Welcome to ExamTopics
ExamTopics Logo
- Expert Verified, Online, Free.
exam questions

Exam PL-300 All Questions

View all questions & answers for the PL-300 exam

Exam PL-300 topic 3 question 39 discussion

Actual exam question from Microsoft's PL-300
Question #: 39
Topic #: 3
[All PL-300 Questions]

You have a table that contains sales data and approximately 1,000 rows.
You need to identify outliers in the table.
Which type of visualization should you use?

  • A. area chart
  • B. scatter plot
  • C. pie chart
  • D. donut chart
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

Comments

Chosen Answer:
This is a voting comment (?) , you can switch to a simple comment.
Switch to a voting comment New
fred92
Highly Voted 2 years, 1 month ago
Selected Answer: B
A scatter chart (or plot, it's synonym) is useful to visualize outliers.
upvoted 15 times
...
pisanoagus
Highly Voted 1 year, 9 months ago
Selected Answer: B
perfect for outliers detection
upvoted 6 times
...
jaume
Most Recent 3 days, 15 hours ago
Selected Answer: B
Scatter plot is the only visual featuring the "outliers identification" function
upvoted 1 times
...
rcaliandro
3 months, 1 week ago
Selected Answer: B
Scatter plot for outliers
upvoted 1 times
...
Dsbuff
10 months, 3 weeks ago
Selected Answer: B
A scatter plot is particularly useful for spotting outliers, trends, and correlations.
upvoted 2 times
...
LeeTheRed
11 months, 3 weeks ago
This question was on the exam today 9/12/2023
upvoted 1 times
...
lukelin08
1 year, 12 months ago
Selected Answer: B
B is correct
upvoted 4 times
...
princie
1 year, 12 months ago
B any day. For outliers scatter plot or whisker
upvoted 3 times
...
dorypl300
2 years, 1 month ago
correct
upvoted 5 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
Loading ...