Data Science

Big Data

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Which of the following analytical capabilities are provided by information management company?
Stream Computing
Content Management
Information Integration
All of the mentioned
Explanation:
With stream computing, store less, analyze more and make better decisions faster.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
The big volume indeed represents Big Data
The data growth and social media explosion have changed how we look at the data
Big Data is just about lots of data
All of the mentioned
Explanation:
Big Data is actually a concept providing an opportunity to find new insight into your existing data as well guidelines to capture and analysis your future data.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
Which of the following characteristic of big data is relatively more concerned to data science?
Velocity
Variety
Volume
None of the mentioned
Explanation:
Big data enables organizations to store, manage, and manipulate vast amounts of disparate data at the right speed and at the right time.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
Point out the correct statement.
Machine learning focuses on prediction, based on known properties learned from the training data
Data Cleaning focuses on prediction, based on known properties learned from the training data
Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art
None of the mentioned
Explanation:
Visualization is becoming a very important aspect.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Beyond Volume, variety and velocity are the issues of big data veracity.
True
False
Explanation:
Data Veracity is uncertain or imprecise data.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Which of the following term is appropriate to the below figure?
Large Data
Big Data
Dark Data
None of the mentioned
Explanation:
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
Which of the following step is performed by data scientist after acquiring the data?
Data Cleansing
Data Integration
Data Replication
All of the mentioned
Explanation:
Data cleansing, data cleaning or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
3V’s are not sufficient to describe big data.
True
False
Explanation:
IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
Which of the following language should be replaced with the question mark in the below figure?
Java
PHP
COBOL
None of the mentioned
Explanation:
Java is used for processing data in Big data Analytics.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Which of the following focuses on the discovery of (previously) unknown properties on the data?
Data mining
Big Data
Data wrangling
Machine Learning
Explanation:
Data munging or data wrangling is loosely the process of manually converting or mapping data from one “raw” form into another format that allows for more convenient consumption of the data with the help of semi-automated tools.