Data Privacy and Security Quiz

The process of collecting, storing, and analyzing data to gain insights and improve operations. Organizations use data analytics for various purposes like improving efficiency, understanding customer behavior, and making informed decisions.

Digital data refers to information stored in a computer-readable format using binary code (0s and 1s). This allows machines to easily understand and process information.

The practice of protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction. It's crucial for maintaining privacy and security.

A security measure that requires users to provide two or more forms of authentication before granting access to data. This helps prevent unauthorized access even if one authentication factor is compromised.

The ability to access and utilize data to improve HR practices, like understanding employee productivity and identifying trends in hiring and departures.

Using data analysis to identify trends and patterns in spending to improve financial management. For example, analyzing expenses can lead to cost optimization and better resource allocation.

The process of collecting and using data to understand customer needs and preferences. This helps businesses tailor products and services to provide a better customer experience.

Data collected from various sources, such as customer interactions, website activity, and marketing campaigns, to understand overall business performance and make better decisions.

Protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction.

The right of individuals to control how their personal information is collected, used, and disclosed.

A set of principles that guide the ethical and responsible handling of personal data.

Ensuring that collected data is accurate, relevant, and up-to-date.

Defining a specific purpose for collecting and using personal data and limiting its use to that purpose.

Restricting the amount of personal data collected to what is necessary for the defined purpose.

Safeguarding data from unauthorized access by using encryption methods during storage, processing, and transmission.

Data privacy is a foundation for data security, ensuring that sensitive data is only accessed and used as intended.

A method of encoding data to make it unreadable without a secret key. This key is used to both encrypt and decrypt the data, ensuring only authorized parties can access the information.

The process of converting encrypted data back into its original readable form using a secret key.

A security system that acts as a gatekeeper for network traffic, monitoring incoming and outgoing data to prevent unauthorized access.

A security measure requiring users to provide two separate forms of authentication before granting access. This often involves something the user knows (password), something the user has (phone), and something the user is (fingerprint).

A unique, randomly generated code sent to a user's device to verify their identity.

A type of security measure that uses biological characteristics, such as fingerprints or facial recognition, to authenticate user identity.

A malicious attempt to gain unauthorized access to a computer system, often by exploiting vulnerabilities in software or networks.

A detailed inspection of the contents of network traffic packets to detect and block sophisticated cyber-attacks.

The process of gathering, cleaning, and organizing data to make it useful for analysis.

Data analysis techniques that help businesses make better decisions by providing insights into customer behavior, market trends, and business performance.

The ability to use data analysis to understand customer preferences, needs, and behavior, leading to improved products and services.

The use of data analysis to identify areas where processes can be streamlined, leading to cost savings and increased efficiency.

The use of data to understand customer preferences and provide them with better service.

The process of gathering information on customer behavior, product performance, and marketing campaigns.

Accessing a computer system without permission, including downloading or copying data, introducing viruses, or damaging the system.

Introducing harmful code, like a virus, into a computer system to cause damage or disruption.

Intentionally damaging or interfering with a computer system, network, or data within it.

Blocking or making it difficult for authorized users to access a computer, computer system, or network.

Helping someone else to gain unauthorized access to a computer system.

Misusing another person's account to access or use a computer system or services.

Deleting or altering data stored on a computer, making it unusable or worthless.

Stealing, hiding, destroying, or altering computer source code to cause damage.

The GDPR outlines seven principles for processing personal data. This principle ensures individuals are aware of the purpose of their data usage. Processing must be transparent, fair, and legal.

The GDPR principle stating data can only be collected for explicitly defined purposes. Organizations clearly state the goal for collecting data, and how long it's needed.

This GDPR principle mandates collecting only the minimum amount of data necessary for a specific purpose. Organizations can't collect data just in case it might be useful later.

The GDPR requires accurate and current data. Organizations need to update data records when requested.

Data should be stored only for as long as needed to achieve the specific purpose for which it was collected. Once it's no longer required, data should be deleted.

The GDPR emphasizes the importance of protecting the security, integrity, and confidentiality of data. This principle necessitates appropriate security measures.

This GDPR principle states the data controller is responsible for ensuring compliance with all GDPR regulations. They are accountable for the way data is handled.

These are organizations that are responsible for protecting personal data in European countries. They ensure compliance with data protection regulations.