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  1. 1
    Product Detailed Demo (including CRUD, user dashboard, summary and APIs implemented)
    Times asked 1
    Official solution

    SimpleCRUD = Create Read Update Delete. Admin pe ek resource ke 4 ops dikhao.

  2. 2
    ORM, db models used and relationship between them
    Times asked 1
    Official solution

    Simpledb.relationship se object graph: lot.spots, booking.user. backref reverse side auto deta hai.

    Example

    spots = db.relationship('Spot', backref='lot', cascade='all, delete-orphan')
  3. 3
    backref and backpopulates
    Times asked 1
    Official solution

    Simplebackref reverse attribute auto banata hai. back_populates dono sides explicitly naam dete ho — clearer.

    Example

    # backref
    spots = db.relationship('Spot', backref='lot')
    # spot.lot available
    
    # back_populates
    spots = db.relationship('Spot', back_populates='lot')
    # Spot.lot = db.relationship('Lot', back_populates='spots')
  4. 4
    MVC architecture. Any other architectures you know of
    Times asked 1
    Official solution

    SimpleMAD1 typical: Browser → Flask routes → validate/auth → SQLAlchemy → SQLite → Jinja response.

    Suggested flowRequest → Route → Auth check → DB → render_template / redirect

  5. 5
    Proctor was friendly. Lasted about 55 minutes
    Times asked 1
    Official solution

    SimpleViva wrap-up hai. Short thanks + confirm submission ZIP latest hai.

  1. 1
    Demo of the complete project (including CRUD operations, User Dashboard, Summary, and implemented APIs).
    Times asked 1
    Official solution

    SimpleCRUD = Create, Read, Update, Delete — kisi bhi resource ke 4 basic operations.

    Create: POST, db.session.add(new_user); commit() — register, add trek.
    Read: GET, User.query.all() — dashboard list.
    Update: POST/PUT, user.name = 'Ram'; commit() — edit profile.

    DeletePOST/DELETE, db.session.delete(obj); commit().

    REST mapping: POST create, GET read, PUT/PATCH update, DELETE delete.
    Admin panel mein yeh 4 dikhana viva demo ka common task hai.


    SimpleDemo script pehle se practice karo, 5-7 minute, saari roles.

    Suggested flow

    1) Register/login user 2) Admin login — CRUD 3) Approval/blacklist 4) Booking/apply 5) Search 6) Validation edge (slots 0, duplicate) 7) Logout
    Bolte-bolte dikhao: 'Yahan overbooking rokta hoon'. Code tab kholna jab poochhein.
    Crash ho to debug calmly: terminal error, typo, DB path.
    Mandatory features skip mat karna — examiner list tick karta hai.

  2. 2
    Walk through the Create and Update code for Categories and Products.
    Times asked 1
    Official solution

    SimpleDemo script pehle se practice karo, 5-7 minute, saari roles.

    Suggested flow

    1) Register/login user 2) Admin login — CRUD 3) Approval/blacklist 4) Booking/apply 5) Search 6) Validation edge (slots 0, duplicate) 7) Logout
    Bolte-bolte dikhao: 'Yahan overbooking rokta hoon'. Code tab kholna jab poochhein.
    Crash ho to debug calmly: terminal error, typo, DB path.
    Mandatory features skip mat karna — examiner list tick karta hai.

  3. 3
    Explain the logic behind the Create and Update implementation.
    Times asked 1
    Official solution

    Yeh project-specific feature add/modify hai. 4 layers touch karo: model, route, template, validation.

    1) Data chahiye to models.py mein column/relationship + DB update (ALTER / migrate / create_all).
    2) Route: GET pe form/page, POST pe request.form se save, flash + redirect.
    3) Template: input name=... Jinja se {{ obj.field }} display.
    4) Rule: duplicate, range, role check backend pe.

    Example naya field 'city':

    user.city = db.Column(db.String(50))
    user.city = request.form.get('city')
    <input name='city'>  ...  {{ user.city }}
  4. 4
    What is ORM?
    Times asked 49
    Official solution

    SimpleORM = Object Relational Mapping. Database tables ko Python classes/objects se map karta hai, raw SQL kam likhni padti hai.

    Bina ORM: cursor.execute('SELECT * FROM user WHERE id=?', [5])
    ORM se: User.query.get(5) ya db.session.get(User, 5)

    Example model

    class User(db.Model):
        id = db.Column(db.Integer, primary_key=True)
        email = db.Column(db.String(120), unique=True)

    FaydePython mein soch sakte ho, SQL injection se protection (parameterized), relationships easy, DB switch thoda aasan.

    Nuksaancomplex queries slow/abstract, seekhne ki layer extra, kabhi raw SQL phir bhi chahiye.

    MAD1: SQLAlchemy (Flask-SQLAlchemy). Tables db.create_all() ya migrations se banti hain.

