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Welcome to the Introduction to Big Data MCQs Page

Dive deep into the fascinating world of Introduction to Big Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Introduction to Big Data, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Introduction to Big Data, 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 Introduction to Big Data. 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 Introduction to Big Data. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Introduction to Big Data MCQs | Page 32 of 43

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Q311.
How can data descriptors and metadata be used to save time in data analysis operations?

a.

By permanently storing all data.

b.

By eliminating the need for computational algorithms.

c.

By comparing document descriptors to identify duplicated documents.

d.

By simplifying the data retrieval process.

Discuss
Answer: (c).By comparing document descriptors to identify duplicated documents. Explanation:Data descriptors and metadata can be used to save time in data analysis operations by comparing document descriptors to identify duplicated documents and by facilitating other computational algorithms based on these descriptors.
Q312.
What is the main purpose of ArrayDBMS in the context of Big Data solutions?

a.

To extend database services with query support.

b.

To provide support for domain-independent arrays of arbitrary size.

c.

To eliminate the need for query languages.

d.

To optimize storage efficiency.

Discuss
Answer: (a).To extend database services with query support. Explanation:The main purpose of ArrayDBMS in the context of Big Data solutions is to extend database services with query support and a multi-dimensional array modeling.
Q313.
What does Rasdaman offer in terms of query language and execution in the ArrayDBMS context?

a.

A general-purpose declarative query language.

b.

Domain-specific query optimization.

c.

High-speed memory access units.

d.

BLOB storage for arrays.

Discuss
Answer: (a).A general-purpose declarative query language. Explanation:In the ArrayDBMS context, Rasdaman offers a general-purpose declarative query language, along with optimized internal execution, transfer, and storage.
Q314.
How is the conceptual model of Rasdaman ArrayDBMS structured?

a.

It consists of arrays of fixed size and type cells.

b.

It uses collections with an OID column and an array column.

c.

It relies on domain-specific query languages.

d.

It stores arrays as separate files.

Discuss
Answer: (b).It uses collections with an OID column and an array column. Explanation:The conceptual model of Rasdaman ArrayDBMS is structured using collections that contain an OID (object ID) column and an array column.
Q315.
What is the role of metadata in describing data arrays in Rasdaman ArrayDBMS?

a.

Metadata describe the position and reference system of data arrays.

b.

Metadata are used for query optimization.

c.

Metadata are not used in Rasdaman ArrayDBMS.

d.

Metadata are stored as separate objects.

Discuss
Answer: (a).Metadata describe the position and reference system of data arrays. Explanation:Metadata in Rasdaman ArrayDBMS describe the position and reference system of data arrays.
Q316.
How does Rasdaman decompose object arrays for query optimization?

a.

It stores object arrays as separate tables.

b.

It decomposes object arrays into "tiles" for query optimization.

c.

It relies on external query optimization tools.

d.

It uses metadata for query optimization.

Discuss
Answer: (b).It decomposes object arrays into "tiles" for query optimization. Explanation:Rasdaman decomposes object arrays into "tiles" for query optimization, forming memory access units, querying units, and processing units.
Q317.
What type of applications is Couchbase designed for?

a.

Batch processing applications.

b.

Real-time applications.

c.

Machine learning applications.

d.

Scientific computing applications.

Discuss
Answer: (b).Real-time applications. Explanation:Couchbase is designed for real-time applications.
Q318.
What is Couchbase's storage format?

a.

XML

b.

JSON (JavaScript Object Notation)

c.

CSV (Comma-Separated Values)

d.

SQL

Discuss
Answer: (b).JSON (JavaScript Object Notation) Explanation:Couchbase uses JSON (JavaScript Object Notation) as its storage format.
Q319.
What is the role of Memcached in Couchbase?

a.

It provides a query language for Couchbase.

b.

It handles system updates in Couchbase.

c.

It is responsible for optimizing network protocols and hardware.

d.

It stores data in a schema-based format.

Discuss
Answer: (c).It is responsible for optimizing network protocols and hardware. Explanation:Memcached in Couchbase is responsible for optimizing network protocols and hardware.
Q320.
What is the primary use case for Memcached?

a.

Distributed file storage.

b.

High-performance web applications.

c.

Data warehousing.

d.

Scientific simulations.

Discuss
Answer: (b).High-performance web applications. Explanation:Memcached is primarily used in high-performance web applications.
Page 32 of 43

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