Free Microsoft DP-100 Exam Questions

Question 1

You have a dataset that contains records of patients tested for diabetes. The dataset includes the patient's age.

You plan to create an analysis that will report the mean age value from the differentially private data derived from the dataset.

You need to identify the epsilon value to use in the analysis that minimizes the risk of exposing the actual data.

Which epsilon value should you use?

A : -1.5

B : -0.5

C : 0.5

D : 1.5

Answer: C

Question 2

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You create a model to forecast weather conditions based on historical data. You need to create a pipeline that runs a processing script to load data from a datastore and pass the processed data to a machine learning model training script. Solution: Run the following code:

A : Yes

B : No

Answer: A

Question 3

You use the following Python code in a notebook to deploy a model as a web service:The deployment fails. You need to use the Python SDK in the notebook to determine the events that occurred during service deployment an initialization. Which code segment should you use?

A : service.state

B : service.environment

C : service.get_logs()

D : Service.serialize

Answer: C

Question 4

You create a pipeline in designer to train a model that predicts automobile prices.

Because of non-linear relationships in the data, the pipeline calculates the natural log (Ln) of the prices in the

training data, trains a model to predict this natural log of price value, and then calculates the exponential of the

scored label to get the predicted price.

The training pipeline is shown in the exhibit. (Click the Training pipeline tab.)

Training pipeline

You create a real-time inference pipeline from the training pipeline, as shown in the exhibit. (Click the

Real-time pipeline tab.)

Real-time pipeline

You need to modify the inference pipeline to ensure that the web service returns the exponential of the scored

label as the predicted automobile price and that client applications are not required to include a price value in

the input values.

Which three modifications must you make to the inference pipeline? Each correct answer presents part of the

solution.

NOTE: Each correct selection is worth one point.

A : Connect the output of the Apply SQL Transformation to the Web Service Output module.

B : Replace the Web Service Input module with a data input that does not include the price column.

C : Add a Select Columns module before the Score Model module to select all columns other than price.

D : Replace the training dataset module with a data input that does not include the price column.

E : Remove the Apply Math Operation module that replaces price with its natural log from the data flow.

F : Remove the Apply SQL Transformation module from the data flow.

Answer: A,C,E

Question 5

You use the following Python code in a notebook to deploy a model as a web service:The deployment fails. You need to use the Python SDK in the notebook to determine the events that occurred during service deployment an initialization. Which code segment should you use?

A : service.state

B : service.environment

C : service.get_logs()

D : Service.serialize

Answer: C