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Data Science Mock Test 6
Exam Duration:
00:53:00
Data Science Mock Test 6
: Question
1
of 59
If b is a dictionary, what does any(b) do?
1 Mark(s)
Your Answer:
Returns True if any key of the dictionary is true
Returns True if any key of the dictionary is true
Returns False if dictionary is empty
Returns False if dictionary is empty
Returns True if all keys of the dictionary are true
Returns True if all keys of the dictionary are true
Method any() doesn't exist for dictionary
Method any() doesn't exist for dictionary
Life of a T.V picture tube is a____________?
1 Mark(s)
Your Answer:
Discrete variable
Discrete variable
Continuous variable
Continuous variable
Qualitative variable
Qualitative variable
Constant
Constant
Behaviors in the real world are equivalent to program's:
1 Mark(s)
Your Answer:
data
data
function
function
module
module
loop
loop
What will be the output of the following Python code? print("xyyzxyzxzxyy".endswith("xyy"))
1 Mark(s)
Your Answer:
1
1
True
True
3
3
2
2
In data ethics and privacy, what is the primary purpose of "data minimization"?
1 Mark(s)
Your Answer:
To collect as much data as possible
To collect as much data as possible
To collect only necessary data
To collect only necessary data
To collect data secretly
To collect data secretly
To delete all collected data
To delete all collected data
What is the primary purpose of "data exploration" in data visualization?
1 Mark(s)
Your Answer:
Discover insights in the data
Discover insights in the data
Add decorative elements
Add decorative elements
Make charts more complex
Make charts more complex
Slow down data analysis
Slow down data analysis
What function do you use to read a string?
1 Mark(s)
Your Answer:
input("Enter a string")
input("Enter a string")
eval(input("Enter a string"))
eval(input("Enter a string"))
enter("Enter a string")
enter("Enter a string")
eval(enter("Enter a string"))
eval(enter("Enter a string"))
What is the primary purpose of the "problem statement" in a data science capstone project?
1 Mark(s)
Your Answer:
Provide a literature review
Provide a literature review
Define the project scope
Define the project scope
Choose the programming language
Choose the programming language
None of the above
None of the above
What will be the output of the following Python code snippet? a = {} a[1] = 1 a['1'] = 2 a[1.0]=4 count = 0 for i in a: count += a[i] print(count)
1 Mark(s)
Your Answer:
An exception is thrown
An exception is thrown
3
3
6
6
2
2
What is the primary data structure in Numpy used for storing and performing operations on numerical data?
1 Mark(s)
Your Answer:
Tensor
Tensor
Series
Series
DataFrame
DataFrame
ndarray
ndarray
What will be the output of the following Python code? x = ['ab', 'cd'] for i in x: x.append(i.upper()) print(x)
1 Mark(s)
Your Answer:
['AB', 'CD']
['AB', 'CD']
['ab', 'cd', 'AB', 'CD']
['ab', 'cd', 'AB', 'CD']
['ab', 'cd']
['ab', 'cd']
none of the mentioned
none of the mentioned
Which technology is commonly used for streamlining the data velocity aspect of big data, allowing for real-time data collection and analysis?
1 Mark(s)
Your Answer:
Data lakes
Data lakes
Data warehouses
Data warehouses
Internet of Things (IoT)
Internet of Things (IoT)
Apache Kafka
Apache Kafka
What is the primary goal of dimensionality reduction techniques like Principal Component Analysis (PCA) in machine learning?
1 Mark(s)
Your Answer:
To increase model interpretability
To increase model interpretability
To reduce the size of the training dataset
To reduce the size of the training dataset
To perform unsupervised learning
To perform unsupervised learning
To visualize data relationships
To visualize data relationships
In the context of NLP, what does the acronym "NER" stand for?
1 Mark(s)
Your Answer:
Natural Entity Recognition
Natural Entity Recognition
Named Entity Recognition
Named Entity Recognition
Normalized Entity Recognition
Normalized Entity Recognition
Named Entity Resampling
Named Entity Resampling
In Pandas, which method is used to fill missing values in a DataFrame with specified values or a filling method?
1 Mark(s)
Your Answer:
melt()
melt()
drop_duplicates()
drop_duplicates()
dropna()
dropna()
fillna()
fillna()
Which module is commonly used for database connectivity in Python?
1 Mark(s)
Your Answer:
dbconnect
dbconnect
pydb
pydb
sqlite3
sqlite3
dbconnector
dbconnector
A box containing 12 balls of color 6 red and 6 white. A ball of white selected ball finds the probability of white____________?
1 Mark(s)
Your Answer:
7/12
7/12
6/12
6/12
12/12
12/12
4/12
4/12
What is the primary concern addressed by HIPAA (Health Insurance Portability and Accountability Act) in data privacy?
1 Mark(s)
Your Answer:
Protecting data from cyberattacks
Protecting data from cyberattacks
Safeguarding healthcare information
Safeguarding healthcare information
Ensuring data accuracy
Ensuring data accuracy
Regulating data usage
Regulating data usage
Random numbers are used for selection of ____________?
