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Coursera Microsoft Azure Data Scientist Associate (DP-100) • STUDY MODE

PRACTICE QUIZ: KNOWLEDGE CHECK 1

QUESTION 1 OF 5

What are the three core issues MLflow seeks to address? 

A
Keeping track of identity 
B
Code reproducingCorrect Answer
C
Keeping track of experimentsCorrect Answer
D
The standardization of model packaging and deploymentCorrect Answer
QUESTION 2 OF 5

What is the MLflow Tracking tool?

A
A logging APICorrect Answer
B
An environment
C
A library
D
A class
QUESTION 3 OF 5

MLflow Tracking is organized around the concept of runs, which are basically executions of data science code.

A
Dataframe
B
Workflows
C
ExperimentsCorrect Answer
D
Datasets
QUESTION 4 OF 5

What information can be recorded for each run? Select all that apply.

A
Variables
B
ArtifactsCorrect Answer
C
MetricsCorrect Answer
D
SourceCorrect Answer
E
ParametersCorrect Answer
QUESTION 5 OF 5

Which of the following objects can be used to query past runs programmatically

A
MlflowFetcher
B
MlflowTracker
C
MlflowQuery
D
MlflowClientCorrect Answer

Ready to test your recall?

What are the three core issues MLflow seeks to address? 

💡Select all 3 correct answers before submitting (0 of 3 selected).
A
Keeping track of identity 
B
Code reproducing
C
Keeping track of experiments
D
The standardization of model packaging and deployment

How confident are you in this answer?