Showing 2001–2020 of 4795

Q2001.Which neural network type is 'autoencoder' primarily used for?

Easy
A Cryptography
B Classification labels
C Unsupervised dimensionality reduction and reconstruction
D Path finding
Computer Terminology PPSC

Correct Answer: C

Autoencoders are unsupervised neural networks designed to learn efficient data codings (compression) and reconstruct inputs.

Q2002.What does 'NER' stand for in NLP?

Easy
A Neural Encoding Routine
B Network Error Rate
C Named Entity Recognition
D Numeric Entry Record
Computer Networks PPSC

Correct Answer: C

Named Entity Recognition (NER) is an NLP task that identifies and classifies key entities (like names, organizations, or dates) in unstructured text.

Q2003.Which company developed 'Grok', a conversational AI chatbot?

Easy
A IBM
B Meta
C xAI
D Google
Computer Terminology PPSC

Correct Answer: C

Grok is an AI chatbot developed by Elon Musk's research startup xAI, integrated with real-time web access.

Q2004.In AI ethics, 'accountability' means?

Easy
A Having larger datasets
B Enabling faster computing
C Hiding decisions
D Being answerable for AI system actions and outcomes
Computer Terminology PPSC

Correct Answer: D

Accountability ensures that the designers, operators, and organizations behind AI models remain responsible for their actions and failures.

Q2005.What is 'prompt engineering'?

Easy
A Cleaning system hardware
B Designing and optimizing effective input texts for AI models
C Building hardware CPUs
D Encrypting prompts
Computer Terminology PPSC

Correct Answer: B

Prompt engineering is the strategic craft of authoring inputs to guide generative AI models toward high-quality, targeted outputs.

Q2006.Which of the following is a primary benefit of Explainable AI (XAI)?

Easy
A Increasing dataset bias
B Removing model accuracy
C Making AI decisions transparent, interpretable, and understandable
D Hiding internal logic
Computer Terminology PPSC

Correct Answer: C

Explainable AI (XAI) refers to methods and techniques that make machine learning model decisions transparent and easily interpretable by human operators.

Q2007.What does a 'decision tree' use to split data at each node?

Easy
A Encryption keys
B Audio signals
C Random pixels
D Features and threshold values
Computer Security PPSC

Correct Answer: D

Decision trees recursively split datasets into subsets based on feature values and logical thresholds that maximize information gain.

Q2008.Which AI/ML technique is traditionally and commonly used for spam email detection?

Easy
A 3D rendering
B Path planning
C Image segmentation
D Naive Bayes classification
Internet Services & Communication PPSC

Correct Answer: D

Naive Bayes is a classic, probabilistic classifier widely used for text classification, such as sorting spam from legitimate emails.

Q2009.What is 'fine-tuning' a language model?

Easy
A Deleting internal weights
B Translating source code
C Building hardware processors
D Further training a pre-trained model on domain-specific data
Computer Networks PPSC

Correct Answer: D

Fine-tuning adapts a massive pre-trained model (like GPT-4) to a specialized field or task by training it further on narrow, targeted datasets.

Q2010.Which of the following represents a supervised learning task?

Easy
A Anomaly grouping
B Dimensionality reduction
C Clustering customers
D Predicting house prices from labeled training data
Computer Basics PPSC

Correct Answer: D

Predicting numeric values (regression) or class labels using historical, labeled input-output pairs is a classic supervised learning task.

Q2011.What is the main idea of 'few-shot learning'?

Easy
A Training with millions of samples
B Learning or performing tasks from only a handful of examples
C No training data needed at all
D Only using image datasets
Computer Basics PPSC

Correct Answer: B

Few-shot learning allows an AI model to recognize patterns or execute tasks after seeing only a very limited number of demonstrations.

Q2012.Which structure stores 'if-then' rules in a classic rule-based expert system?

Easy
A Pixel map
B Rule base
C Stack frame
D Audio buffer
Computer Basics PPSC

Correct Answer: B

Rule-based systems store domain knowledge as 'if-then' conditional rules inside a component called the rule base.

Q2013.What does 'CV' commonly stand for in the context of Artificial Intelligence?

Easy
A Computer Vision
B Code Validation
C Central Variable
D Cluster Value
Computer Terminology PPSC

Correct Answer: A

CV stands for Computer Vision, which is the scientific subfield of AI enabling machines to process and understand visual media.

Q2014.Which of the following best defines 'big data'?

Easy
A Single high-resolution images
B Small office spreadsheets
C Extremely large, rapid, and complex datasets beyond traditional tools
D Short plain-text files
General MCQs PPSC

Correct Answer: C

Big data refers to data collections characterized by immense volume, high velocity, and extreme variety that exceed traditional RDBMS processing capacities.

Q2015.The three V's of big data are Volume, Velocity, and?

Easy
A Virus
B Voltage
C Vector
D Variety
Computer Security PPSC

Correct Answer: D

The classic foundational three V's of big data are Volume (size), Velocity (speed of generation), and Variety (data formats).

Q2016.Which AI method groups similar customers or data points together without predefined labels?

Easy
A Classification
B Regression
C Backpropagation
D Clustering
Computer Terminology PPSC

Correct Answer: D

Clustering is a classic unsupervised learning technique used to group unlabeled data points into distinct, homogeneous clusters.

Q2017.What is the function of a 'softmax' activation layer in a classification neural network?

Easy
A Add random noise
B Reduce image dimensions
C Encrypt output data
D Convert raw model scores (logits) into a probability distribution summing to 1
Computer Terminology PPSC

Correct Answer: D

Softmax squashes an n-dimensional vector of raw scores into a vector of probability values, enabling multi-class classification.

Q2018.Which AI concept allows deep learning models to dynamically focus on the most relevant parts of an input sequence?

Easy
A Imputation
B Pooling
C Attention mechanism
D Padding
Computer Terminology PPSC

Correct Answer: C

The attention mechanism (and self-attention) allows models to dynamically weight input parts based on context, forming the backbone of Transformers.

Q2019.An investigator uses AI to analyze computer drives, recover deleted chat logs, and detect tampering. This is best categorized as?

Easy
A Generative AI
B AI-assisted digital forensics
C Path planning
D Robotics
Computer Terminology PPSC

Correct Answer: B

AI-assisted digital forensics leverages advanced machine learning to accelerate, process, and inspect digital evidence in forensic investigations.

Q2020.Which AI capability would best help investigators detect deepfake videos used in financial fraud?

Easy
A Spam filtering
B Word tokenization
C Deepfake detection via Computer Vision
D BFS search
Computer Terminology PPSC

Correct Answer: C

Computer Vision-based deepfake detection models inspect video frames for microscopic biological, artifact, or blending anomalies to uncover synthesized/manipulated faces.