1. Which technology enables "Smart Contracts" that self-execute when conditions are met?
Big Data Analytics
Robotic Process Automation (RPA)
Cloud Computing
Blockchain / DLT
Explanation:
Blockchain (Distributed Ledger Technology) allows for programmable contracts (Smart Contracts) that automatically execute, enforce, and verify the terms of an agreement without intermediaries.
2. Artificial Intelligence (AI) in banking is predominantly used for:
Manual ledger posting.
Printing passbooks.
Chatbots, Fraud Detection, and Credit Scoring.
Cash loading in ATMs.
Explanation:
AI algorithms analyze vast data for patterns (Fraud Detection), interact with customers (Chatbots), and assess risk profiles (Credit Scoring) efficiently.
3. Which banking channel typically has the lowest cost per transaction for the bank?
Internet/Mobile Banking
ATM
Branch Banking
Phone Banking (Call Center)
Explanation:
Digital channels (Internet/Mobile) have negligible marginal costs compared to physical infrastructure (Branch/ATM) or human-assisted channels.
4. In Cloud Computing, "SaaS" stands for:
Storage as a Service
System as a Service
Security as a Service
Software as a Service
Explanation:
SaaS is a cloud model where software applications are hosted by a vendor and made available to customers over the internet (e.g., Google Drive, CRM software), eliminating the need for banks to install and maintain the software locally.
5. As per RBI Digital Lending Guidelines, a "Lending Service Provider" (LSP) is:
An agent of the Regulated Entity (Bank/NBFC) who carries out functions like customer acquisition, pricing support, or recovery.
An agent of the borrower.
A software company making the app.
The Bank/NBFC itself.
Explanation:
LSPs act as the interface for digital loans. RBI mandates that LSPs must be monitored by the Regulated Entities, and the loan disbursal/repayment must flow directly between the RE and the borrower, bypassing the LSP's pool account.
6. The "e-Rupee" (e?) launched by RBI is a:
Cryptocurrency like Bitcoin.
Prepaid Wallet.
Central Bank Digital Currency (CBDC).
UPI App.
Explanation:
e-Rupee is the digital form of legal tender issued by the RBI. Unlike cryptocurrencies (which are private and volatile), CBDC is sovereign currency and exchanges 1:1 with cash.
7. The "3 Vs" that define Big Data are:
Verification, Validation, Value
Value, Vision, Victory
Voice, Video, Virtual
Volume, Velocity, Variety
Explanation:
Big Data is characterized by high Volume (amount of data), high Velocity (speed of data generation), and high Variety (structured and unstructured data types).
8. Robotic Process Automation (RPA) in banking is best suited for:
Complex credit appraisal requiring judgment.
Designing new loan products.
High-volume, repetitive, rule-based tasks (e.g., KYC data entry, reconciliation).
Strategic decision making.
Explanation:
RPA uses software "bots" to mimic human actions for routine tasks. It is ideal for processes that are repetitive, prone to human error, and follow strict rules (like account opening forms processing, reconciliation of ATM transactions), freeing up humans for higher-value work.
9. Which technological initiative in banking directly contributes to "Green Banking"?
E-Statements and Digital Wallets reducing paper usage.
Installing more Air Conditioners in branches.
Printing receipts for every balance enquiry.
Using diesel generators for power backup.
Explanation:
Green Banking aims to reduce the carbon footprint. Technologies that promote paperless transactions (Net banking, E-Statements, Mobile Wallets) directly support this by saving paper and reducing the need for physical transport.
10. In the context of Blockchain technology, what is a "Smart Contract"?
A paper contract scanned into PDF.
A legal document signed digitally.
A contract between the bank and the internet provider.
Self-executing code on a blockchain that automatically enforces terms when conditions are met.
Explanation:
Smart contracts are digital protocols (code) deployed on a blockchain. They automatically execute transactions (like releasing funds) only when specific pre-defined conditions are triggered (e.g., goods delivered), eliminating the need for intermediaries and increasing trust.
11. In Banking CRM (Customer Relationship Management), "Analytical CRM" primarily focuses on:
Automating the sales force.
Mining customer data to identify patterns, segmentation, and profitability to design targeted marketing campaigns.
Direct interaction with customers (Call centers, branches).
Storing customer complaints.
