Preview Questions Data Analyst | Role Specific Skill

Question 1: In PostgreSQL, which feature allows for automatic failover and high availability in critical banking applications?

Which action should you take?

Choose only one option

Point-in-Time Recovery

Foreign Data Wrappers

Logical Replication

Hot Standby

Question 2: In the context of BFSI, what is the primary advantage of using Exponential Smoothing methods over Moving Averages for trend analysis?

Which action should you take?

Choose only one option

Simplicity of implementation

More interpretable results

Requires less computational power

Better handling of trend and seasonality

Question 3: When processing large amounts of financial transaction data, how can you handle performance issues due to inefficient data cleaning methods?

Which action should you take?

Choose only one option

Optimize data cleaning code using vectorized operations

Ignore performance issues as long as data cleaning is done

Increase the amount of RAM available to the system

Use a manual row-by-row cleaning method

Question 4: When preparing data for a financial risk model, how do you identify and manage "Multicollinearity" among predictor variables?

Which action should you take?

Choose only one option

I use methods like Variance Inflation Factor (VIF) or correlation matrices to detect and mitigate multicollinearity

I treat multicollinearity as a sign of irrelevant data and remove the predictors

I use regularization techniques to manage multicollinearity but do not analyze it directly

I ignore multicollinearity if the dataset is large enough

Question 5: In Tableau, which feature allows you to create interactive dashboards that update automatically based on user inputs through parameters?

Which action should you take?

Choose only one option

Parameters

Filters

Actions

Sets

Question 6: What is the key benefit of implementing row-level security (RLS) in BI tools like Power BI when generating reports for different departments in a bank?