DP-100-Questions Flashcards

1
Q

Which of the following is the action you must take NEXT?

A

D. Install Microsoft Machine Learning for Apache Spark.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
1
Q

Which of the following is the compute target you should use?

A

B. Azure Kubernetes Service (AKS)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Which of the following actions should you take FIRST?

A

C. Publish the pipeline.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Which of the following actions should you take?

A

C. You should consider configuring the use of Azure Notebooks.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Does the solution meet the goal?

A

B. No

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Which of the following actions should you take?
A. You should make use of the Split Data module.

A

D. You should make use of the Group Data into Bins module.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Data from the CSV file must be ingested into the designer pipeline with the least amount of administrative effort as possible

A

D. You should add the Dataset object to the pipeline.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Which of the following is the metric you should choose?

A

B. Area Under the Curve (AUC) Curve

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Which of the following is an algorithm that reduces the variances between actual and predicted values?

A

C. Boosted Decision Tree Regression

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Does the solution meet the goal?

A

B. No

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Which of the following actions should you take?

A

D. You should consider making use of the Random grid sweep mode.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Which of the following is TRUE with regard to achieving your goal?

A

B. You have to add L1/L2 regularization, and reduce the amount of training data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly