Question - 1
How do you handle missing or corrupted data in a dataset?
Drop missing rows or columns
Replace missing values with mean/median/mode
Assign a unique category to missing values
All of the above
Answer- D
Question - 2
Application of machine learning methods to large databases is called-
data mining
artificial intelligence
internet of things
cloud computing
Answer- A
Question - 3
If machine learning model output involves a target variable then that model is called as-
descriptive model
predictive model
reinforcement learning
None of these
Answer- B
Question - 4
In what type of learning labeled training data is used-
unsupervised learning
supervised learning
reinforcement learning
active learning
Answer- B
Question - 5
What does dimensionality reduction reduce?
stochastics
collinerity
performance
entropy
Answer- B
Question - 6
Type of matrix decomposition model is-
descriptive model
predictive model
logical model
regression
Answer- A
Question - 7
ML is a field of AI consisting of learning algorithms that?
Improve their performance
At executing some task
Over time with experience
All of the above
Answer- B
Question - 8
The action _______ of a robot arm specify to Place block A on block B.
STACK(A,B)
LIST(A,B)
QUEUE(A,B)
ARRAY(A,B)
Answer- A
Question - 9
A__________ begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written.
bottom-up parser
top parser
top-down parser
bottom parser
Answer- C
Question - 10
A model of language consists of the categories which do not include ________.
System unit
structural units
data units
empirical units
Answer- B
Question - 11
Which of the following are ML methods?
based on human supervision
supervised learning
semi-reinforcement learning
All of the above
Answer- A
Question - 12
To find the minimum or the maximum of a function, we set the gradient to zero because:
The value of the gradient at extrema of a function is always zero
Depends on the type of problem
Both A and B
None of these
Answer- A
Question - 13
In Model-based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called?
mini-batches
optimized parameters
hyperparameters
superparameters
Answer- C
Question - 14
When performing regression or classification, which of the following is the correct way to preprocess the data?
Normalize the data -> PCA -> training
PCA -> normalize PCA output -> training
Normalize the data -> PCA -> normalize PCA output -> training
None of these
Answer- A
Question - 15
Which of the following is a disadvantage of decision trees?
Factor analysis
Decision trees are prone to be overfit
Decision trees are robust to outliers
None of these
Answer- B
Question - 16
Which of the following is a reasonable way to select the number of principal components "k"?
Choose k to be the smallest value so that at least 99% of the variance is retained
Choose k to be 99% of m (k = 0.99*m, rounded to the nearest integer)
Choose k to be the largest value so that 99% of the variance is retained.
Use the elbow method.
Answer- A
Question - 17
High entropy means that the partitions in classification are:
pure
not pure
useful
useless
Answer- B
Question - 18
What is a sentence parser typically used for?
It is used to parse sentences to check if they are utf-8 compliant.
It is used to parse sentences to derive their most likely syntax tree structures.
It is used to parse sentences to assign POS tags to all tokens.
It is used to check if sentences can be parsed into meaningful tokens.
Answer- B
Question - 19
Which of the following techniques can not be used for normalization in text mining?
Stemming
Stop word removal
Lemmatization
None of these
Answer- B
Question - 20
Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?
Decision Trees
Density-based clustering
Model-based clustering
k-means clustering
Answer- B
Practice more set questions
