The DP-100 practice test trains you in designing and implementing data science solutions on Azure.
Why should I take the DP-100 exam?
The Microsoft DP-100 certification offers you the perfect opportunity to develop a rewarding career in Azureas an Azure data scientist, by allowing you todemonstrateyour knowledge ofdata science by using Azure Machine Learning and MLflow. On passing the Microsoft DP-100 exam, you earn the Microsoft Certified: Azure Data Scientist Associate certification.
The DP-100 practice test includes two different modes: certification and practice mode. Certification mode allows you to assess your knowledge and discover your weak areas, with practice mode allowing you to focus on the areas that need development.
Trigger an Azure Machine Learning pipeline, including from Azure DevOps or GitHub
Automate model retraining based on new data additions or data changes
Define event-based retraining triggers
Notes:
The bullets that follow each of the skills measured are intended to illustrate how we are assessing that skill. Related topics may be covered in the exam.
Most questions cover features that are general availability (GA). The exam may contain questions on Preview features if those features are commonly used.
A is an informal exam, simulatingan actual exam, which is intended to prepare you better for the real exam. A MeasureUp practice test contains around 150questions covering the exam objective domains. In a MeasureUp practice test, there are two specific test-taking modes to prepare students for their certification: Certification Mode and Practice Mode.
The Practice Modeallows youto customize your testing environment. You canchoose how many questions you want to include in the practice, the maximum time available to finish the test, whether to randomize the question order, as well as how and which questions will be shown in the test.
The Certification Modesimulates the actual testing environment that you will encounter when taking the certification exam. In this mode, the test is timed and does not permitusers to request the answers and explanations to questions until after the test is completed.
How does it work?
Take a look at our video to see exactly how MeasureUp’s practice tests work.
Why should you trust MeasureUp over free Learning material?
MeasureUp
Free learning material
A greater number of questions, so more opportunities to learn.
A small proportion of questions to introduce the exam.
In-depth explanation sectionsaccompanied by online references of correct and incorrect answers.
Only short explanations of answer options.
A total of fourteen different question types.
Does not cover all the question types found on the exam.
Customize the test based on your needs. Certification & Practice Mode.
Just one type of assessment, without customization options and without a time countdown.
Will studying with a MeasureUp practice test improve my chances of passing at the first attempt?
Yes. MeasureUp's practice tests have been specifically designed to help you both save time and pass at the first attempt. As the test is fully customizable, you can discover and focus on your weak areas, making the learning process quicker and smoother. Also, since the test replicatesthe style, objectives, question types, and difficulty of the official exam, you can be confident that when you can pass the practice test twice in Certification Mode, you are examready.
What can I expect to earn if I pass the DP-100 exam?
On passing the DP-100 and obtaining a job as a mid-leveldata analyst, you can expect to earn a salary in the United States of approximately $100,000.
Source: Nigel Franks International.
Continue growing with MeasureUp’s learning material. Explore the Data and AI learning path.
The MeasureUp DP-100practice test helps you to pass the official exam on the first go.With our Test Pass Guarantee, you can be sure of success as we offer all of your money back if you do not pass.The DP-100 practice test has been created by leading experts in the field.
You can use the DP-100 practice test in two different modes: certification and practice mode. The first gives you the possibility to assess your knowledge and discover your weak areas, and the second allows you to focus on these areas, ensuring you spend your time wisely. Once you have developed your weak areas sufficiently, you can re-take the exam in certification mode to see if you are nowexam ready.
Why should you trust DP-100 Practice Test from MeasureUp over free learning material?
The MeasureUp DP-100 practice test has many benefits over free learning material, including:
A higher number of questions, so more opportunities to learn.
Detailed explanations with online references of correct and incorrect answers.
A total of fourteen different question types, replicating the look and feel of the real exam.
Customizable based on your needs. Certification & Practice Modes.
Test Pass Guarantee.
Written, reviewed, and edited by experts.
Will the questions be the same as in the actual exam?
