1. Home
  2. Microsoft
  3. DP-100 Exam Questions

Free DP-100 Exam Questions - Microsoft DP-100 Exam

Microsoft DP-100 Exam

Designing and Implementing a Data Science Solution on Azure

Total Questions: 265

Based on Official Syllabus Topics of Actual Microsoft DP-100 Exam

During the preparation, you can be confused about Microsoft exam question types, exam pattern, and allocated time to attempt questions of the Microsoft Azure Data Scientist Associate certification exam. Study4Exam helps you to remove these doubts with 3 formats of its Microsoft DP-100 exam preparation. We ensure that you will easily pass the Microsoft Designing and Implementing a Data Science Solution on Azure exam either by using DP-100 PDF questions or taking the practice exam is web-based and desktop formats. You can prepare DP-100 practice questions in PDF format at any time and from any place with smartphones, laptops, or tablets. Preparation evaluation is very helpful to remove mistakes and successfully prepare for the Microsoft Azure Data Scientist Associate DP-100 exam. The Microsoft Azure Data Scientist Associate DP-100 practice exam is one of the key steps of your exam preparation plan to identify your preparation mistakes, strengthen weaker areas of the preparation, and get familiar with the actual exam environment. Web-based and desktop Microsoft DP-100 practice exams are available to help you do self-assessment.

How these Free Questions can help you Prepare for the actual Microsoft DP-100 Exam?

Understand the Actual DP-100 Exam Syllabus, Format, and Question Types

Get official information about the syllabus and format of the exam to set an effective study plan. This information helps you to know what type of questions and topics will appear in the Microsoft DP-100 exam. Don’t waste your time and concentrate on such learning content which is expected in the actual exam.

Self-Asses your preparation for the actual Microsoft Designing and Implementing a Data Science Solution on Azure Exam

Manage your daily routine to ensure that you have the proper time to study for the Microsoft Designing and Implementing a Data Science Solution on Azure exam every day. Sit in a calm environment and do hard work daily to cover the entire DP-100 exam syllabus. It is not possible to study one morning and pass the DP-100 exam the next day. If you want to get passing marks on the first attempt, prepare for the Microsoft DP-100 exam daily.

Microsoft DP-100 Questions

Q1.

You are creating a new Azure Machine Learning pipeline using the designer.

The pipeline must train a model using data in a comma-separated values (CSV) file that is published on a

website. You have not created a dataset for this file.

You need to ingest the data from the CSV file into the designer pipeline using the minimal administrative effort.

Which module should you add to the pipeline in Designer?

Q2.

You train and register a model in your Azure Machine Learning workspace.

You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input data.

You need to create the inferencing script for the ParallelRunStep pipeline step.

Which two functions should you include? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Q3.

You create a batch inference pipeline by using the Azure ML SDK. You run the pipeline by using the following code:

from azureml.pipeline.core import Pipeline

from azureml.core.experiment import Experiment

pipeline = Pipeline(workspace=ws, steps=[parallelrun_step])

pipeline_run = Experiment(ws, 'batch_pipeline').submit(pipeline)

You need to monitor the progress of the pipeline execution.

What are two possible ways to achieve this goal? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Q4.

You create a deep learning model for image recognition on Azure Machine Learning service using GPU-based training.

You must deploy the model to a context that allows for real-time GPU-based inferencing.

You need to configure compute resources for model inferencing.

Which compute type should you use?

Q5.

You create a datastore named training_data that references a blob container in an Azure Storage account. The blob container contains a folder named csv_files in which multiple comma-separated values (CSV) files are stored.

You have a script named train.py in a local folder named ./script that you plan to run as an experiment using an estimator. The script includes the following code to read data from the csv_files folder:

You have the following script.

You need to configure the estimator for the experiment so that the script can read the data from a data reference named data_ref that references the csv_files folder in the training_data datastore.

Which code should you use to configure the estimator?

Solutions:
Question: 1 Answer: D
Question: 2 Answer: A, D
Question: 3 Answer: D, E
Question: 4 Answer: B
Question: 5 Answer: B

Limited Time Offer

50%

Off

Get Premium DP-100 Questions as Interactive Practice Test or PDF

Get Full Access for Microsoft DP-100 questions with 50% exclusive Discount

Get All Questions DemoImgs1
Disscuss Microsoft DP-100 Topics, Questions or Ask Anything Related

Currently there are no comments in this discussion, be the first to comment!