Question Bank PDF Structure of Computer Science/Information

Advanced Java Question Bank(CBCS 2021-22). Q - 2 Solve any Eight of the ... Subject: - Introduction to Python programming. QUESTION BANK. Q. No.2). Answer any ...

M.Sc. Computer Science

20 Jun 2017 Roy Advanced Java programming. References. 1. HerberttSchildt

UUS N VTU Question Paper - Solution Sub: Advanced Java & J2EE

15 Jun 2020 Explain values() and valueOf() methods with an example program. Enumeration: An enumeration is a list of named constants. In Java an ...

Model Question Papers

28 Nov 2018 Programs. Page No. 1. Civil Engineering. CE1-CE14. 2. Computer Science and Engineering. CSE1-CSE29. 3.

Question Bank

BT102. Introduction to Computers Fundamental and IT*. CS 201. Object Oriented Programming. CS301. Data Structures and Algorithms. CS302. Core Java.

QUESTION BANK II YEAR CSE-03RD SEMESTER Academic year

Steven Holzner “Java 2 Black book”

ZEAL POLYTECHNIC PUNE

Question Bank for Multiple Choice Questions. Program: Diploma in Computer Engineering. Program Code:- CO. Scheme:-I. Semester:- V. Course:- Advanced Java

Answers of Question Bank Class XI Computer Science - (Book

Q.3 Which two languages contributed to Python as a Programming Language? Ans- ABC language and Modula 3. Q.4 Is Python an

SAMPLE QUESTION PAPER (SOLVED)

(d) Observe the following program and answer the questions that follow: What is the minimum and maximum number of times the loopwill execute? b. Find out

KENDRIYA VIDYALAYA SANGATHAN AHMEDABAD REGION

All programming questions are to be answered using Python Language only. This question paper contains two parts A and B. Each part is compulsory. 2. Both ...

MC5304/ Programming With JAVA MCA 2018-2019 St. Josephs

To understand and apply the fundamentals core java packages

Model Question Papers

11-Dec-2018 For Undergraduate Program. The model question papers are suggestive blueprints. ... Course Name: Advanced Geotechnical Engineering.

ADVANCED JAVA PROGRAMMING QP CODE: 765 SUBJECT

ADVANCED JAVA PROGRAMMING. QP CODE: 765. SUBJECT CODE: 34661. PART – A. (Each question carries 2 marks Answer any FIVE (5) questions. Q.No 8 – Compulsory).

Question Bank

Introduction to Computers Fundamental and IT*. CS 201. Object Oriented Programming. CS301. Data Structures and Algorithms. CS302. Core Java. CS303.

M.Sc. Computer Science

Course under Choice Based Credit System. SEMESTER – I. Paper. Code. Paper Title. HpW. Marks. Credits. I. CS101T. Advanced Java Programming.

Question Bank

Structure of Computer Science/Information Technology (IT) Syllabus Answer any Five Question. 5 X 15 = 75 ... Object Oriented Programming Using Java 4.

3160707.pdf

Subject Name: Advance java Programming. Type of course: Elective. Prerequisite: Java Programming. Rationale: Web application based on Java uses Servlet

MALLAREDDY COLLEGE OF ENGINEEING & TECHNOLOGY

Java for Programmers Deitel and Deitel

ZEAL POLYTECHNIC PUNE

Question Bank for Multiple Choice Questions Course:- Advanced Java Programming ... Answer:b. Q. 4 AWT is used for GUI programming in java? (a) True.

QUESTION BANK MALLA REDDY COLLEGE OF ENGINEERING

Question paper Consists of 5 SECTIONS (One SECTION for each UNIT). Answer FIVE Give solution for multistage graph using dynamic programming. [14M].

Andhra Pradesh State Council of Higher Education B.Sc. Computer Science/Information Technology (IT) Syllabus Under CBCS w.e.f.2015-2016 (Modified in April 2016)

Structure of Computer Science/Information Technology (IT) Syllabus III YEAR VI SEMESTER (Cluster 1) Paper-VIII : Elective -A-2

