LATEST UPDATED DP-100 RELIABLE TEST SAMPLE–THE BEST TEST QUIZ FOR DP-100 - NEWEST DP-100 RELIABLE EXAM PREP

Latest updated DP-100 Reliable Test Sample–The Best Test Quiz for DP-100 - Newest DP-100 Reliable Exam Prep

Latest updated DP-100 Reliable Test Sample–The Best Test Quiz for DP-100 - Newest DP-100 Reliable Exam Prep

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Tags: DP-100 Reliable Test Sample, DP-100 Test Quiz, DP-100 Reliable Exam Prep, New DP-100 Test Question, DP-100 Free Braindumps

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We provide Microsoft DP-100 web-based self-assessment practice software that will help you to prepare for the Microsoft certification exam. Microsoft DP-100 Web-based software offers computer-based assessment solutions to help you automate the entire Designing and Implementing a Data Science Solution on Azure testing procedure. The stylish and user-friendly interface works with all browsers, including Mozilla Firefox, Google Chrome, Opera, Safari, and Internet Explorer. It will make your certification exam preparation simple, quick, and smart. So, rest certain that you will discover all you need to study for and pass the Microsoft DP-100 Exam on the first try.

Knowing Associated Certification

The Microsoft DP-100 test is associated with the Microsoft Certified: Azure Data Scientist Associate certificate. It is a recently launched certification by Microsoft trying to impart the knowledge of concepts related to machine learning techniques. As a rule, earners are known to have industry-standard expertise related to evaluation and deployment models for building ML solutions. Apart from grating this noteworthy designation, the Microsoft DP-100 Exam will also help the test-taker to gain some ACE college credits.

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The Microsoft DP-100 exam consists of various topics that cover the entire data science process, from data collection and preparation to model training and deployment. Candidates will be required to demonstrate their ability to design and implement solutions that meet specific business requirements, as well as their ability to optimize and monitor those solutions for maximum efficiency. DP-100 exam is intended for data scientists, data engineers, and machine learning engineers who have a good understanding of data science concepts and are familiar with Azure technologies.

The DP-100 Certification Exam is a great way to demonstrate your skills and knowledge in designing and implementing data science solutions on Azure. Designing and Implementing a Data Science Solution on Azure certification is recognized worldwide and is highly valued by employers, making it an excellent investment for your career. Additionally, it can help you differentiate yourself from other professionals in the competitive job market and increase your earning potential.

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q229-Q234):

NEW QUESTION # 229
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:

Does the solution meet the goal?

  • A. No
  • B. Yes

Answer: A

Explanation:
Explanation
train_step is missing.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-pipeline-core/azureml.pipeline.core.pipelinedata?view=azu


NEW QUESTION # 230
You plan to use automated machine learning to train a regression model. You have data that has features which have missing values, and categorical features with few distinct values.
You need to configure automated machine learning to automatically impute missing values and encode categorical features as part of the training task.
Which parameter and value pair should you use in the AutoMLConfig class?

  • A. featurization = 'auto'
  • B. enable_voting_ensemble = True
  • C. enable_tf = True
  • D. task = 'classification'
  • E. exclude_nan_labels = True

Answer: A

Explanation:
Featurization str or FeaturizationConfig
Values: 'auto' / 'off' / FeaturizationConfig
Indicator for whether featurization step should be done automatically or not, or whether customized featurization should be used.
Column type is automatically detected. Based on the detected column type preprocessing/featurization is done as follows:
Categorical: Target encoding, one hot encoding, drop high cardinality categories, impute missing values.
Numeric: Impute missing values, cluster distance, weight of evidence.
DateTime: Several features such as day, seconds, minutes, hours etc.
Text: Bag of words, pre-trained Word embedding, text target encoding.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.
automlconfig


NEW QUESTION # 231
You manage an Azure Machine Learning workspace named workspace1 and a Data Science Virtual Machine (DSVM) named DSMV1.
You must an experiment in DSMV1 by using a Jupiter notebook and Python SDK v2 code. You must store metrics and artifacts in workspace 1 You start by creating Python SCK v2 code to import ail required packages.
You need to implement the Python SOK v2 code to store metrics and article in workspace1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them the correctly order.

Answer:

Explanation:

Explanation


NEW QUESTION # 232
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 are a data scientist using Azure Machine Learning Studio.
You need to normalize values to produce an output column into bins to predict a target column.
Solution: Apply a Quantiles binning mode with a PQuantile normalization.
Does the solution meet the goal?

  • A. No
  • B. Yes

Answer: A

Explanation:
Use the Entropy MDL binning mode which has a target column.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins


NEW QUESTION # 233
You are preparing to use the Azure ML SDK to run an experiment and need to create compute. You run the following code:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://notebooks.azure.com/azureml/projects/azureml-getting-started/html/how-to-use-azureml/training/train-on-amlcompute/train-on-amlcompute.ipynb
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.compute.computetarget


NEW QUESTION # 234
......

DP-100 Test Quiz: https://www.pdfvce.com/Microsoft/DP-100-exam-pdf-dumps.html

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