"Recalculating the route" of your life means viewing detours, mistakes, and unexpected changes as necessary redirections rather than failures. Similar to a GPS, life doesn't shame you for wrong turns but adjusts to find a new path forward. It is an opportunity to learn, grow, and embrace a better, more authentic journey.
GOALS Connecting People to Connecting Global
முனைவர்.இராம.ஞானக்குமரன் MCA.,M.Tech.,Ph.D.,MISTE., https://twitter.com/rgkumaran
Wednesday, April 8, 2026
Recalculating Life
"Recalculating the route" of your life means viewing detours, mistakes, and unexpected changes as necessary redirections rather than failures. Similar to a GPS, life doesn't shame you for wrong turns but adjusts to find a new path forward. It is an opportunity to learn, grow, and embrace a better, more authentic journey.
Wednesday, April 1, 2026
About Me ...
RGK CVBrief Introduction About You (Tell Me About Yourself)
You can present yourself like this:
“I am Dr. R. Gnanakumaran, currently working as an Assistant Professor in the Department of Computer Science at Annai Vailankanni Arts & Science College, Thanjavur. I completed my Ph.D. in Computer Science from Bharathidasan University, with research focused on computer networks, wireless networks, and energy-efficient protocols.
I have over 15 years of experience in both academia and industry, including my earlier role as a Software Test Engineer at COBS Technologies. My academic contributions include multiple international publications, IEEE papers, and patents in AI-based education and energy systems.
I am actively involved in institutional responsibilities such as ICT Academy coordination, examination committees, and research development activities.
My areas of interest include AI in education, network optimization, and emerging technologies like IoT and machine learning.”
🎯 Your Key Strengths (Highlight in Interview)
- 🎓 Ph.D. holder with strong research background
- 📚 10+ international publications (IEEE included)
- 💡 Patents in AI & energy systems
- 👨🏫 15+ years teaching + industry experience
-
🧠 Expertise in:
- Computer Networks
- Wireless Networks (Wi-Fi, WiMAX)
- AI & Machine Learning
- IoT
- 🏛 Active in academic committees & governance
🧭 Step-by-Step: How to Ask/Answer Questions in Interview
🔹 1. Before Answering
- Listen carefully 👂
- Pause 2–3 seconds
- Understand what exactly is asked
👉 Example:
If asked about AI, clarify if they want teaching / research / applications
🔹 2. Structure Your Answer (Very Important)
Use this simple structure:
✔ Point → Explanation → Example
👉 Example:
“In my research, I focused on energy-efficient routing protocols (Point). These protocols reduce power consumption in wireless networks (Explanation). For example, my work on AODV optimization improved network efficiency (Example).”
🔹 3. If You Want to Ask Questions (Very Powerful Move)**
Ask smart academic questions like:
- “What are the research expectations for this role?”
- “Are there opportunities for funded projects or collaborations?”
- “What teaching methodologies are preferred in your institution?”
- “Is there support for publishing in indexed journals?”
👉 This shows:
- Confidence 💪
- Research mindset 🧠
- Leadership quality
🔹 4. Handling Technical Questions
Use this method:
Concept → Application → Your Work
👉 Example:
“Machine learning models like GRU are used for sequential data (Concept). They are widely applied in healthcare diagnostics (Application). In my IEEE paper, I used GRU with optimization techniques for COVID-19 diagnosis (Your Work).”
🔹 5. If You Don’t Know an Answer
Never say “I don’t know” directly ❌
Say:
“I am not fully certain about that, but based on my understanding…”
OR
“I would approach it this way…”
👉 Shows thinking ability 👍
🔹 6. Body Language Tips
- Sit straight 🪑
- Maintain eye contact 👀
- Speak slowly and clearly 🗣
- Avoid rushing
🔹 7. Closing the Interview
End with:
“Thank you for the opportunity. I would be glad to contribute to both teaching and research activities in your institution.”
🚀 Bonus: Common Questions You Should Prepare
- Tell me about your research work
- Explain one of your IEEE papers
- How do you handle weak students?
- What teaching methods do you use?
- Future research plans?
- Why should we hire you?
If you want, I can also:
✅ Create mock interview questions with answers based on your CV
✅ Prepare HR + Technical Q&A script
✅ Help you with demo lecture preparation
Just tell me 👍
Great—let’s build a complete interview kit tailored to your CV. I’ll keep it practical, polished, and ready to use.
🎯 1. MOCK INTERVIEW QUESTIONS WITH ANSWERS (Based on Your Profile)
🔹 Q1: Tell me about your research work
Answer:
“My research primarily focuses on computer networks, especially energy-efficient routing in wireless and ad-hoc networks. During my Ph.D., I worked on optimizing AODV protocols to reduce power consumption. I have also extended my work into AI-based applications, including sentiment analysis and healthcare diagnosis using machine learning models like GRU. My recent work also explores Human-AI collaboration in education.”
🔹 Q2: Explain one of your IEEE papers
Answer:
“One of my IEEE papers focuses on sentiment analysis using Extreme Learning Machine. The goal was to improve classification accuracy while reducing training time. We applied optimized techniques to enhance performance compared to traditional models. This work is particularly useful in social media analytics and decision-making systems.”
🔹 Q3: What is AODV protocol?
Answer:
“AODV, or Ad Hoc On-Demand Distance Vector routing, is a reactive routing protocol used in mobile ad-hoc networks. It establishes routes only when needed, which reduces overhead. My research improved its energy efficiency by minimizing unnecessary transmissions and link failures.”
