Microsoft DP-100 - Designing and Implementing a Data Science Solution on Azure Exam
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Total 527 questions
Question #11 (Topic: Question Set 1)
This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the
recommendation satisfies the requirements.
You have been tasked with evaluating your model on a partial data sample via k-fold cross-validation.
You have already configured a k parameter as the number of splits. You now have to configure the k parameter for the cross-validation with the usual value
choice.
Recommendation: You configure the use of the value k=10.
Will the requirements be satisfied?
recommendation satisfies the requirements.
You have been tasked with evaluating your model on a partial data sample via k-fold cross-validation.
You have already configured a k parameter as the number of splits. You now have to configure the k parameter for the cross-validation with the usual value
choice.
Recommendation: You configure the use of the value k=10.
Will the requirements be satisfied?
A. Yes
B. No
Answer: A
Question #12 (Topic: Question Set 1)
You construct a machine learning experiment via Azure Machine Learning Studio.
You would like to split data into two separate datasets.
Which of the following actions should you take?
You would like to split data into two separate datasets.
Which of the following actions should you take?
A. You should make use of the Split Data module.
B. You should make use of the Group Categorical Values module.
C. You should make use of the Clip Values module.
D. You should make use of the Group Data into Bins module.
Answer: A
Question #13 (Topic: Question Set 1)
You have been tasked with creating a new Azure pipeline via the Machine Learning designer.
You have to makes sure that the pipeline trains a model using data in a comma-separated values (CSV) file that is published on a website. A dataset for the file for
this file does not exist.
Data from the CSV file must be ingested into the designer pipeline with the least amount of administrative effort as possible.
Which of the following actions should you take?
You have to makes sure that the pipeline trains a model using data in a comma-separated values (CSV) file that is published on a website. A dataset for the file for
this file does not exist.
Data from the CSV file must be ingested into the designer pipeline with the least amount of administrative effort as possible.
Which of the following actions should you take?
A. You should make use of the Convert to TXT module.
B. You should add the Copy Data object to the pipeline.
C. You should add the Import Data object to the pipeline.
D. You should add the Dataset object to the pipeline.
Answer: C
Question #14 (Topic: Question Set 1)
This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the
recommendation satisfies the requirements.
You are in the process of creating a machine learning model. Your dataset includes rows with null and missing values.
You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix the null and missing values in the dataset.
Recommendation: You make use of the Replace with median option.
Will the requirements be satisfied?
recommendation satisfies the requirements.
You are in the process of creating a machine learning model. Your dataset includes rows with null and missing values.
You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix the null and missing values in the dataset.
Recommendation: You make use of the Replace with median option.
Will the requirements be satisfied?
A. Yes
B. No
Answer: A
Question #15 (Topic: Question Set 1)
This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the
recommendation satisfies the requirements.
You are in the process of creating a machine learning model. Your dataset includes rows with null and missing values.
You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix the null and missing values in the dataset.
Recommendation: You make use of the Custom substitution value option.
Will the requirements be satisfied?
recommendation satisfies the requirements.
You are in the process of creating a machine learning model. Your dataset includes rows with null and missing values.
You plan to make use of the Clean Missing Data module in Azure Machine Learning Studio to detect and fix the null and missing values in the dataset.
Recommendation: You make use of the Custom substitution value option.
Will the requirements be satisfied?
A. Yes
B. No
Answer: A
