    6. Knowledge of Cloud Service Providers

    There are many cloud service vendors that offer storage, database, compute machine learning, and migration services but AWS is the leader closely followed by Microsoft’s Azure.

    7. Security and Recovery

    Cloud security is one of the most difficult subdomains in the cloud since it involves critical measures to be taken when there is a data breach or disaster recovery.

    8. Web Services and API

    Cloud infrastructure is heavily based upon APIs ( application programming interface ) and web services for the integration of applications on the internet.

    9. Automation and Orchestration

    Cloud engineers need to be really good at using tools like Ansible, Terraform, or Chef. These tools help to automate tasks like setting up and managing servers in the cloud allowing the cloud engineers to manage infrastructure as code efficiently.

    10. Continuous Integration and Continuous Deployment (CI/CD)

    Cloud engineers must have the knowledge about CI/CD pipelines and practices for quick and dependable software delivery.

     

    There’s a big need for people who know about cloud computing, and it opens up a lot of job opportunities. To have a good career in cloud engineering, you need to understand the basics, keep up with new technology, and be good at things like using Linux, coding, networking, making things secure, and automating tasks. After learning these skills and getting a good hands-on experience with these technologies, you can give Various Cloud certification Exams which will help you in validating your acquired skillset and in turn help you get a well-paid job.

    See less
Ishita
  • 0
IshitaBegginer
Asked: August 11, 2024In:
  • 0

­If a person needs to find his or her career in cloud than what should be the to the point map to achieve the goal. What are the skills one needs to develop along with their studies in order to ...

cloud it computer web skill
  1. CHOWDA REDDY N BU21CSEN0102045
    CHOWDA REDDY N BU21CSEN0102045 Begginer

    To become a cloud engineer, start by building a strong foundation in computer science and IT, focusing on networking, operating systems, and programming. Understanding core concepts like virtualization and networking is essential. Proficiency in programming languages like Python, Java, or Go is impoRead more

    To become a cloud engineer, start by building a strong foundation in computer science and IT, focusing on networking, operating systems, and programming. Understanding core concepts like virtualization and networking is essential. Proficiency in programming languages like Python, Java, or Go is important for automation and cloud-native development.

    Next, gain expertise in cloud platforms such as AWS, Azure, or Google Cloud. Certification in these platforms can validate your skills and boost employability. Familiarize yourself with cloud services, architecture, and best practices for deployment and management.

    DevOps skills, including Continuous Integration/Continuous Deployment (CI/CD) and Infrastructure as Code (IaC) with tools like Terraform or Ansible, are critical for automation and efficient cloud management. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes is also valuable.

    Security in the cloud is a crucial area, so understanding cloud security principles and compliance is necessary. Additionally, developing problem-solving skills and the ability to work in agile environments will help you adapt to the dynamic nature of cloud engineering.

    By combining these technical skills with hands-on experience and continuous learning, you can map a successful career path as a cloud engineer.

    See less
Load More Questions

Resources & Suggestions

Mains Answer Writing Latest Articles

On: March 10, 2025

Daily Answer Writing Practice Questions (10 March 2025)

The National Rail Plan (NRP) for India – 2030 aims to develop a ‘future ready’ railway system by 2030. Discuss. (Answer in 200 words) भारत के लिए राष्ट्रीय रेल योजना (NRP)- 2030 का लक्ष्य वर्ष 2030 तक ‘भविष्य के लिए ...

On: March 8, 2025

Daily Answer Writing Practice Questions (8 March 2025)

Examine the key issues that obstruct the development of port infrastructure in India and outline the recent measures taken by the government to address these challenges. (Answer in 200 words) भारत में बंदरगाह अवसंरचना के विकास में आने वाली विभिन्न ...

On: March 7, 2025 Comments: 0

मानव-वन्यजीव संघर्ष का प्रबंधन

प्रधानमंत्री की घोषणा: मानव-वन्यजीव संघर्ष प्रबंधन के लिए एक समर्पित केंद्र की स्थापना। चुनौतियाँ: जनसंख्या वृद्धि और संसाधनों की प्रतिस्पर्धा। वन्यजीव संरक्षण का महत्व पारिस्थितिक संतुलन और जलवायु अनुकूलन: वन्यजीव पारिस्थितिकी तंत्र को बनाए रखने और जलवायु पैटर्न को विनियमित ...

Explore Our Blog