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Microsoft Certified: Azure Data Scientist Associate Certification Exam Practice Test Questions, Microsoft Certified: Azure Data Scientist Associate Exam Dumps

Stuck with your IT certification exam preparation? ExamLabs is the ultimate solution with Microsoft Certified: Azure Data Scientist Associate practice test questions, study guide, and a training course, providing a complete package to pass your exam. Saving tons of your precious time, the Microsoft Certified: Azure Data Scientist Associate exam dumps and practice test questions and answers will help you pass easily. Use the latest and updated Microsoft Certified: Azure Data Scientist Associate practice test questions with answers and pass quickly, easily and hassle free!

The Microsoft Certified: Azure Data Scientist Associate certification validates the expertise of the candidates in machine learning and data science for the implementation and running of machine learning workloads within Azure. It specifically includes the usage of Azure Machine Learning Services.

The applicants for this certification must demonstrate their skills in creating and planning an appropriate working environment for data science workloads within Azure, managing & optimizing models, deploying ML models in productions, and running the data experiments & training the predictive models. To earn this associate-level certificate, the candidates must pass the Microsoft DP-100:  Designing and Implementing a Data Science Solution on Azure exam. The target audience for the certification is Azure Data Scientists. There are no official prerequisites for taking the associated test. However, the learners must develop competence in the exam topics before sitting for it. It is important to mention that this test counts as an eligibility criterion for the ACE college credit.

Exam Details

The Microsoft DP-100 exam can be taken in English, Korean, Simplified Chinese, and Japanese. The candidates must go through the Pearson VUE platform to register for the test. The fee associated with the exam session is $165 that applies to a single delivery of the test. This certification exam is designed to evaluate the technical skills of the individuals in setting up Azure Machine Learning workspaces, optimizing & handling models, consuming & deploying models, as well as running experiments & training models. 

The question types that can be expected during the delivery of the DP-100 test include multiple choice, drag and drop, case study, build list, active screen, short answer, and best answer. Depending on the candidate’s location, they can request to take the exam as a proctored delivery option. 

It is recommended that the students visit the official website to review the preparation options that are available to them. Microsoft recommends the instructor-led training course – Designing & Implementing a Data Science Solution on Azure. This tool equips the individuals with the skills in operating machine learning solutions with the use of Azure Machine Learning. The candidates will develop competence in leveraging their current knowledge of machine learning and Python to manage data preparation and ingestion, machine learning solution monitoring within Microsoft Azure, and model deployment & training. There are also learning paths, which are available free of charge. The applicants can explore three learning paths to prepare for the Microsoft DP-100 exam. Additionally, there are the official practice tests, which they can use to build the required knowledge base for the certification exam.

Exam Topics

To boost your performance in the certification test, you must develop proficiency in the exam topics. The knowledge areas to be studied while preparing for Microsoft DP-100 are enumerated as follows:

Set up Azure Machine Learning Workspaces: 30-35%

  • Create Azure ML Workspaces: The candidates should have competence in configuring workspace settings, managing workspaces with the use of Azure ML studios, as well as creating Azure ML workspaces.
  • Manage Data Objects within Azure ML Workspaces: The skills covered here focus on creating and managing datasets as well as registering and maintaining datastores.
  • Manage Experiment Compute Context: This area requires the individuals’ skills in creating compute instances; creating compute targets for training and experiments; establishing the relevant compute specifications for the training workload.

Run Experiments & Train Models: 25-30%

  • Create Models with the use of Azure ML Designers: The examinees should have competence in creating training pipelines with the use of the Azure ML designer; ingesting data in the framework of a designer pipeline; utilizing custom code modules within the designer; utilizing the designer modules for the definition of pipeline data flows.
  • Run Training Scripts within Azure ML Workspaces: This domain measures one’s skills in creating and running the experiments with the use of Azure ML SDK; consuming data from datasets within an experiment with the use of Azure ML SDK; configuring run settings for scripts.
  • Generate Metrics from Experiment Run: This section covers the learners’ skills in logging metrics from experiment runs; retrieving and viewing experiment outputs; using logs for troubleshooting experiment run errors.
  • Automate Model Training Processes: This topic requires your competence in running a pipeline, monitoring pipeline runs, transferring data between steps in the framework of a pipeline, and creating a pipeline with the use of SDK.

Optimize & Manage Models: 20-25%

  • Apply Automated Machine Learning for Creating Optimal Models: This subject area focuses on the skills associated with using Automated Machine Learning interfaces within Azure ML studio; using Automated Machine Learning from Azure ML SDK; choosing the pre-processing options; defining primary metrics; establishing algorithms to be researched; retrieving the best model; getting data from Automated Machine Learning runs.
  • Apply Hyperdrive for Tuning Hyperparameters: This part requires that the test takers demonstrate their competence in choosing sampling methods, defining the search space, primary metric, and early termination options, as well as locating the model with optimal hyperparameters values.
  • Apply Model Explainers for Interpreting Models: This objective covers the students’ skills in generating feature significance data and selecting a model interpreter.
  • Manage Models: The examinees should demonstrate their skills in monitoring data drift and model usage as well as registering trained models.

Deploy & Consume Models: 20-25%

  • Create Production Compute Targets: This area requires one’s skills in evaluating compute alternatives for deployment and considering security for the deployed services.
  • Deploy Model-as-a-Service: This domain covers the candidates’ skills in configuring deployment settings, consuming deployed services, and troubleshooting deployment container concerns.
  • Create Pipelines for Batch Inferencing: This topic focuses on the skills in publishing batch inferencing pipelines and running batch inferencing pipelines and obtaining outputs.
  • Publish Designer Pipelines-as-a-Web-Service: This objective requires that the applicants demonstrate their competence in consuming deployed endpoints, configuring inference pipelines, and creating target compute resources.

Career Bonuses

The professionals who pass the Microsoft DP-100 exam will be awarded the Microsoft Certified: Azure Data Scientist Associate certificate. This certification prepares them to build a career in the domain of Azure Data. With this sought-after certificate, the successful applicants can explore a wide range of job roles. These include a Data Scientist, a Data Analyst, a Data Scientist Engineer, and an Applied Scientist, among others. The salary rate for these positions is an average of $96,642 per annum.

Microsoft Certified: Azure Data Scientist Associate certification exam dumps from ExamLabs make it easier to pass your exam. Verified by IT Experts, the Microsoft Certified: Azure Data Scientist Associate exam dumps, practice test questions and answers, study guide and video course is the complete solution to provide you with knowledge and experience required to pass this exam. With 98.4% Pass Rate, you will have nothing to worry about especially when you use Microsoft Certified: Azure Data Scientist Associate practice test questions & exam dumps to pass.

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