No. Although the questions will be very similar to those of the official exam in terms of style, content, level of difficulty, for reasons of copyright they will not be exactly the same. This will allow you to fully understand the content you are studying so that, no matter how the questions are focused, you can be confident you are covering the same material and that you will have no problem in passing the exam.
DP-100 CERTIFICATION EXAM
What is theDP-100?
The Microsoft DP-100 is a certification exam specially created for Azure data scientists that want to validate their skills and knowledgein data science by using Azure Machine Learning and MLflow.
How difficult is the DP-100?
This depends on the experience you havein applying data science and machine learning to implement and run machine learning workloads on Azure, as well as the amount of time you are able to dedicate to studying the exam objectives.
How can I prepare for the DP-100 certification exam?
Review the DP-100 exam domains carefully.
Create your study plan for your preparation.
Enroll for the MeasureUp practice tests. Our practice tests emulate the actual exam in terms of style, format, skill sets, question structure, and level of difficulty, and can be taken in two different formats: practice mode and certification mode.
Practice, practice, practice!After looking at all the questions available in the test, checking the correct answers, reviewing the explanations regarding all the different answer options, and consulting the carefully chosen references, it is now time to use the test’s Certification Mode. This is the closest experience you’ll get to the real exam. And when you pass the Certification Mode twice consecutively with a score of 90% or more, you know you are… Exam ready!
How many questions does DP-100 have?
There are approximately between 50 and 60 questions in the Microsoft DP-100 exam.
Is DP-100 worth it?
Earning the DP-100 Microsoft data science solutions on Azure certification is worth obtaining if you have experience with Azure and you want to demonstrate your skills and boost your curriculum vitae. Certifications demonstrate to potential employers that you have the requisite knowledge, skills, and experience to be a valuable professional in their organization.
https://www.measureup.com/microsoft-practice-test-dp-100-designing-and-implementing-a-data-science-solution-on-azure.html7011Microsoft Practice Test DP-100: Designing and Implementing a Data Science Solution on Azure <b>Questions:</b> 130 <br><b>Release Date:</b> 08/2020 (Last Update: 05/2023) <br><b>Job Role:</b> Data Scientist <br><b>Language:</b> English <br><br><p><span data-contrast="auto">The DP-100 practice test contains 130 questions and covers the following objectives:</span><span data-ccp-props="{"201341983":0,"335559739":160,"335559740":259}"> </span></p>
<h3 aria-level="3">Design and prepare a machine learning solution – 39 questions </h3>
<h4 aria-level="2"><span style="color: #0780c2;">Design a machine learning solution </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Determine the appropriate compute specifications for a training workload</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Describe model deployment requirements</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Select which development approach to use to build or train a model</span></li>
</ul>
<p aria-level="2"> </p>
<h4 aria-level="2"><span style="color: #0780c2;">Manage an Azure Machine Learning workspace </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Create an Azure Machine Learning workspace</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Manage a workspace by using developer tools for workspace interaction</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Set up Git integration for source control</span></li>
</ul>
<p aria-level="2"> </p>
<h4 aria-level="2"><span style="color: #0780c2;">Manage data in an Azure Machine Learning workspace </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Select Azure Storage resources</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Register and maintain datastores</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Create and manage data assets</span></li>
</ul>
<p aria-level="2"> </p>
<h4 aria-level="2"><span style="color: #0780c2;">Manage compute for experiments in Azure Machine Learning </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Create compute targets for experiments and training</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Select an environment for a machine learning use case</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Configure attached compute resources, including Azure Databricks and Azure Synapse Analytics</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Monitor compute utilization</span></li>
</ul>
<h3 aria-level="3"> </h3>
<h3 aria-level="3">Explore data, and train models – 48 questions </h3>
<h4 aria-level="2"><span style="color: #0780c2;">Explore data by using data assets and data stores </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Load and transform data</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Analyze data by using Azure Data Explorer</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Use differential privacy</span></li>
</ul>
<p aria-level="2"> </p>
<h4 aria-level="2"><span style="color: #0780c2;">Create models by using the Azure Machine Learning designer </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Create a training pipeline</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Consume data assets from the designer</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Use designer components to define a pipeline data flow</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Use custom code components in designer</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Evaluate the model, including responsible AI guidelines</span></li>
</ul>
<p aria-level="2"> </p>