🔹 Q4: How do you integrate AI in teaching?
Answer:
“I use AI tools to personalize learning, automate assessments, and provide adaptive content. My patent on Human-AI collaboration focuses on integrating AI into EFL classrooms to improve student engagement and learning outcomes.”
🔹 Q5: What are your future research plans?
Answer:
“I plan to work on AI-driven network optimization, smart IoT systems, and interdisciplinary research combining education and artificial intelligence. I also aim to secure funded research projects and publish in high-impact journals.”
🔹 Q6: How do you handle weak students?
Answer:
“I identify their learning gaps through assessments and provide simplified explanations, practical examples, and mentoring. I also use blended learning techniques and digital tools to support them individually.”
🔹 Q7: Why should we hire you?
Answer:
“I bring a strong combination of teaching experience, research contributions, and administrative involvement. My ability to integrate emerging technologies like AI into both teaching and research makes me a valuable asset to the institution.”
🎯 2. HR + TECHNICAL Q&A SCRIPT
🔸 HR ROUND
Q: Strengths?
“Strong research orientation, effective teaching methodology, and commitment to continuous learning.”
Q: Weakness?
“I tend to focus deeply on research details, but I am improving my time management to balance multiple responsibilities.”
Q: Why do you want this job?
“I am looking for an environment that supports research, innovation, and quality teaching, where I can contribute meaningfully.”
🔸 TECHNICAL ROUND
Q: Difference between Wi-Fi and WiMAX
“Wi-Fi is used for short-range communication, while WiMAX provides long-range broadband access. WiMAX also supports better QoS and scalability.”
Q: What is Machine Learning?
“Machine learning is a subset of AI that enables systems to learn patterns from data and make predictions without explicit programming.”
Q: What is GRU?
“GRU, or Gated Recurrent Unit, is a type of recurrent neural network used for sequential data. It is simpler and faster than LSTM while maintaining performance.”
Q: What is IoT?
“IoT refers to interconnected devices that communicate and exchange data over the internet, enabling automation and smart systems.”
🎯 3. DEMO LECTURE PREPARATION (HIGH IMPACT)
🔥 Suggested Topic:
“Introduction to Machine Learning”
🧑🏫 Demo Lecture Structure (10–15 mins)
🔹 1. Introduction (2 mins)
“Machine Learning is a technique where machines learn from data instead of being explicitly programmed.”
🔹 2. Types of ML (3 mins)
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
👉 Example:
- Spam detection (Supervised)
- Customer segmentation (Unsupervised)
🔹 3. Real-Life Applications (3 mins)
- Healthcare diagnosis
- Recommendation systems
- Autonomous vehicles
🔹 4. Simple Example (3 mins)
“Predicting student performance based on previous marks”
🔹 5. Your Research Connection (2 mins)
“In my research, I used ML models like GRU for healthcare diagnosis and sentiment analysis.”
🔹 6. Conclusion (1 min)
“Machine learning is transforming every field, and understanding its basics is essential.”
🎤 Delivery Tips
- Ask 1–2 questions to audience
- Use board or slides
- Give real-life examples
- Keep it interactive
🚀 BONUS: SMART QUESTIONS YOU CAN ASK PANEL
- “What are the expectations for research publications?”
- “Are there interdisciplinary research opportunities?”
- “Does the institution support patents and funding proposals?”
If you want next level preparation, I can:
✅ Create PPT for your demo lecture
✅ Conduct a mock interview simulation with feedback
✅ Prepare subject-specific deep technical questions
Just tell me 👍
These are excellent, high-impact questions. But in an interview, how you ask matters just as much as what you ask. Here’s how to ask them professionally, along with when and why 👇
🎯 Polished Ways to Ask These Questions
🔹 1. About Research Publications
❌ Basic:
“What are the expectations for research publications?”
✅ Better Version:
“Could you please share the institution’s expectations regarding research publications, particularly in terms of indexed journals such as Scopus or SCI?”
💡 Why this works:
- Shows you understand quality publishing
- Signals research seriousness
🔹 2. About Interdisciplinary Research
❌ Basic:
“Are there interdisciplinary research opportunities?”
✅ Better Version:
“Are there opportunities for interdisciplinary research collaborations, especially in areas like AI integration with other domains such as education or healthcare?”
💡 Why this works:
- Connects directly with your profile (AI + education + networks)
- Shows forward-thinking mindset
🔹 3. About Patents & Funding
❌ Basic:
“Does the institution support patents and funding proposals?”
✅ Better Version:
“Does the institution provide support for filing patents and applying for funded research projects, such as guidance, financial assistance, or collaboration opportunities?”
💡 Why this works:
- Shows you are action-oriented
- Indicates long-term contribution mindset
🧠 When to Ask These Questions
👉 Ask at the end of the interview, when they say:
- “Do you have any questions for us?”
👉 Don’t ask too early (it may look self-focused)
⚡ Pro Tip: Combine All 3 Into One Powerful Question
If time is limited, say:
“I would like to understand the research ecosystem here—particularly expectations for publications, opportunities for interdisciplinary collaboration, and support for patents or funded projects.”
🚀 Delivery Tips
- Speak calmly and confidently
- Maintain eye contact
- Don’t rush
- Ask 2–3 questions max (not too many)
🎯 Final Impression Line
After asking, you can close with:
“I am keen to contribute actively to both teaching and research initiatives in your institution.”
