DP-100
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Question 1
DRAG DROP -
You are planning to host practical training to acquaint staff with Docker for Windows.
Staff devices must support the installation of Docker.
Which of the following are requirements for this installation? Answer by dragging the correct options from the list to the answer area.
Select and Place:
Question 2
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=3.
Will the requirements be satisfied?
- A: Yes
- B: No
Question 3
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?
- A: Yes
- B: No
Question 4
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?
- 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.
Question 5
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?
- 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.
Question 6
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?
- A: Yes
- B: No
Question 7
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?
- A: Yes
- B: No
Question 8
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 Remove entire row option.
Will the requirements be satisfied?
- A: Yes
- B: No
Question 9
You need to consider the underlined segment to establish whether it is accurate.
To transform a categorical feature into a binary indicator, you should make use of the Clean Missing Data module.
Select No adjustment required if the underlined segment is accurate. If the underlined segment is inaccurate, select the accurate option.
- A: No adjustment required.
- B: Convert to Indicator Values
- C: Apply SQL Transformation
- D: Group Categorical Values
Question 10
You need to consider the underlined segment to establish whether it is accurate.
To improve the amount of low incidence cases in a dataset, you should make use of the SMOTE module.
Select No adjustment required if the underlined segment is accurate. If the underlined segment is inaccurate, select the accurate option.
- A: No adjustment required.
- B: Remove Duplicate Rows
- C: Join Data
- D: Edit Metadata
Question 11
HOTSPOT -
You need to consider the underlined segment to establish whether it is accurate.
Hot Area:
Question 12
HOTSPOT -
Complete the sentence by selecting the correct option in the answer area.
Hot Area:
Question 13
You are planning to host practical training to acquaint learners with data visualization creation using Python. Learner devices are able to connect to the internet.
Learner devices are currently NOT configured for Python development. Also, learners are unable to install software on their devices as they lack administrator permissions. Furthermore, they are unable to access Azure subscriptions.
It is imperative that learners are able to execute Python-based data visualization code.
Which of the following actions should you take?
- A: You should consider configuring the use of Azure Container Instance.
- B: You should consider configuring the use of Azure BatchAI.
- C: You should consider configuring the use of Azure Notebooks.
- D: You should consider configuring the use of Azure Kubernetes Service.
Question 14
HOTSPOT -
Complete the sentence by selecting the correct option in the answer area.
Hot Area:
Question 15
You have recently concluded the construction of a binary classification machine learning model.
You are currently assessing the model. You want to make use of a visualization that allows for precision to be used as the measurement for the assessment.
Which of the following actions should you take?
- A: You should consider using Venn diagram visualization.
- B: You should consider using Receiver Operating Characteristic (ROC) curve visualization.
- C: You should consider using Box plot visualization.
- D: You should consider using the Binary classification confusion matrix visualization.
Question 16
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=1.
Will the requirements be satisfied?
- A: Yes
- B: No
Question 17
DRAG DROP -
You are in the process of constructing a regression model.
You would like to make it a Poisson regression model. To achieve your goal, the feature values need to meet certain conditions.
Which of the following are relevant conditions with regards to the label data? Answer by dragging the correct options from the list to the answer area.
Select and Place:
Question 18
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 carrying out feature engineering on a dataset.
You want to add a feature to the dataset and fill the column value.
Recommendation: You must make use of the Group Categorical Values Azure Machine Learning Studio module.
Will the requirements be satisfied?
- A: Yes
- B: No
Question 19
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 carrying out feature engineering on a dataset.
You want to add a feature to the dataset and fill the column value.
Recommendation: You must make use of the Join Data Azure Machine Learning Studio module.
Will the requirements be satisfied?
- A: Yes
- B: No
Question 20
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 carrying out feature engineering on a dataset.
You want to add a feature to the dataset and fill the column value.
Recommendation: You must make use of the Edit Metadata Azure Machine Learning Studio module.
Will the requirements be satisfied?
- A: Yes
- B: No
Question 21
You have been tasked with ascertaining if two sets of data differ considerably. You will make use of Azure Machine Learning Studio to complete your task.
You plan to perform a paired t-test.
Which of the following are conditions that must apply to use a paired t-test? (Choose all that apply.)
- A: All scores are independent from each other.
- B: You have a matched pairs of scores.
- C: The sampling distribution of d is normal.
- D: The sampling distribution of x1- x2 is normal.
Question 22
You want to train a classification model using data located in a comma-separated values (CSV) file.
The classification model will be trained via the Automated Machine Learning interface using the Classification task type.
You have been informed that only linear models need to be assessed by the Automated Machine Learning.
Which of the following actions should you take?
- A: You should disable deep learning.
- B: You should enable automatic featurization.
- C: You should disable automatic featurization.
- D: You should set the task type to Forecasting.
Question 23
You need to implement a Data Science Virtual Machine (DSVM) that supports the Caffe2 deep learning framework.
Which of the following DSVM should you create?
- A: Windows Server 2012 DSVM
- B: Windows Server 2016 DSVM
- C: Ubuntu 16.04 DSVM
- D: CentOS 7.4 DSVM
Question 24
You are preparing to train a regression model via automated machine learning. The data available to you has features with missing values, as well as categorical features with little discrete values.
You want to make sure that automated machine learning is configured as follows:
ā missing values must be automatically imputed.
ā categorical features must be encoded as part of the training task.
Which of the following actions should you take?
- A: You should make use of the featurization parameter with the 'auto' value pair.
- B: You should make use of the featurization parameter with the 'off' value pair.
- C: You should make use of the featurization parameter with the 'on' value pair.
- D: You should make use of the featurization parameter with the 'FeaturizationConfig' value pair.
Question 25
You make use of Azure Machine Learning Studio to develop a linear regression model. You perform an experiment to assess various algorithms.
Which of the following is an algorithm that reduces the variances between actual and predicted values?
- A: Fast Forest Quantile Regression
- B: Poisson Regression
- C: Boosted Decision Tree Regression
- D: Linear Regression
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