## UGC-NET DEC-2019 Part-2

Question 1 |

Consider the following statements:

(a) The running time of dynamic programming algorithm is always θ(ρ) where ρ is number of subproblems.

(b) When a recurrence relation has cyclic dependency, it is impossible to use that recurrence relation (unmodified) in a correct dynamic program.

(c) For a dynamic programming algorithm, computing all values in a bottom-up fashion is asymptotically faster than using recursion and memorization.

(d) If a problem X can be reduced to a known NP-hard problem, then X must be NP-hard.

Which of the statement(s) is (are) true?

(a) The running time of dynamic programming algorithm is always θ(ρ) where ρ is number of subproblems.

(b) When a recurrence relation has cyclic dependency, it is impossible to use that recurrence relation (unmodified) in a correct dynamic program.

(c) For a dynamic programming algorithm, computing all values in a bottom-up fashion is asymptotically faster than using recursion and memorization.

(d) If a problem X can be reduced to a known NP-hard problem, then X must be NP-hard.

Which of the statement(s) is (are) true?

Only (b) and (a) | |

Only (b) | |

Only (b) and (c) | |

Only (b) and (d) |

Question 1 Explanation:

(i). FALSE: The running time of a dynamic program is the number of subproblems times the time per subproblem. This would only be true if the time per subproblem is O(1).

(ii). TRUE: Cyclic dependency is a relation between two or more modules which either directly or indirectly depend on each other to function properly. Such modules are also known as mutually recursive. So, we can’t get correct solution when we are using dynamic programming.

(iii). FALSE: A bottom up implementation must go through all of the sub-problems and spend the time per subproblem for each. Using recursion and memoization only spends time on the subproblems that it needs. In fact, the reverse may be true: using recursion and memoization may be asymptotically faster then a bottom-up implementation.

(iv). FALSE: If a problem X can be reduced to a known NP-hard problem, then X must be NP-Complete.

(ii). TRUE: Cyclic dependency is a relation between two or more modules which either directly or indirectly depend on each other to function properly. Such modules are also known as mutually recursive. So, we can’t get correct solution when we are using dynamic programming.

(iii). FALSE: A bottom up implementation must go through all of the sub-problems and spend the time per subproblem for each. Using recursion and memoization only spends time on the subproblems that it needs. In fact, the reverse may be true: using recursion and memoization may be asymptotically faster then a bottom-up implementation.

(iv). FALSE: If a problem X can be reduced to a known NP-hard problem, then X must be NP-Complete.

Question 2 |

Let G = (V, T, S, P) be any context-free grammar without any λ-productions or unit productions. Let K be the maximum number of symbols on the right of any production P. The maximum number of production rules for any equivalent grammar in Chomsky normal form is given by:

(K – 1) |P| + |T| - 1 | |

(K – 1) |P| +| T| | |

K |P| + |T| - 1 | |

K |P| + |T| |

Question 2 Explanation:

Let G = (V, T, S, P) be any context-free grammar without any λ-productions or unit productions. Let K be the maximum number of symbols on the right of any production P. The maximum number of production rules for any equivalent grammar in Chomsky normal form is given by (K – 1) |P| + |T|

Question 3 |

Which of the following is not needed by an encryption algorithm used in Cryptography?

KEY | |

Message | |

Ciphertext | |

User details | |

Option-C and Option-D |

Question 3 Explanation:

To Encrypt or decrypt an algorithm it requires Plain Text(or Message) and Key(either public or private).

But it does not require User details.

Not relevant option-"cipher text". Note: According to final answer key, given marks to option-C and Option-D

But it does not require User details.

Not relevant option-"cipher text". Note: According to final answer key, given marks to option-C and Option-D

Question 4 |

A Non-pipelined system takes 30ns to process a task. The same task can be processed in a four-segment pipeline with a clock cycle of 10ns. Determine the speed up of the pipeline for 100 tasks

3 | |

4 | |

3.91 | |

2.91 |

Question 4 Explanation:

S=nt

= 100*30/(100+4-1)*10

= 3000 / 1030

= 2.91

_{n}/ (n+k-1)t_{p}= 100*30/(100+4-1)*10

= 3000 / 1030

= 2.91

Question 5 |

Which tag is used to enclose any number of javascript statements in HTML document?

< code > | |

< script > | |

< title > | |

< body > |

Question 5 Explanation:

The < script > tag is used to define a client-side script (JavaScript).

The < script > element either contains scripting statements, or it points to an external script file through the src attribute.

Common uses for JavaScript are image manipulation, form validation, and dynamic changes of content.

The < script > element either contains scripting statements, or it points to an external script file through the src attribute.

Common uses for JavaScript are image manipulation, form validation, and dynamic changes of content.

