Many people in the IT Industry are thinking that it’s a great time to be a data scientist these days, do you feel the same too? Talking of a buzz-worthy career, data science has become one of the fastest-growing disciplines. So, that is the reason why the DP 100 exam is taking over the job market at a very brisk pace.
Let’s see what Microsoft Certified Azure Data Scientist Associate (DP 100) is.
The topics covered in this blog are:
- What Is Azure Data Scientist Certification?
- Why You Should Learn Data Science?
- DP-100 Certification Benefits
- Pre-requisites For DP-100
- DP 100 Exam Details
- Learning Path
- Exam Topics
- DP-100 Hands-On Guide
- Who This Certification Is For?
- Exam Retake Policy
- FAQs
What Is Azure Data Scientist Certification? ^
The DP 100 Microsoft Azure Data Scientist Certification is aimed towards those who apply their knowledge of data science and machine learning to implement and run machine learning workloads on Azure, using Azure Machine Learning Service. This implies planning and creating a suitable working environment for data science workloads on Azure, running data experiments, and training predictive ML models.
Why You Should Learn Data Science? ^
There is a lot of raw data generated per day in most IT Industries, so they need a dedicated team who can evaluate this data, plot this data to make inferences, and apply the Machine Learning algorithm to make predictions. Hence there is a huge gap in the demand and supply of Data Scientists.
Note: Do Read Our Blog on Automated Machine Learning.
The average salary for a Data Scientist is $117,345/yr as of some resources. This is above the national average of $44,564. Hence, a Data Scientist makes 163% more than the national average salary!
Read more:MLOpsis based on DevOps principles and practices that increase the efficiency of workflows and improve the quality and consistency of machine learning solutions.
DP 100 | Certification Benefits ^
- Increase in demand for Data Scientists. The CV with this gleaming certification will have an enormous advantage.
- In terms of job prospects and earnings, a certification leads to a rampant gain in both.
- Most of the people agree that certification has improved their earnings and 84% of people have seen better job prospects after getting certified.
- Updating your profile with this certificate will boost your job profile and shoot up your chances of getting chosen.
Also read: To understand Azure Cloud Management Tools in a better way
Pre-requisites For DP 100 Exam ^
- Fundamental knowledge of Microsoft Azure
- Experience in writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib.
- Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or TensorFlow.
DP-100 | Exam Details ^
- Certification Name:[DP-100] Microsoft Certified: Azure Data Scientist Associate.
- Prerequisites:There are no prerequisites for taking this certification.
- Exam Duration:180minutes
- Number of Questions:40 – 60
- Passing Score: 700
- Exam Cost:USD 165.00
You can apply for Microsoft Certified Azure Data Science Associate [DP-100]by going to the official page.
Learning Path For DP-100
Check out: Overview of Azure Machine Learning Service
Exam Topics ^
The following domains are the torch-bearers of the DP 100 exam.
1) Design and prepare a machine learning solution (20-25%)
- Creating an Azure Machine Learning Workspace- It includes creating an Azure Machine Learning Workspace in Azure ML studio.
- Manage Data in Azure ML Workspace- It includes selecting Azure storage services and creating and managing datasets.
- Manage to Compute for Experiments- It involves determining the appropriate compute specifications for a training workload, creating compute targets for experiments and training, etc.
- Implement security and access control: determine access requirements and map requirements to built-in roles, manage credentials by using Azure Key Vault, etc.
- Set up an Azure ML development environment- It involves creating compute instances, and accessing Machine Learning workspaces from other development environments.
- Set up an Azure Databricks workspace: create an Azure Databricks workspace, create an Azure Databricks cluster, and create and run notebooks in Azure Databricks
2) Explore data and train models (35-40%)
- Creating ML models using Azure ML designer- It includes creating a training pipeline using a designer.
- Run training scripts in an Azure ML workspace- It includes creating and running an experiment using Azure ML SDK, consuming data from a dataset, configuring run settings for a script, and more.
- Generate Metrics, retrieve experiment outputs & troubleshoot experiment run- It covers log metrics generated from an experiment run and view experiment outputs.
- Use Automated Machine Learning to create optimal models- It covers using the Automated ML interface in Azure Machine Learning Studio, defines a primary metric, and retrieves the best model.
- Tune hyperparameters with Azure Machine Learning- selecting a sampling method, defining the search space, etc.
3) Prepare a model for deployment (20-25%)
- Select Compute for Model Deployment- It includes considering security for deployed services and evaluating compute options for the deployment.
- Create an Azure Machine Learning pipeline for batch inferencing – It involves configuring a ParallelRunStep, configuring compute for a batch inferencing pipeline, publishing a batch inferencing pipeline, etc.
- Apply ML Ops practices- It includes triggering an Azure Machine Learning pipeline from Azure DevOps, automating model retraining based on new data additions or data changes, and more.
4) Deploy and retrain a model (10-15%)
- Use model explainers to interpret models- It involves selecting a model interpreter and generating feature importance data.
- Describe fairness considerations for models- It includes evaluating model fairness based on prediction disparity and mitigating model unfairness.
- Describe privacy considerations for data- It includes describing principles of differential privacy and specifying acceptable levels of noise in data and the effects on privacy.
