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Reading Comprehension Questions for RBI GRADE B

Free, AI-curated practice for the Reading Comprehension section of RBI GRADE B. We have 15+ verified questions in this bank. Below: 5 sample questions. Sign up free to unlock unlimited practice + AI explanations + per-topic analytics.

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📍 Reading Comprehension is also tested in:
CDS (42)CTET PAPER II (37)CTET PAPER I (20)IBPS RRB PO (15)

Sample questions

Q1 · medium · AI-verified
Artificial intelligence is reshaping the contours of financial supervision in ways that were barely conceivable a decade ago. Regulatory technology, commonly called RegTech, refers to the application of technology — particularly machine learning, natural language processing, and big data analytics — to the compliance, reporting, and risk-monitoring functions of financial institutions and their overseers. For regulators such as the Reserve Bank of India, AI-powered supervisory tools offer the tantalising prospect of continuous, real-time surveillance of bank balance sheets, early-warning systems for liquidity stress, and automated detection of suspicious transaction patterns that might indicate money laundering or fraud. The RBI's DAKSH portal, introduced to strengthen supervisory oversight, exemplifies this trend toward technology-enabled regulation. However, the deployment of algorithmic supervision is not without peril. Machine learning models trained on historical data may encode the biases and blind spots of past crises, remaining poorly calibrated for novel financial shocks. The opacity of deep-learning systems — sometimes called the black-box problem — makes it difficult for regulators themselves to explain or legally defend algorithmic decisions that adversely affect regulated entities. Furthermore, the concentration of AI capability among a handful of global technology vendors introduces systemic dependencies that could themselves become sources of financial fragility if a critical vendor suffers a breach or outage. The author's tone in this passage can best be described as:
  1. Strongly cautionary, urging regulators to avoid algorithmic tools given their inherent unpredictability.
  2. Detached and purely descriptive, offering no evaluation of the technology's merits or dangers.
  3. Enthusiastically supportive of AI adoption by central banks such as the Reserve Bank of India.
  4. Balanced and analytical, acknowledging both the promise and the risks of AI in financial regulation.
Q2 · medium · AI-verified
India's social protection architecture has expanded significantly over the past two decades, driven by landmark legislation and large-scale welfare programmes. The Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), enacted in 2005, guarantees 100 days of wage employment per year to rural households, functioning as both a poverty alleviation tool and an automatic economic stabiliser during downturns. The National Food Security Act of 2013 extended subsidised foodgrains to approximately two-thirds of the population, underscoring the state's commitment to addressing nutritional deprivation. Direct Benefit Transfer (DBT) mechanisms, progressively linked to Aadhaar, have sought to reduce leakages and ensure that welfare payments reach intended beneficiaries. Despite these advances, persistent challenges remain: exclusion errors in beneficiary databases leave genuinely vulnerable households without coverage, while inclusion errors divert resources to ineligible claimants. Feminists and development economists have also highlighted the gendered dimensions of social protection, pointing out that women often lack independent access to bank accounts and identity documents, limiting their effective participation in DBT-linked schemes. More recently, debates have intensified around universalising basic income guarantees, with advocates arguing that a Universal Basic Income would simplify the welfare architecture and provide a dignified floor for all citizens, though fiscal sustainability concerns continue to temper enthusiasm. The author's tone throughout the passage can best be described as:
  1. Indifferent and detached, presenting social protection as an issue of marginal relevance to economic policy.
  2. Balanced and analytical, acknowledging achievements while candidly identifying limitations.
  3. Strongly critical of the government's social protection programmes, calling for their immediate dismantling.
  4. Unambiguously celebratory, presenting India's welfare architecture as a global model for other nations.
Q3 · medium · AI-verified