If you want, I can next:
✅ Simulate real interview panel conversation (Q&A live style)
✅ Give subject-wise deep technical grilling questions
✅ Prepare answers for tricky HR questions (stress interview)
Just tell me 👍
MOCK INTERVIEW SIMULATION (Panel Style)
👉 Instructions for you:
- Answer each question out loud or type your answer
- Keep answers 1–2 minutes max
- After you respond, compare with my model answer
👨⚖️ PANEL ROUND STARTS
🔹 Panelist 1 (HR + Intro)
Q1:
“Dr. Gnanakumaran, please introduce yourself briefly.”
👉 (Pause and answer)
✅ Model Answer:
“I am Dr. R. Gnanakumaran, an Assistant Professor in Computer Science with over 15 years of experience in teaching and industry. I completed my Ph.D. from Bharathidasan University, focusing on energy-efficient routing in wireless networks. I have published several international papers including IEEE and hold patents in AI-based education and energy systems. My interests include AI, IoT, and network optimization, and I actively contribute to academic administration and research activities.”
🔹 Panelist 2 (Research Focus)
Q2:
“What is the key contribution of your Ph.D. work?”
👉 (Answer)
✅ Model Answer:
“My Ph.D. focused on improving energy efficiency in mobile ad-hoc networks. I proposed optimized routing mechanisms based on AODV protocol to reduce power consumption and improve network lifetime. The contribution lies in balancing performance and energy usage, which is critical in wireless communication systems.”
🔹 Panelist 3 (Technical)
Q3:
“Explain AODV and its limitations.”
👉 (Answer)
✅ Model Answer:
“AODV is a reactive routing protocol that establishes routes only when required, reducing unnecessary overhead. However, it suffers from high latency during route discovery, frequent link breakages in dynamic environments, and increased control message overhead. My research addressed these issues by optimizing route selection and energy usage.”
🔹 Panelist 4 (AI / Modern Tech)
Q4:
“How does GRU differ from LSTM?”
👉 (Answer)
✅ Model Answer:
“GRU is a simplified version of LSTM with fewer gates—reset and update gates instead of three gates in LSTM. It has fewer parameters, making it faster to train while still capturing sequential dependencies effectively.”
🔹 Panelist 5 (Teaching Ability)
Q5:
“How do you teach complex topics like Machine Learning to undergraduate students?”
👉 (Answer)
✅ Model Answer:
“I use a step-by-step approach starting with basic concepts, real-life examples, and visual explanations. I incorporate tools, case studies, and interactive sessions to make learning engaging. I also use continuous assessment to ensure understanding.”
🔹 Panelist 1 (HR)
Q6:
“Why do you want to join our institution?”
👉 (Answer)
✅ Model Answer:
“I am looking for an institution that values both teaching excellence and research. I believe my experience in AI, networks, and academic administration can contribute effectively, and I am particularly interested in collaborative research opportunities here.”
🔹 Panelist 2 (Situational)
Q7:
“If students are not interested in your class, what will you do?”
👉 (Answer)
✅ Model Answer:
“I would first identify the reason—whether it’s difficulty level or engagement. Then I would adapt my teaching using interactive methods, real-world examples, and technology tools to make the subject more relatable.”
🧠 📊 FEEDBACK FRAMEWORK (Self-Evaluate)
After answering, check yourself:
✅ Content
- Did you include concept + example + your work?
✅ Clarity
- Was your answer simple and structured?
✅ Confidence
- Did you avoid hesitation words (“uh”, “maybe”)?
✅ Relevance
- Did you connect answers to your research/experience?
🔥 🎯 SUBJECT-SPECIFIC DEEP TECHNICAL QUESTIONS
These are panel-level tough questions 👇
🌐 Computer Networks (Core Area)
- What are the differences between proactive vs reactive routing protocols?
- How does AODV handle route maintenance?
- Explain QoS in wireless networks
- What is congestion control in TCP?
- Compare OSI vs TCP/IP models in real implementation
- What are challenges in MANETs?
📡 Wireless Networks / WiMAX
- What is IEEE 802.16e?
- Explain handover mechanisms in WiMAX
- How do you reduce energy consumption in wireless networks?
- What is throughput vs latency tradeoff?
🤖 AI & Machine Learning
- Difference between supervised vs unsupervised learning
- What is overfitting and how to prevent it?
- Explain Gradient Descent
- What is activation function?
- Compare GRU vs LSTM vs RNN
- What is model evaluation (precision, recall, F1-score)?
🌍 IoT
- Architecture of IoT
- What are IoT protocols (MQTT, CoAP)?
- Security challenges in IoT
- Applications of IoT in smart systems
🎓 Teaching & Research
- How do you guide Ph.D./PG students?
- How do you identify research gaps?
- What is impact factor vs indexing?
- How do you write a research proposal?
🚀 NEXT LEVEL (If you want)
I can now:
✅ Evaluate your real answers (you type them)
✅ Conduct a stress interview round
✅ Prepare demo lecture PPT + script
✅ Give answers for all deep technical questions
SVEEP -ECI
Thursday, February 12, 2026
Wednesday, February 4, 2026
ADVANCED DATABASE MANAGEMENT SYSTEMS UNIT III (BDU M.Sc CS SYLLABUS 2022-23)
ADVANCED
DATABASE MANAGEMENT SYSTEMS
UNIT
III
Basic
Structure of SQL Queries - Additional Basics Operations, Set Operations - Null
Values, Aggregate Functions - Nested Subqueries, Modification of the Database
SQL
QUESTION BANK
Units
Covered:
- Data Definition Language (DDL)
- Basic Structure of SQL Queries
- Additional Basic Operations
- Set Operations
- NULL Values
- Aggregate Functions
- Nested Subqueries
- Modification of the Database
1️⃣ OBJECTIVE TYPE QUESTIONS (MCQs)
1.