BIG DATA TECHNOLOGY

Question Bank

1. What is distributed File System? Explain the significance of four V's in Big Data.

2. Explain Briefly about Big Data Analysis.

3. Explain Briefly about Big Data Application.

4. What is Big Data? Explain the characteristics and Proper APACHE Hadoop.

5. Explain how do we move data in and out of Hadoop.

6. Write about Map reduce and Data Serialization.

7. Explain briefly about Hadoop Architecture.

8. Explain Hadoop shell commands.

9. Write about HDFS administration, Monitoring and maintenance.

10. Explain Hive Architecture and Installation.

11. Compare Traditional Data Base with Hive.

12. Explain sorting and Aggregation in Hive & L.

13. Explain the concepts of HBase. Write its uses.

14. How a Schema Design in done in HBase.

15. How a Zookeeper is used in monitoring a clusters.

Andhra Pradesh State Council of Higher Education B.Sc. Computer Science/Information Technology (IT) Syllabus Under CBCS w.e.f.2015-2016 (Modified in April 2016)

Structure of Computer Science/Information Technology (IT) Syllabus III YEAR VI SEMESTER (Cluster 1) Paper-VIII: Elective -A-1 Big Data Technology

Model Question Paper

Answer any Five Question. 5 X 15 = 75

1. What is distributed File System? Explain the significance of four V's in Big Data.

2. Explain Briefly about Big Data Analysis.

3. What is Big Data? Explain the characteristics and Proper APACHE Hadoop.

4. Explain how do we move data in and out of Hadoop.

5. Explain briefly about Hadoop Architecture.

6. Explain Hadoop shell commands.

7. Explain Hive Architecture and Installation.

8. Compare Traditional Data Base with Hive.

9. Explain the concepts of HBase. Write its uses.

10. How a Schema Design in done in HBase.

Andhra Pradesh State Council of Higher Education B.Sc. Computer Science/Information Technology (IT) Syllabus Under CBCS w.e.f.2015-2016 (Modified in April 2016)

Structure of Computer Science/Information Technology (IT) Syllabus III YEAR VI SEMESTER (Cluster 1) Paper-VIII: Elective -A-1 Foundations of Data Science

Question Bank

1. What is Data Science ? What are its roles and stages in Data Science.

2. What are the different properties and characteristics of Relational Data Bases.

3. Explain the properties of NOSQL.

4. What is Machine Learning? What is its role in Data Science

5. What is a Cluster Analysis? Explain K-means algorithm.

6. What is Regression? Explain Logistic Regression.

7. Explain the Characteristics of 'R' Language? How d we read Data into 'R'.

8. What are Data frames? Write its Significance in 'R'.

9. Explain the Construction of Arrays and Matrices in 'R' Language.

10. Explain probability Distribution and Discrete Poisson distribution.

11. Explain in detail about Binomial Distribution.

12. What is Normal Distribution? Explain the representation of Normal Distribution in 'R'

Language with example.

13. Explain about Plot( ) function in 'R' Language.

14. Explain about Graph Exploration in 'R' Language.

15. What are Matrix Plots. Write its Significance.

Andhra Pradesh State Council of Higher Education B.Sc. Computer Science/Information Technology (IT) Syllabus Under CBCS w.e.f.2015-2016 (Modified in April 2016)

Structure of Computer Science/Information Technology (IT) Syllabus III YEAR VI SEMESTER (Cluster 1) Paper-VIII: Elective -A-1 Foundations of Data Science

Model Question Paper

Answer any Five Question. 5 X 15 = 75

1. What is Data Science ? What are its roles and stages in Data Science.

2. What are the different properties and characteristics of Relational Data Bases.

3. What is Machine Learning? What is its role in Data Science

4. What is a Cluster Analysis? Explain K-means algorithm.

5. Explain the Characteristics of 'R' Language? How d we read Data into 'R'.

6. What are Data frames? Write its Significance in 'R'.

7. Explain probability Distribution and Discrete Poisson distribution.

8. Explain in detail about Binomial Distribution.

9. Explain about Plot() function in 'R' Language.

10. Explain about Graph Exploration in 'R' Language.

WEB TECHNOLOGIES

MODEL PAPER

Answer any five of the following 5 x 15 = 75M

1. Explain the structure of HTML.

2. Explain briefly about forms in HTML.

3. Explain various properties and values in styles.

4. Explain cascading style sheet in HTML.

5. Explain various string manipulations in HTML.

6. Explain exception handling in detail.

7. Explain briefly about Roll-Over buttons.

8. Explain data validation concept in detail.

9. Explain DTD in XML.

10. Explain various web services.

Andhra Pradesh State Council of Higher Education B.Sc. Computer Science/Information Technology (IT) Syllabus Under CBCS w.e.f.2015-2016 (Modified in April 2016) Structure of Computer Science/Information Technology (IT) Syllabus

Semester Paper Subject Hrs.

