ExamTopics Logo
Mail Us[email protected]
Menu
Comptia Discussions
exam questions

Exam DY0-001 All Questions

View all questions & answers for the DY0-001 exam
Go to Exam

Exam DY0-001 topic 1 question 83 discussion

Actual exam question from CompTIA's DY0-001
Question #: 83
Topic #: 1
[All DY0-001 Questions]

Which of the following measures would a data scientist most likely use to calculate the similarity of two text strings?

  • A. Word cloud
  • B. Edit distance
  • C. String indexing
  • D. k-nearest neighbors
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by SuntzuLegacy at May 20, 2025, 12:12 a.m.

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
Submit Cancel
SuntzuLegacy
1 month, 1 week ago
Selected Answer: B
B. Edit distance. This metric (often called Levenshtein distance) quantifies how many edits (insertions, deletions, or substitutions) are needed to transform one string into another, making it useful for measuring the similarity between two text strings.
upvoted 1 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel