Welcome to this Knowledge Check exam!
This exam covers the terminology and concepts discussed in part two of the Building Machine Learning Pipelines with scikit-learn course.
You have 35 minutes to complete 20 multiple-choice questions. You must score 60 percent or higher to pass this exam.
Completing the Exam:
You can spend as long as you wish on any particular question but must budget your time to complete all the questions. Any questions not completed in the allotted time will be scored as incorrect.
During the session, you may skip questions and return to them later in the session. You can also review your answers to previous questions, and change them at any point during the exam session.
You can end your exam session by submitting your exam for a score, or by discarding your exam.
Submitting Your Exam
You may submit your exam at any time by clicking "Submit Exam" and confirming your choice. Once confirmed, this completes the entire exam session. All of your answers will be scored, and your Skill Score will be updated. All unanswered questions will be scored as incorrect. You cannot return later to complete any unanswered questions.
Discarding Your Exam
You may discard your exam at any time by clicking "Discard Exam" and confirming your choice. Once confirmed, your exam session will be closed without saving your exam progress. None of your answers will be scored, and your Skill Score will not be updated. When you return to complete the exam, you will begin an entirely new exam session which may include new exam questions.
Please contact us at email@example.com if you have any questions, or want to share your thoughts about the exam.