Practice Library
All MCQs
Browse exam-wise, subject-wise, and country-wise MCQs with explanations.
Choose an option to check your answer.
A.
Dividing a dataset into smaller pieces distributed across storage or workers
B.
Creating identical copies only
C.
Converting data to a graph
D.
Removing all duplicate records
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Correct Answer: A. Dividing a dataset into smaller pieces distributed across storage or workers
Explanation:
Partitioning allows multiple nodes to process different subsets concurrently.
Choose an option to check your answer.
A.
The ability to compress every file
B.
The requirement to keep cluster size fixed
C.
The use of one programming language only
D.
The ability to add or remove resources as demand changes
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Correct Answer: D. The ability to add or remove resources as demand changes
Explanation:
Elastic systems adjust capacity dynamically or on demand.
Choose an option to check your answer.
A.
The ability to avoid all software updates
B.
The use of only fixed-size data
C.
The ability to handle increased load by adding resources
D.
The removal of all network communication
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Correct Answer: C. The ability to handle increased load by adding resources
Explanation:
A scalable system maintains acceptable performance as data or users grow.
Choose an option to check your answer.
A.
The delay for one request only
B.
The amount of data or work processed per unit time
C.
The number of data types
D.
The amount of unused storage
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Correct Answer: B. The amount of data or work processed per unit time
Explanation:
Throughput measures processing capacity over time.
Choose an option to check your answer.
A.
The time between submitting or receiving data and obtaining a result
B.
The total number of records processed
C.
The number of cluster nodes
D.
The size of a compressed file
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Correct Answer: A. The time between submitting or receiving data and obtaining a result
Explanation:
Latency measures responsiveness.
Choose an option to check your answer.
A.
Offline archival only
B.
Manual spreadsheet processing
C.
Static report formatting
D.
Stream processing
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Correct Answer: D. Stream processing
Explanation:
Stream processing evaluates events as they arrive or in short windows.
Choose an option to check your answer.
A.
Interactive animation
B.
Single-record manual entry
C.
Batch processing
D.
Real-time gaming graphics
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Correct Answer: C. Batch processing
Explanation:
Batch systems process bounded collections of data in large jobs.
Choose an option to check your answer.
A.
Processing one record after another only
B.
Executing multiple operations at the same time
C.
Copying files without computation
D.
Serializing every task onto one thread
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Correct Answer: B. Executing multiple operations at the same time
Explanation:
Parallelism reduces completion time by using multiple processing units concurrently.
Choose an option to check your answer.
A.
Coordinating computation across multiple networked machines
B.
Running every task in one process
C.
Storing data only in spreadsheets
D.
Using a single CPU core
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Correct Answer: A. Coordinating computation across multiple networked machines
Explanation:
Distributed computing divides work among nodes and combines their results.
Choose an option to check your answer.
A.
A single database table
B.
A collection of chart categories
C.
A compression format
D.
A group of networked machines working together
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Correct Answer: D. A group of networked machines working together
Explanation:
Cluster nodes cooperate to store data and execute distributed tasks.
Choose an option to check your answer.
A.
No component can ever fail
B.
All tasks must run on one machine
C.
The system can continue operating despite some component failures
D.
Every record is processed exactly once automatically
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Correct Answer: C. The system can continue operating despite some component failures
Explanation:
Commodity hardware failures are expected in large clusters.
Choose an option to check your answer.
A.
It guarantees perfect data quality
B.
Moving computation near the data reduces network transfer
C.
It removes the need for replication
D.
It converts unstructured data into tables
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Correct Answer: B. Moving computation near the data reduces network transfer
Explanation:
Large datasets are expensive to move across a network.