  5. 5
    Explain your database models.
    Times asked 8
    Official solution

    Simplemodels.py har table ki class hai — columns, PK/FK, relationships. Yeh Model layer hai.

    Viva mein file khol ke bolo:
    1) Kaunsi classes/tables hain (User, Role-specific, Booking...)
    2) Har table ka kaam 1 line
    3) Relationships: 1-1 / 1-M / M-M, backref, cascade, lazy
    4) Constraints: unique email, nullable, default status

    Example skeleton

    class User(db.Model):
        id = db.Column(db.Integer, primary_key=True)
        email = db.Column(db.String(120), unique=True, nullable=False)
        role = db.Column(db.String(20), default='user')
        bookings = db.relationship('Booking', backref='user', cascade='all, delete-orphan')

    ER diagram: rectangles entities, lines relationships, PK/FK mark. Schema = yahi structure.
    Tables create: db.create_all() ya migrations. SQLite file SQL viewer se dikha sakte ho.

  6. 6
    Explain the relationships between your database models.
    Times asked 1
    Official solution

    SimpleRelationships tables ko jodti hain taaki related data object se mil jaaye.

    One-to-Many: User → kai Posts. posts = relationship('Post', backref='author'). FK post.user_id.
    One-to-One: User → Profile. uselist=False + unique FK. Profile.user_id unique.
    Many-to-Many: Student ↔ Drive. Junction/secondary table (student_id, drive_id).

    Example 1-1:

    class Profile(db.Model):
        user_id = db.Column(db.Integer, db.ForeignKey('user.id'), unique=True)
        user = db.relationship('User', back_populates='profile', uselist=False)

    1-M ko 1-1: child FK pe unique=True + uselist=False.
    Parent-child: parent PK, child FK. Junction table extra columns bhi rakh sakti hai (applied_on).

  7. 7
    What is backref?
    Times asked 12
    Official solution

    Simplebackref relationship ki reverse side automatically bana deta hai.

    class Post(db.Model):
        user_id = db.Column(db.Integer, db.ForeignKey('user.id'))
        user = db.relationship('User', backref='posts')

    Ab post.user milta hai, aur user.posts bhi — Post model pe sirf ek line.
    secondary Many-to-Many junction table ke liye: relationship(..., secondary=likes_table, backref='liked_by').
    Explicit chahiye to back_populates use karo.

  8. 8
    What is back_populates?
    Times asked 3
    Official solution

    Simpleback_populates dono models pe relationship explicitly link karta hai.

    class User(db.Model):
        posts = db.relationship('Post', back_populates='author')
    class Post(db.Model):
        author = db.relationship('User', back_populates='posts')

    Naam match hona chahiye. Readability better, circular confusion kam. backref ka alternative yahi hai.

  9. 9
    What is the difference between backref and back_populates?
    Times asked 1
    Official solution

    Simpledono SQLAlchemy relationships ko do taraf se connect karte hain, farq sirf likhne ke style ka hai.

    backref: relationship ek side pe likhte ho, doosri side SQLAlchemy khud bana deta hai. Short hai, lekin dono models dekh ke relationship clearly nahi dikhti.

    back_populates: dono models pe relationship explicitly likhte ho. Code padhne wale ko turant samajh aa jaata hai ki User.posts aur Post.author linked hain.

    Example

    class User(db.Model):
        posts = db.relationship('Post', backref='author')

    Yahan Post.author automatically mil jaata hai.

    Explicit version:

    class User(db.Model):
        posts = db.relationship('Post', back_populates='author')
    class Post(db.Model):
        author = db.relationship('User', back_populates='posts')

    Viva tipexaminer ko bolo — MAD1 project mein back_populates zyada clear hai, isliye preferred.

  10. 10
    Have you implemented Template Inheritance? Explain.
    Times asked 1
    Official solution

    Simpleextends poora layout inherit karta hai, include chhota piece insert karta hai.

    extends: child page base.html ka structure use karti hai, blocks override karti hai. Ek hi parent.
    include: navbar.html / footer.html jahan chaho insert. Kai baar use ho sakta hai.

    base.html:

    {% block content %}{% endblock %}
    
    home.html:
    {% extends 'base.html' %}
    {% block content %}<h1>Home</h1>{% endblock %}
    
    {% include 'navbar.html' %}  → navbar har page pe

    Fayda: header/footer ek jagah, change once — saari pages update. MAD1 mein almost har project use karta hai.

  11. 11
    Have you implemented Role-Based Access Control (RBAC)? Explain how.
    Times asked 1
    Official solution

    SimpleRBAC = Role-Based Access Control — permission role se (admin/staff/user), har user pe alag nahi.

    user.role = 'admin'
    if current_user.role != 'admin': abort(403)

    Same login page, role ke hisaab dashboard. Multiple roles: roles table Many-to-Many, ya comma field (behtar normalized table).
    Unapproved staff: is_approved flag, login pe check.
    Flask-Security/UserMixin is_authenticated, is_active, get_id dete hain.

