An electronic resume can carry so much data about the person, and it includes images also. Then the statement is true.
<h3>What is an
electronic resume?</h3>
An electronic resume is termed as a resume that is read by a computer program that summarizes the information of each person.
The electronic resume has the data such as their parent name, education, skills, job experience, hobbies, languages, and so on.
Thus, the photo of the document about the project or internship that has been done in the past can be given on the electronic resume by uploading the certificate on the computer system along with the resume.
For example, in companies like Linkedin, and so on there are many companies that ask about the person before creating an account.
More about the electronic resume link is given below.
brainly.com/question/2798964
Answer:
Stick to concrete nouns
Explanation:
The best technique to improve the web search result is that search with the help of keywords. These keywords help in searching the required results from search engines.
The keywords are actually nouns. Noun is name of object, place or person. So by using nouns we can search out required results.
For example
If we want to search about some persons bibliography, we use his name in our search. His name is an example of noun.
<span>Any computer or device on a network that can be addressed on the local network is referred to as a: node.</span>
Answer:
1.word = "George slew the dragon"
startIndex = word.find('dr')
endIndex = startIndex + 4
drWord = word[startIndex:endIndex]
2. sentence = "Broccoli is delicious."
sentence_list = sentence.split(" ")
firstWord = sentence_list[0]
Explanation:
The above snippet is written in Python 3.
1. word is initialized to a sentence.
Then we find the the occurence of 'dr' in the sentence which is assign to startIndex
We then add 4 to the startIndex and assign it to endIndex. 4 is added because we need a length of 4
We then use string slicing method to create a substring from the startIndex to endIndex which is assigned to drWord.
2. A string is assigned to sentence. Then we split the sentence using sentence.split(" "). We split based on the spacing. The inbuilt function of split returns a list. The first element in the list is assigned to firstWord. List uses zero based index counting. So. firstWord = sentence_list[0] is use to get first element.