Which SQL command is used to create a table?
a) INSERT
b) UPDATE
c) CREATE
d) SELECT
✅ Answer:
c) CREATE
2.
Which clause is used to filter records in SQL?
a) ORDER BY
b) WHERE
c) GROUP BY
d) HAVING
✅ Answer:
b) WHERE
3.
Which set operation returns common records from two queries?
a) UNION
b) INTERSECT
c) MINUS
d) ALL
✅ Answer:
b) INTERSECT
4.
Which aggregate function returns the total number of rows?
a) SUM()
b) AVG()
c) COUNT()
d) MAX()
✅ Answer:
c) COUNT()
5.
Which keyword is used to handle missing or unknown values?
a) DEFAULT
b) NULL
c) VOID
d) EMPTY
✅ Answer:
b) NULL
2️⃣ FILL IN THE BLANKS
- The SQL command used to remove
a table permanently is ______.
✅ Answer: DROP - The ______ clause
groups rows with the same values.
✅ Answer: GROUP BY - The UNION operation removes ______
rows by default.
✅ Answer: duplicate - Aggregate functions return a ______
value.
✅ Answer: single - A subquery written inside
another query is called a ______.
✅ Answer: nested subquery
3️⃣ BLOOM’S TAXONOMY QUESTIONS WITH
ANSWERS
🔹 Remembering
Q: List any four SQL DDL commands.
A: CREATE, DROP, ALTER, TRUNCATE
🔹 Understanding
Q: Explain the purpose of the WHERE
clause.
A: The WHERE clause filters records based on specified conditions.
🔹 Applying
Q: Write a SQL query to display all
students with marks greater than 80.
A:
SELECT *
FROM student WHERE marks > 80;
🔹 Analyzing
Q: Differentiate between WHERE and
HAVING clauses.
A:
- WHERE filters rows before
grouping
- HAVING filters groups after
GROUP BY
🔹 Evaluating
Q: Why are nested subqueries
preferred in complex queries?
A: They improve query clarity, reusability, and allow conditional
filtering.
🔹 Creating
Q: Create a table Employee with
EmpID, Name, and Salary.
A:
CREATE
TABLE Employee (
EmpID INT,
Name VARCHAR(50),
Salary DECIMAL(10,2)
);
4️⃣ DETAILED ANSWERS (THEORY +
EXAMPLES)
📘 Data Definition Language (DDL)
DDL
commands define database structure.
Commands:
- CREATE – creates tables
- ALTER – modifies structure
- DROP – deletes structure
- TRUNCATE – removes all records
Example:
CREATE
TABLE Student (
RollNo INT,
Name VARCHAR(30),
Age INT
);
📘 Basic Structure of SQL Queries
SELECT
column_name
FROM
table_name
WHERE
condition;
Example:
SELECT
Name FROM Student WHERE Age > 18;
📘 Additional Basic Operations
- ORDER BY – sorts records
- DISTINCT – removes duplicates
- LIKE – pattern matching
📘 Set Operations
|
Operation |
Description |
|
UNION |
Combines
results, removes duplicates |
|
UNION
ALL |
Keeps
duplicates |
|
INTERSECT |
Common
records |
|
MINUS |
Records
in first query only |
📘 NULL Values
NULL
represents missing or unknown data.
Checking
NULL:
SELECT *
FROM Student WHERE Age IS NULL;
📘 Aggregate Functions
- COUNT()
- SUM()
- AVG()
- MIN()
- MAX()
Example:
SELECT
AVG(Salary) FROM Employee;
📘 Nested Subqueries
A query
inside another query.
Example:
SELECT
Name FROM Employee
WHERE
Salary > (SELECT AVG(Salary) FROM Employee);
📘 Modification of the Database
- INSERT – add records
- UPDATE – modify records
- DELETE – remove records
Example:
UPDATE
Employee SET Salary = 50000 WHERE EmpID = 101;
SQL
QUERIES WITH EXAMPLES
(Based
on syllabus)
1️⃣ DATA DEFINITION LANGUAGE (DDL)
🔹 CREATE TABLE
Purpose: Create a new table
CREATE
TABLE Student (
RollNo INT,
Name VARCHAR(30),
Age INT,
Marks INT
);
Example:
Creates a table named Student with four columns.
🔹 ALTER TABLE
Purpose: Modify table structure
ALTER
TABLE Student ADD Email VARCHAR(50);
Example:
Adds a new column Email to Student table.
🔹 DROP TABLE
Purpose: Delete table permanently
DROP TABLE
Student;
Example:
Removes the Student table completely.
🔹 TRUNCATE TABLE
Purpose: Remove all records (structure
remains)
TRUNCATE
TABLE Student;
2️⃣ BASIC STRUCTURE OF SQL QUERY
🔹 SELECT Statement
SELECT *
FROM Student;
Example:
Displays all records from Student table.
🔹 SELECT with WHERE
SELECT
Name, Marks FROM Student WHERE Marks > 80;
Example:
Shows students scoring more than 80 marks.
3️⃣ ADDITIONAL BASIC OPERATIONS
🔹 ORDER BY
SELECT *
FROM Student ORDER BY Marks DESC;
Example:
Displays students sorted by marks (highest first).
