Welcome to ExamTopics
ExamTopics Logo
- Expert Verified, Online, Free.
Mail Us[email protected]
Menu
Databricks Discussions
exam questions

Exam Certified Machine Learning Associate All Questions

View all questions & answers for the Certified Machine Learning Associate exam
Go to Exam

Exam Certified Machine Learning Associate topic 1 question 6 discussion

Actual exam question from Databricks's Certified Machine Learning Associate
Question #: 6
Topic #: 1
[All Certified Machine Learning Associate Questions]

A data scientist is wanting to explore summary statistics for Spark DataFrame spark_df. The data scientist wants to see the count, mean, standard deviation, minimum, maximum, and interquartile range (IQR) for each numerical feature.
Which of the following lines of code can the data scientist run to accomplish the task?

  • A. spark_df.summary ()
  • B. spark_df.stats()
  • C. spark_df.describe().head()
  • D. spark_df.printSchema()
  • E. spark_df.toPandas()
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by lontaixanh97 at Sept. 17, 2024, 1:41 a.m.

Comments

Chosen Answer:
This is a voting comment (?) , you can switch to a simple comment.
Switch to a voting comment New
Submit Cancel
Deuterium44
2 weeks, 4 days ago
Selected Answer: A
A but there is no space before the parenthesis :
upvoted 1 times
...
lontaixanh97
2 months, 1 week ago
A is correct answer
upvoted 3 times
...

Get IT Certification

Unlock free, top-quality video courses on ExamTopics with a simple registration. Elevate your learning journey with our expertly curated content. Register now to access a diverse range of educational resources designed for your success. Start learning today with ExamTopics!

Start Learning for free
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