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SOFTWARE ENGINEER - PITB Complete Preparation Guide & Solved Questions (2026) - Apex Rankers
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Instructions / Reading Passage
11 Questions in this set
COMPUTER APTITUDE TEST (Basic Computer Knowledge): Write the correct answer for the provided multiple-choice questions involving expert systems, industrial computer applications (POS, CIM, Actuarial accounting), and management information system (MIS) modeling.
Q. 1
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
Expert systems are part of the general area of research known as
A
AI
✓ Correct
B
ES
C
STUDENT
D
RAND
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Artificial Intelligence (AI) is the broad field that encompasses the development of expert systems.
Q. 2
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
In the future, users of a computer system may identify themselves by entering a:
A
Hard print
B
Soft print
C
Voice print
✓ Correct
D
Digital
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Biometric identification methods include voice recognition (voice prints) for user authentication.
Q. 3
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
The most prominent system in the retail sales industry is the ________ system:
A
POS (point-of-scale)
✓ Correct
B
COBOL
C
ACM
D
PC/XT
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Point of Sale systems are standard for managing transactions and inventory in retail.
Q. 4
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
The integration of the computer with manufacturing is called CIM or
A
CAM
B
CAD
C
Computer manufacturing
✓ Correct
D
All the above
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Computer Integrated Manufacturing (CIM) refers to the full automation of a manufacturing facility.
Q. 5
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
A ________ purpose computer is designed for a specific application:
A
Special
✓ Correct
B
Analog
C
Hybrid
D
Digital
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Special-purpose computers are built to perform one specific set of tasks or applications.
Q. 6
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
Actuarial accounting system is associated with the ________ industry:
A
Insurance
✓ Correct
B
Reliable
C
Consistent
D
Exhaustive
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Actuarial science is primarily used by the insurance industry to assess risk and uncertainty.
Q. 7
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
A variable that has no physical meaning and is used to obtain an initial basic feasible solution to a linear programming problem is known as:
A
Basis
B
Algorithm
C
Artificial variable
✓ Correct
D
Basic variable
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
In linear programming, artificial variables are used to facilitate finding an initial feasible solution.
Q. 8
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
QUB is an example of ________ systems:
A
Problem-solving
B
Inventory
C
Electronic shopping
✓ Correct
D
Algebra
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
QUB (historically standing for Queen's University Belfast Electronic Shopping System experiment or similar early regional academic network paradigms referenced in localized commerce and MIS curriculums) is categorized as an early or specialized example of an Electronic shopping system or transactional network.
Q. 9
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
Slack is the calculated time span within which the event must occur:
A
True
✓ Correct
B
False
C
Cannot be said
D
All the above
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Slack in project management represents the amount of time a task can be delayed without affecting the deadline.
Q. 10
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
The latest time that the event can be delayed without delaying the completion of the entire project in PERT chart is:
A
Earliest allowable time
B
Latest allowable time
✓ Correct
C
Earliest pass
D
Latest pass
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
This term defines the absolute deadline for a specific node in a PERT network.
Q. 11
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
Anthony suggested that the area of management planning and control be segmented into:
A
Operational control
B
Strategic planning
C
Management control
D
All of the above
✓ Correct
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Anthony's framework includes Strategic Planning, Management Control, and Operational Control.
📜
Instructions / Reading Passage
14 Questions in this set
SYSTEMS AND DECISION-MAKING: Solve questions regarding transaction processing, data collection terminals, operations research history, and the files required for receiving and engineering control systems.
Q. 12
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
Which of the following does not fall in the personal Decision-Making Area?
A
Pay-rolls
B
Cash flow analysis
✓ Correct
C
Income-tax assessment and recovery
D
Person's experience
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Cash flow analysis is typically an organizational or corporate financial function rather than personal.
Q. 13
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
How much should an organisation spend for information can be determined by some type of a:
A
Cost analysis
B
Benefit analysis
C
Cost-benefit analysis
✓ Correct
D
Any of the above
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Organisations weigh the cost of data acquisition against the value/benefit it provides.
Q. 14
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
A transportation problem in which the total supply available at the origins exactly satisfies the total demand required at the destinations is known as:
A
Degenerate solution
B
Balanced transportation problem
✓ Correct
C
Unbalanced transportation problem
D
All the above
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
A "Balanced" problem occurs when total supply equals total demand.
