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CSF 7.5 Assessment - Relational Databases

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•
Computers
•
9th - 12th Grade
•
Hard
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11 questions
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1.
FLASHCARD QUESTION
Front
Back
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2.
FLASHCARD QUESTION
Front
Which of the following best describes a database?
Back
A collection of related data organized in a structured manner.
3.
FLASHCARD QUESTION
Front
Which of the following statements best describes a query? A query is a type of database used to store information. A query is a request for information from a database. A query is a type of programming language used to create websites. A query is a method for storing files on a web server.
Back
A query is a request for information from a database.
4.
FLASHCARD QUESTION
Front
Which of the following are examples of tables in a relational database? Rows of data in a CSV file, Worksheets in a Microsoft Excel file, Collections of JSON documents in a NoSQL database, Customer orders and products in an e-commerce database
Back
Customer orders and products in an e-commerce database
Answer explanation
Customer orders and products in an e-commerce database. In a relational database, tables are used to store different types of entities or data objects, and each table has a unique name and a set of columns that represent different attributes or properties of the data. Examples of tables in a relational database might include customer data, order data, product data, and so on.
In a JSON document, data is organized into a collection of key-value pairs, where each key represents a unique identifier for a value, and the value can be of a variety of data types, including strings, numbers, boolean values, arrays, and even other JSON objects.
5.
FLASHCARD QUESTION
Front
Which of the following is true about relational databases? Each row has a unique identification number. Each piece of data has an associated row and column. For a column header named "age," duplicate age values are allowed. All of these options
Back
Each piece of data has an associated row and column.
Answer explanation
In a relational database, data is stored in tables with columns representing different attributes or fields and rows representing individual records or instances of data. Each piece of data, such as a name or age, is associated with a particular row and column in the table.
Regarding the other statements:
Each row has a unique identification number: This statement is not necessarily true. While it is common for relational databases to have a unique identifier column, such as an ID or primary key, not all databases require one.
For a column header named "age," duplicate age values are allowed: This statement is not true. Relational databases enforce integrity constraints to ensure that duplicate values are not entered into a column that has been designated as unique.
6.
FLASHCARD QUESTION
Front
What does the term "noSQL" refer to?
Back
A type of database management system
Answer explanation
"noSQL" stands for "not only SQL" and refers to a type of database management system that is non-relational and does not use SQL as its primary query language.
7.
FLASHCARD QUESTION
Front
Which of the following statements is true? Relational databases were used in the past but can’t be used anymore because of big data. Relational databases work better and faster with big data than NoSQL databases. Relational databases are still used today, but NoSQL databases work better and faster with big data. Relational databases and NoSQL databases both work equally well and fast on big data.
Back
Relational databases are still used today, but NoSQL databases work better and faster with big data.
Answer explanation
Relational databases were commonly used in the past and are still widely used today. However, with the rise of big data and the need to process and analyze large volumes of unstructured or semi-structured data, NoSQL databases have become increasingly popular. NoSQL databases are designed to handle large amounts of unstructured data and can scale horizontally, making them well-suited for big data applications. However, relational databases still have their place in certain applications where data is well-structured and requires strong data integrity and consistency.
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