Page 111 - Data Science class 11
P. 111
Solved Exercise
Objective Type Questions (Section A)
A. Tick ( ) the correct option.
1. Which of following is not a part of data ecosystem?
a. a community or group of living organisms that live in and interact with each other in a specific environment.
b. a collection of infrastructure, analytics, and applications used to capture and analyse data
c. programming languages, packages, algorithms, cloud-computing services, and general infrastructure
d. all persons connected with data gathering, like data scientist, data administer, etc.
2. Which of the following is a part of data ecosystem?
a. Machine logs include event logs from servers, machines, mobile devices etc.
b. Sensor data streams from industrial machinery, meters, medical, IoT devices etc.
c. Social media like Facebook, Twitter, LinkedIn etc.
d. All of the above.
3. Which of the following is not a True statement?
a. Insiders don’t act maliciously most of the time. That’s why it’s harder to detect their harmful activities than
it is to detect external attacks.
b. Insiders are very intelligent
c. Insiders know weaknesses in an organisation’s cybersecurity.
d. Insiders know the location and nature of sensitive data they can abuse.
4. Threats from outside the organisation may include:
a. hackers and cybercriminals,
b. competitors
c. any malicious person who is not affiliated with the company.
d. All of these
5. Which of the following is not a part of data governance?
a. execution of data governance by defining the essential process components of a data governance program.
b. implementing process changes to improve and manage data quality.
c. earning profit by hook or by crook.
d. managing data security issues.
6. Why should data governance be resorted to by any organisation?
a. For data security b. For business benefit
c. It is a regulatory requirement d. All of these
7. Which of the following is not a benefit of implementing a data governance framework?
a. Procedures around regulation and compliance activities become exact.
b. competitiveness of data
c. There is greater transparency within data-related activities.
d. Increase in value of organisation’s data.
Ethics in Data Science 109