Q. 15
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
Operations Research came into being due to:
A
Medical reasons
B
Military reasons
✓ Correct
C
Educational reasons
D
To improve transpiration
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Operations Research originated for tactical and logistical planning during World War II.
Q. 16
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
The funds management subsystems attempts to:
A
Increase cash input
B
Decrease cash output
C
Balance cash inflow with outflow
✓ Correct
D
All the above
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Effective funds management ensures liquidity by matching timing of inflows and outflows.
Q. 17
Computer Aptitude Test
Difficulty: Medium
(1 Mark)
A turnaround document can be a(n):
A
Punched card
B
OCR document
C
Neither nor (b)
✓ Correct
D
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Based on the specific classification of turnaround documents in the source answer key.
Q. 18
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
In the financial Decision-Making system which of the following is not a transaction processing system input:
A
Cash receipts
B
Cash returns
C
Cash issues
D
Warehouse requisition ship
✓ Correct
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Requisition slips are inventory/logistics inputs rather than direct financial transaction inputs.
Q. 19
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
Header labels contain:
A
Creation data
✓ Correct
B
Control totals
C
Both and (b)
D
Either nor (b)
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
File headers typically store metadata such as the creation date and file ID.
Q. 20
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
Detected money errors are corrected with:
A
Debit entries
B
Credit entries
C
Both and (b)
✓ Correct
D
Neither nor (b)
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Adjustments for errors require offsetting debit or credit entries depending on the nature of the error.
Q. 21
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
The model base contains programs:
A
Written by the firm's programmers
B
Provided by the computer vendor
C
Purchased from outside firms, such as software houses
D
All of the above
✓ Correct
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
A Decision Support System's model base can incorporate software from various origins.
Q. 22
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
Management has become more complex because:
A
There is less time to react to competitive actions
B
The equipment used in many of the firm's activities has become more complex
C
Firms have become larger
D
All of the above
✓ Correct
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Global competition, technological complexity, and organizational scale contribute to management difficulty.
Q. 23
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
What data most likely would not be keyed into the order entry subsystem?
A
Item quantity
B
Customer number
C
Item number
D
Item cost
✓ Correct
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Costs are usually master data retrieved from a file rather than manually keyed per order.
Q. 24
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
The engineering change control system makes changes in the:
A
Operations file
✓ Correct
B
Production schedule
C
Work force data
D
All the above
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Design changes directly impact the steps and specifications in the operations file.
Q. 25
Computer Aptitude Test
Difficulty: Hard
(1 Mark)
Corporate modeling software can be used for:
A
Cash planning
B
Operational budgeting
C
Capital budgeting
D
All the above
✓ Correct
E
None of the above
💡
Step-by-Step Explanation & Concept Rationale
Modeling software assists in various strategic and operational planning tasks.
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Q. 1
Artificial Intelligence
Difficulty: Hard
(1 Mark)
In linear regression, what fundamental assumption is violated when the variance of the residuals is not constant across all levels of the independent variables?
A
Homoscedasticity (resulting in Heteroscedasticity)
✓ Correct
B
Multicollinearity
C
Normality of features
D
Linear independence of predictors
💡
Step-by-Step Explanation & Concept Rationale
Heteroscedasticity occurs when error terms have non-constant variance, leading to inefficient OLS coefficient standard error estimates.
Q. 2
Artificial Intelligence
Difficulty: Medium
(1 Mark)
Which regularization technique adds a penalty equal to the sum of the absolute values of the coefficients (L1 penalty) to the loss function, inducing feature sparsity?
A
Lasso Regression (L1 Regularization)
✓ Correct
B
Ridge Regression (L2 Regularization)
C
Ordinary Least Squares
D
Polynomial Regression
💡
Step-by-Step Explanation & Concept Rationale
Lasso adds lambda * sum(|beta_j|), driving irrelevant feature weights to exactly zero, thus performing automated feature selection.
Q. 3
Artificial Intelligence
Difficulty: Medium
(1 Mark)
What is the primary difference between L1 (Lasso) and L2 (Ridge) regularization?
