CCC Big Data Foundation Practice Exam

The Cloud Credential Council (CCC) offers the Big Data Foundation certification program to assess an individual's grasp of fundamental big data concepts and technologies. Earning this certification validates your basic understanding of big data, making you a suitable candidate for entry-level big data roles or further learning in the field.

Who Should Take This Exam?

This certification is ideal for:

• Individuals New to Big Data: Those with little to no prior big data experience seeking an introductory understanding of the field.
• IT Professionals (Upskilling): IT professionals aiming to expand their skillset and explore how big data can complement their existing technical knowledge.
• Business Professionals: Business analysts, project managers, or anyone on the business side who wants to gain a foundational understanding of big data to make data-driven decisions.

Prerequisites

There are no formal prerequisites for taking the CCC Big Data Foundation exam. However, a basic understanding of computer science terminology and an interest in data analysis would be beneficial.

Roles and Responsibilities 

• While the CCC Big Data Foundation focuses on foundational knowledge, it can pave the way for various entry-level roles in the big data field. Here are some examples:
• Data Analyst Trainee: You might assist senior data analysts with data collection, cleaning, and organization tasks under their guidance.
• Junior Business Intelligence Analyst: You could contribute to gathering and analyzing business data to support data-driven decision making, leveraging the basics of big data concepts learned in the certification.
• Big Data Support Specialist: In this role, you could provide technical support to big data users or assist with basic data management tasks within an organization.

Exam Details 

• Exam Duration 60 mins
• Exam Format Multiple Choice
• Number of Questions 40 Questions
• Pass Score 65% and above

Course Structure 

CCC Big Data Foundation exam topics are:

1. Module 1: Understand about Big Data Fundamentals

• Learning about Big Data – History, Overview, and Characteristics
• Learning about Big Data Technologies – Overview
• Learning about Big Data Success Stories
• Learning about Big Data – Privacy and Ethics
• Learning about Big Data Projects

2. Module 2: Understand Big Data Sources

• Learning about Enterprise Data Sources
• Learning about Social Media Data Sources
• Learning about Public Data Sources

3. Module 3: Understand the Data Mining – Concepts and Tools

• Learning about Data Mining – Introduction
• Learning about Data Mining – Tools

4. Module 4: Understand about Big Data Technologies – Hadoop

• Learning about Hadoop Fundamentals
• Learning the process of Installing and Configuring
• Learning about MapReduce
• Learning about Data Processing with Hadoop

5. Module 5: Understand about Big Data Technologies – MongoDB

• Learning about MongoDB Fundamentals
• Learning the process of Installing and Configuring
• Learning about Document Databases
• Learning about Data Modelling with Document Database