🔹 DISTINCT
SELECT
DISTINCT Age FROM Student;
Example:
Displays unique ages only.
🔹 LIKE Operator
SELECT *
FROM Student WHERE Name LIKE 'A%';
Example:
Displays names starting with letter A.
4️⃣ SET OPERATIONS
Assume two
tables:
ClassA and ClassB
🔹 UNION
SELECT
Name FROM ClassA
UNION
SELECT
Name FROM ClassB;
Example:
Combines names from both tables (no duplicates).
🔹 UNION ALL
SELECT
Name FROM ClassA
UNION ALL
SELECT
Name FROM ClassB;
Example:
Includes duplicate names.
🔹 INTERSECT
SELECT
Name FROM ClassA
INTERSECT
SELECT
Name FROM ClassB;
Example:
Displays common students.
🔹 MINUS
SELECT
Name FROM ClassA
MINUS
SELECT
Name FROM ClassB;
Example:
Students only in ClassA.
5️⃣ NULL VALUES
🔹 IS NULL
SELECT *
FROM Student WHERE Email IS NULL;
Example:
Shows students without email ID.
🔹 IS NOT NULL
SELECT *
FROM Student WHERE Email IS NOT NULL;
6️⃣ AGGREGATE FUNCTIONS
🔹 COUNT()
SELECT
COUNT(*) FROM Student;
Example:
Counts total number of students.
🔹 SUM()
SELECT
SUM(Marks) FROM Student;
🔹 AVG()
SELECT
AVG(Marks) FROM Student;
🔹 MAX() and MIN()
SELECT
MAX(Marks), MIN(Marks) FROM Student;
7️⃣ NESTED SUBQUERIES
🔹 Subquery with SELECT
SELECT
Name FROM Student
WHERE
Marks > (SELECT AVG(Marks) FROM Student);
Example:
Displays students scoring above average marks.
🔹 Subquery with IN
SELECT
Name FROM Student
WHERE
RollNo IN (SELECT RollNo FROM Result WHERE Status = 'Pass');
8️⃣ MODIFICATION OF DATABASE
🔹 INSERT
INSERT
INTO Student VALUES (1, 'Ravi', 20, 85);
🔹 UPDATE
UPDATE
Student SET Marks = 90 WHERE RollNo = 1;
🔹 DELETE
DELETE
FROM Student WHERE Marks < 40;
SQL
QUERIES WITH INPUT DATA & OUTPUT
📘 ASSUME STUDENT TABLE DATA
SELECT *
FROM Student;
|
RollNo |
Name |
Age |
Marks |
Email |
|
1 |
Ravi |
20 |
85 |
|
|
2 |
Anu |
19 |
92 |
NULL |
|
3 |
Kumar |
21 |
70 |
|
|
4 |
Asha |
20 |
40 |
NULL |
|
5 |
Bala |
22 |
95 |
1️⃣ BASIC SELECT QUERY
SELECT *
FROM Student;
✅ OUTPUT
|
RollNo |
Name |
Age |
Marks |
Email |
|
1 |
Ravi |
20 |
85 |
|
|
2 |
Anu |
19 |
92 |
NULL |
|
3 |
Kumar |
21 |
70 |
|
|
4 |
Asha |
20 |
40 |
NULL |
|
5 |
Bala |
22 |
95 |
2️⃣ SELECT WITH WHERE
SELECT
Name, Marks FROM Student WHERE Marks > 80;
✅ OUTPUT
|
Name |
Marks |
|
Ravi |
85 |
|
Anu |
92 |
|
Bala |
95 |
3️⃣ ORDER BY
SELECT
Name, Marks FROM Student ORDER BY Marks DESC;
✅ OUTPUT
|
Name |
Marks |
|
Bala |
95 |
|
Anu |
92 |
|
Ravi |
85 |
|
Kumar |
70 |
|
Asha |
40 |
4️⃣ DISTINCT
SELECT
DISTINCT Age FROM Student;
✅ OUTPUT
|
Age |
|
19 |
|
20 |
|
21 |
|
22 |
5️⃣ LIKE OPERATOR
SELECT
Name FROM Student WHERE Name LIKE 'A%';
✅ OUTPUT
|
Name |
|
Anu |
|
Asha |
6️⃣ NULL VALUES
SELECT
Name FROM Student WHERE Email IS NULL;
✅ OUTPUT
|
Name |
|
Anu |
|
Asha |
7️⃣ AGGREGATE FUNCTIONS
🔹 COUNT
SELECT
COUNT(*) FROM Student;
✅ OUTPUT
|
COUNT(*) |
|
5 |
🔹 SUM
SELECT
SUM(Marks) FROM Student;
✅ OUTPUT
|
SUM(Marks) |
|
382 |
🔹 AVG
SELECT
AVG(Marks) FROM Student;
✅ OUTPUT
|
AVG(Marks) |
|
76.4 |
🔹 MAX & MIN
SELECT
MAX(Marks), MIN(Marks) FROM Student;
✅ OUTPUT
|
MAX(Marks) |
MIN(Marks) |
|
95 |
40 |
8️⃣ NESTED SUBQUERY
SELECT
Name FROM Student
WHERE
Marks > (SELECT AVG(Marks) FROM Student);
✅ OUTPUT
|
Name |
|
Ravi |
|
Anu |
|
Bala |
9️⃣ INSERT QUERY
INSERT
INTO Student VALUES (6, 'Sita', 19, 88, 'sita@gmail.com');
✅ OUTPUT (After Insert)
|
RollNo |
Name |
Age |
Marks |
Email |
|
6 |
Sita |
19 |
88 |
🔟 UPDATE QUERY
UPDATE
Student SET Marks = 90 WHERE RollNo = 1;
✅ OUTPUT (Updated Row)
|
RollNo |
Name |
Marks |
|
1 |
Ravi |
90 |
1️⃣1️⃣ DELETE QUERY
DELETE
FROM Student WHERE Marks < 50;
✅ OUTPUT (Remaining Records)
|
RollNo |
Name |
Marks |
|
1 |
Ravi |
90 |
|
2 |
Anu |
92 |
|
3 |
Kumar |
70 |
|
5 |
Bala |
95 |
|
6 |
Sita |
88 |
Intermediate SQL: Join Expression, Views -
Transactions, Integrity Constraints - Data Types and Schemas, Authorization
INTERMEDIATE SQL – COMPLETE QUESTION BANK
Syllabus Covered:
- Join
Expressions
- Views
- Transactions
- Integrity
Constraints
- Data
Types & Schemas
- Authorization
1️⃣ OBJECTIVE TYPE QUESTIONS (MCQs)
1. Which SQL join returns only matching
rows from both tables?
