How Did I Renew the Microsoft Power BI Data Analyst Certification?

Hello Cloud Marathoners !

As a Cloud Marathoner, the journey never stops!
Recently, I renewed my Microsoft Certified: Power BI Data Analyst Associate certification, and I want to share the experience so you can prepare for yours.

Why Renewal Is Important

Microsoft certifications are valid for one year, and renewal ensures your skills stay aligned with the latest Power BI updates. The renewal process is free, online, and proctored—perfect for professionals who want flexibility without scheduling hassles.

The Renewal Process and eligibility

Here’s what I learned from the official Microsoft learn site.

  • Eligibility: You can renew within six months before expiration.
  • Assessment: A short, open-book online assessment focused on recent Power BI updates.

  • Skills Measured:
    • Clean, transform, and load data in Power BI
    • Configure semantic models
    • Use DAX time intelligence and modify filter context
    • Optimize models for performance
    • Create visual calculations and enhance report designs
    • Manage workspaces and secure data access in Power BI Service

  • Attempts: Unlimited until expiration, with a 24-hour wait between retakes.
  • Validity: Passing extends your certification by one year.

Preparation Tips

Microsoft provides a curated learning collection (about 11 hours) to help you prepare. I recommend:

  • Reviewing DAX fundamentals and performance optimization.
  • Practicing workspace management and security settings.
  • Exploring visual design enhancements for better user experience.

My Experience and Exam results

The renewal was straightforward with the following simple, and known steps:

  • Logged into Microsoft Learn, clicked Renew.
  • Took the assessment.
  • Passed on the first attempt! 🎉

The best part? No stress, just focused learning and validation of current skills.

Key Takeaways

  • Start early—don’t wait until the last week.
  • Use Microsoft’s official learning paths for prep.
  • Treat renewal as an opportunity to refresh your knowledge and stay ahead.

Are you planning to renew your Power BI Data Analyst Certification soon?

Drop your thoughts in the comments or share your experience with the Cloud Marathoner community!

Session about Architecting 🚀 a Modern Analytics Cloud Data Platform with Warner

Hello Cloud Marathoners,

Yesterday, we had an engaging session on Cloud Lunch and Learn meetup about Azure Architecture, particularly for Modern Analytics Cloud Data Platform with Warner Chaves.

Modern Analytics

In this post, I will reflect upon some major points in this presentation and architecting session.

Session details and recorded YT link

What was covered?

Our guest speaker covered the following topics in his presentation:

  • Reference architecture for modern analytics platforms
  • Data Warehousing
  • Big Data
  • Lakehouse
  • Data Mesh and more in Microsoft Azure

Summary

At the end of the session, we had an interactive Q&A (Questions and Answers). Please check the recording and reference links as the recording is uploaded to the Cloud Marathoner YT channel.

Thank you for stopping by and checking this session!

Study Guide AZ-305: Part 10 – Design a data integration solution

Hi Cloud Marathoners!

Welcome to the 10th blog post (Part 10/12) of the Azure Architect series to help you get ready for the AZ-305 exam. This post finalizes the third section of this exam – Design Data Storage Solutions.

Our next post will be discussing the last section of this exam – Design Business Continuity Solutions.

And please feel free to check the previous blog posts listed below if you landed on this page for the first time 🙂

Table of content (blog series)

What is the Data Integration ?

It is very natural to wonder – “what is the meaning of data integration”?
In a nutshell, it is a combination of differently sourced data for a high-level overview and analysis. In other words, “Data Integration” – is a common term referring to the requirement to combine data from multiple separate business systems into a single unified view, also known as a single view of the truth.

This unified view is typically stored in a central data repository known as a data warehouse.

Data integration can serve your organization some short- and long-term benefits, including the followings:

✔️ Better Data
✔️ Better Collaboration
✔️ Fast connections between Data Storage
✔️ Increased efficiency and ROI
✔️ Better customer and partner experiences
✔️ A more comprehensive view of your business

Trinamix Cloud Integration solutions with third party software and Oracle  Cloud SaaS applications. - Trinamix

What are the Data Integration solutions in Microsoft Azure?

Application integration often requires connecting multiple independent systems, often in complex ways. This white paper explains how the components of Azure Integration Services—API Management, Logic Apps, Service Bus, and Event Grid—work together to provide a complete solution for integrating both cloud and on-premises applications.

Azure Integration Services


There are several Azure services such as Azure Functions, Azure Data Factory, and Azure Logic Apps are just a few of the services that can help you efficiently solve complex data challenges.


Check out the Overview of Data Integration in Azure from this official resource.

Basic enterprise integration on Azure - Azure Architecture Center |  Microsoft Docs

Part 10: Design a data integration solution

The references below are taken from official Microsoft docs and focused on designing Data Integration solutions in Azure. You could also find it helpful to check the Microsoft docs and learning paths with [Tutorials] below 😉.

This collection of links is gathered with a focus on the exam objectives of the AZ-305 certification exam.

What is Azure Logic Apps?
Azure Logic Apps documentation
What is Azure Service Bus?
Azure Service Bus Messaging documentation
[Tutorials] Azure Logic Apps on Microsoft Learn
[Tutorials] Azure Service Bus on Microsoft Learn
Introduction to Azure Functions
Azure Functions documentation
[Tutorials] Azure Functions on Microsoft Learn

About API Management
API Management documentation
[Tutorials] API Management on Microsoft learn
What is Azure Event Grid?
Azure Event Grid documentation
[Tutorials] Azure Event Grid on Microsoft Learn

Azure Data Factory
Azure Data Factory documentation
[Tutorials] Azure Data Factory on Microsoft Learn
Introduction to Azure Data Lake Storage Gen2
Overview of Azure Stream Analytics Cluster
Azure Stream Analytics documentation

Transact-SQL features supported in Azure Synapse SQL
Introducing data virtualization with PolyBase
Azure Data Lake
Analytics end-to-end with Azure Synapse
[Tutorial] Implement a Data Streaming Solution with Azure Streaming Analytics
Azure Synapse SQL architecture
What is Azure Synapse Analytics?

[Tutorial] Explore Azure database and analytics services
[Tutorial] Data integration at scale with Azure Data Factory or Azure Synapse Pipeline
What is Azure Databricks?
[Blog] 4 common analytics scenarios to build business agility

SUMMARY

Thank you for visiting the AZ-305 Study Guide and checking the Part 10: Design a data integration solution.

The next blog post will be continuation with Part 11: Design a business continuity solution.