BFSI | Internboot Assesments

A BFSI internship provides hands-on experience in the finance sector, covering areas such as banking operations, financial analysis, customer service, investment planning, risk management, and insurance processing. Interns gain insights into how financial institutions operate and are introduced to tools, policies, and compliance procedures.

Objectives

Understand the structure and functions of the BFSI industry.
Gain experience with financial products like loans, mutual funds, insurance policies, etc.
Learn regulatory frameworks (e.g., RBI guidelines, IRDAI norms).
Assist in data analysis, customer onboarding, market research, or process improvement.

Key Responsibilities

Assist with account opening, KYC documentation, and transaction processing.
Analyze customer portfolios and suggest financial products.
Support in auditing, compliance checks, and risk assessment.
Perform competitor/market research and prepare reports.
Use tools like Excel, Tally, or financial CRMs for data entry or analysis.

Skills You’ll Gain

Financial Analysis & Reporting
Communication & Client Handling
Basic Accounting & Taxation
Regulatory Compliance Knowledge
Use of tools like MS Excel, CRM systems, and banking software
Understanding of financial instruments and risk products

Important Notice:
Once you start the quiz, you will not be able to pause, exit, or restart it. Please ensure you are ready before begin.

Banking, financial services and insurance L1

1 / 100

1) Which method is used to find correlation in Pandas?

a) .corr()

b) .groupby()

c) apply()

d) .map()

2 / 100

2) What is the purpose of one-hot encoding?

a) Reduce features

b) Normalize data

c) Detect null values

d) Convert categorical data to numerical

3 / 100

3) Which of the following is a classification metric?

a) RMSE

b) MAE

c) AUC

d) R²

4 / 100

4) Purpose of sampling data?

a) Increase dataset size

b) Decrease dimensionality

c) Decrease dataset size

d) Select representative subset

5 / 100

5) What does ROC stand for in classification problems?

a) Region of Confidence

b) Regression Output Curve

c) Rate of Change

d) Receiver Operating Characteristic

6 / 100

6) Which library in Python is used for machine learning?

a) Matplotlib

b) Flask

c) Scikit-learn

d) Seaborn

7 / 100

7) Which statistics type generalizes from a sample to the population?

a) None

b) Both

c) Descriptive

d) Inferential

8 / 100

8) What does time.time() in Python return?

a) Past 1 hour time

b) seconds since Jan 1 1970 GMT

c) Current time in ms only

d) ms since Jan 1 1970 GMT

9 / 100

9) Which of the following is used to handle missing values in a dataset?

a) dropna()

b) All of the above

c) isnull()

d) fillna()

10 / 100

10) Which of the following is used for feature selection?

a) Ridge Regression

b) Linear Regression

c) Lasso Regression

d) Naive Bayes

11 / 100

11) Which library is commonly used for NLP in Python?

a) Keras

b) NLTK

c) OpenCV

d) Flask

12 / 100

12) What does NaN stand for in data science?

a) Not a Number

b) New added Number

c) Not a Name

d) Not a Node

13 / 100

13) In which ML model is the sigmoid function used?

a) Decision Tree

b) Linear Regression

c) Random Forest

d) Logistic Regression

14 / 100

14) What is the full form of SQL?

a) Structured Question Language

b) Structured Query Language

c) Sequential Query Language

d) Simple Query Language

15 / 100

15) Which R function is used to create a histogram?

a) pie()

b) hist()

c) plot()

d) graph()

16 / 100

16) Which file format is commonly used to store machine learning models?

a) .pkl

b) .py

c) .csv

d) .txt

17 / 100

17) Which function is used to group data in Pandas?

a) groupby()

b) aggregate()

c) sort()

d) map()

18 / 100

18) Which of the following is used for text vectorization?

a) ROC curve

b) Heatmap

c) TF-IDF

d) Box Plot

19 / 100

19) What is the first step in the CRISP-DM data science process model?

a) Modeling

b) Data Understanding

c) Business Understanding

d) Data Preparation

20 / 100

20) What does the value_counts() function do in Pandas?