a) LEFT JOIN
b) RIGHT JOIN
c) FULL JOIN
d) INNER JOIN
✅ Answer: d) INNER
JOIN
2. Which command is used to create a view?
a) CREATE TABLE
b) CREATE VIEW
c) ALTER VIEW
d) DROP VIEW
✅ Answer: b) CREATE
VIEW
3. Which command permanently saves
transaction changes?
a) ROLLBACK
b) SAVEPOINT
c) COMMIT
d) DELETE
✅ Answer: c) COMMIT
4. PRIMARY KEY constraint ensures that a
column is
a) NULL
b) Duplicate
c) Unique and NOT NULL
d) Indexed only
✅ Answer: c) Unique
and NOT NULL
5. Which SQL statement is used to grant
permission to a user?
a) REVOKE
b) ALLOW
c) GRANT
d) AUTHORIZE
✅ Answer: c) GRANT
2️⃣ FILL IN THE BLANKS
1.
A ______ join returns all rows from the
left table and matching rows from the right table.
✅ Answer: LEFT JOIN
2.
A view is a ______ table based on SQL
query.
✅ Answer: virtual
3.
The ______ command undoes changes in a
transaction.
✅ Answer: ROLLBACK
4.
FOREIGN KEY constraint maintains ______
integrity.
✅ Answer:
referential
5.
The GRANT command gives ______ to users.
✅ Answer:
privileges
3️⃣ BLOOM’S TAXONOMY QUESTIONS &
ANSWERS
🔹
Remembering
Q: List different types of
SQL joins.
A: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
🔹
Understanding
Q: Explain views in SQL.
A: A view is a virtual table created using a SELECT query to simplify
complex queries.
🔹
Applying
Q: Write a SQL query to
join Student and Department tables.
A:
SELECT Student.Name, Department.DeptName
FROM Student
INNER JOIN Department
ON Student.DeptID = Department.DeptID;
🔹
Analyzing
Q: Compare INNER JOIN and
LEFT JOIN.
A:
- INNER
JOIN returns only matching rows
- LEFT
JOIN returns all rows from left table
🔹
Evaluating
Q: Why are transactions
important in databases?
A: They ensure data consistency and allow rollback during errors.
🔹
Creating
Q: Create a view for
students scoring above 80 marks.
A:
CREATE VIEW HighScorers AS
SELECT Name, Marks FROM Student WHERE Marks > 80;
4️⃣ EXAMPLES WITH QUERY AND OUTPUT
📘
ASSUME TABLE DATA
Student Table
|
RollNo |
Name |
DeptID |
Marks |
|
1 |
Ravi |
101 |
85 |
|
2 |
Anu |
102 |
90 |
|
3 |
Kumar |
101 |
70 |
Department Table
|
DeptID |
DeptName |
|
101 |
CSE |
|
102 |
IT |
🔹
JOIN EXPRESSION (INNER JOIN)
SELECT Name, DeptName
FROM Student
INNER JOIN Department
ON Student.DeptID = Department.DeptID;
✅
OUTPUT
|
Name |
DeptName |
|
Ravi |
CSE |
|
Anu |
IT |
|
Kumar |
CSE |
🔹
VIEW
CREATE VIEW TopStudents AS
SELECT Name, Marks FROM Student WHERE Marks > 80;
SELECT * FROM TopStudents;
✅
OUTPUT
|
Name |
Marks |
|
Ravi |
85 |
|
Anu |
90 |
🔹
TRANSACTION
BEGIN TRANSACTION;
UPDATE Student SET Marks = 95 WHERE RollNo = 1;
ROLLBACK;
✅
OUTPUT
Marks remain unchanged after rollback.
|
RollNo |
Name |
Marks |
|
1 |
Ravi |
85 |
🔹
INTEGRITY CONSTRAINTS
CREATE TABLE Course (
CourseID INT
PRIMARY KEY,
CourseName
VARCHAR(30) NOT NULL,
DeptID INT,
FOREIGN KEY
(DeptID) REFERENCES Department(DeptID)
);
🔹
DATA TYPES & SCHEMA
CREATE SCHEMA College;
CREATE TABLE College.Faculty (
FacID INT,
Name
VARCHAR(30),
Salary
DECIMAL(10,2));
🔹
AUTHORIZATION
GRANT SELECT, INSERT ON Student TO User1;
REVOKE INSERT ON Student FROM User1;
Advanced SQL: Accessing SQL from Programming Language,
Functions and Procedures, Triggers
- Objective‑type
questions (MCQs)
- Fill‑in‑the‑blanks
- Bloom’s‑taxonomy‑style
questions (Knowledge → Analysis)
- PL/SQL
code examples with detailed step‑by‑step explanation
All are framed around Oracle‑style PL/SQL (you
can adapt to PostgreSQL/SQL Server if needed).
