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Questions and Answers

Why does the SQL Editor only show the result of the last query, even if there are multiple queries present?

  • To save memory and prevent information overload on the screen.
  • To ensure data integrity and prevent data corruption.
  • To improve query performance and avoid displaying irrelevant data. (correct)
  • To simplify the user interface and reduce clutter.

What is one reason a query might timeout?

  • Returning a large amount of data from the database. (correct)
  • Not using a WHERE clause in the query.
  • Using a LIMIT clause to restrict the number of rows.
  • Including multiple JOIN statements in the query.

What is the purpose of limiting the number of rows retrieved from the database?

  • To ensure that all rows are retrieved for analysis purposes.
  • To speed up query execution by reducing data transfer. (correct)
  • To simplify the SQL query syntax and make it more readable.
  • To prevent unauthorized access to sensitive data.

Why is it considered an unnecessary overhead to bring in a lot of data from the database?

<p>It increases network traffic and may lead to slower performance. (D)</p> Signup and view all the answers

How does limiting the number of rows help in avoiding accidental selection of 'Select * From' with a table comprising millions of rows?

<p>By reducing the chance of running resource-intensive queries. (A)</p> Signup and view all the answers

Running multiple queries in the SQL Editor will display all the query results at once.

<p>False (B)</p> Signup and view all the answers

Limiting the number of rows in a query is done to prevent long-running queries in the database.

<p>True (A)</p> Signup and view all the answers

A query might timeout if it retrieves values from the database too quickly.

<p>False (B)</p> Signup and view all the answers

One reason to limit the number of rows retrieved from the database is to avoid accidentally selecting 'Select * From' with a table of millions of rows.

<p>True (A)</p> Signup and view all the answers

Bringing in a lot of data from the database is considered necessary for optimizing query performance.

<p>False (B)</p> Signup and view all the answers

Match the following reasons with the considerations when running queries in SQL:

<p>To prevent long-running queries = Limiting the number of rows retrieved from the database To avoid halting the database = Avoiding accidental selection of 'Select * From' with a table of millions of rows To optimize query performance = Bringing in a lot of data from the database To improve query speed = Retrieving values from the database too quickly</p> Signup and view all the answers

Match the following outcomes with the actions taken when running queries:

<p>Only one query result is displayed = SQL Editor having several queries A query could timeout = Not returning values from the database or web server request timing out Preventing unnecessary overhead = Limiting the number of rows retrieved from the database Avoiding long-running queries = Bringing in a lot of data from the database</p> Signup and view all the answers

Match the following implications with the reasons for limiting the number of rows retrieved from the database:

<p>Preventing accidental selection of 'Select * From' = Avoiding halting the database Avoiding bringing in excessive data = Unnecessary overhead from database Optimizing query performance = Limiting row retrieval to prevent long-running queries Improving query efficiency = Reducing chances of query timeouts</p> Signup and view all the answers

Match the following consequences with the considerations when running queries in SQL:

<p>Halting the database = Selecting 'Select * From' with a table comprising millions of rows Long-running queries = Not limiting the number of rows retrieved from the database Accidental selection of excessive data = 'Select * From' with a large table Query timeouts = Retrieving values too quickly from the database</p> Signup and view all the answers

Match the following actions with their purpose when running queries:

<p>Bringing in a limited amount of data = Preventing accidental selection of 'Select * From' with a large table Limiting row retrieval = Avoiding long-running queries and unnecessary overhead Optimizing query performance = Improving query speed and efficiency Avoiding query timeouts = Retrieving values at an appropriate pace from the database</p> Signup and view all the answers

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