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Roman55 [17]
1 year ago
14

Choose the response that best completes the following statement.

Computers and Technology
2 answers:
lisabon 2012 [21]1 year ago
7 0
I am guessing. My guess is code.
dem82 [27]1 year ago
6 0

Answer:

The answer to this is actually A) Binary

Explanation:

At the lowest level, a computer can only understand patterns of bits - which is to say, binary numbers. These lowest-level instructions are usually called “opcodes,” short for operation codes, or “machine language.”

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The elements in a string type array will be initialized to ____.?
ivanzaharov [21]
The elements in a string type array will be initialized to "Null".
7 0
2 years ago
Using the Sakila database, create a query that displays the film title, description, as well the actor first and last name for a
Alex787 [66]

Answer:

Select title, description , first_name, last_name from film inner join film_actor on film.film_id = film_actor.film_id inner join actor on film_actor.actor_id = actor.actor_id where title LIKE 'zo%';

Explanation:

  • The INNER JOIN keyword selects records that have matching values in both tables.
  • The WHERE clause is used to filter records.
  • The WHERE clause is used to extract only those records that fulfill a specified condition.
7 0
2 years ago
1. Create a view named customer_addresses that shows the shipping and billing addresses for each customer.
Verdich [7]

Answer:

Answer given below

Explanation:

1.

CREATE VIEW CustomerAddresses AS

SELECT custo. CustomerID, EmailAddress , LastName ,FirstName,

bill.Line1 AS BillLine1, bill.Line2 AS BillLine2, bill.City AS BillCity, bill.State AS BillState, bill.ZipCode AS BillZip,

ship.Line1 AS ShipLine1, ship.Line2 AS ShipLine2, ship.City AS ShipCity, ship.State AS ShipState, ship.ZipCode AS ShipZip

FROM Customers custo , Addresses ship , Addresses bill

WHERE custo. BillingAddressID= bill.AddressID AND custo.ShippingAddressID= ship. AddressID;

2.

SELECT CustomerID, LastName, FirstName, BillLine1 FROM CustomerAddresses;

3.

CREATE VIEW OrderItemProducts

AS

SELECT Orders.OrderID, OrderDate, TaxAmount, ShipDate,

ItemPrice, DiscountAmount, (ItemPrice- DiscountAmount) AS FinalPrice,

Quantity, and (Quantity * (ItemPrice-DiscountAmount)) AS ItemTotal,

ProductName FROM

Orders, OrderItems, Products

WHERE

Orders.OrderID = OrderItems.OrderID AND

OrderItems.ProductID = Products. ProductID;

4.

CREATE VIEW ProductSummary

AS

SELECT distinct

ProductName, COUNT(OrderID) AS OrderCount, SUM(ItemTotal) AS OrderTotal

FROM

OrderItemProducts

GROUP BY ProductName;

5.

SELECT ProductName, OrderTotal

FROM ProductSummary P

WHERE 5> (select count(*) FROM ProductSummary S

WHERE P.OrderTotal<S.OrderTotal)

ORDER BY OrderTotal;

5 0
2 years ago
A blood bank maintains two tables - DONOR, with information about people who are willing to donate blood and ACCEPTOR, with info
Kipish [7]

Answer:

The sql query is given below.

Since we need to count of males and females for a particular blood group, we put xxx for the blood group.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors,

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

Explanation:

The clauses in the query are as follows.

1. SELECT: all the columns required in the output are put in this clause.

2. FROM JOIN ON: the table(s) from which the above columns are taken are put in this clause.

3. WHERE: any condition required to filter the output is put in this clause.

The query is explained below.

1. Find the number of male donors. Number of anything can be found using COUNT() function. A query is required since gender is included in deciding the type of donor.

2. The query is defined to find number of male donors as follows.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "M%"; )

3. In the previous query, LIKE operator is used since it is not defined what value is stored for male donors.

4. Similarly, the query to find the number of female donors is formed.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "F%"; )

5. Next, the final query is formed as follows.

SELECT: both COUNT() functions will come here.

FROM: table name

WHERE: specific blood group will be put here

GROUP BY: this clause is optional and is not used in this query.

HAVING: this clause is optional and is not used in this query.

6. The query after putting all clauses is shown below.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%"),

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%")

FROM DONOR

WHERE BG = xxx;

7. Alias is used in the above query for each column to get the final query.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors, COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

7 0
2 years ago
When you complete a form online with your name, address, and credit card information in order to make a purchase, you are giving
mafiozo [28]

Answer:

Structured

Explanation:

A data dictionary can be defined as a centralized collection of information on a specific data such as attributes, names, fields and definitions that are being used in a computer database system.

In a data dictionary, data elements are combined into records, which are meaningful combinations of data elements that are included in data flows or retained in data stores.

This ultimately implies that, a data dictionary found in a computer database system typically contains the records about all the data elements (objects) such as data relationships with other elements, ownership, type, size, primary keys etc. These records are stored and communicated to other data user when required or needed.

A relational database can be defined as a type of database that is structured in a manner that there exists a relationship between its elements.

Hence, when a user completes a form online by providing his or her name, address, and credit card information in order to make a purchase, he or she is giving the company structured data (pre-defined and formatted to a set structure) that can be used to make up (populate) a relational database or spreadsheet.

A spreadsheet can be defined as a file or document which comprises of cells in a tabulated format (rows and columns) typically used for formatting, arranging, analyzing, storing, calculating and sorting data on computer systems.

3 0
2 years ago
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