a) Counts characters in a string

b) Counts all NaN values

c) Counts column values

d) Counts unique values in a Serie

21 / 100

21) What does df.shape return in Pandas?

a) Data types

b) (rows, columns)

c) List of column names

d) Number of rows only

22 / 100

22) Which R package includes class()?

a) base

b) stats

c) class

d) utils

23 / 100

23) In Python, how do you check the data type of a variable?

a) gettype()

b) type()

c) datatype()

d) typeof()

24 / 100

24) Which library is commonly used for data visualization in Python?

a) NumPy

b) Scikit-learn

c) Matplotlib

d) Pandas

25 / 100

25) . Which function in NumPy returns evenly spaced values?

a) linspace()

b) split()

c) arrange()

d) random()

26 / 100

26) Which of the following is NOT a valid data type in R?

a) logical

b) character

c) numeric

d) decimal

27 / 100

27) What does ROC stand for in classification problems?

a) Regression Output Curve

b) Receiver Operating Characteristic

c) Region of Confidence

d) Rate of Change

28 / 100

28) Which of the following is NOT a Python loop structure?

a) repeat

b) while

c) None of the above

d) for

29 / 100

29) Which is not suitable for importing CSV files in R?

a) read.csv()

b) read_excel()

c) read.table()

d) Both a & b

30 / 100

30) What does np.array() do in NumPy?

a) Creates a plot

b) Creates a matrix of zeros

c) Creates an array

d) Creates a new DataFrame

31 / 100

31) Which algorithm is best suited for classification tasks?

a) Linear Regression

b) PCA

c) Logistic Regression

d) K-Means

32 / 100

32) What is overfitting in machine learning?

a) Model performs well on training data but poorly on test data

b) Model performs well on test data but poorly on training data

c) Model does not train

d) Model performs equally on training and test data

33 / 100

33) PAN is mandatory for:

a) Opening a basic savings account

b) Getting ATM card

c) None of the above

d) Depositing cash above ₹50,000

34 / 100

34) What does .head() in Pandas return?

a) First 5 rows

b) Last 5 rows

c) Random 5 rows

d) Only column headers

35 / 100

35) Which is an ensemble learning method?

a) KNN

b) Naive Bayes

c) Decision Tree

d) Random Forest

36 / 100

36) Which algorithm works based on similarity/proximity?

a) Linear Regression

b) Naive Bayes

c) Decision Tree

d) KNN

37 / 100

37) Which of the following is not a type of machine learning?

a) Supervised learning

b) Unsupervised learning

c) Descriptive learning

d) Reinforcement learning

38 / 100

38) What is bootstrapping in statistics?

a) Creating synthetic features

b) Sampling without replacement

c) Sampling with replacement

d) Repeating experiments

39 / 100

39) What does NLP stand for?

a) Natural Language Processing

b) Neural Language Program

c) Natural Language Programming

d) Natural Logic Processing

40 / 100

40) What does drop(columns=[]) do in Pandas?

a) Drops NaN values

b) Drops index

c) Drops specific rows

d) Drops selected columns

41 / 100

41) Which function is used to get summary statistics in Pandas?

a) summary()

b) describe()

c) info()

d) stats()

42 / 100

42) Which metric is best for imbalanced classification problems?

a) Accuracy

b) F1 Score

c) Precision

d) Recall

43 / 100

43) Which of the following is an unsupervised learning algorithm?

a) Decision Tree

b) Logistic Regression

c) Linear Regression

d) K-Means

44 / 100

44) What is the main role of the activation function in neural networks?

a) Reduce dimensionality

b) Calculate weights

c) Introduce non-linearity

d) Normalize inputs

45 / 100

45) What does CRR stand for in banking?

a) Cash Reserve Ratio

b) Core Reserve Rate

c) Capital Reserve Requirement

d) Credit Reserve Ratio

46 / 100

46) Which R function is used to create a histogram?

a) hist()

b) graph()

c) plot()

d) pie()

47 / 100

47) Which technique is used to reduce multicollinearity?

