Preview Questions Data Analyst | Role Specific Skill

Question 1: When performing time series analysis, what is the main purpose of decomposition?

Which action should you take?

Choose only one option

To reduce noise and improve model accuracy

To identify trends, seasonality, and residual components

To smooth out the data for easier analysis

To predict future values using autoregression

Question 2: What is the purpose of outlier detection in BFSI data analysis?

Which action should you take?

Choose only one option

To eliminate errors and inconsistencies in data

To avoid underfitting in machine learning models

To enhance the prediction accuracy of models

To ensure compliance with regulatory standards

Question 3: Which of the following is a key assumption of linear regression that must be checked to ensure the validity of the model in credit risk analysis?

Which action should you take?

Choose only one option

The dependent variable is categorical

The residuals are normally distributed

The model includes all possible interaction terms

There is no relationship between the independent variables and the dependent variable

Question 4: When generating "Annual Reports" for financial institutions, how do you ensure that your data reflects both short-term and long-term performance?

Which action should you take?

Choose only one option

I focus solely on quarterly data, ignoring long-term trends

I include key performance indicators (KPIs) such as annual growth rates, profitability, and liquidity measures to capture both time frames

I use average performance data across multiple years without distinguishing short-term or long-term

I report data without differentiating between short-term and long-term performance

Question 5: How would you handle inconsistent currency values across different countries in a financial dataset?

Which action should you take?

Choose only one option

Use the highest value currency for all entries

Remove all rows that contain foreign currency

Ignore the differences in currency and treat them as equal

Convert all currencies into one base currency using exchange rates

Question 6: What is the purpose of a "Confidence Interval" in the context of financial forecasting, and how do you interpret it?

Which action should you take?

Choose only one option

It measures the average value of a financial dataset

It provides an upper bound for financial returns, ensuring risk minimization

It represents the range of values for future financial outcomes

A confidence interval provides a range of values within which the true population parameter is likely to fall, given the data