The data Analyst job is buzzing around in the IT industry and Data Science has become one of the fastest-growing areas that everyone wants to associate with. Let us see what the Microsoft Azure Data Analyst Associate, DA-100 certification exam is about and how do you go about preparing for this exam.
What to expect from this article?
To support your learning and skill development, I have segregated a step-by-step guide to help you accomplish the upskilling goal. A detailed description of topics from each module, exam pattern, preparation tips and tricks, study material, and links to all the related references are available.
Candidates appearing for the Microsoft Azure Data Analyst certification exam must have a thorough knowledge of Microsoft Azure cloud concepts. They should also have experience in basic Business Intelligence concepts like reporting, dashboarding, and authoring measures and KPIs using Microsoft Power BI. They should also have a basic understanding of Data preparation and data cleaning. There are no mandatory prerequisites for this exam.
Data analysts have a fundamental understanding of Data repositories and data processing both on-premise and on the cloud.
You can also enable businesses to maximize the value of their data assets using Microsoft Power BI.
You will be responsible for designing and building scalable data models, cleaning, and transforming data and enabling advanced analytics capabilities, and provide meaningful business value through easy to visualize data solutions.
Also, you will be able to collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.
Leverage your career with this certification and propel yourself ahead in the job market. Key benefits of DA-100 Certification Exam
Not just the job prospects will wide open, but also your earnings will be significantly increased as you can confidently grab a considerably higher salary package.
The below table summarizes all the exam critical details:
Percentage of Questions for all the Modules:
Prepare the Data (20-25%)
From this module, you can expect questions on getting data from different datastores using Common Data Service (CDS) and parameters, profile, clean, transform, and load the data. You will be asked to resolve inconsistencies, apply data shape transformations to table structures, combine queries, apply user-friendly naming conventions to columns and queries.
Model the Data (25-30%)
Questions from this module will be based on designing and developing the data model, create measures by using DAX and optimizing the performance of the data model.
Visualize the Data (20-25%)
From this module, questions will be based on creating reports, live dashboards, increase usability, configuring navigation, Sync Slicers, and design reports for mobile devices.
Analyze the Data (10-15%)
Fewer questions will be asked from this module, which will be about enhancing reports to expose insights, performing advanced analysis by conducting Time Series analysis, use groupings and binnings, apply AI insights, etc.
Deploy and Maintain Deliverables (10-15%)
This module deals with managing datasets, creating, and managing workspaces, assign workspace roles, configure, and update a workspace app, publish, import, or update assets in a workspace, apply sensitivity labels to workspace content.
If you have just begun your Microsoft Azure journey related to data in the cloud, then the “Microsoft Azure Data Fundamentals Certification Exam” will be a good course to get started. This is the first exam in Data Platform Series and is all about the fundamentals.
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WRITTEN BY Anusha Shanbhag
Anusha Shanbhag is a Technical Content Writer at CloudThat Technologies. With over 10 years of industry experience, she has published over 25 blogs, articles, and technical case studies with a keen interest in advanced cloud technologies. She is a public speaker and ex-president of the corporate Toastmaster club.