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All MCQs
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Choose an option to check your answer.
A.
Each node has its own processor, memory, and storage and communicates over a network
B.
All nodes use one central memory bus
C.
Every node stores only metadata
D.
The system runs on a single mainframe
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Correct Answer: A. Each node has its own processor, memory, and storage and communicates over a network
Explanation:
Shared-nothing systems avoid a single shared hardware bottleneck.
They scale by partitioning data and work across independent nodes.
Choose an option to check your answer.
A.
Adding more cluster nodes
B.
Dividing data into more files only
C.
Replicating every record across the internet
D.
Increasing the resources of a single machine
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Correct Answer: D. Increasing the resources of a single machine
Explanation:
Vertical scaling upgrades CPU, memory, or storage on one server.
It is simpler but eventually reaches hardware and cost limits.
Choose an option to check your answer.
A.
Adding more memory to one machine only
B.
Reducing the number of data partitions
C.
Adding more machines to distribute storage or computation
D.
Replacing distributed processing with manual analysis
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Correct Answer: C. Adding more machines to distribute storage or computation
Explanation:
Horizontal scaling expands a cluster by adding nodes.
It is a core design principle of many Big Data platforms.
Choose an option to check your answer.
A.
Variety
B.
Value
C.
Volume
D.
Volatility
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Correct Answer: B. Value
Explanation:
Value concerns whether analysis leads to meaningful decisions or benefits.
Large data alone is not useful unless it supports a real objective.
Choose an option to check your answer.
A.
Veracity
B.
Velocity
C.
Value
D.
Volume
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Correct Answer: A. Veracity
Explanation:
Veracity reflects the trustworthiness and quality of data.
Cleaning, validation, and provenance help manage this challenge.
Choose an option to check your answer.
A.
Volume
B.
Veracity
C.
Visualization
D.
Variety
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Correct Answer: D. Variety
Explanation:
Variety captures differences in format, schema, and media type.
Examples include tables, logs, JSON, images, and text.
Choose an option to check your answer.
A.
Volume
B.
Value
C.
Velocity
D.
Variability
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Correct Answer: C. Velocity
Explanation:
Velocity concerns data generation, ingestion, and response speed.
Streaming systems are often used when low-latency processing is required.
Choose an option to check your answer.
A.
Velocity
B.
Volume
C.
Variety
D.
Veracity
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Correct Answer: B. Volume
Explanation:
Volume describes the scale of a dataset.
Large volume motivates distributed storage and parallel processing.
Choose an option to check your answer.
A.
The data volume, velocity, or complexity can exceed one machine's storage or processing capacity
B.
Big Data never contains structured records
C.
Single machines cannot run any algorithms
D.
Traditional tools cannot store numeric values
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Correct Answer: A. The data volume, velocity, or complexity can exceed one machine's storage or processing capacity
Explanation:
Big Data systems distribute storage and computation across multiple machines.
This allows workloads to scale beyond the limits of one server.
Choose an option to check your answer.
A.
Maximizing complexity regardless of use
B.
Eliminating all human oversight
C.
Using accuracy as the only criterion
D.
Developing models that are fair, explainable, private, and robust
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Correct Answer: D. Developing models that are fair, explainable, private, and robust
Explanation:
Modern systems must perform well while respecting social and operational constraints.
Research increasingly addresses bias, transparency, privacy, security, and distribution shift.
Choose an option to check your answer.
A.
It guarantees the best algorithm
B.
It removes the need for data
C.
It records preprocessing, modeling, and evaluation steps for verification
D.
It prevents every software error
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Correct Answer: C. It records preprocessing, modeling, and evaluation steps for verification
Explanation:
A scripted pipeline can be rerun, reviewed, and updated consistently.
This supports collaboration and reliable deployment.
Choose an option to check your answer.
A.
Using Python libraries
B.
Using personal data beyond users' reasonable expectations or consent
C.
Computing graph degree
D.
Applying cross-validation
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Correct Answer: B. Using personal data beyond users' reasonable expectations or consent
Explanation:
Online data can be technically accessible yet still sensitive.
Responsible mining requires privacy protection, purpose limitation, and governance.