The 2017 DILR slot 1 examination featured a comprehensive analysis of India\“s local products, focusing on their economic impact and cultural significance. This section tested candidates\“ ability to interpret data related to traditional Indian goods and their market performance.
One of the key case studies involved the handloom textile industry, particularly examining the production and sales data of Banarasi silk sarees from Varanasi. The dataset included information about weaving techniques, regional variations, and export patterns to international markets.
Another important product category covered was Indian spices, with detailed analysis of turmeric production in Andhra Pradesh and cardamom cultivation in Kerala. The questions required candidates to analyze seasonal variations, pricing trends, and supply chain logistics for these essential Indian commodities.
The examination also featured data interpretation sets on traditional Indian handicrafts, including Madhubani paintings from Bihar and blue pottery from Rajasthan. These questions tested analytical skills through production statistics, artisan demographics, and market demand patterns.
Agricultural products formed another significant component, with datasets focusing on basmati rice exports from Punjab and tea production in Assam. Candidates needed to demonstrate their ability to interpret complex data about cultivation methods, yield patterns, and international trade relationships.
The 2017 DILR slot 1 successfully evaluated candidates\“ logical reasoning abilities through real-world data about India\“s diverse local products, emphasizing the importance of data-driven decision making in understanding traditional industries and their contemporary market dynamics. |