1 Mark(s)
Your Answer:
Random space
Random space
Space
Space
Random sample
Random sample
Non of these
Non of these
What is the purpose of using the yield from statement in generators?
1 Mark(s)
Your Answer:
To yield values directly
To yield values directly
To yield values from another generator
To yield values from another generator
To stop the generator
To stop the generator
To skip a value
To skip a value
Accurate prediction depends heavily on measuring the right variables.
1 Mark(s)
Your Answer:
True
True
False
False
What is the term for the process of handling missing data in a dataset by estimating values based on available data?
1 Mark(s)
Your Answer:
Data Imputation
Data Imputation
Data Normalization
Data Normalization
Data Transformation
Data Transformation
Data Encoding
Data Encoding
What is the output of the following code: my_tuple = (1, 2, 3) print(my_tuple[1])
1 Mark(s)
Your Answer:
1
1
2
2
3
3
Error
Error
What does "SQL" stand for in the context of data science?
1 Mark(s)
Your Answer:
Structured Query Language
Structured Query Language
Statistical Query Language
Statistical Query Language
Scripting Query Language
Scripting Query Language
Scientific Query Language
Scientific Query Language
Class which share its characteristics to parent class but also add its own is termed as:
1 Mark(s)
Your Answer:
base class
base class
derived class
derived class
sub class
sub class
object
object
What is the purpose of "lemmatization" in NLP?
1 Mark(s)
Your Answer:
To group words into topics
To group words into topics
To split text into individual words or tokens
To split text into individual words or tokens
To reduce words to their base or dictionary form
To reduce words to their base or dictionary form
To recognize named entities
To recognize named entities
Which of the following precedence order is correct in Python?
1 Mark(s)
Your Answer:
Parentheses, Exponential, Multiplication, Division, Addition, Subtraction
Parentheses, Exponential, Multiplication, Division, Addition, Subtraction
Multiplication, Division, Addition, Subtraction, Parentheses, Exponential
Multiplication, Division, Addition, Subtraction, Parentheses, Exponential
Division, Multiplication, Addition, Subtraction, Parentheses, Exponential
Division, Multiplication, Addition, Subtraction, Parentheses, Exponential
Exponential, Parentheses, Multiplication, Division, Addition, Subtraction
Exponential, Parentheses, Multiplication, Division, Addition, Subtraction
What is the primary goal of "cross-correlation analysis" in time series analysis?
1 Mark(s)
Your Answer:
To identify seasonality in the data
To identify seasonality in the data
To test for causality between time series data
To test for causality between time series data
To remove outliers from the data
To remove outliers from the data
To determine the order of differencing
To determine the order of differencing
In machine learning, what does the term "bias" refer to when evaluating a model's performance?
1 Mark(s)
Your Answer:
The model's flexibility
The model's flexibility
The difference between predicted and actual values
The difference between predicted and actual values
The model's ability to generalize
The model's ability to generalize
The model's ability to fit the training data
The model's ability to fit the training data
In data collection, what is the term for data that has not been processed or analyzed and is in its original form?
1 Mark(s)
Your Answer:
Raw Data
Raw Data
Processed Data
Processed Data
Analytical Data
Analytical Data
Structured Data
Structured Data
What is the value of the following Python expression? bin(0x8)
1 Mark(s)
Your Answer:
'0bx1000'
'0bx1000'
8
8
1000
1000
'0b1000'
'0b1000'
In a data science capstone project, what does "feature engineering" involve?
1 Mark(s)
Your Answer:
Writing the final report
Writing the final report
Selecting the mentor
Selecting the mentor
Visualizing data distributions
Visualizing data distributions
Creating new data variables
Creating new data variables
Which symbol is used to denote a decorator in Python syntax?
1 Mark(s)
Your Answer:
@
@
#
#
&
&
*
*
In a data science capstone project, what is the role of "data validation" and "data cleaning"?
1 Mark(s)
Your Answer:
Replace the mentor
Replace the mentor
Write the project report
Write the project report
Enhance the project's complexity
Enhance the project's complexity
Ensure data accuracy
Ensure data accuracy
What is the output of the function complex()?
1 Mark(s)
Your Answer:
0j
0j
0+0j
0+0j
0
0
Error
Error
What will be the output of the following Python expression if x=456? print("%-06d"%x)
1 Mark(s)
Your Answer:
000456
000456
456000
456000
456
456
error
error
In data preprocessing, what is the term for the process of converting categorical data into binary format?
1 Mark(s)
Your Answer:
Data Encoding
Data Encoding
Data Normalization
Data Normalization
Data Imputation
Data Imputation
Data Aggregation
Data Aggregation
Which emerging trend in data science focuses on using AI to automate and improve the efficiency of legal research and document analysis?
1 Mark(s)
Your Answer:
Predictive maintenance
Predictive maintenance
Logistics optimization
Logistics optimization
LegalTech
LegalTech
Mental health AI
Mental health AI
The Normal Curve is asymptotic to the?