A
L1 penalizes absolute magnitude and can set weights to zero; L2 penalizes squared magnitude and shrinks weights toward zero without setting them strictly to zero
✓ Correct
B
L1 is for classification only; L2 is for regression only
C
L1 increases model variance; L2 increases model bias
D
L1 is non-differentiable everywhere; L2 is non-convex
💡
Step-by-Step Explanation & Concept Rationale
L1 uses diamond-shaped contour constraints promoting sparse solutions; L2 uses spherical contours shrinking weights smoothly.
Q. 4
Artificial Intelligence
Difficulty: Medium
(1 Mark)
What does the 'Bias-Variance Tradeoff' represent in machine learning?
A
The conflict between an algorithm's error from erroneous assumptions (Bias) and its sensitivity to small fluctuations in training data (Variance)
✓ Correct
B
The trade-off between training speed and inference latency
C
The balance between dataset size and RAM usage
D
The compromise between CPU and GPU hardware costs
💡
Step-by-Step Explanation & Concept Rationale
High bias causes underfitting (oversimplified model); high variance causes overfitting (capturing noise). Total error = Bias^2 + Variance + Irreducible Noise.
Q. 5
Artificial Intelligence
Difficulty: Medium
(1 Mark)
In classification problems, which metric is defined as the harmonic mean of Precision and Recall?
A
F1-Score
✓ Correct
B
ROC-AUC
C
Accuracy
D
Cohen's Kappa
💡
Step-by-Step Explanation & Concept Rationale
F1 = 2 * (Precision * Recall) / (Precision + Recall). It balances false positives and false negatives, especially in imbalanced datasets.
Q. 6
Artificial Intelligence
Difficulty: Medium
(1 Mark)
When evaluating a model on a highly imbalanced dataset (e.g. 99% non-flood, 1% flood disaster events), why is Accuracy a misleading performance metric?
A
A naive model predicting 'no flood' for all instances achieves 99% accuracy while completely failing to detect any real flood event
✓ Correct
B
Accuracy cannot be computed for binary classification
C
Accuracy only works for regression tasks
D
Accuracy requires all features to be standardized
💡
Step-by-Step Explanation & Concept Rationale
Accuracy paradox: high accuracy masks severe failure on the minority class. PR-AUC, F1-score, or Recall must be prioritized.
Q. 7
Artificial Intelligence
Difficulty: Medium
(1 Mark)
What is 'Precision' in a binary classification confusion matrix?
A
True Positives / (True Positives + False Positives)
✓ Correct
B
True Positives / (True Positives + False Negatives)
C
True Negatives / (True Negatives + False Positives)
D
True Positives + True Negatives / Total
💡
Step-by-Step Explanation & Concept Rationale
Precision (Positive Predictive Value) measures the proportion of predicted positive instances that were actually true positives.
Q. 8
Artificial Intelligence
Difficulty: Medium
(1 Mark)
What is 'Recall' (also known as Sensitivity or True Positive Rate)?
A
True Positives / (True Positives + False Negatives)
✓ Correct
B
True Positives / (True Positives + False Positives)
C
False Positives / (False Positives + True Negatives)
D
True Negatives / (True Negatives + False Negatives)
💡
Step-by-Step Explanation & Concept Rationale
Recall measures the model's ability to find all actual positive instances in the dataset.
Q. 9
Artificial Intelligence
Difficulty: Medium
(1 Mark)
What does an Area Under the ROC Curve (ROC-AUC) score of 0.5 indicate?
A
The classifier has performance equivalent to random guessing
✓ Correct
B
The classifier has perfect discrimination ability
C
The classifier makes 100% false positive predictions
D
The model is severely overfitted
💡
Step-by-Step Explanation & Concept Rationale
ROC-AUC plots TPR vs FPR across all classification thresholds; 0.5 is random chance, 1.0 is perfect classification.
Q. 10
Artificial Intelligence
Difficulty: Medium
(1 Mark)
In decision trees, which impurity measure is computed as 1 - sum(p_i^2) for class probabilities p_i?
A
Gini Impurity
✓ Correct
B
Shannon Entropy
C
Information Gain Ratio
D
Mean Squared Error
💡
Step-by-Step Explanation & Concept Rationale
Gini impurity measures the probability of misclassifying a randomly chosen element; it is the default criterion in CART trees.
Q. 11
Artificial Intelligence
Difficulty: Medium
(1 Mark)
What is the core ensemble mechanism behind 'Random Forest'?
