Data Security

Securely managing Big Data environments

Understand the importance of data security in Big Data environments, including data encryption, user access control, auditing and compliance.

5 minutes 5 Questions

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Big Data Engineer - Data Security Example Questions

Test your knowledge of Amazon Simple Storage Service (S3)

Question 1

What is the purpose of hashing?

To compress data to reduce storage requirements To archive data for long-term storage To encrypt data so that it is unreadable without a decryption key To parse data into a standardized format To convert data of arbitrary length into a fixed-length string that represents the original data To replace sensitive data with fictitious yet realistic data

Correct Answer: To convert data of arbitrary length into a fixed-length string that represents the original data

Hashing is the process of converting data of arbitrary length into a fixed-length string that represents the original data. A hash function takes input data and produces a hash value that is typically used for digital signatures, authentication, and data integrity verification. Hashing is a one-way process, meaning it is not possible to reverse engineer the original data from the hash value.

Question 2

What is the principle of defense in depth?

To restrict access to data based on job function To implement multiple layers of security controls in order to protect against a range of attacks To scan for viruses and malware on a regular basis To backup data regularly to protect against data loss To store data on multiple physical devices to protect against hardware failure To regularly update software to prevent vulnerabilities

Correct Answer: To implement multiple layers of security controls in order to protect against a range of attacks

The principle of defense in depth involves implementing multiple layers of security controls in order to protect against a range of attacks. This includes physical security measures, access controls, network security, application security, and more. By layering multiple security measures, an organization can provide a more robust defense against potential threats.

Question 3

Which of the following is an example of role-based access control?

A user is granted access to data based on their job function. A user is granted access to data based on their shoe size. A user is granted access to data based on their location. A user is granted access to data based on their favorite color. A user is granted access to data based on their political preferences. A user is granted access to data based on their age.

Correct Answer: A user is granted access to data based on their job function.

Role-based access control (RBAC) is a security strategy that ties system and application access to a user's job function within an organization. This mitigates the risk of information being accessed accidentally or intentionally by unauthorized individuals. The other options do not align with the principles of access control, as they grant access based on trivial or irrelevant information.

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