NDDC Scholarship Past Questions – Artificial Intelligence

NDDC Scholarship Past Questions And Answers – Artificial Intelligence PDF Download

The Niger Delta Development Commission (NDDC) is dedicated to promoting academic excellence and technological innovation, including the ever-evolving field of Artificial Intelligence (AI). As an aspiring recipient of the NDDC Scholarship in Artificial Intelligence, thorough preparation is essential. Leveraging past questions and answers is a strategic approach to understanding the examination format and content.

The NDDC Scholarship in Artificial Intelligence presents an exceptional opportunity for students to delve into the innovative world of AI and contribute to the advancements in this dynamic field. Leveraging the insights provided by past questions and answers is a strategic approach to preparing for the scholarship examination. By using these resources effectively, you can strengthen your knowledge base, refine your problem-solving skills, and increase your chances of securing the NDDC Scholarship in Artificial Intelligence. Invest your time and effort in comprehensive preparation to pave the way for a successful and fulfilling academic journey.

What Makes Our NDDC Scholarship Past Questions Stand Out?

1.Comprehensive Coverage: Our collection spans multiple years, ensuring that you’re well-prepared for any surprises the exam might throw your way.

2. Detailed Answers: Each question is accompanied by a comprehensive answer guide, allowing you to learn from your mistakes and reinforce your knowledge.

3. Exam-Relevant Content: Our team of experts has painstakingly compiled the most relevant topics and questions that align with the NDDC Scholarship exam syllabus.

About NDDC Scholarship Test Style and Format (Updated)

NDDC overseas scholarship test was conducted by Cinfores-Ltd, between 2010 and 2015. Since 2016, the tests are now conducted by MEIL (MARG Educational International Limited).

The test usually comprises of 2 sections –
1. General questions which everyone will have to sit, and
2. Discipline-based questions.
For example, candidates in Engineering and Science related disciplines could take a mix of science-based questions like maths, English, physics, and chemistry for part1, then discipline-specific questions for part2
2016 and 2017 tests contained more discipline-specific tests and English language tests as general papers. The test usually lasts between 30 to 60 minutes.

Sample Past Questions NDDC Scholarship Aptitude Test – for Artificial Intelligence

Question: What does the acronym “AI” stand for in the context of technology?
A Alternative Intelligence
B Artificial Indication
C Automated Interaction
D Artificial Intelligence
Answer D Artificial Intelligence

Question: Which of the following is an example of a machine learning algorithm used for classification tasks?
A K-means clustering
B Breadth-first search
C Depth-first search
D Decision tree
Answer: D Decision tree

Question: What is the primary purpose of a neural network in artificial intelligence?
A Speech recognition
B Data encryption
C Pattern recognition
D Text editing
Answer: C Pattern recognition

Question: What is the function of a genetic algorithm in AI?
A Learning from labeled data
B Simulating natural selection
C Conducting statistical analysis
D Performing data encryption
Answer: B Simulating natural selection

Question: Which type of learning algorithm is inspired by the way the human brain works?
A Reinforcement learning
B Supervised learning
C Unsupervised learning
D Deep learning
Answer: D Deep learning

Question: What is the primary objective of natural language processing (NLP) in AI?
A Speech synthesis
B Text summarization
C Speech recognition
D Language translation
Answer: D Language translation

Question: What is the purpose of an expert system in artificial intelligence?
A Generating random data
B Simulating human expertise
C Storing large datasets
D Analyzing network traffic
Answer: B Simulating human expertise

Question: Which of the following is a popular framework used for building deep learning models?
A TensorFlow
B JavaFX
C Django
D Flask
Answer: A Tensor Flow

Question: What is the main objective of a recommendation system in AI?
A Identifying anomalies in data
B Predicting future stock prices
C Providing personalized suggestions
D Analyzing social media trends
Answer: C Providing personalized suggestions

Question: Which of the following is a key feature of a chatbot in artificial intelligence?
A Generating random messages
B Performing complex calculations
C Simulating human conversation
D Sending automated emails
Answer: C Simulating human conversation

Question: What is the primary function of a decision tree in AI?
A Predicting future weather patterns
B Identifying potential cybersecurity threats
C Mapping out possible outcomes based on input data
D Generating random sequences of numbers
Answer: C Mapping out possible outcomes based on input data

Question: Which type of AI system is capable of learning from its mistakes and improving its performance over time?
A Rule-based system
B Machine learning system
C Expert system
D Self-learning system
Answer: B Machine learning system

Question: What is the primary purpose of a convolutional neural network (CNN) in AI?
A Processing sequential data
B Handling unstructured data
C Performing image recognition tasks
D Analyzing time-series data
Answer: C Performing image recognition tasks

Question: Which of the following is an example of an unsupervised learning algorithm?
A Linear regression
B Support vector machine
C K-means clustering
D Random forest
Answer: C K-means clustering

Question: What is the main function of a recurrent neural network (RNN) in AI?
A Processing structured data
B Handling tabular data
C Analyzing time-series data
D Performing sentiment analysis
Answer: C Analyzing time-series data

Question: What is the primary goal of reinforcement learning in AI?
A Emulating human behavior
B Optimizing search results
C Maximizing cumulative rewards
D Generating creative content
Answer: C Maximizing cumulative rewards

Question: Which of the following is an example of a supervised learning algorithm?
A K-nearest neighbors
B Principal component analysis
C Apriori algorithm
D Hierarchical clustering
Answer: A K-nearest neighbors

Question: What is the function of a Markov decision process (MDP) in AI?
A Performing sentiment analysis
B Handling tabular data
C Modeling decision-making processes
D Analyzing network traffic
Answer: C Modeling decision-making processes

Question: Which type of AI system is designed to understand and interpret human emotions?
A Emotional intelligence system
B Sentiment analysis system
C Facial recognition system
D Natural language understanding system
Answer: A Emotional intelligence system

Question: What is the purpose of a Bayesian network in artificial intelligence?
A Simulating natural language
B Handling unstructured data
C Analyzing probabilistic relationships
D Processing sequential data
Answer: C Analyzing probabilistic relationships