a) Forward selection

b) Ridge

c) Backward elimination

d) Lasso

48 / 100

48) Which function in NumPy returns the mean of an array?

a) np.average()

b) np.median()

c) np.mean()

d) np.sum()

49 / 100

49) Which of the following is NOT a supervised learning task?

a) Clustering

b) Classification

c) Decision Tree

d) Linear Regression

50 / 100

50) Which data analysis aims to recommend actions for desired outcomes?

a) Prescriptive

b) Predictive

c) Diagnostic

d) Descriptive

51 / 100

51) Which account is a zero-balance account with additional benefits, introduced as part of financial inclusion?

a) Fixed Deposit

b) NRE Account

c) PMJDY Account

d) Recurring Deposit

52 / 100

52) Which function is used to combine two DataFrames in Pandas?

a) concat()

b) All of the above

c) join()

d) merge()

53 / 100

53)

What type of ML is used when no labelled data is available?

a) Supervised

b) Reinforcement

c) Unsupervised

d) Transfer Learning

54 / 100

54) Which of the following is a hashing technique used in NLP?

a) Count Vectorizer

b) Stemming

c) Lemmatization

d) Hashing Vectorizer

55 / 100

55) Which method is used to fill missing values with the previous one?

a) fillna('mean')

b) dropna()

c) fillna(method='pad')

d) replace()

56 / 100

56) Which is not suitable for importing CSV files in R?

a) read.table()

b) Both a & b

c) read_excel()

d) read.csv()

57 / 100

57) What is the minimum age required to open a Savings Bank (SB) account in India?

a) 10 years

b) 12 years

c) 15 years

d) 8 years

58 / 100

58) What is the purpose of the predict() function in ML?

a) Tune model parameters

b) Fit the model

c) Make predictions

d) Evaluate the model

59 / 100

59) What does the fit() function do in machine learning models?

a) Trains the model

b) Predicts output

c) Scales features

d) Tests the model

60 / 100

60) What type of data is most appropriate for a box plot?

a) Categorical data

b) Ordinal data

c) Numerical data

d) Text data

61 / 100

61) What is cross-validation used for in ML?

a) Combining models

b) increasing accuracy on training set

c) Reducing data size

d) Avoiding overfitting

62 / 100

62) Which of these is a continuous probability distribution?

a) Binomial

b) Normal

c) Poisson

d) Geometric

63 / 100

63) Which of the following is NOT a Python data type?

a) set

b) graph

c) tuple

d) list

64 / 100

64) KYC stands for:

a) Know Your Character

b) Know Young Customer

c) Know Your Country

d) Know Your Customer

65 / 100

65) In feature scaling, which technique centers the data around zero?

a) Label encoding

b) Standardization

c) One-hot encoding

d) Normalization

66 / 100

66) Which of these are not a function of commercial banks?

a) Credit creation

b) Providing loans

c) Issuing currency

d) Accepting deposits

67 / 100

67) Which of the following is a hyperparameter in decision trees?

a) max_depth

b) Root node

c) Gini index

d) Accuracy

68 / 100

68) Which algorithm works well for linearly separable data?

a) SVM

b) Random Forest

c) Naive Bayes

d) K-Means

69 / 100

69) Which chart is most suitable for showing parts of a whole?

a) Scatter plot

b) Histogram

c) Line chart

d) Pie chart

70 / 100

70) Which ML algorithm is based on probability?

a) Naive Bayes

b) Random Forest

c) KNN

d) SVM

71 / 100

71) What is the primary goal of clustering?

a) Test hypotheses

b) Normalize data

c) Group similar items

d) Predict labels

72 / 100

72) What is the full form of KPI in data analytics?

a) Key Performance Indicator

b) Known Predictive Insight

c) Key Predictive Indicator

d) Known Process Input

73 / 100

73) Feedback-based ML is known as:

a) Reinforcement Learning

b) Supervised

c) Unsupervised

d) Semi-supervised

74 / 100

74) What does the 'k' represent in the K-Means algorithm?

a) The learning rate

b) The number of iterations

c) The number of clusters

d) The number of features

75 / 100

75) Which type of plot is best for bivariate analysis of numerical data?