Credi ts I A ES Total

FIRST YEAR

SEMESTER I I Computer Fundamentals and Photoshop 4 3 25 75 100

Photo Shop Lab 2 2 0 50 50

SEMESTER II II Programming in C 4 3 25 75 100

Programming in C Lab 2 2 0 50 50

SECOND YEAR

SEMESTER III III Object Oriented Programming Using Java 4 3 25 75 100

Object Oriented Programming Using Java

Lab

2 2 0 50 50

SEMESTER IV IV Data Structures 4 3 25 75 100

Data Structures using Java Lab 2 2 0 50 50

THIRD YEAR

SEMESTER V

V DBMS 3 3 25 75 100

quotesdbs_dbs2.pdfusesText_2

[PDF] Question Bank Structure of Computer Science/Information

BIG DATA TECHNOLOGY

Question Bank

1. What is distributed File System? Explain the significance of four V's in Big Data.

2. Explain Briefly about Big Data Analysis.

3. Explain Briefly about Big Data Application.

4. What is Big Data? Explain the characteristics and Proper APACHE Hadoop.

5. Explain how do we move data in and out of Hadoop.

6. Write about Map reduce and Data Serialization.

7. Explain briefly about Hadoop Architecture.

8. Explain Hadoop shell commands.

9. Write about HDFS administration, Monitoring and maintenance.

10. Explain Hive Architecture and Installation.

11. Compare Traditional Data Base with Hive.

12. Explain sorting and Aggregation in Hive & L.

13. Explain the concepts of HBase. Write its uses.

14. How a Schema Design in done in HBase.

15. How a Zookeeper is used in monitoring a clusters.

Model Question Paper

Answer any Five Question. 5 X 15 = 75

1. What is distributed File System? Explain the significance of four V's in Big Data.

2. Explain Briefly about Big Data Analysis.

3. What is Big Data? Explain the characteristics and Proper APACHE Hadoop.

4. Explain how do we move data in and out of Hadoop.

5. Explain briefly about Hadoop Architecture.

6. Explain Hadoop shell commands.

7. Explain Hive Architecture and Installation.

8. Compare Traditional Data Base with Hive.

9. Explain the concepts of HBase. Write its uses.

10. How a Schema Design in done in HBase.

Question Bank

1. What is Data Science ? What are its roles and stages in Data Science.

2. What are the different properties and characteristics of Relational Data Bases.

3. Explain the properties of NOSQL.

4. What is Machine Learning? What is its role in Data Science

5. What is a Cluster Analysis? Explain K-means algorithm.

6. What is Regression? Explain Logistic Regression.

7. Explain the Characteristics of 'R' Language? How d we read Data into 'R'.

8. What are Data frames? Write its Significance in 'R'.

9. Explain the Construction of Arrays and Matrices in 'R' Language.

10. Explain probability Distribution and Discrete Poisson distribution.

11. Explain in detail about Binomial Distribution.

12. What is Normal Distribution? Explain the representation of Normal Distribution in 'R'

Language with example.

13. Explain about Plot( ) function in 'R' Language.

14. Explain about Graph Exploration in 'R' Language.

15. What are Matrix Plots. Write its Significance.

Model Question Paper

Answer any Five Question. 5 X 15 = 75

1. What is Data Science ? What are its roles and stages in Data Science.

2. What are the different properties and characteristics of Relational Data Bases.

3. What is Machine Learning? What is its role in Data Science

4. What is a Cluster Analysis? Explain K-means algorithm.

5. Explain the Characteristics of 'R' Language? How d we read Data into 'R'.

6. What are Data frames? Write its Significance in 'R'.

7. Explain probability Distribution and Discrete Poisson distribution.

8. Explain in detail about Binomial Distribution.

9. Explain about Plot() function in 'R' Language.

10. Explain about Graph Exploration in 'R' Language.

WEB TECHNOLOGIES

MODEL PAPER

Answer any five of the following 5 x 15 = 75M

1. Explain the structure of HTML.

2. Explain briefly about forms in HTML.

3. Explain various properties and values in styles.

4. Explain cascading style sheet in HTML.

5. Explain various string manipulations in HTML.

6. Explain exception handling in detail.

7. Explain briefly about Roll-Over buttons.

8. Explain data validation concept in detail.

9. Explain DTD in XML.

10. Explain various web services.

Semester Paper Subject Hrs.

FIRST YEAR

Photo Shop Lab 2 2 0 50 50

SEMESTER II II Programming in C 4 3 25 75 100

Programming in C Lab 2 2 0 50 50

SECOND YEAR

Object Oriented Programming Using Java

2 2 0 50 50