Question 6 |

Consider the following languages:
L

_{1}= {a^{n}b^{n}c^{m}} ∪ {a^{n}b^{m}c^{m}}, n. m ≥ o L_{2}= {ωω^{R}|ω ∈ {a, b}*} Where R represents reversible operation. Which one of the following is (are) inherently ambiguous language(s)?only L _{1} | |

only L _{2} | |

both L _{1} and L_{2} | |

neither L _{1} nor L_{2} |

Question 6 Explanation:

A language is inherently ambiguous:

If for a language every existing grammar is ambiguous then that language is called inherently ambiguous language. By this definition of inherently ambiguous, we can conclude that for an inherently ambiguous language an equivalent unambiguous grammar can't be found.

There are several languages (special types ) which are inherently ambiguous.

For example : L= {a

The reason is : It is union of two languages {a

So it will have grammar

S-> A | B

A-> PQ

P->aPb | ab

Q-> cQ | c

B-> UV

U-> aU | a

V-> bVc | bc

Grammar A generates equal number of a's and b's and any number of c's

Grammar B generates equal number of b's and c's and any number of a's

So the strings which have equal numbers of a's, b's and c's can be generated by A or B

So for these strings we always have two parse trees.

Hence this language is ambiguous as we cannot make an unambiguous grammar for it.

If for a language every existing grammar is ambiguous then that language is called inherently ambiguous language. By this definition of inherently ambiguous, we can conclude that for an inherently ambiguous language an equivalent unambiguous grammar can't be found.

There are several languages (special types ) which are inherently ambiguous.

For example : L= {a

^{i}b^{j}c^{k}| i=j or c=k} is inherently ambiguousThe reason is : It is union of two languages {a

^{n}b^{n}c^{m}} U {a^{n}b^{m}c^{m}}So it will have grammar

S-> A | B

A-> PQ

P->aPb | ab

Q-> cQ | c

B-> UV

U-> aU | a

V-> bVc | bc

Grammar A generates equal number of a's and b's and any number of c's

Grammar B generates equal number of b's and c's and any number of a's

So the strings which have equal numbers of a's, b's and c's can be generated by A or B

So for these strings we always have two parse trees.

Hence this language is ambiguous as we cannot make an unambiguous grammar for it.

Question 7 |

Match List-I with List-II:

Choose the correct option from those given below:

Choose the correct option from those given below:

(a).(i), (b).(ii), (c).(iii), (d).(iv) | |

(a).(ii), (b).(i), (c).(iii), (d).(iv) | |

(a).(iv), (b).(iii), (c).(ii), (d).(i) | |

(a).(iii), (b).(iv), (c).(ii), (d).(i) |

Question 7 Explanation:

**Frame attribute**→ To specify the side of the table frame that display border

The < frame > tag defines one particular window (frame) within a < frameset >.

Each < frame > in a < frameset > can have different attributes, such as border, scrolling, the ability to resize, etc.

**< tr > tag**→ To enclose each row in a table.

The < tr > tag defines a row in an HTML table.

A < tr > element contains one or more or elements

**Valign attribute**→ for vertical alignment of content in cell

**< a > tag**→ To create link in HTML

Question 8 |

A network with a bandwidth of 10 Mbps can pass only an average of 12,000 frames per minute with each frame carrying an average of 10,000 bits. What is the throughput of this network?

1,000,000 bps | |

2,000,000 bps | |

12,000,000 bps | |

1,200,00,000 bps |

Question 8 Explanation:

Given data,

Bandwidth= 10 Mbps

Frames per minute=12000

Each frame per bits=10000

Throughput=?

Step-1: Here, they given each frame per minute. So, convert into seconds is

(12000*10000) / 60

Step-2: 120000000 / 60

= 2000000

It is nothing but 2Mbps

Bandwidth= 10 Mbps

Frames per minute=12000

Each frame per bits=10000

Throughput=?

Step-1: Here, they given each frame per minute. So, convert into seconds is

(12000*10000) / 60

Step-2: 120000000 / 60

= 2000000

It is nothing but 2Mbps

Question 9 |

If L is the regular language denoted by T= (w + x*)(ww)*, then the regular language h(L) is given by

(z x yy + xy) (z x yy) | |

(zxyy + (xzy)*) (zxyy zxyy)* | |

(zxyy + xyz) (zxyy)* | |

(zxyy + (xzy)* (zxyy zxyy) |

Question 10 |

A tree has 2n vertices of degree 1, 3n vertices of degree 2, n vertices of degree 3. Determine the number of vertices and edges in tree.

12.11 | |

11.12 | |

10.11 | |

9.10 |

Question 11 |

Given CPU time slice of 2ms and following list of processes.

Find average turnaround time and average waiting time using round robin CPU scheduling?

4.0 | |

5.66, 1.66 | |

5.66, 0 | |

7, 2 |

Question 11 Explanation:

Average Turnaround Time= (5+5+7)/3

= 5.66

Average Waiting Time= (2+1+2)/3

= 1.66

Question 12 |

Consider the following statements:

S

S

Which of the statements is (are) correct?

S

_{1}: If a group (G,*) is of order n, and a ∈ G is such that a^{m}= e for some integer m ≤ n, then m must divide n.S

_{2}: If a group (G,*) is of even order , then there must be an element and a ∈ G is such that a ≠ e and a * a = e.Which of the statements is (are) correct?

