**What is the main goal of parallel algorithms in distributed computing? **

a. Minimizing communication overhead

b. Ignoring computational efficiency

c. Maximizing sequential processing

d. Reducing hardware diversity

Answer: a

**Which type of parallelism involves breaking down a large task into smaller independent subtasks?**

a. Task parallelism

b. Data parallelism

c. Instruction parallelism

d. Pipeline parallelism

Answer: a

**What does Amdahl’s Law quantify in parallel computing?**

a. Communication overhead

b. Speedup achievable by parallel processing

c. Hardware diversity

d. Sequential processing efficiency

Answer: b

**In distributed computing, what is the purpose of the MapReduce algorithm?**

a. Load balancing

b. Fault tolerance

c. Task parallelism

d. Data parallelism

Answer: d

**Which algorithmic design approach focuses on minimizing the need for communication between distributed nodes?**

a. Divide and conquer

b. Greedy algorithms

c. Message passing

d. Bulk synchronous parallelism

Answer: a

**What is the primary advantage of using randomized algorithms in parallel computing?**

a. Deterministic behavior

b. Improved fault tolerance

c. Simplicity of implementation

d. Load balancing

Answer: b

**In parallel sorting algorithms, what is a common approach to achieve parallelism?**

a. Bubble sort

b. Merge sort

c. QuickSort

d. Bucket sort

Answer: c

**Which algorithm is commonly used for solving problems in the P-complete complexity class in parallel computing?**

a. Dijkstra’s algorithm

b. Bellman-Ford algorithm

c. Floyd-Warshall algorithm

d. Traveling Salesman Problem (TSP)

Answer: c

**In parallel graph algorithms, what does the “graph coloring” technique aim to achieve?**

a. Minimize communication overhead

b. Optimize load balancing

c. Identify connected components

d. Assign colors to vertices with common neighbors

Answer: d

**Which parallel algorithm is commonly used for solving linear systems of equations?**

a. Jacobi method

b. Gauss-Seidel method

c. Conjugate Gradient method

d. Newton-Raphson method

Answer: c

**What is the primary focus of the Bulk Synchronous Parallel (BSP) model in algorithm design?**

a. Minimizing task parallelism

b. Simplifying communication patterns

c. Ignoring fault tolerance

d. Sequential processing efficiency

Answer: b

**Which algorithmic paradigm is commonly used for solving problems that can be divided into subproblems of the same type?**

a. Divide and conquer

b. Dynamic programming

c. Greedy algorithms

d. Backtracking

Answer: a

**In distributed hash tables (DHTs), what is the primary purpose of the Chord algorithm?**

a. Load balancing

b. Fault tolerance

c. Data parallelism

d. Task parallelism

Answer: a

**What does the term “embarrassingly parallel” refer to in the context of parallel algorithms?**

a. Problems that are inherently sequential

b. Problems with high communication overhead

c. Problems that can be easily divided into independent tasks

d. Problems that are computationally complex

Answer: c

**In parallel algorithm design, what is the primary concern addressed by the work-stealing technique?**

a. Load balancing

b. Fault tolerance

c. Task parallelism

d. Data parallelism

Answer: a

**Which algorithmic approach is suitable for solving problems with optimal substructure and overlapping subproblems?**

a. Divide and conquer

b. Greedy algorithms

c. Dynamic programming

d. Backtracking

Answer: c

**What is the primary advantage of using parallel prefix algorithms (scan) in parallel computing?**

a. Minimizing communication overhead

b. Achieving data parallelism

c. Optimizing load balancing

d. Reducing sequential processing

Answer: b

**In parallel computing, what does the term “superstep” refer to in the context of the Bulk Synchronous Parallel (BSP) model?**

a. Communication phase

b. Synchronization point

c. Task parallelism

d. Data parallelism

Answer: b

**Which parallel algorithm is commonly used for solving problems in the PSPACE complexity class?**

a. Monte Carlo method

b. Quicksort

c. Breadth-First Search (BFS)

d. Polynomial hierarchy

Answer: c

**In parallel computing, what is the purpose of the Butterfly Network in the context of interconnection networks?**

a. Achieving data parallelism

b. Minimizing communication overhead

c. Optimizing load balancing

d. Task parallelism

Answer: b

**Which algorithmic technique is commonly used for solving optimization problems by iteratively improving candidate solutions?**

a. Divide and conquer

b. Greedy algorithms

c. Dynamic programming

d. Local search algorithms

Answer: d

**In parallel computing, what does the term “granularity” refer to in the context of parallel algorithms?**

a. Task size

b. Communication overhead

c. Load balancing

d. Data parallelism

Answer: a

**Which algorithm is commonly used for finding the strongly connected components in a directed graph?**

a. Dijkstra’s algorithm

b. Bellman-Ford algorithm

c. Kosaraju’s algorithm

d. Prim’s algorithm

Answer: c

**What is the primary objective of the Hadoop Distributed File System (HDFS) in distributed computing?**

a. Minimizing communication overhead

b. Optimizing load balancing

c. Achieving fault tolerance

d. Reducing hardware diversity

Answer: c

**In parallel computing, what does the term “blocking” refer to in the context of communication patterns?**

a. Minimizing communication overhead

b. Optimizing load balancing

c. Task parallelism

d. Data parallelism

Answer: a

**Which algorithmic approach is commonly used for solving problems by recursively breaking them into smaller instances?**

a. Divide and conquer

b. Greedy algorithms

c. Dynamic programming

d. Backtracking

Answer: a

**What is the primary purpose of the Parallel Prefix Sum algorithm (Scan) in parallel computing?**

a. Achieving data parallelism

b. Optimizing load balancing

c. Minimizing communication overhead

d. Reducing sequential processing

Answer: c

**In parallel computing, what does the term “speedup” represent?**

a. The reduction in communication overhead

b. The improvement in sequential processing efficiency

c. The increase in computational resources

d. The ratio of the time taken on a single processor to the time taken on multiple processors

Answer: d

**Which algorithmic approach focuses on making locally optimal choices at each stage with the hope of finding a global optimum?**

a. Divide and conquer

b. Greedy algorithms

c. Dynamic programming

d. Local search algorithms

Answer: b

**What is the primary purpose of the Breadth-First Search (BFS) algorithm in parallel computing?**

a. Achieving data parallelism

b. Minimizing communication overhead

c. Optimizing load balancing

d. Task parallelism

Answer: d

## Read More MCQs on Parallel and Distributed Computing

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