1 Mark(s)
Your Answer:
None
None
X-axis
X-axis
Y-axis
Y-axis
Along Y=X
Along Y=X
Data being used by an agency which is originally collected by them are _______ data?
1 Mark(s)
Your Answer:
Quantitative
Quantitative
Primary
Primary
Discrete
Discrete
Secondary
Secondary
What is the output of the following code snippet: for i in range(2, 6): print(i)
1 Mark(s)
Your Answer:
2 3 4 5
2 3 4 5
1 3 4 6
1 3 4 6
3 4 5 6
3 4 5 6
1 2 3 4
1 2 3 4
What is the primary purpose of the "rolling" method in Pandas when working with time series data?
1 Mark(s)
Your Answer:
Sorting data
Sorting data
Calculate rolling statistics
Calculate rolling statistics
Filtering data
Filtering data
None of the above
None of the above
Standard deviation is always calculated from _____________?
1 Mark(s)
Your Answer:
Mean
Mean
Median
Median
Mode
Mode
G.M.
G.M.
If X predicts Y, it does mean X causes Y.
1 Mark(s)
Your Answer:
True
True
False
False
Which emerging trend in data science is related to the use of AI-driven chatbots and virtual assistants for customer support?
1 Mark(s)
Your Answer:
Internet of Things (IoT)
Internet of Things (IoT)
Data engineering
Data engineering
Conversational AI
Conversational AI
Quantum computing
Quantum computing
When data are collected in a statistical study for only a portion or subset of all elements of interest we are using?
1 Mark(s)
Your Answer:
A sample
A sample
A Parameter
A Parameter
A Population
A Population
Both b and c
Both b and c
Which technology involves the use of AI and data analytics to enhance the efficiency and safety of manufacturing processes?
1 Mark(s)
Your Answer:
EdTech
EdTech
Smart manufacturing
Smart manufacturing
Content personalization
Content personalization
None of the above
None of the above
Which of the following function can be used to flag predictors for removal?
1 Mark(s)
Your Answer:
searchCorrelation
searchCorrelation
findCausation
findCausation
findCorrelation
findCorrelation
none of the mentioned
none of the mentioned
What is the output of the code: print("{:<10}".format("hello"))?
1 Mark(s)
Your Answer:
"hello"
"hello"
"hello "
"hello "
"hell"
"hell"
"hello "
"hello "
Population census is conducted through_______________?
1 Mark(s)
Your Answer:
Sample survey
Sample survey
Accounting
Accounting
Investigation
Investigation
Complete enumeration
Complete enumeration
The time taken by an athlete to run a 400 mile race in SAF games ________________?
1 Mark(s)
Your Answer:
Continuous data
Continuous data
Random
Random
Discrete data
Discrete data
Non of these
Non of these
What will be the output of the following code: my_list = [1, 2, 3] my_list.reverse() print(my_list)
1 Mark(s)
Your Answer:
[1, 2, 3]
[1, 2, 3]
[3, 2, 1]
[3, 2, 1]
[2, 3, 1]
[2, 3, 1]
[1, 3, 2]
[1, 3, 2]
_____________is used to compare the variation or dispersion in two or more sets of data even though they are measured in different units?
1 Mark(s)
Your Answer:
Range
Range
Standard Deviation
Standard Deviation
Coefficient of Variation
Coefficient of Variation
Mean Deviation
Mean Deviation
If the sampled population has a normal distribution, when is the sampling distribution of the sample mean X also a normal distribution ?
1 Mark(s)
Your Answer:
Only when the sample size is at least 100.
Only when the sample size is at least 100.
Only when the sample size is smaller than 30
Only when the sample size is smaller than 30
Always
Always
Only when the sample size is at least 30.
Only when the sample size is at least 30.
Which sampling technique is appropriate when there is homogeneity in population?
1 Mark(s)
Your Answer:
Simple random sampling
Simple random sampling
Stratified sampling
Stratified sampling
Cluster sampling
Cluster sampling
Systematic sampling
Systematic sampling
What is the main goal of object-oriented programming (OOP)?
1 Mark(s)
Your Answer:
To model real-world entities and their interactions
To model real-world entities and their interactions
To maximize efficiency
To maximize efficiency
To use fewer lines of code
To use fewer lines of code
To create simple programs
To create simple programs
In a binomial distribution the probability of ___________ changes from trial to trial?
1 Mark(s)
Your Answer:
Failure
Failure
Experiment
Experiment
Success
Success
Out come
Out come
What is the primary purpose of a confusion matrix in model evaluation?
1 Mark(s)
Your Answer:
To compare different machine learning algorithms
To compare different machine learning algorithms
To visualize the model's decision boundary
To visualize the model's decision boundary
To measure the model's prediction accuracy
To measure the model's prediction accuracy
To evaluate the performance of a classification model
To evaluate the performance of a classification model
In CPI household budget method also known as:_____________?
1 Mark(s)
Your Answer:
Simple average of relatives
Simple average of relatives
Average of weights
Average of weights
Weighted average of relatives
Weighted average of relatives
All of above
All of above
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