a) Pie chart

b) Scatter plot

c) Bar chart

d) Line chart

76 / 100

76) Feedback-based ML is known as:

a) Unsupervised

b) Supervised

c) Reinforcement Learning

d) Semi-supervised

77 / 100

77) In time series forecasting, which component represents seasonal variation?

a) Level

b) Trend

c) Noise

d) Seasonality

78 / 100

78) Which method is used to normalize data?

a) One-hot encoding

b) StandardScaler

c) Tokenizer

d) LabelEncoder

79 / 100

79) Which command in SQL is used to remove a table?

a) CLEAR

b) DROP

c) REMOVE

d) DELETE

80 / 100

80) Which of the following are included in Priority Sector Lending?

a) All of the above

b) Education

c) Micro & Small Enterprises

d) Agriculture

81 / 100

81) What does NaN stand for in data science?

a) Not a Number

b) Not a Name

c) Not a Node

d) New added Number

82 / 100

82) ATM stands for:

a) Any Time Money

b) Automated Teller Machine

c) All of the above

d) Automatic Teller Machine

83 / 100

83) What is the full form of RMSE in regression analysis?

a) Relative Mean Squared Error

b) Root Mean Squared Error

c) Random Mean Squared Estimate

d) Root Model Squared Evaluation

84 / 100

84) ‘Bank rate’ is:

a) Rate at which banks give loans to customers

b) Rate charged for ATM usage

c) Rate at which RBI lends money to commercial banks

d) Rate at which money can be withdrawn

85 / 100

85) Which SQL command is used to remove duplicate records?

a) REMOVE

b) SELECT

c) DELETE

d) SELECT DISTINCT

86 / 100

86) Which of the following are types of supervised learning?

a) Both a and c

b) Regression

c) Clustering

d) Classification

87 / 100

87) What is a confusion matrix used for?

a) Feature scaling

b) Analyzing classification performance

c) Visualizing model accuracy

d) Data cleaning

88 / 100

88) Which scheme aims to promote financial inclusion by providing banking services to all households?

a) Ujjwala Yojana

b) PMJDY

c) Atal Pension Yojana

d) MGNREGA

89 / 100

89) What is the main purpose of exploratory data analysis (EDA)?

a) Data cleaning

b) Model selection

c) Feature scaling

d) Data visualization and summary

90 / 100

90) What is the default axis for dropna() in Pandas?

a) axis=0 (rows)

b) axis=None

c) axis='index'

d) axis=1 (columns)

91 / 100

91) Which of these evaluation metrics is used for regression?

a) RMSE

b) F1 Score

c) Precision

d) Recall

92 / 100

92) Which Python function returns a sequence of numbers?

a) int()

b) list()

c) slice()

d) range()

93 / 100

93) Which of the following is a continuous variable?

a) Blood Type

b) Height

c) Gender

d) Country

94 / 100

94) Which of the following is a dimensionality reduction technique?

a) Logistic Regression

b) Decision Tree

c) SVM

d) PCA

95 / 100

95) What is the output of len("Data Science") in Python?

a) 13

b) 10

c) 11

d) 12

96 / 100

96) Which among the following is a public sector insurance company?

a) ICICI Lombard

b) HDFC Life

c) SBI Life Insurance

d) National Insurance Company

97 / 100

97) What is the output of type(5.0) in Python?

a) number

b) double

c) int

d) float

98 / 100

98) What is a common use of dimensionality reduction?

a) Add more features

b) Increase training time

c) Reduce overfitting

d) Increase model complexity

99 / 100

99) What does A/B testing primarily evaluate?

a) Two variants of a product or strategy

b) Website performance

c) Model accuracy

d) Clustering quality

100 / 100

100) Which of these is NOT a distance metric?

a) Cosine similarity

b) Euclidean distance

c) Manhattan distance

d) Chi-square test

Your score is

The average score is 0%

Exit

Objectives

Key Responsibilities

Skills You’ll Gain

What type of ML is used when no labelled data is available?

Leave a Reply Cancel reply