Explanation:
Operational CRM handles customer touchpoints. Analytical CRM works in the backend, analyzing the vast data generated by Operational CRM to provide insights (e.g., "Which customer is likely to buy a home loan?") using Data Mining and BI tools.
12. A key feature of the Central Bank Digital Currency (CBDC) or e-Rupee is that:
It is highly volatile like Bitcoin.
It earns high interest for the holder.
It is a liability of the Commercial Bank.
It appears as a liability on the Central Bank's (RBI) balance sheet, just like physical cash.
Explanation:
CBDC is sovereign currency in digital form. Unlike bank deposits (liability of the commercial bank), CBDC is a direct claim on the Central Bank. It does not typically earn interest (to prevent it from competing with bank deposits) and exchanges at par with cash.
13. Which Cloud Deployment Model is considered most suitable for banks to store sensitive Core Banking Data due to privacy and security concerns?
Open Cloud
Community Cloud
Private Cloud
Public Cloud
Explanation:
A Private Cloud is dedicated infrastructure for a single organization. It offers the highest level of security and control, which is essential for core banking data where data privacy regulations are strict. Public cloud is shared and generally used for non-critical apps.
14. How does Machine Learning (ML) improve Fraud Detection in banking?
By hiring more security guards.
By identifying anomalies and patterns in transaction data that deviate from a user's normal behavior in real-time.
By manually checking every cheque.
By encrypting emails.
Explanation:
ML models learn the customer's spending behavior over time. If a transaction occurs that is unusual (e.g., huge amount, strange location, odd time), the ML system flags it instantly as potential fraud, far faster and more accurately than rule-based systems.
15. The "Account Aggregator" (AA) ecosystem in India uses which technology standard to share financial data securely with user consent?
Blockchain
Email Attachments
FTP (File Transfer Protocol)
Open APIs (Application Programming Interfaces)
Explanation:
The AA framework is built on standardised Open APIs. These APIs allow Financial Information Providers (Banks) to share data with Financial Information Users (Lenders) securely and in real-time, only after the customer gives digital consent via the AA handle.
16. Why might a bank adopt a "Hybrid Cloud" strategy?
To keep critical/sensitive data on a Private Cloud (security) while bursting non-critical workloads to a Public Cloud (scalability).
To avoid using the internet.
Because it is free of cost.
To store all data publicly.
Explanation:
Hybrid Cloud offers the best of both worlds. Banks can maintain strict compliance and security for core customer data on on-premise/private clouds, while leveraging the massive computing power and lower cost of public clouds for testing, analytics, or peak loads.
17. Which framework is commonly used for distributed storage and processing of Big Data in banking?
Explanation:
Apache Hadoop is an open-source software framework used for distributed storage and processing of huge datasets (Big Data) using the MapReduce programming model.
18. The "Internet of Things" (IoT) in banking can be used for:
Writing loan policy.
Asset monitoring (e.g., tracking financed vehicles) and personalized customer offers via connected devices.
Printing currency.
Issuing cheque books.
Explanation:
IoT refers to a network of physical objects embedded with sensors. Banks use it for collateral management (tracking smart warehouses/vehicles) and transforming payment experiences (smartwatches, cars).
19. Chatbots in banking use "NLP" to understand customer queries. What does NLP stand for?
Network Layer Protocol
Natural Language Processing
Neural Link Process
New Loan Processing
Explanation:
NLP is a branch of AI that gives computers the ability to understand, interpret, and respond to text and spoken words in the same way human beings can.
20. How will 5G technology primarily benefit banking operations?
By reducing the cost of electricity.
By providing ultra-low latency and high speed, enabling seamless mobile banking, AR/VR services, and IoT connectivity.
By eliminating the need for servers.
By printing money faster.
Explanation:
5G allows for faster data transfer with minimal delay (latency). This is crucial for real-time fraud detection, high-frequency trading, and immersive customer experiences.
21. Why is "Quantum Computing" considered a potential threat to current banking security?
It is too expensive.
It makes computers slower.
It could potentially break current encryption standards (like RSA) used to secure data.
It consumes too much electricity.
Explanation:
Quantum computers can solve complex mathematical problems much faster than classical computers. This capability could allow them to crack asymmetric encryption algorithms (like RSA) that currently underpin banking security, necessitating a move to Post-Quantum Cryptography.