Only S _{1} | |

Only S _{2} | |

Both S _{1} and S_{2} | |

Neither S _{1} nor S_{2} |

Question 13 |

What is the worst case running time of Insert and Extract-min, in an implementation of a priority queue using an unsorted array? Assume that all insertions can be accommodated.

θ(1) , θ(n) | |

θ(n) , θ(1) | |

θ(1) , θ(1) | |

θ(n) , θ(n) |

Question 13 Explanation:

Insertion will remain the same for best,average and worst case time complexities. It will take a constant amount of time only.

Extract-Min will take θ(n) time for above conditions. The array is unsorted there is naturally no better algorithm than just linear search. Worst case performance for linear search is Θ(n)

Extract-Min will take θ(n) time for above conditions. The array is unsorted there is naturally no better algorithm than just linear search. Worst case performance for linear search is Θ(n)

Question 14 |

Consider the following statements:
S

_{1}: These exists no algorithm for deciding if any two Turning machine M_{1}and M_{2}accept the same language. S_{2}: Let M_{1}and M_{2}be arbitrary Turing machines. The problem to determine L(M_{1})⊆ L(M_{2})is undecidable. Which of the statements is (are) correct?Only S _{1} | |

Only S _{2} | |

Both S _{1} and S_{2} | |

Neither S _{1} nor S_{1} |

Question 14 Explanation:

Statement S1 is correct because equality problem of recursively enumerable languages is undecidable.

Statement S2 is correct because subset problem of recursively enumerable languages is undecidable.

Statement S2 is correct because subset problem of recursively enumerable languages is undecidable.

Question 15 |

Suppose a system has 12 magnetic tape drives and at time t

_{o}, three processes are allotted tape drives out of their need as given below: At time t_{o}, the system is in safe state. Which of the following is safe sequence so that deadlock is avoided?(p _{0}, p_{1}, p_{2}) | |

(p _{1}, p_{0}, p_{2}) | |

(p _{2}, p_{1}, p_{0}) | |

(p _{0}, p_{2}, p_{1}) |

Question 15 Explanation:

Out of Total 12 resources, 9 resources are allocated. So the remaining resources are 3. With 3 resources process P1 requirements can be fulfilled. So after that total resources will be 3+ resources allocated to P1(i.e. 3+2= 5)

Now process P0 requirement will be fulfilled. So after that total resources will be 5+ resources allocated to P0(i.e. 5+5=10)

Now process P2 requirement will be fulfilled. So after that total resources will be 10+ resources allocated to P2(i.e. 10+2=12)

Question 16 |

Let W

_{o}represents weight between node i at layer k and node j at layer (k – 1) of a given multilayer perceptron. The weight updation using gradient descent method is given by

Where α and E represents learning rate and Error in the output respectively?

Question 17 |

The reduced Instruction Set Computer (RISC) characteristics are:

(a) Single cycle instruction execution

(b) Variable length instruction formats

(c) Instructions that manipulates operands in memory

(d) Efficient instruction pipeline

Choose the correct characteristics from the options given below:

(a) Single cycle instruction execution

(b) Variable length instruction formats

(c) Instructions that manipulates operands in memory

(d) Efficient instruction pipeline

Choose the correct characteristics from the options given below:

(a) and (b) | |

(b) and (c) | |

(a) and (d) | |

(c) and (d) |

Question 17 Explanation:

__Common RISC characteristics__

→ Load/store architecture (also called register-register or RR architecture) which fetches operands and results indirectly from main memory through a lot of scalar registers. Other architecture is storage-storage or SS in which source operands and final results are retrieved directly from memory.

→ Fixed length instructions which (a) are easier to decode than variable length instructions, and (b) use fast, inexpensive memory to execute a larger piece of code. → Hardwired controller instructions (as opposed to microcoded instructions). This is where RISC really shines as hardware implementation of instructions is much faster and uses less silicon real estate than a microstore area.

→ Fused or compound instructions which are heavily optimized for the most commonly used functions.

→ Pipelined implementations with the goal of executing one instruction (or more) per machine cycle.

→ Large uniform register set

→ Minimal number of addressing modes

→ no/minimal support for misaligned accesses

__Characteristic of CISC__:

→ Complex instruction, hence complex instruction decoding.

→ Instruction are larger than one word size.

→ Instruction may take more than a single clock cycle to get executed.

→ Less number of general purpose register as operation get performed in memory itself.

→ Complex Addressing Modes.

→ More Data types.

Question 18 |

A microinstruction format has microoperation field which is divided into 2 subfields F1 and F2. Each having 15 distinct micro operations condition field CD for four status bits. Branch field BR having four options used in conjunction with address field AD. The address space is of 128 memory words. The size of micro instruction is

19 | |

18 | |

17 | |

20 |

Question 19 |

B-Tree, each node represents a disk block. Suppose one block holds 8192 bytes. Each key uses 32 bytes. In a B-tree of order M there are M – 1 keys. Since each branch is on another disk block, we assume a branch is of 4 bytes. The total memory requirement for a non-leaf node is

32 M – 32 | |