A
Bagging (Bootstrap Aggregating) combined with random feature subspace selection at each split
✓ Correct
B
Sequential residual boosting with gradient descent
C
Linear stacking with meta-classifiers
D
Iterative hard voting on single decision trees
💡
Step-by-Step Explanation & Concept Rationale
Random Forest trains diverse decorrelated decision trees on bootstrap samples and aggregates their predictions via majority voting or averaging.
Q. 12
Artificial Intelligence
Difficulty: Hard
(1 Mark)
How does 'Gradient Boosting' (e.g. GBM, XGBoost, LightGBM) build its ensemble differently from Random Forest?
A
It trains trees sequentially, where each new tree is fitted to predict the pseudo-residuals (negative gradient of the loss function) of the previous ensemble
✓ Correct
B
It trains all trees completely in parallel on random bootstrap subsets
C
It drops random nodes during training like Dropout
D
It clusters training data using k-Means before fitting trees
💡
Step-by-Step Explanation & Concept Rationale
Boosting is additive and sequential; each base learner compensates for the errors of the preceding ensemble.
Q. 13
Artificial Intelligence
Difficulty: Hard
(1 Mark)
What key innovation allows XGBoost to achieve superior speed and accuracy compared to standard gradient boosting?
A
Second-order Taylor expansion of the loss function (Hessian), exact/approximate greedy split finding, built-in L1/L2 regularization, and sparsity-aware split finding
✓ Correct
B
Using neural network backpropagation exclusively
C
Eliminating the need for decision trees
D
Running only on quantum computers
💡
Step-by-Step Explanation & Concept Rationale
XGBoost incorporates first (gradient) and second (Hessian) derivatives in objective optimization along with shrinkage and column subsampling.
Q. 14
Artificial Intelligence
Difficulty: Hard
(1 Mark)
What is the primary architectural feature of LightGBM that makes it faster on large datasets than traditional gradient boosted trees?
A
Leaf-wise (best-first) tree growth, Histogram-based binning, Gradient-based One-Side Sampling (GOSS), and Exclusive Feature Bundling (EFB)
✓ Correct
B
Level-wise depth-first tree growth exclusively
C
Using radial basis functions in leaf nodes
D
Converting all numerical features into raw text strings
💡
Step-by-Step Explanation & Concept Rationale
LightGBM grows trees leaf-wise rather than level-wise, achieving lower loss with GOSS and histogram binning reducing memory and compute.
Q. 15
Artificial Intelligence
Difficulty: Hard
(1 Mark)
In Support Vector Machines (SVM), what is the 'Kernel Trick'?
A
Implicitly mapping input data into a higher-dimensional feature space where it becomes linearly separable, using inner product kernel functions without calculating coordinates explicitly
✓ Correct
B
Removing outliers by trimming extreme data points
C
Converting continuous labels into categorical classes
D
Optimizing weights using stochastic gradient descent
💡
Step-by-Step Explanation & Concept Rationale
The kernel trick computes inner products in high-dimensional Hilbert spaces using functions like RBF/Gaussian, Polynomial, or Sigmoid.
Q. 16
Artificial Intelligence
Difficulty: Hard
(1 Mark)
In SVM, what role does the hyperparameter 'C' play in the soft-margin formulation?
A
It controls the trade-off between maximizing the margin width and minimizing classification margin violations (slack errors)
✓ Correct
B
It sets the learning rate for gradient descent
C
It defines the number of decision trees in the ensemble
D
It sets the batch size during training
💡
Step-by-Step Explanation & Concept Rationale
Large C penalizes margin violations heavily (narrow margin, risk of overfitting); small C allows more margin violations (wider margin, higher bias).
Q. 17
Artificial Intelligence
Difficulty: Medium
(1 Mark)
In k-Nearest Neighbors (k-NN) classification, how does increasing the value of 'k' affect the model's decision boundary?
A
It smoothens the decision boundary, reducing model variance and increasing bias
✓ Correct
B
It makes the decision boundary more jagged and complex
C
It causes severe overfitting on training data
D
It reduces the training time to zero
💡
Step-by-Step Explanation & Concept Rationale
A small k (e.g. k=1) creates complex, noisy boundaries (overfitting); large k averages over broader neighborhoods (smoother, higher bias).
