Distributed graph algorithms MCQs
What is the primary goal of distributed graph algorithms?
a. Minimizing hardware diversity
b. Efficiently processing data on a single node
c. Optimizing load balancing
d. Solving problems on graphs distributed across multiple nodes
Answer: d
In distributed graph algorithms, what does the term “vertex-centric” refer to?
a. Focusing on hardware diversity
b. Processing vertices independently
c. Ignoring fault tolerance
d. Minimizing communication overhead
Answer: b
Which algorithm is commonly used for finding the shortest paths in a distributed graph?
a. Depth-First Search (DFS)
b. Breadth-First Search (BFS)
c. Dijkstra’s algorithm
d. Prim’s algorithm
Answer: c
What is the primary purpose of the MapReduce algorithm in distributed graph processing?
a. Load balancing
b. Fault tolerance
c. Task parallelism
d. Data parallelism
Answer: d
In distributed graph algorithms, what is the significance of the “communication cost”?
a. The cost of hardware diversity
b. The cost of load balancing
c. The overhead of communication between nodes
d. The efficiency of parallel processing
Answer: c
What role does the Bulk Synchronous Parallel (BSP) model play in distributed graph algorithms?
a. Minimizing communication overhead
b. Synchronizing computation and communication
c. Maximizing fault tolerance
d. Ignoring load balancing
Answer: b
In distributed graph algorithms, what does the term “neighborhood” refer to?
a. The set of vertices in the graph
b. The communication cost between nodes
c. The hardware diversity of the system
d. The set of vertices adjacent to a particular vertex
Answer: d
Which algorithm is commonly used for detecting cycles in a distributed graph?
a. Depth-First Search (DFS)
b. Breadth-First Search (BFS)
c. Floyd-Warshall algorithm
d. Kruskal’s algorithm
Answer: a
In distributed graph algorithms, what does the term “edge-centric” refer to?
a. Focusing on hardware diversity
b. Processing edges independently
c. Ignoring fault tolerance
d. Minimizing communication overhead
Answer: b
What is the primary objective of the PageRank algorithm in distributed graph processing?
a. Detecting cycles in the graph
b. Finding the shortest paths
c. Ranking the importance of vertices in a graph
d. Optimizing load balancing
Answer: c
In distributed graph algorithms, what is the purpose of the “superstep” in the Bulk Synchronous Parallel (BSP) model?
a. Communicating between nodes
b. Synchronizing computation and communication
c. Minimizing fault tolerance
d. Ignoring load balancing
Answer: b
Which algorithm is commonly used for finding the connected components in a distributed graph?
a. Depth-First Search (DFS)
b. Breadth-First Search (BFS)
c. Union-Find algorithm
d. Dijkstra’s algorithm
Answer: c
In distributed graph algorithms, what is the significance of the “master node”?
a. The node with the most hardware diversity
b. The node responsible for load balancing
c. The central node coordinating the distributed computation
d. The node with the highest fault tolerance
Answer: c
What is the primary purpose of the Giraph framework in distributed graph processing?
a. Load balancing
b. Fault tolerance
c. Task parallelism
d. Implementing vertex-centric algorithms
Answer: d
In distributed graph algorithms, what does the term “graph partitioning” refer to?
a. Separating vertices from edges
b. Dividing the graph into subgraphs for parallel processing
c. Minimizing hardware diversity
d. Ignoring load balancing
Answer: b
Which algorithm is commonly used for finding the minimum spanning tree in a distributed graph?
a. Depth-First Search (DFS)
b. Breadth-First Search (BFS)
c. Kruskal’s algorithm
d. Dijkstra’s algorithm
Answer: c
In distributed graph algorithms, what is the role of the “halting condition”?
a. Determining the optimal load balancing
b. Specifying the hardware diversity of the system
c. Indicating when the computation is complete
d. Ignoring fault tolerance
Answer: c
What is the primary focus of the GraphLab framework in distributed graph processing?
a. Load balancing
b. Fault tolerance
c. Task parallelism
d. Implementing vertex-centric and edge-centric algorithms
Answer: d
In distributed graph algorithms, what does the term “asynchronous processing” refer to?
a. Simultaneous computation and communication
b. Sequential computation without communication
c. Minimizing fault tolerance
d. Ignoring load balancing
Answer: a
Which algorithm is commonly used for finding the strongly connected components in a distributed graph?
a. Depth-First Search (DFS)
b. Breadth-First Search (BFS)
c. Kosaraju’s algorithm
d. Kruskal’s algorithm
Answer: c
In distributed graph algorithms, what does the term “message passing” refer to?
a. The exchange of information between vertices
b. The optimization of load balancing
c. Minimizing hardware diversity
d. Ignoring fault tolerance
Answer: a
What is the primary focus of the Pregel framework in distributed graph processing?
a. Load balancing
b. Fault tolerance
c. Task parallelism
d. Implementing vertex-centric algorithms
Answer: d
In distributed graph algorithms, what is the purpose of the “message combiner”?
a. Minimizing fault tolerance
b. Reducing hardware diversity
c. Optimizing load balancing
d. Aggregating messages to reduce communication overhead
Answer: d
Which algorithm is commonly used for finding the articulation points in a distributed graph?
a. Depth-First Search (DFS)
b. Breadth-First Search (BFS)
c. Tarjan’s algorithm
d. Prim’s algorithm
Answer: c
In distributed graph algorithms, what does the term “graph pruning” refer to?
a. The removal of vertices with high fault tolerance
b. The optimization of load balancing
c. Minimizing hardware diversity
d. Eliminating unnecessary vertices and edges to reduce computation
Answer: d
What is the primary purpose of the Apache Flink Gelly library in distributed graph processing?
a. Load balancing
b. Fault tolerance
c. Task parallelism
d. Implementing graph algorithms
Answer: d
In distributed graph algorithms, what does the term “graph traversal” refer to?
a. The exchange of information between vertices
b. Sequential computation without communication
c. Navigating through the vertices and edges of the graph
d. Ignoring load balancing
Answer: c
What is the primary focus of the Apache Giraph framework in distributed graph processing?
a. Load balancing
b. Fault tolerance
c. Task parallelism
d. Implementing vertex-centric algorithms
Answer: d
In distributed graph algorithms, what is the purpose of the “aggregator”?
a. Minimizing fault tolerance
b. Reducing hardware diversity
c. Optimizing load balancing
d. Aggregating global information during computation
Answer: d
Which algorithm is commonly used for finding the maximum flow in a distributed graph?
a. Depth-First Search (DFS)
b. Breadth-First Search (BFS)
c. Edmonds-Karp algorithm
d. Kruskal’s algorithm
Answer: c
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