1. Objective‑type questions (MCQs)
A. Accessing SQL from a programming
language
1.
Which of the following is used to embed
SQL statements directly inside a host programming language like C or Java?
a) Dynamic SQL
b) Embedded SQL
c) Native SQL
d) Inline SQL
2.
In JDBC, which interface is used to call a
stored procedure?
a) Statement
b) PreparedStatement
c) CallableStatement
d) Connection
3.
Which of the following is not a way
to access SQL from a host language?
a) ODBC
b) JDBC
c) PL/SQL blocks only
d) Embedded SQL
4.
What is the main advantage of using stored
procedures instead of plain SQL in the application?
a) Faster network transfer
b) Better security and code reuse
c) Simpler UI design
d) Easier debugging in the browser
Answers:
1.
b) Embedded SQLsanfoundry+1
2.
c) CallableStatement[sanfoundry]
3.
c) PL/SQL blocks onlydb-book+1
4.
b) Better security and code reusedevitpl+1
B. Functions and Procedures
5.
A PL/SQL function must return:
a) A table
b) A cursor
c) A value of a specified data type
d) Nothing
6.
Which keyword is used to define a PL/SQL
procedure?
a) FUNCTION
b) PROCEDURE
c) SUBPROGRAM
d) ROUTINE
7.
Which of the following is true about
PL/SQL functions?
a) They can be called only inside PL/SQL blocks
b) They can be used in SQL SELECT clauses
c) They cannot have parameters
d) They always modify the database
8.
What is the purpose of IN, OUT, and IN OUT
in PL/SQL parameter modes?
a) To specify data types
b) To specify the direction of parameter passing
c) To specify table names
d) To specify transaction behavior
Answers:
5. c) A value of a specified data typesimplilearn+1
6. b) PROCEDUREgeeksforgeeks+1
7. b) They can be used in SQL SELECT clausessimplilearn+1
8. b) To specify the direction of parameter passinggeeksforgeeks+1
C. Triggers
9.
A trigger is automatically executed when:
a) A user logs in
b) A specific SQL event occurs on a table
c) A stored procedure is compiled
d) The database starts
10.
Which of the following is not a
valid trigger timing in Oracle?
a) BEFORE
b) AFTER
c) INSTEAD OF
d) DURING
11.
A row‑level trigger fires:
a) Once per statement
b) Once per row affected by the statement
c) Only on SELECT
d) Only on DROP
12.
Which of the following is a typical use of
a trigger?
a) To create a new table
b) To enforce complex business rules
c) To compile PL/SQL code
d) To connect to another database
Answers:
9. b) A specific SQL event occurs on a tablesanfoundry+1
10. d) DURINGdevitpl+1
11. b) Once per row affected by the statementsanfoundry+1
12. b) To enforce complex business rulesdevitpl+1
2. Fill‑in‑the‑blanks (with answers)
1.
In Embedded SQL, SQL statements are
processed by a ________ before the host‑language compiler runs.
Answer: preprocessordb-book+1
2.
In JDBC, the ________ interface is used to
execute SQL queries and retrieve results.
Answer: Statement (or PreparedStatement)[sanfoundry]
3.
A PL/SQL ________ returns a value, while a
________ does not.
Answer: function, proceduresimplilearn+1
4.
The keyword ________ is used to define a
trigger in PL/SQL.
Answer: TRIGGERgeeksforgeeks+1
5.
A trigger that fires before an INSERT is
called a ________ trigger.
Answer: BEFOREsanfoundry+1
6.
The pseudo‑records ________ and ________
can be used inside a row‑level trigger to access old and new values.
Answer: :OLD, :NEWdevitpl+1
7.
A ________‑level trigger fires once per
SQL statement, regardless of how many rows are affected.
Answer: statementsanfoundry+1
3. Bloom’s‑taxonomy‑style questions (with
answers)
Level 1–2: Remember / Understand
8.
Knowledge:
List three ways to access SQL from a host programming language.
Answer: Embedded SQL, Dynamic SQL (via APIs such as JDBC/ODBC), calling
stored procedures/functions from the host language.db-book+1
9.
Understand:
Explain the difference between a PL/SQL function and a procedure.
Answer: A function returns a single value and can be used in SQL
expressions (e.g., SELECT), while a procedure performs actions and may have OUT
or IN OUT parameters but does not return a value in the same way.simplilearn+1
Level 3–4: Apply / Analyze
10.
Apply:
Write a PL/SQL function that takes an employee ID and returns the employee’s
salary.
Answer (step‑by‑step):
o Declare
a function get_salary with parameter p_emp_id of type NUMBER.
o Use
RETURN NUMBER to specify the return type.
o In
the IS/AS block, declare a local variable v_salary.
o Use
SELECT salary INTO v_salary FROM employees WHERE emp_id = p_emp_id;.
o Return
v_salary.
o Call
it in SQL: SELECT get_salary(101) FROM dual;.geeksforgeeks+1
11.