Q. 18
Artificial Intelligence
Difficulty: Medium
(1 Mark)
Why is feature scaling (e.g. StandardScaler or MinMaxScaler) mandatory prior to training distance-based algorithms like k-NN and k-Means?
A
Features with larger numerical ranges will dominate Euclidean distance calculations, rendering features with smaller scales virtually ineffective
✓ Correct
B
Distance algorithms will fail to compile without scaling
C
Scaling converts categorical features to integers
D
Scaling eliminates all missing values in data
💡
Step-by-Step Explanation & Concept Rationale
Euclidean distance is sensitive to scale; a feature in thousands (e.g. income) dwarfs a feature in decimals (e.g. ratios) unless standardized.
Q. 19
Artificial Intelligence
Difficulty: Medium
(1 Mark)
What is the fundamental assumption of the 'Naive Bayes' classifier that gives it the name 'Naive'?
A
All features are mutually independent of each other given the class label
✓ Correct
B
All features follow a perfectly uniform distribution
C
The target classes are always perfectly balanced
D
The data contains no outliers or missing values
💡
Step-by-Step Explanation & Concept Rationale
Naive Bayes assumes conditional independence: P(x1, x2 | y) = P(x1 | y) * P(x2 | y), which simplifies probability computation drastically.
Q. 20
Artificial Intelligence
Difficulty: Medium
(1 Mark)
In k-Means clustering, what does the 'Elbow Method' evaluate to help select the optimal number of clusters (k)?
A
The Within-Cluster Sum of Squares (WCSS / Inertia) plotted against k, looking for the point of diminishing returns
✓ Correct
B
The classification accuracy on holdout test set
C
The F1-score across multiple clusters
D
The gradient norm during backpropagation
💡
Step-by-Step Explanation & Concept Rationale
As k increases, WCSS decreases; the 'elbow' inflection point identifies where adding more clusters yields marginal variance reduction.
Q. 21
Artificial Intelligence
Difficulty: Hard
(1 Mark)
What metric measures how similar an object is to its own cluster compared to other clusters, ranging from -1 to +1?
A
Silhouette Coefficient (Silhouette Score)
✓ Correct
B
Adjusted Rand Index
C
Davies-Bouldin Index
D
Calinski-Harabasz Index
💡
Step-by-Step Explanation & Concept Rationale
Silhouette score: (b - a) / max(a, b), where a is mean intra-cluster distance and b is mean nearest-cluster distance. +1 indicates well-clustered samples.
Q. 22
Artificial Intelligence
Difficulty: Hard
(1 Mark)
What is the primary advantage of DBSCAN (Density-Based Spatial Clustering of Applications with Noise) over k-Means?
A
It can discover clusters of arbitrary shapes and automatically identifies noise/outliers without requiring the number of clusters to be pre-specified
✓ Correct
B
It guarantees spherical clusters of identical diameter
C
It operates in linear O(1) time complexity
D
It works exclusively on text data
💡
Step-by-Step Explanation & Concept Rationale
DBSCAN groups points based on density reachability (eps and min_samples), isolating sparse noise points as outliers.
Q. 23
Artificial Intelligence
Difficulty: Hard
(1 Mark)
In Principal Component Analysis (PCA), how are the principal components constructed from the data covariance matrix?
A
As the eigenvectors corresponding to the largest eigenvalues of the covariance matrix
✓ Correct
B
As random orthogonal projections across features
C
As non-linear kernel transformations minimizing cross-entropy
D
As decision tree leaf node assignments
💡
Step-by-Step Explanation & Concept Rationale
Eigenvectors define the principal axes of maximum variance, while eigenvalues quantify the variance explained along each component.
Q. 24
Artificial Intelligence
Difficulty: Medium
(1 Mark)
Why must features be centered (zero mean) and scaled before performing Principal Component Analysis (PCA)?
A
To ensure that high-variance unscaled features do not artificially dominate the first principal component
✓ Correct
B
PCA cannot compute matrix determinants without scaling
C
To convert categorical features into continuous variables
D
To ensure the data follows a Poisson distribution
💡
Step-by-Step Explanation & Concept Rationale
PCA maximizes variance; features with larger raw magnitudes will otherwise dominate the covariance matrix regardless of information content.