<h4 aria-level="2"><span style="color: #0780c2;">Use automated machine learning to explore optimal models </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Use automated machine learning for tabular data</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Use automated machine learning for computer vision</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Use automated machine learning for natural language processing (NLP)</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Select and understand training options, including preprocessing and algorithms</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Evaluate an automated machine learning run, including responsible AI guidelines</span></li>
</ul>
<p aria-level="2"> </p>
<h4 aria-level="2"><span style="color: #0780c2;">Use notebooks for custom model training </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Develop code by using a compute instance</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Consume data in a notebook</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Track model training by using MLflow</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Evaluate a model</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Train a model by using Python SDKv2</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Use the terminal to configure a compute instance</span></li>
</ul>
<p aria-level="2"> </p>
<h4 aria-level="2"><span style="color: #0780c2;">Tune hyperparameters with Azure Machine Learning </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Select a sampling method</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Define the search space</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Define the primary metric</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Define early termination options</span></li>
</ul>
<h3 aria-level="3"> </h3>
<h3 aria-level="3">Prepare a model for deployment – 27 questions </h3>
<h4 aria-level="2"><span style="color: #0780c2;">Run model training scripts </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Configure job run settings for a script</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Configure compute for a job run</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Consume data from a data asset in a job</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Run a script as a job by using Azure Machine Learning</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Use MLflow to log metrics from a job run</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Use logs to troubleshoot job run errors</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Configure an environment for a job run</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Define parameters for a job</span></li>
</ul>
<p aria-level="2"> </p>
<h4 aria-level="2"><span style="color: #0780c2;">Implement training pipelines </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Create a pipeline</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Pass data between steps in a pipeline</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Run and schedule a pipeline</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Monitor pipeline runs</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="5" data-aria-level="1"><span data-contrast="none">Create custom components</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Use component-based pipelines</span></li>
</ul>
<p aria-level="2"> </p>
<h4 aria-level="2"><span style="color: #0780c2;">Manage models in Azure Machine Learning </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Describe MLflow model output</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Identify an appropriate framework to package a model</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Assess a model by using responsible AI guidelines</span></li>
</ul>
<h3 aria-level="3"> </h3>
<h3 aria-level="3">Deploy and retrain a model – 16 questions </h3>
<h4 aria-level="2"><span style="color: #0780c2;">Deploy a model</span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Configure settings for real-time deployment</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Configure compute for a batch deployment</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Deploy a model to a real-time endpoint</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Deploy a model to a batch endpoint</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Test a real-time deployed service</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Invoke the batch endpoint to start a batch scoring job</span></li>
</ul>
<p aria-level="2"> </p>
<h4 aria-level="2"><span style="color: #0780c2;">Apply machine learning operations (MLOps) practices </span></h4>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Trigger an Azure Machine Learning pipeline, including from Azure DevOps or GitHub</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Automate model retraining based on new data additions or data changes</span></li>
<li data-leveltext="" data-font="Symbol" data-listid="137" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Define event-based retraining triggers</span></li>
</ul>
<p> </p>
<p><strong><span data-contrast="none">Notes:</span></strong><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">The bullets that follow each of the skills measured are intended to illustrate how we are assessing that skill. Related topics may be covered in the exam.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559684":-2,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" aria-setsize="-1" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Most questions cover features that are general availability (GA). The exam may contain questions on Preview features if those features are commonly used.</span></li>
</ul>
<p> </p>
<p> </p> <u><a target="_blank" href="https://docs.measureup.com/knowledgebase/system-requirements/">System Requirements</a></u>https://www.measureup.com/media/catalog/product/m/i/microsoft_dp-100_pt_1.png59.4instock9959.44039.6Microsoft151https://www.measureup.com/media/catalog/product/m/i/microsoft_dp-100_pt_1.png7022/measureup/measureup/Microsoft/measureup/Microsoft/Microsoft Technical/measureup/Microsoft/Microsoft Technical/Microsoft Practice Tests2020-08-28T09:48:15+0000