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Practice Question - 68 (Connected Data Sets) | 100 DILR Questions for CAT Preparation PDF Download

Directions for the following four questions:
Answer the questions on the basis of the information given below.

Prof. Singh has been tracking the number of visitors to his homepage? His service provider has provided him with the following data on the country of origin of the visitors and the university they belong to.

Q1: To which country does University 5 belong?
(a) India or Netherlands but not USA
(b) India or USA but not Netherlands
(c) Netherlands or USA but not India
(d) India or USA but not UK

Practice Question - 68 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

View Answer

Ans: (a)
On day 3,
2 people were from university 4 and 1 person was from university 6.
2 people were from Uk and 1 person was from USA.
Hence University 4 = UK
and University 6 = USA
On day 2,
1 person was from university 3 and 2 people were from university 8.
1 person was from the Netherlands and 2 people were from India.
Hence, Univerisity 3 = Netherlands
University 8 = India
On day 1,
1 person was from University 1
1 person was from University 5
2 persons were from university 2
2 people were from university 7.
1 person was from India
1 person was from the Netherlands
2 persons were from Canada
2 persons were from the UK.
Hence University 1 can be from India/ Netherlands
University 5 can be from Netherlands/ India
University 2 can be from UK/ Canada
University 7 can be from Canada/ UK.
According to given conditions there are following possibilities of university belonging from specific country .

We can clearly make out that University 5 belongs to India or Netherlands but not USA. Hence option (a).

Q2: University 1 can belong to
(a) UK
(b) Canada
(c) Netherlands
(d) USA

View Answer

Ans: (c)
According to given conditions there are following possibilities of university belonging from specific country .

Practice Question - 68 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

We can see that University 1 can belong to Netherlands out of the given options.

Q3: Which among the listed countries can possibly host three of the eight listed universities?
(a) Only UK
(b) Only India
(c) Both India and UK
(d) None

View Answer

Ans: (d)
According to given conditions there are following possibilities of university belonging from specific country .

Practice Question - 68 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

Thus we can see that no country can can possibly host three of the eight listed universities.

Q4: Visitors from how many universities from UK visited Prof. Singh's homepage in the three days?
(a) 1
(b) 2
(c) 3
(d) 4

View Answer

Ans: (b)
On day 3, there were 2 visitors from UK and 1 from USA. On the same day, the site was visited by 2 persons from University 4 and 1 from University 6. So University 4 is located in UK and University 6 is in USA. Similar reasoning for day 2 gives us the conclusion that University 3 is located in Netherlands and University 8 is in India. On day 1, the number of visitors from USA is 1 and that from University 6 is 1. University 6 is in USA (derived above), which implies no other university is in USA. The number of visitors from India on day 1 is 1. Also, no visitor from University 8, which is in India has visited the site on day 1. This implies that one of University 1 and University 5 is in India and the other in Netherlands. A similar logic gives us that one of University 2 and University 6 is in UK and the other in Canada.

Practice Question - 68 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

We can see that university 4 and university 7 from UK visited prof. Singh's homepage in the three days.

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FAQs on Practice Question - 68 (Connected Data Sets) - 100 DILR Questions for CAT Preparation

1. What are connected data sets, and why are they important in data analysis?

Ans. Connected data sets refer to collections of data that are interrelated and can be analyzed together to derive insights. They are important because they allow analysts to understand relationships and patterns that may not be evident when data is examined in isolation. By connecting different data sources, analysts can gain a more comprehensive view of the subject matter, facilitating better decision-making.

2. How can I effectively analyze connected data sets?

Ans. To effectively analyze connected data sets, one should start by identifying the relationships between different data sources. Utilizing data visualization tools can help in mapping these connections. Additionally, employing statistical methods and software that support data integration and analysis can enhance the understanding of the data. It is also crucial to ensure data quality and consistency across the connected sets to draw accurate conclusions.

3. What tools are commonly used for managing connected data sets?

Ans. Various tools are available for managing connected data sets, including data integration platforms like Apache NiFi and Talend, as well as data visualization tools such as Tableau and Microsoft Power BI. Database management systems like SQL and NoSQL databases also play a key role in storing and querying connected data. Moreover, programming languages like Python and R provide libraries specifically designed for data manipulation and analysis.

4. What challenges might arise when working with connected data sets?

Ans. Challenges when working with connected data sets include data compatibility issues, as different data sources may have varying formats and structures. Data quality can also be a concern, as inconsistencies or inaccuracies can lead to misleading insights. Additionally, managing large volumes of data can strain computational resources, making it essential to optimize data storage and processing methods to ensure efficiency.

5. How can connected data sets enhance business decision-making?

Ans. Connected data sets can significantly enhance business decision-making by providing a holistic view of the organization's operations. By analyzing interconnected data, businesses can identify trends, correlations, and anomalies that inform strategies and actions. This comprehensive analysis supports more informed decisions, ultimately leading to improved efficiency, customer satisfaction, and profitability.

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Sep 30, 2025 Last updated

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