Q. 25
Artificial Intelligence
Difficulty: Hard
(1 Mark)
What is the primary difference between PCA and t-SNE (t-Distributed Stochastic Neighbor Embedding)?
A
PCA is a linear technique preserving global variance; t-SNE is a non-linear probabilistic technique preserving local neighborhood structures (ideal for 2D/3D visualization)
✓ Correct
B
PCA is supervised; t-SNE is unsupervised
C
PCA is for text only; t-SNE is for images only
D
PCA requires GPUs; t-SNE runs on microcontrollers
💡
Step-by-Step Explanation & Concept Rationale
t-SNE minimizes the Kullback-Leibler divergence between high-dimensional joint probabilities and low-dimensional Student-t probabilities.
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Instructions / Reading Passage
25 Questions in this set
Select the best option/antonym for the following English Vocabulary questions:
Q. 1
English Language Comprehension
Difficulty: Medium
(1 Mark)
Autonomy
A
submissiveness
B
dependence
✓ Correct
C
subordination
D
slavery
💡
Step-by-Step Explanation & Concept Rationale
Autonomy refers to self-governance; its opposite is relying on others.
Q. 2
English Language Comprehension
Difficulty: Medium
(1 Mark)
Assert
A
agree
B
acquiesce
C
abjure
✓ Correct
D
abdicate
💡
Step-by-Step Explanation & Concept Rationale
To assert is to state firmly; abjure means to solemnly renounce or deny.
Q. 3
English Language Comprehension
Difficulty: Medium
(1 Mark)
Accord
A
solution
B
act
C
dissent
✓ Correct
D
concord
💡
Step-by-Step Explanation & Concept Rationale
Accord signifies agreement or harmony; dissent represents disagreement.
Q. 4
English Language Comprehension
Difficulty: Medium
(1 Mark)
Alive
A
passive
B
dead
✓ Correct
C
asleep
D
drowsy
💡
Step-by-Step Explanation & Concept Rationale
The direct biological opposite of being alive is being dead.
Q. 5
English Language Comprehension
Difficulty: Medium
(1 Mark)
Ancestors
A
supporters
B
disciples
C
followers
D
descendants
✓ Correct
💡
Step-by-Step Explanation & Concept Rationale
Ancestors are those from whom one is descended; descendants are one's progeny.
Q. 6
English Language Comprehension
Difficulty: Medium
(1 Mark)
Abdicate
A
claim
✓ Correct
B
snatch
C
plunder
D
seize
💡
Step-by-Step Explanation & Concept Rationale
To abdicate is to renounce a throne or power; to claim is to assert a right to it.
Q. 7
English Language Comprehension
Difficulty: Medium
(1 Mark)
Abhorrence
A
aversion
B
liking
✓ Correct
C
appreciation
D
fear
💡
Step-by-Step Explanation & Concept Rationale
Abhorrence is extreme hatred; liking indicates a feeling of fondness or pleasure.
Q. 8
English Language Comprehension
Difficulty: Medium
(1 Mark)
Acquisitive
A
miserly
B
frugal
✓ Correct
C
simple
D
austere
💡
Step-by-Step Explanation & Concept Rationale
Acquisitive means eager to get wealth; frugal implies being economical or sparing.
Q. 9
English Language Comprehension
Difficulty: Medium
(1 Mark)
Audacious
A
timid
✓ Correct
B
vulgar
C
low
D
unpractised
💡
Step-by-Step Explanation & Concept Rationale
Audacious refers to being bold and daring; timid means showing a lack of courage.
Q. 10
English Language Comprehension
Difficulty: Medium
(1 Mark)
Acquitted
A
entrusted
B
convicted
✓ Correct
C
freed
D
burdened
💡
Step-by-Step Explanation & Concept Rationale
To be acquitted is to be cleared of a charge; to be convicted is to be found guilty.
Q. 11
English Language Comprehension
Difficulty: Medium
(1 Mark)
Absolute
A
scarce
B
limited
✓ Correct
C
faulty
D
efficient
💡
Step-by-Step Explanation & Concept Rationale
Absolute means total or unconditional; limited implies having fixed bounds.
