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Welcome to the Big Data Exploration MCQs Page

Dive deep into the fascinating world of Big Data Exploration with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Big Data Exploration, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Big Data Exploration, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Big Data Computing.

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Check out the MCQs below to embark on an enriching journey through Big Data Exploration. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Big Data Computing.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Big Data Exploration. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Big Data Exploration MCQs | Page 9 of 9

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Q81.
In Sciborg, what drives the creation of weighted samples?

a.

A predefined sampling algorithm

b.

Random selection of data

c.

Past query-processing actions and data properties

d.

Hierarchical data structures

Discuss
Answer: (c).Past query-processing actions and data properties Explanation:In Sciborg, the creation of weighted samples is driven by past query-processing actions and the properties of the data, allowing for more relevant and informative sampling.
Q82.
Which type of query processing does Sciborg prioritize?

a.

Completeness-based query processing

b.

Correctness-based query processing

c.

Response-time-based query processing

d.

Storage-efficient query processing

Discuss
Answer: (c).Response-time-based query processing Explanation:Sciborg prioritizes response-time-based query processing, aiming to provide quick responses to queries, especially in interactive scenarios.
Q83.
What is the trade-off made in the Sciborg approach to query processing?

a.

It sacrifices response times for correctness and completeness.

b.

It sacrifices correctness and completeness for improved response times.

c.

It focuses on hierarchical data structures for storage efficiency.

d.

It prioritizes correctness and completeness over response times.

Discuss
Answer: (b).It sacrifices correctness and completeness for improved response times. Explanation:The trade-off made in the Sciborg approach to query processing is that it sacrifices correctness and completeness in favor of improved response times, particularly in interactive query scenarios.
Q84.
What is a characteristic of the Blink project?

a.

Seamless integration with cloud technology

b.

Strict adherence to correctness and completeness

c.

Minimal storage overhead for samples

d.

Focus on hierarchical data structures

Discuss
Answer: (a).Seamless integration with cloud technology Explanation:One characteristic of the Blink project is its seamless integration with cloud technology, allowing it to scale to massive amounts of data and processing nodes.
Q85.
What is a common vision shared by both the Blink and Sciborg projects?

a.

Creating database kernels that explicitly require users to create and query samples.

b.

Sacrificing performance for the sake of correctness and completeness.

c.

Supporting query processing over samples as a core feature of the database system.

d.

Focusing on in-memory data processing.

Discuss
Answer: (c).Supporting query processing over samples as a core feature of the database system. Explanation:Both the Blink and Sciborg projects share the vision of creating database kernels where query processing over samples is a core feature of the system.
Q86.
How does the one-minute database kernels approach differ from other exploration-based database kernel ideas?

a.

It focuses on achieving correctness and completeness at a lower level of database operators.

b.

It emphasizes hierarchical data structures for sample storage.

c.

It prioritizes expensive actions over performance.

d.

It avoids sacrificing correctness for performance.

Discuss
Answer: (a).It focuses on achieving correctness and completeness at a lower level of database operators. Explanation:The one-minute database kernels approach differs from other exploration-based database kernel ideas by pushing the idea of sacrificing correctness for performance to a lower level, such as database operators, to achieve better control over performance parameters.
Q87.
What is one of the main challenges associated with the one-minute database kernels approach?

a.

Integrating seamlessly with cloud technology

b.

Providing quality guarantees for query results

c.

Creating and managing multiple samples efficiently

d.

Achieving strict adherence to correctness and completeness

Discuss
Answer: (b).Providing quality guarantees for query results Explanation:One of the main challenges associated with the one-minute database kernels approach is providing quality guarantees for query results despite sacrificing correctness for performance.
Q88.
What is the main idea behind the dbTouch project?

a.

Enabling users to write SQL queries more easily

b.

Allowing users to visualize data and interact with it through touch-based gestures

c.

Creating a new database query language

d.

Focusing on formulating complex queries for data exploration

Discuss
Answer: (b).Allowing users to visualize data and interact with it through touch-based gestures Explanation:The main idea behind the dbTouch project is to enable users to visualize data and interact with it through touch-based gestures, making data exploration more accessible.
Q89.
How does dbTouch differ from traditional database systems?

a.

dbTouch requires users to write complex SQL queries.

b.

dbTouch focuses on processing all data at once.

c.

dbTouch reacts instantly to touch-based interactions and processes data in response to user gestures.

d.

dbTouch relies on a traditional SQL query language.

Discuss
Answer: (c).dbTouch reacts instantly to touch-based interactions and processes data in response to user gestures. Explanation:dbTouch differs from traditional database systems in that it reacts instantly to touch-based interactions and processes data in response to user gestures, rather than requiring users to write complex SQL queries.
Q90.
What is one of the main challenges associated with dbTouch?

a.

Designing a visual interface for data exploration

b.

Providing traditional SQL query capabilities

c.

Reacting instantly to every touch and providing quick response times

d.

Controlling the order and kind of data processed for every query session

Discuss
Answer: (c).Reacting instantly to every touch and providing quick response times Explanation:One of the main challenges associated with dbTouch is designing database kernels that can react instantly to every touch and provide quick response times.
Page 9 of 9

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