Microsoft Microsoft Certifications DP-100 Questions & Answers

• Question 161:

  You are analyzing a raw dataset that requires cleaning.

  You must perform transformations and manipulations by using Azure Machine Learning Studio.

  You need to identify the correct modules to perform the transformations.

  Which modules should you choose? To answer, drag the appropriate modules to the correct scenarios. Each module may be used once, more than once, or not at all.

  You may need to drag the split bar between panes or scroll to view content.

  NOTE: Each correct selection is worth one point.

  Select and Place:

  

  Correct Answer:

  

  Box 1: Clean Missing Data

  Box 2: SMOTE Use the SMOTE module in Azure Machine Learning Studio to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.

  Box 3: Convert to Indicator Values Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.

  Box 4: Remove Duplicate Rows

  References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote

  https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-indicator-values

• Question 162:

  You are creating an experiment by using Azure Machine Learning Studio.

  You must divide the data into four subsets for evaluation. There is a high degree of missing values in the data. You must prepare the data for analysis.

  You need to select appropriate methods for producing the experiment.

  Which three modules should you run in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

  NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

  Select and Place:

  

  Correct Answer:

  

  The Clean Missing Data module in Azure Machine Learning Studio, to remove, replace, or infer missing values. Incorrect Answers:

  Latent Direchlet Transformation: Latent Dirichlet Allocation module in Azure Machine Learning Studio, to group otherwise unclassified text into a number of categories. Latent Dirichlet Allocation (LDA) is often used in natural language processing (NLP) to find texts that are similar. Another common term is topic modeling. Build Counting Transform: Build Counting Transform module in Azure Machine Learning Studio, to analyze training data. From this data, the module builds a count table as well as a set of count-based features that can be used in a predictive

  model.

  Missing Value Scrubber: The Missing Values Scrubber module is deprecated.

  Feature hashing: Feature hashing is used for linguistics, and works by converting unique tokens into integers.

  Replace discrete values: the Replace Discrete Values module in Azure Machine Learning Studio is used to generate a probability score that can be used to represent a discrete value. This score can be useful for understanding the information

  value of the discrete values.

  References:

  https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data

• Question 163:

  You manage an Azure Machine Learning workspace named workspaces

  You must develop Python SDK v2 code to attach an Azure Synapse Spark pool as a compute target in workspaces The code must invoke the constructor of the SynapseSparkCompute class.

  You need to invoke the constructor.

  What should you use?

  A. Synapse workspace web URL and Spark pool name

  B. resource ID of the Synapse Spark pool and a user-defined name

  C. pool URL of the Synapse Spark pool and a system-assigned name

  D. Synapse workspace name and workspace web URL

  Correct Answer: B

• Question 164:

  You manage an Azure Machine Learning workspace. You have an environment for training jobs which uses an existing Docker image. A new version of the Docker image is available. You need to use the latest version of the Docker image for the environment configuration by using the Azure Machine Learning SDK v2-What should you do?

  A. Modify the conda.file to specify the new version of the Docker image.

  B. Use the Environment class to create a new version of the environment.

  C. Use the create.or.update method to change the tag of the image.

  D. Change the description parameter of the environment configuration.

  Correct Answer: B

• Question 165:

  You use differential privacy to ensure your reports are private. The calculated value of the epsilon for your data is 1.8.

  You need to modify your data to ensure your reports are private.

  Which epsilon value should you accept for your data?

  A. between 0 and 1

  B. between 2 and 3

  C. between 3 and 10

  D. more than 10

  Correct Answer: B

• Question 166:

  You create an Azure Machine Learning pipeline named pipeline 1 with two steps that contain Python scripts. Data processed by the first step is passed to the second step.

  You must update the content of the downstream data source of pipeline 1 and run the pipeline again.

  You need to ensure the new run of pipeline 1 fully processes the updated content.

  Solution: Change the value of the compute.target parameter of the PythonScriptStep object in the two steps.

  Does the solution meet the goal?

  A. Yes

  B. No

  Correct Answer: B

• Question 167:

  You create a multi-class image classification model with automated machine learning in Azure Machine Learning.

  You need to prepare labeled image data as input for model training in the form of an Azure Machine Learning tabular dataset.

  Which data format should you use?

  A. COCO

  B. JSONL

  C. JSON

  D. Pascal VOC

  Correct Answer: D

• Question 168:

  You need to select a pre built development environment for a series of data science experiments. You must use the R language for the experiments.

  Which three environments can you use? Each correct answer presents a complete solution.

  NOTE: Each correct selection is worth one point.

  A. MI.NET Library on a local environment

  B. Azure Machine Learning Studio

  C. Data Science Virtual Machine (OSVM)

  D. Azure Data bricks

  E. Azure Cognitive Services

  Correct Answer: ABD

• Question 169:

  You have a dataset that is stored m an Azure Machine Learning workspace.

  You must perform a data analysis for differentiate privacy by using the SmartNoise SDK.

  You need to measure the distribution of reports for repeated queries to ensure that they are balanced

  Which type of test should you perform?

  A. Bias

  B. Accuracy

  C. Privacy

  D. Utility

  Correct Answer: B

• Question 170:

  You create an Azure Machine Learning workspace. The workspace contains a dataset named sample.dataset, a compute instance, and a compute cluster. You must create a two-stage pipeline that will prepare data in the dataset and then train and register a model based on the prepared data. The first stage of the pipeline contains the following code:

  

  You need to identify the location containing the output of the first stage of the script that you can use as input for the second stage. Which storage location should you use?

  A. workspaceblobstore datastore

  B. workspacefi lest ore datastore

  C. compute instance

  Correct Answer: C