DP-100 Hands-On Guides ^
For DP-100 we have a list of 20 Step-by-Step Activity Guides (Hands-On Labs) for you to practice and have a clear understanding of the concepts both theoretically and practically. The list of activity guides is as follows:
- Register For Azure Free Trial Account
- Creating an Azure Machine Learning Workspace
- Working with Azure Machine Learning Tools
- Run an Automated Machine Learning Experiment
- Deploy and Test the Predictive Service (Automated ML)
- Creating a Training Pipeline with the Azure ML Designer
- Deploying a Service with the Azure ML Designer
- Running Experiments
- Training and Registering Models
- Work with Data
- Work with Compute
- Creating a Real-time Inferencing Service
- Creating a Batch Inferencing Service
- Tuning Hyperparameters
- Using Automated Machine Learning
- Explore Differential Policy
- Interpreting Models
- Detect and Mitigate Unfairness
- Monitoring a Model with Application Insights
- Monitoring Data Drift
Who This Certification Is For? ^
After all this, you will be waiting to know that are you the one for this certification right? Well, here is your answer to that,
- Candidates who are interested inMachine Learning and AI.
- IT professionalswho have a thorough knowledge of Microsoft Azure and some knowledge of data handling.
- People who are good at statistics.
- Data Scientists who prepare data, train models, and evaluate competing models but have never done this on Azure.
Exam Retake Policy ^
- If a candidate does not clear the certification on the first attempt, then they will have to wait for 24 hoursbefore they try again.
- If the candidate does not clear on the second attempt also, he/she should re-access their training and retake the exam after a period of 14 days.
- At last, a candidate has amaximum of 5 retakesallowed in a year.
FAQs ^
Question 1: How to prepare for the DP-100 certification exam?
Answers: You should follow the right preparation path to pass the DP 100 examination on the primary attempt:
• Conduct an associate in-depth assessment of all exam objectives and note the vital topics
• Register for the DP-100 coaching course
• Utilize DP-100 follow tests for checking your skills
• Work on your weak areas and clear your doubts
Question 2: What are the important domains covered in the DP-100 certification exam?
Answer: DP-100 coaching course and follow tests give comprehensive coverage of all the examination domains within the certification :
1. Setting up associate Azure Machine Learning space
2. Execution of experiments & ml model training
3. Optimisation & management of models
4. Preparation & consumption of models
Question 3: What are the important topics for the DP-100 certification exam?
Answer: The notable topics that candidates ought to harden the DP-100 certification examination embody the subsequent,
• Creation of Azure Machine Learning space and management of data objects
• Execution of training scripts in Azure Machine Learning space
• Automation of model training method
• Utilization of Auto ml for the creation of best models
• Preparation of the model as a service
Question 4: Is there any recommended prerequisite for the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam?
Answer: Any individual meaning to follow a career in knowledge science may pursue the DP-100: Planning and Implementing a Data Science solution on Azure certification examination. However, candidates area unit counseled to possess a basic background in arithmetic, technology, IT, or connected fields.
In addition, candidates ought to have fundamental-level data relating to the Azure cloud platform aboard machine learning. Microsoft Azure additionally recommends that candidates ought to have promising learning acumen in conjunction with skilled work expertise within the IT industry
Question 5: What is the validity of the DP-100 certification?
Answer: The Microsoft Certified Azure Data Scientist Associate certification DP 100 exam has a validity of one year. The qualified candidates will have to again appear for the exam after one year to renew their certification recommended by Microsoft Azure for updating their skills according to new services and technologies pertaining to the DP-100 certification.
Question 6: How much time will I get to complete the DP-100 certification exam?
Answer: The total length of the DP-100 certification examination is 210 minutes. However, candidates got to use half-hour just for reading the examination directions and signing the non-disclosure agreement. Candidates can get to use the remaining 180 minutes for responding to the queries within the examination.
Question 7: What are the roles and responsibilities of a DP-100 certified professional?
Answer: The DP-100 certified skilled takes over the roles and responsibilities of a Microsoft Certified Azure data scientist Associate. The Azure data scientist Associate should utilize machine learning techniques for training, analysis, and preparation of models for the development of AI solutions to deal with business objectives.
In addition, DP-100-certified professionals will utilize applications involving computer vision, language process, predictive analytics, and speech capabilities.
Question 8: What are the benefits of DP-100 certification for my career?
Answers: DP-100 certification allows qualified candidates to showcase their experience and information regarding machine learning and data science to existing and future employers. The certification additionally showcases the talents of execs in operating with a multidisciplinary team for training, analysis, and readying of AI models which will resolve business issues.
Most important of all, the DP-100 certification delivers credible edges for career development by rising skills in numerous ways and best practices associated with Azure knowledge science and machine learning services
Related/References
- Step By Step Activity Guides (Hands-On Labs) for DP-100 certification
- [AZ-900] Azure Fundamentals Certification Exam: Everything you need to know
- [AZ-104] Microsoft Azure Administrator Certification Exam: Everything you need to know
- Register for Exam [DP-100] Designing and Implementing a Data Science Solution on Azure
- DP 100 Exam | Microsoft Certified Azure Data Scientist Associate
- [DP-100] Designing and Implementing a Data Science Solution on Azure
- Microsoft Azure Data Scientist DP-100 FAQ
- Object Detection And Tracking In Azure Machine Learning
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