Analyze:
Why might you prefer to call a stored procedure from a Java application instead
of writing SQL directly in Java?
Answer: Stored procedures centralize business logic, improve security
(least‑privilege access), reduce network round trips, and make maintenance
easier (change logic in one place).sanfoundry+1
Level 5–6: Evaluate / Create
12.
Evaluate:
Compare the use of triggers versus application‑level code for enforcing a
business rule such as “salary cannot be decreased by more than 10% in a single
update.”
Answer:
o Triggers
enforce the rule at the database level, so all applications (even ad‑hoc tools)
are covered.
o Application
code can be bypassed or duplicated across clients; triggers avoid that but can
make debugging harder and may impact performance if not designed well.devitpl+1
13.
Create:
Design a trigger that logs every update to an EMPLOYEES table into an EMP_LOG
table, recording the old salary, new salary, and timestamp.
Answer outline:
o Create
an EMP_LOG(emp_id, old_sal, new_sal, change_date) table.
o Define
a row‑level AFTER UPDATE trigger on EMPLOYEES.
o Inside
the trigger body, insert into EMP_LOG using :OLD.emp_id, :OLD.salary, :NEW.salary,
and SYSDATE.sanfoundry+1
4. PL/SQL examples with step‑by‑step
working
Example 1: Simple function
sql
CREATE OR REPLACE
FUNCTION get_salary(p_emp_id NUMBER)
RETURN NUMBER
IS
v_salary
NUMBER;
BEGIN
SELECT
salary INTO v_salary
FROM
employees
WHERE
emp_id = p_emp_id;
RETURN
v_salary;
END;
/
Step‑by‑step how it works:
1.
CREATE OR REPLACE FUNCTION
get_salary(p_emp_id NUMBER)
o Defines
a function named get_salary that takes one input parameter p_emp_id of type NUMBER.simplilearn+1
2.
RETURN NUMBER
o Declares
that the function will return a numeric value.[geeksforgeeks]
3.
IS (or AS)
o Starts
the declaration section where local variables are defined.[geeksforgeeks]
4.
v_salary NUMBER;
o Declares
a local variable v_salary to hold the retrieved salary.[geeksforgeeks]
5.
BEGIN ... END;
o The
executable block:
§ SELECT
salary INTO v_salary ... fetches the salary for the given emp_id into v_salary.[geeksforgeeks]
§ RETURN
v_salary; sends the value back to the caller.[geeksforgeeks]
6.
Usage in SQL:
sql
SELECT get_salary(101) FROM
dual;
o The
SQL engine calls the function, passes 101, and displays the returned salary.[geeksforgeeks]
Example 2: Simple procedure
sql
CREATE OR REPLACE
PROCEDURE raise_salary(
p_emp_id IN NUMBER,
p_percent IN NUMBER,
p_new_sal OUT NUMBER
)
IS
BEGIN
UPDATE
employees
SET
salary = salary * (1 + p_percent / 100)
WHERE
emp_id = p_emp_id;
SELECT
salary INTO p_new_sal
FROM
employees
WHERE
emp_id = p_emp_id;
END;
/
Step‑by‑step how it works:
1.
PROCEDURE raise_salary(...)
o Defines
a procedure that takes two IN parameters (p_emp_id, p_percent) and one OUT
parameter p_new_sal.simplilearn+1
2.
UPDATE employees ...
o Increases
the salary by the given percentage for the specified employee.[geeksforgeeks]
3.
SELECT salary INTO p_new_sal ...
o Reads
the updated salary and assigns it to the OUT parameter.[geeksforgeeks]
4.
Calling from PL/SQL block:
DECLARE
v_new_sal
NUMBER;
BEGIN
raise_salary(101,
10, v_new_sal);
DBMS_OUTPUT.PUT_LINE('New
salary: ' || v_new_sal);
END;
o The
procedure modifies the row and returns the new salary via v_new_sal.simplilearn+1
Example 3: Trigger (row‑level audit)
sql
CREATE TABLE
emp_log (
emp_id NUMBER,
old_sal NUMBER,
new_sal NUMBER,
change_date DATE
);
CREATE OR REPLACE
TRIGGER audit_salary_update
AFTER
UPDATE OF salary ON employees
FOR EACH
ROW
BEGIN
INSERT
INTO emp_log (emp_id, old_sal, new_sal, change_date)
VALUES
(:OLD.emp_id, :OLD.salary, :NEW.salary, SYSDATE);
END;
/
Step‑by‑step how it works:
1.
CREATE TABLE emp_log ...
o Creates
a log table to store changes.[devitpl]
2.
CREATE OR REPLACE TRIGGER
audit_salary_update
o Names
the trigger audit_salary_update.sanfoundry+1
3.
AFTER UPDATE OF salary ON employees
o Specifies
that the trigger fires after an UPDATE on the salary column of employees.devitpl+1
4.
FOR EACH ROW
o Makes
it a row‑level trigger; it runs once per updated row.sanfoundry+1
5.
Inside BEGIN ... END;
o INSERT
INTO emp_log ...
§ Uses
:OLD.emp_id, :OLD.salary (values before update) and :NEW.salary (values after
update).devitpl+1
§ SYSDATE
records the timestamp of the change.[devitpl]
6.
Effect:
o Every
time someone updates an employee’s salary, a log entry is created
automatically.simplilearn+1