Q. 12
English Language Comprehension
Difficulty: Medium
(1 Mark)
Acute
A
sharp
B
critical
C
dull
✓ Correct
D
sensitive
💡
Step-by-Step Explanation & Concept Rationale
Acute describes something sharp or intense; dull describes something blunt or weak.
Q. 13
English Language Comprehension
Difficulty: Medium
(1 Mark)
Anathematise
A
radiate
B
regulate
C
deceive
D
bless
✓ Correct
💡
Step-by-Step Explanation & Concept Rationale
To anathematise is to curse or denounce; its spiritual opposite is to bless.
Q. 14
English Language Comprehension
Difficulty: Medium
(1 Mark)
Addition
A
multiplication
B
subtraction
✓ Correct
C
enumeration
D
division
💡
Step-by-Step Explanation & Concept Rationale
Subtraction is the mathematical operation that removes, while addition adds.
Q. 15
English Language Comprehension
Difficulty: Medium
(1 Mark)
Attract
A
repulse
B
reject
C
repel
✓ Correct
D
distract
💡
Step-by-Step Explanation & Concept Rationale
To attract is to pull toward; to repel is to push away or drive back.
Q. 16
English Language Comprehension
Difficulty: Medium
(1 Mark)
Avoidance
A
possession
B
pursuit
✓ Correct
C
passion
D
power
💡
Step-by-Step Explanation & Concept Rationale
Avoidance is the act of staying away; pursuit is the act of following or chasing.
Q. 17
English Language Comprehension
Difficulty: Medium
(1 Mark)
Alleviation
A
exaggeration
B
exasperation
C
magnification
D
intensification
✓ Correct
💡
Step-by-Step Explanation & Concept Rationale
While "alleviation" means to make suffering, deficiency, or a problem less severe (to ease or mitigate), "intensification" means to make something grow more acute, strong, or severe.
Q. 18
English Language Comprehension
Difficulty: Medium
(1 Mark)
Alienate
A
gather
B
identify
C
assemble
D
unite
✓ Correct
💡
Step-by-Step Explanation & Concept Rationale
To alienate is to isolate or cause to become unfriendly; to unite is to join together.
Q. 19
English Language Comprehension
Difficulty: Medium
(1 Mark)
Adequate
A
profuse
B
abounding
C
scanty
✓ Correct
D
abundant
💡
Step-by-Step Explanation & Concept Rationale
Adequate means sufficient; scanty means small or insufficient in quantity.
Q. 20
English Language Comprehension
Difficulty: Medium
(1 Mark)
Appointment
A
disappointment
B
suspension
C
dismissal
✓ Correct
D
discharge
💡
Step-by-Step Explanation & Concept Rationale
"Appointment" refers to the act of officially assigning a job, position, or office to someone. Therefore, dismissal (the act of officially removing someone from a job or position) is its direct structural and professional antonym.
Q. 21
English Language Comprehension
Difficulty: Medium
(1 Mark)
Amalgamate
A
generate
B
repair
C
materialize
D
separate
✓ Correct
💡
Step-by-Step Explanation & Concept Rationale
Amalgamate means to combine into one; separate means to part or divide.
Q. 22
English Language Comprehension
Difficulty: Medium
(1 Mark)
Acclamation
A
denunciation
✓ Correct
B
suppression
C
termination
D
applause
💡
Step-by-Step Explanation & Concept Rationale
Acclamation is loud approval; denunciation is public condemnation.
Q. 23
English Language Comprehension
Difficulty: Medium
(1 Mark)
Ambiguous
A
obscure
B
secular
C
explicit
✓ Correct
D
equivocate
💡
Step-by-Step Explanation & Concept Rationale
Ambiguous means vague or unclear; explicit means stated clearly and in detail.
Q. 24
English Language Comprehension
Difficulty: Medium
(1 Mark)
Antipathy
A
obedience
B
admiration
C
agreement
D
fondness
✓ Correct
💡
Step-by-Step Explanation & Concept Rationale
Antipathy is a deep-seated feeling of dislike; fondness is affection or liking.
Q. 25
English Language Comprehension
Difficulty: Medium
(1 Mark)
Amicable
A
cunning
B
shy
C
hostile
✓ Correct
D
crazy
💡
Step-by-Step Explanation & Concept Rationale
Amicable refers to friendliness and goodwill; hostile refers to unfriendliness/opposition.
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