TABLE OF CONTENT
1. Introduction2. What can you expect from this article? Prerequisites4. Key Benefits5. Exam Pattern6. Percentage of questions for all Modules7. Study Materials and References8. Tips and tricks9. Get Certified NowIntroduction
Data Analyst is a hot job in the IT industry. Data Science has become a fast-growing area that everyone wants to be associated with. Let’s find out what the Microsoft Azure Data Analyst Associate certification exam is all about and how to prepare for it.
What can you expect from this article?
To help you with your skill development and learning, I have created a step-by–step guide. You will find detailed descriptions of each module, exam pattern, study tips and tricks, and links to all related references.
Candidates attempting to pass the Microsoft Azure Data Analyst certification exam need to have a solid understanding of Microsoft Azure cloud concepts. They should also have knowledge of basic Business Intelligence concepts such as reporting, dashboarding, authoring measures, and KPIs using Microsoft Power BI. They should also be familiar with data preparation and cleaning. This exam does not require any prerequisites.
Data analysts have a solid understanding of Data repositories as well as data processing on-premise and in the cloud.
Microsoft Power BI can also be used to help businesses maximize the value and potential of their data assets.
You will be responsible to design and build scalable data models, clean and transform data, and enable advanced analytics capabilities.
You will also be able collaborate with key stakeholders across verticals in order to deliver relevant insights based upon identified business needs.
This certification will help you advance in your career and make you more competitive in the job market. The key benefits of DA100 Certification Exam
You will have more job opportunities and your earnings will increase as you can confidently accept a higher salary package.
Below is a table that summarizes all exam-relevant details.
Percentage of questions for all Modules:
Prepare the Data (20-25%)
This module will ask you questions about getting data from different datastores using Common Data Service. You will be asked to solve inconsistencies, apply data transformations to table structure, combine queries, and apply user-friendly name conventions to columns or queries.
Model the Data (25-30%)
This module will ask questions about designing and developing a data model, creating measures using DAX, and optimizing the model’s performance.
Visualize the Data (20-25%)
This module will cover creating reports, live dashboards and increasing usability.
Analyze the Data (10-15%)
This module will not ask as many questions as the previous modules. It will focus on enhancing reports to expose insights and performing advanced analysis by conducting Time Series analyses, using groupings or binnings, applying AI insights, and other topics.
Deploy and Maintain Deliverables (10-15%)
This module focuses on managing data, creating and managing workspaces, assigning workspace roles, configuring and updating workspace apps, publishing, importing or updating assets in a workspace, and applying sensitivity labels to workspace contents.
Study Materials and References
*Microsoft Official Courseware is provided by CloudThat upon enrollment for the course*Microsoft Data Analyst Associate exam Learning Path*Microsoft Documentation*Case Studies for