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What Next after This Certification?

The certification obtained from passing DP-100 exam is proof of intermediate skills in data science since it is within the associate hierarchy. Apart from applying for and getting a job in a preferred company, you can also expand your skills in an area of interest. With the role-based scheme, there are expert certifications awaiting you to earn. They include the Microsoft Certified: Azure Solutions Architect Expert and the Microsoft Certified: Azure DevOps Engineer Expert.

Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx

Step 5: Studying with Books

Books is another efficient preparation tool. There are several guides available for the Microsoft DP-100 exam but the most popular are listed below:

How I Passed DP-100: Designing and Implementing a Data Science Solution on Azure: Sure Shot Certification Tips by Empirical Matt Publications
Exam Ref DP-100 Designing and Implementing a Data Science Solution on Azure 1st Edition by Pierstefano Tucci
Designing and Implementing a Data Science Solution on Azure: Prepare for exam DP-100 by Stavros Koureas
Designing and Implementing a Data Science Solution on Azure - Exam Prep: Microsoft Azure DP-100 Certification Exam | Most Unique & Latest Questionnaires by VB Dev
Learn How to Pass DP-100: Designing and Implementing a Data Science Solution on Azure Exam: Learn at your fingertips by Rodrezil Publications

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.

Passing the Microsoft DP-100: Designing and Implementing a Data Science Solution on Azure exam is the major requirement for earning the Microsoft Certified: Azure Data Scientist Associate certification. This test measures the ability of the professionals to execute the following technical tasks: setting up an Azure Machine Learning workspace; running experiments & train models; optimizing and handling models; deploying and consuming models.

Microsoft DP-100 Exam Syllabus Topics:

Section	Objectives
Explore and analyze data	- Perform exploratory data analysis - Ingest and prepare data for modeling
Train machine learning models	- Tune hyperparameters and evaluate models - Train models using Azure Machine Learning
Optimize and manage models	- Track experiments and manage model lifecycle - Improve model performance
Design and prepare a machine learning solution	- Plan and configure Azure Machine Learning workspace - Select appropriate Azure services for machine learning workloads - Manage compute and data assets
Deploy and consume models	- Monitor deployed models and endpoints - Deploy models to endpoints

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions:

Question #1
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 train and register a machine learning model.
You plan to deploy the model as a real-time web service. Applications must use key-based authentication to use the model.
You need to deploy the web service.
Solution:
Create an AksWebservice instance.
Set the value of the auth_enabled property to True.
Deploy the model to the service.
Does the solution meet the goal?

A. No
B. Yes

Question #2
You use Azure Machine Learning to train a model.
You must use a sampling method for tuning hyperparameters. The sampling method must pick samples based on how the model performed with previous samples.
You need to select a sampling method.
Which sampling method should you use?

A. Random
B. Bayesian
C. Grid

Question #3
You register a model that you plan to use in a batch inference pipeline.
The batch inference pipeline must use a ParallelRunStep step to process files in a file dataset. The script has the ParallelRunStep step runs must process six input files each time the inferencing function is called.
You need to configure the pipeline.
Which configuration setting should you specify in the ParallelRunConfig object for the PrallelRunStep step?

A. process_count_per_node= " 6 "
B. node_count= " 6 "
C. error_threshold= " 6 "
D. mini_batch_size= " 6 "

Question #4
You use Azure Machine Learning to train a model based on a dataset named dataset1.
You define a dataset monitor and create a dataset named dataset2 that contains new data.
You need to compare dataset1 and dataset2 by using the Azure Machine Learning SDK for Python.
Which method of the DataDriftDetector class should you use?

A. update
B. get
C. backfill
D. run

Question #5
You have an Azure Al Foundry project and a CSV file stored in Azure Blob Storage. You plan to add the CSV file as the grounding data to the project for RAG by using the file data type. You need to specify the URL schema to designate the blob location. Which URL schema should you specify?

A. sftp
B. https
C. nfs
D. file

Solutions:

Question #1
Correct Answer: B

Question #2
Correct Answer: B

Question #3
Correct Answer: B

Question #4
Correct Answer: C

Question #5
Correct Answer: B

DP-100 Testing Engine: Install on multiple computers for self-paced, at-your-convenience training.

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Microsoft Azure DP-100 Braindumps