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Linux CLIscripting~10 mins

cut (extract columns) in Linux CLI - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to extract the first column from a file named data.txt using cut.

Linux CLI
cut -d',' -f[1] data.txt
Drag options to blanks, or click blank then click option'
A1
Ball
C2
D0
Attempts:
3 left
💡 Hint
Common Mistakes
Using 0 as the field number, which is invalid.
Forgetting to specify the delimiter with -d.
2fill in blank
medium

Complete the code to extract columns 2 and 4 separated by a comma from data.csv.

Linux CLI
cut -d',' -f[1] data.csv
Drag options to blanks, or click blank then click option'
A2,4
B1,3
C4,2
D2-4
Attempts:
3 left
💡 Hint
Common Mistakes
Using a range like 2-4 which extracts columns 2, 3, and 4 instead of just 2 and 4.
Swapping the order of columns unintentionally.
3fill in blank
hard

Fix the error in the code to extract the third column from file.txt where columns are separated by tabs.

Linux CLI
cut -d[1] -f3 file.txt
Drag options to blanks, or click blank then click option'
A,
B$'\t'
Ctab
Dspace
Attempts:
3 left
💡 Hint
Common Mistakes
Using a comma instead of tab as delimiter.
Writing 'tab' as a string instead of the escape sequence.
4fill in blank
hard

Complete the code to extract columns 1 and 3 from records.txt where fields are separated by a colon.

Linux CLI
cut -d: -f[1] records.txt
Drag options to blanks, or click blank then click option'
A:
B1,3
C2,4
D,
Attempts:
3 left
💡 Hint
Common Mistakes
Using comma as delimiter instead of colon.
Selecting wrong fields like 2,4 instead of 1,3.
5fill in blank
hard

Fill all three blanks to extract columns 2 and 5 from data.tsv where fields are tab-separated.

Linux CLI
cut -d[1] -f[2] data.tsv > [3]
Drag options to blanks, or click blank then click option'
A$'\t'
B2,5
Coutput.txt
D,
Attempts:
3 left
💡 Hint
Common Mistakes
Using comma as delimiter instead of tab.
Forgetting to redirect output to a file.
Selecting wrong columns.

Practice

(1/5)
1. What does the cut command do in Linux?
easy
A. Deletes files from the system
B. Changes file permissions
C. Copies files from one directory to another
D. Extracts specific columns or fields from each line of a file or input

Solution

  1. Step 1: Understand the purpose of cut

    The cut command is designed to extract sections from each line of input, usually columns or fields.
  2. Step 2: Compare options

    Options A, C, and D describe other commands like rm, cp, and chmod, not cut.
  3. Final Answer:

    Extracts specific columns or fields from each line of a file or input -> Option D
  4. Quick Check:

    cut extracts columns [OK]
Hint: Remember: cut slices columns, not files [OK]
Common Mistakes:
  • Confusing cut with copy or delete commands
  • Thinking cut changes file content permanently
  • Assuming cut works on whole files, not lines
2. Which of the following is the correct syntax to extract the 2nd and 4th columns from a comma-separated file using cut?
easy
A. cut -d ',' -f 2,4 filename
B. cut -d ',' -f 2 4 filename
C. cut -f 2 4 -d ',' filename
D. cut -f 2-4 -d ',' filename

Solution

  1. Step 1: Understand cut syntax for fields and delimiter

    The option -f specifies fields, and multiple fields must be comma-separated without spaces. The option -d sets the delimiter.
  2. Step 2: Identify correct order and format

    The correct syntax places -d ',' before -f 2,4 or vice versa, but fields must be comma-separated. cut -d ',' -f 2,4 filename correctly uses -d ',' -f 2,4.
  3. Final Answer:

    cut -d ',' -f 2,4 filename -> Option A
  4. Quick Check:

    Fields comma-separated, delimiter set correctly [OK]
Hint: Use commas between fields and set delimiter with -d [OK]
Common Mistakes:
  • Separating fields with spaces instead of commas
  • Mixing order of options incorrectly
  • Omitting the delimiter option for non-tab files
3. Given a file data.txt with the following content:
apple,banana,cherry,date
red,yellow,red,brown
sweet,sweet,tart,sweet

What is the output of the command cut -d ',' -f 3 data.txt?
medium
A. date brown sweet
B. banana yellow sweet
C. cherry red tart
D. apple red sweet

Solution

  1. Step 1: Identify the delimiter and field number

    The delimiter is a comma, and the command extracts the 3rd field from each line.
  2. Step 2: Extract the 3rd field from each line

    Line 1: 'cherry'
    Line 2: 'red'
    Line 3: 'tart'
  3. Final Answer:

    cherry red tart -> Option C
  4. Quick Check:

    3rd column extracted correctly [OK]
Hint: Count fields separated by delimiter, pick correct number [OK]
Common Mistakes:
  • Counting fields starting at zero instead of one
  • Using wrong delimiter
  • Extracting wrong field number
4. You run the command cut -f 1,3 -d ':' file.txt but get no output. What is the most likely reason?
medium
A. The file is empty
B. The file uses spaces instead of ':' as delimiter
C. The fields 1 and 3 do not exist in the file
D. The cut command does not support multiple fields

Solution

  1. Step 1: Check possible causes for no output

    cut produces no output if there are no lines to process.
  2. Step 2: Evaluate the most likely cause

    A wrong delimiter produces modified output (whole lines with tabs), not empty. Fields 1 always exists, multiple fields supported. Empty file causes truly no output.
  3. Final Answer:

    The file is empty -> Option A
  4. Quick Check:

    Empty file -> no output [OK]
Hint: Verify input file has content before debugging [OK]
Common Mistakes:
  • Assuming delimiter mismatch causes no output
  • Thinking cut fails if fields missing
  • Believing cut can't handle multiple fields
5. You have a file records.txt with tab-separated values. You want to extract the 1st and 3rd columns but only if the 3rd column is not empty. Which command correctly does this?
hard
A. cut -f 1,3 records.txt | grep -v '^\t$' | cut -f 3
B. awk -F '\t' '$3 != "" {print $1, $3}' records.txt
C. cut -f 1,3 records.txt | grep -v '^\t$'
D. cut -f 1,3 records.txt | grep '^\t$'

Solution

  1. Step 1: Understand cut limitation

    cut extracts columns but cannot filter lines based on content.
  2. Step 2: Use a tool that filters lines by field content

    awk can check if the 3rd field is not empty and print the 1st and 3rd fields.
  3. Step 3: Analyze options

    awk -F '\t' '$3 != "" {print $1, $3}' records.txt uses awk with tab delimiter and condition $3 != "", printing fields 1 and 3 correctly.
  4. Final Answer:

    awk -F '\t' '$3 != "" {print $1, $3}' records.txt -> Option B
  5. Quick Check:

    Use awk to filter and extract columns [OK]
Hint: Use awk for filtering and extracting columns together [OK]
Common Mistakes:
  • Trying to filter lines using cut alone
  • Using grep incorrectly to filter empty fields
  • Not specifying correct delimiter in awk
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10 questions~5 mineasy hard