  12. 12
    What architecture are you using? Explain MVC.
    Times asked 1
    Official solution

    SimpleMVC = Model-View-Controller. Code ko 3 hisson mein baant ta hai taaki mix na ho.

    Model: data + DB. models.py — User, Trek, Booking classes.
    View: jo user dekhta hai. templates/*.html + Jinja.
    Controller: beech ka logic. routes / app.py — request lo, model se data, view ko do.

    Example flow (register):
    Browser form POST → Controller register() → User model save → redirect → View dashboard.html

    Draw: Browser → Controller → Model → DB, phir Controller → View → Browser.
    ORM na ho to bhi MVC ho sakta hai — Model raw SQL functions ho sakte hain. Structure matter karta hai, library nahi.
    MVP/MVVM doosri architectures hain; MAD1 mein MVC expected hai.

  13. 13
    What other software architectures do you know besides MVC?
    Times asked 1
    Official solution

    SimpleMVC = Model-View-Controller. Code ko 3 hisson mein baant ta hai taaki mix na ho.

    Model: data + DB. models.py — User, Trek, Booking classes.
    View: jo user dekhta hai. templates/*.html + Jinja.
    Controller: beech ka logic. routes / app.py — request lo, model se data, view ko do.

    Example flow (register):
    Browser form POST → Controller register() → User model save → redirect → View dashboard.html

    Draw: Browser → Controller → Model → DB, phir Controller → View → Browser.
    ORM na ho to bhi MVC ho sakta hai — Model raw SQL functions ho sakte hain. Structure matter karta hai, library nahi.
    MVP/MVVM doosri architectures hain; MAD1 mein MVC expected hai.

  14. 14
    What is Vertical Scaling?
    Times asked 1
    Official solution

    Definition style question: 1 line simple Hinglish + project example + mini code.

    Template'X ka kaam Y hai. Mere project mein Z jagah use hua.'

    Example'Session login state rakhta hai. session[user_id]=u.id login pe, logout pe session.clear().'

    Agar topic Vue/Celery/Redis ho aur project mein nahi hai to sach bolo, theory example do.

  15. 15
    What is Horizontal Scaling?
    Times asked 1
    Official solution

    Definition style question: 1 line simple Hinglish + project example + mini code.

    Template'X ka kaam Y hai. Mere project mein Z jagah use hua.'

    Example'Session login state rakhta hai. session[user_id]=u.id login pe, logout pe session.clear().'

    Agar topic Vue/Celery/Redis ho aur project mein nahi hai to sach bolo, theory example do.

  16. 16
    What is the difference between Horizontal and Vertical Scaling?
    Times asked 1
    Official solution

    SimpleVertical = same machine ko powerful banao. Horizontal = aur machines add karo.

    Vertical (scale up): RAM/CPU badhao. Simple, lekin ek limit hai, downtime ho sakta hai, single point of failure.
    Horizontal (scale out): 5 servers + load balancer. Sasta long-term, fault tolerant, lekin session/DB sharing sochna padta hai.

    Example10k users aaye to Flask app ke 4 copies chalao nginx peeche, DB alag machine pe.

    Thousands of requests on one machine: caching (Redis), DB indexes, gunicorn workers, phir horizontal.

  17. 17
    How did you implement Authentication in your project?
    Times asked 1
    Official solution

    SimpleLogin GET form dikhata hai, POST credentials check karke session set karta hai.

    @app.route('/login', methods=['GET','POST'])
    def login():
        if request.method == 'POST':
            u = User.query.filter_by(email=request.form.get('email')).first()
            if u and check_password_hash(u.password, request.form.get('password')):
                if getattr(u, 'blacklisted', False):
                    flash('Blocked'); return redirect(url_for('login'))
                session['user_id'] = u.id
                session['role'] = u.role
                return redirect(url_for('dashboard'))
            flash('Invalid')
        return render_template('login.html')

    Logout: session.clear(); redirect login. Incognito alag cookie jar — logged out dikhega.
    Single login page: role se redirect alag dashboards.

  18. 18
    Explain Algorithmic Complexity.
    Times asked 1
    Official solution

    SimpleTime complexity input size ke saath time kaise badhta hai.

    O(1): dict lookup. O(n): list mein loop. O(n^2): nested loops.

    Example

    User.query.all() phir Python mein filter = O(n). DB pe indexed WHERE tez.

    Search suggestions: prefix index / ILIKE, nai to har keypress pe poori table mat ghumao.

  19. 19
    What does O(n) time complexity mean? Give an example.
    Times asked 1
    Official solution

    SimpleTime complexity input size ke saath time kaise badhta hai.

    O(1): dict lookup. O(n): list mein loop. O(n^2): nested loops.

    Example

    User.query.all() phir Python mein filter = O(n). DB pe indexed WHERE tez.

    Search suggestions: prefix index / ILIKE, nai to har keypress pe poori table mat ghumao.

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