Everfi Endeavor: Creating the Perfect Playlist

______________ is facts, information, or statistics, typically used for analysis, reference, or as a basis for calculation.

• Data

• Data Analysis

• Design Process

• Metadata

______________ is the process by which a human or computer selects, compiles, selects/cleans, reviews,

• Data

• Data Analysis

• Design Process

• Metadata

______________ is a set of data or information that provides information about other data, typically as a summary of a larger set of data.

• Product Engineer

• Product Designer

• Metadata

• Data

______________ is a method of protecting personal information with a key that only the user knows.

• Product Engineer

• Product Designer

• Secure Password

• Data

Which of the following passwords would be considered the most secure?

• mydogSkipisCute!

• myd0gsk1pcut3!

• !Dog!Skip18

• Cut3!8Sk1pD0g!2

Which of the following passwords would be the most secure version of the unsecure password: cutecats123

• 1cute12cats321

• !Cu2t31C4t$!

• Cute!!Cat$!

• C4tsRCut3

What element(s) are NOT part of a secure password?

• Common phrases

• Upper case letters

• Lower case letters

• Special characters

Which of the following actions might contribute to recommendations you see online?

• Rating a favorite movie on a digital streaming site.

• Searching for an item using a search engine.

• Purchasing a new t shirt from an online retailer.

• All of the above

What is user data?

• User data is a way of organizing information so that users can figure out which sites will be most interesting to them.

• User data is information that provides substantial insight into an individual's offline activity.

• User data is information that is created about a particular individual.

• All of the above

What is an online recommendation engine?

• A set of software algorithms that uses past user data and similar content data to make recommendations for a specific user profile.

• A set of search engines that uses competitive filtering to determine what content multiple similar users might like.

• A way of tracking a user's online behavior and deciding what similar products and content they might like based on their offline behavior.

• Both A and C