Fiscal federalism in India operates through a complex web of constitutional provisions, institutional arrangements, and intergovernmental transfers that together determine how financial resources are allocated between the Union and the States. The Finance Commission, constituted under Article 280 of the Constitution every five years, plays a pivotal role in recommending the share of central taxes to be devolved to states and the grants-in-aid to be provided to them. The Fifteenth Finance Commission, chaired by N.K. Singh, recommended a 41 percent share of the divisible pool for states — a figure that has been maintained by the Sixteenth Finance Commission as well. Beyond tax devolution, states also receive funds through Centrally Sponsored Schemes (CSS), which have historically been criticised for limiting states' fiscal autonomy since they come with conditions attached. The NITI Aayog, which replaced the Planning Commission in 2015, no longer allocates plan funds but plays an advisory role in policy coordination. Economists argue that strengthening the fiscal capacity of urban local bodies and panchayats — the third tier of governance — is equally vital, as grassroots institutions often face acute resource constraints despite being responsible for essential public services. According to the passage, which of the following is a valid criticism of Centrally Sponsored Schemes?
  1. They are unconstitutional as they bypass the Finance Commission's mandate under Article 280.
  2. They devote 41 percent of the divisible pool exclusively to urban local bodies and panchayats.
  3. They restrict the fiscal autonomy of states because they are accompanied by conditions stipulated by the Centre.
  4. They were introduced by the NITI Aayog in 2015 as a replacement for plan funds.
Q4 · medium · AI-verified
Sovereign Green Bonds (SGrBs) represent a relatively recent instrument through which governments raise debt capital specifically to finance environmentally sustainable projects. India issued its first tranche of Sovereign Green Bonds in January 2023, raising ₹8,000 crore, followed by a second tranche that brought the total to ₹16,000 crore for the fiscal year 2022-23. The proceeds were earmarked for projects in renewable energy, energy efficiency, clean transportation, and sustainable water management, in line with the Green Bond Framework published by the Ministry of Finance. A defining feature of Sovereign Green Bonds is the 'use-of-proceeds' requirement: funds must be allocated only to pre-approved green expenditures, and the issuer is obligated to publish an annual allocation report verified by an independent external reviewer. This transparency mechanism is designed to prevent 'greenwashing' — the practice of labelling conventional debt as green without genuine environmental impact. However, economists have noted that India's SGrBs were priced at a 'greenium' of only 5-6 basis points below conventional bonds, suggesting that the market has not yet fully rewarded green issuance with significantly lower borrowing costs. In the context of the passage, the word 'greenium' most nearly means:
  1. A regulatory certification granted by the Ministry of Finance confirming compliance with the Green Bond Framework.
  2. The additional premium paid by investors to purchase green bonds due to their higher perceived safety.
  3. A financial penalty imposed on issuers who fail to allocate proceeds to approved green projects.
  4. The marginal reduction in borrowing cost (yield) that an issuer obtains by labelling bonds as green compared to conventional bonds.
Q5 · medium · AI-verified
The concept of financial inclusion has evolved considerably since its early articulation in development economics. Initially framed narrowly as access to basic banking services — a savings account and a payments mechanism — the concept has broadened over successive decades to encompass affordable credit, insurance, pension products, and digital financial services tailored to the needs of low-income populations. India's journey toward financial inclusion has been marked by landmark policy interventions: the nationalisation of banks in 1969, the priority-sector lending framework, the Self-Help Group–bank linkage programme of the 1990s, and most recently the Pradhan Mantri Jan Dhan Yojana, launched in 2014, which enrolled over 500 million previously unbanked individuals into the formal financial system within a decade. Yet access alone does not guarantee meaningful inclusion. Research consistently shows that dormant accounts, low transaction volumes, and inadequate financial literacy collectively limit the transformative potential of formal financial membership. True financial inclusion, scholars argue, requires not merely presence in the system but active, informed, and habitual engagement with it — a distinction that policy targets measured in account-opening statistics often obscure. The challenge for regulators and policymakers is therefore to move from a supply-side model focused on product availability to a demand-side model centred on capability building and trust. In the context of the passage, what does the author imply by the phrase 'access alone does not guarantee meaningful inclusion'?
  1. Having a bank account is insufficient if individuals do not actively and informedly use the financial services available to them.
  2. Financial inclusion is meaningful only when it reaches rural areas rather than urban populations.
  3. Access to credit and insurance is more important than access to basic savings accounts for achieving financial inclusion.
  4. The government's financial inclusion schemes have largely failed to enroll the unbanked population into formal banking.
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