The sizing handles is known to be the small squares that appear in the corners and in the middle of the sides of a selected object's border.
<h3>What is sizing handles in MS Word?</h3>
The term sizing handles is known to be a tool that a person can use to be able to change a picture's size.
Note that if the mouse pointer is placed on a key that is of the sizing handles, the pointer alters to a double-headed arrow and a person can be able to then alter the size or shape of the image by dragging the sizing handle.
Note that it is often called handle, drag handle, sizing grip, resize corner, and therefore, The sizing handles is known to be the small squares that appear in the corners and in the middle of the sides of a selected object's border.
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Answer: Music, Documents, PowerPoints, Pictures/Videos, Audios
Answer:
Input, Processing, Storage, Output and Communication devices.
Explanation:
Input devices of computer are like Keyboard, Mouse, Scanner. Output devices of a computer are printers, monitors, and headphones.
There are two storages of computer one of them is REM, which can be lost if computer shutdown/closes. Data stays written on the disk until it's erased or until the storage medium fails (more on that later). An example of a communication device is the microphone.
A person can enrich data in Splunk by
- Preparing to know data that is using Splunk to known the required fields in the data.
- One need to think of this as if one is seeing pieces in a puzzle, then one can notice their shapes.
- The next step is that one need to categorize data as a kind of a preamble before the act of aggregation and reporting.
<h3>What is Enriching Your Data?</h3>
Data enrichment is known to be a kind of an augmentation and it is seen as the act or the process of making better an existing information by the use of a supplementing missing or any kind of incomplete data.
<h3> What is a Lookup?</h3>
Data Lookup is known to be the method used to make plenty any information based on rules.
Hence, A person can enrich data in Splunk by
- Preparing to know data that is using Splunk to known the required fields in the data.
- One need to think of this as if one is seeing pieces in a puzzle, then one can notice their shapes.
- The next step is that one need to categorize data as a kind of a preamble before the act of aggregation and reporting.
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<span>The correct answer is higher for both blank spaces.
We all know the famous saying: "No risk, no reward". What is true is the higher your risk you also have a higher degree of reaping a higher rewards. But the opposite is also true, the more you risk the more you stand to lose. In stockbroker business this is best exemplified, as you can se brokers trying to predict the stock market in order to make greater profits. Gambling is also the good example of this. </span>