MCB Data Cloud Certification Practice Exam 2026 - Free Data Cloud Certification Practice Questions and Study Guide

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Which data formats are commonly used in MCB Data Cloud?

Text, XML, HTML, and YAML

JSON, Parquet, Avro, and CSV

The correct answer includes JSON, Parquet, Avro, and CSV because these formats are widely utilized for data interchange and storage in cloud data environments, particularly in contexts like MCB (Multi-Cloud Database).

JSON (JavaScript Object Notation) is lightweight and easy to read, making it ideal for data interchange between web applications and servers. It is commonly used in APIs and data sharing where readability and ease of parsing are important.

Parquet is a columnar storage file format optimized for use with big data processing frameworks. It allows for efficient querying and storage, making it popular in data lakes and analytics scenarios.

Avro is a binary serialization format that is designed to work with large data sets. It offers schema evolution, which allows the format to accommodate changes over time, thus making it a robust choice for data integration tasks.

CSV (Comma-Separated Values) is a simple format used to store tabular data, which can be easily read by various software and programming languages. Its simplicity and broad support make it a staple format for data import and export operations.

The other options include formats that are less suitable for the specific scenarios addressed in cloud data environments. While text and HTML are used for storing information, they don't match the efficiency or structure

Get further explanation with Examzify DeepDiveBeta

SQL, PHP, TXT, and DOC

Binary, Excel, Markdown, and JPG

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