Azure Data Fundamental

In this guide we will covering steps to get Azure Data Fundamental certification

Azure is cloud offering by Microsoft.

Azure offers a large collection of services including

Azure, like other cloud platforms, relies on virtualization.

Most computer hardware can be emulated in software, because most computer hardware is simply a set of instructions encoded in silicon.

Using a virtualization layer that maps software instructions to hardware instructions, virtualized hardware can execute in software as if it were the actual hardware itself.

The cloud is a set of physical servers in datacenter that execute virtualized hardware on behalf of customers.

Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

This exam is intended for candidates beginning to work with data in the cloud.

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like

but it is not a prerequisite for any of them.

In order to get Azure Data Fundamental certification you have to give DP 900 exam

DP 900 exam cost $99

There are ways to get it for free.

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There are two ways to get Azure data fundamentals exam for free

Yes you can take the DP 900 exam from home, exam is proctored by PearsonVUE

What you need to do in advance:

When you take your online proctored exam:

Coding is not required for this exam, although scripting knowledge will help you while building azure environment.

Azure Data Fundamentals is entry level exam, it is best for someone new to Azure or cloud computing.

This certification is intended for candidates who are just beginning to with data in the cloud.

Below is list of topics covered in DP 900 exam

Describe core data concepts(15-20)
Describe how to work with relational data on Azure(25-30)
Describe how to work with non-relational data on Azure(25-30)
Describe an analytics workload on Azure((25-30))

Check mode details here

DP 900 exam is not open book. A proctor will be monitor you while exam is in session.

These are recommended way to prepare for DP 900 exam. Make sure to check cloud labs at our website

  1. Free Microsoft training offered to select customer. check here

  2. Microsoft learn(Free )

  3. Live class with trainer

  4. Free Microsoft virtual training days (Check events on our website)

  5. Linkedin Learning DP 900 course (Get a free trial, if you are in USA see if your library offer it )

  6. Pluralsight DP 900

  7. Coursera Specialization

  8. Udemy Courses on DP 900

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Please make sure you practice your skills.

Even if you pass as best it will only get you interview.

Practice what you watch and learn check cloud labs

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Yes before you end your exam you can go back and update you answers. You can complete lab in any way you want, Microsoft will grade you on results. You get 90 minutes to complete the exam. You could get between 40 - 60 questions.

you have to score 700 out of 1000 to pass the exam.

All technical exam scores are reported on a scale of 1 to 1,000 and are scaled such that the passing score is 700.

Any score of 700 or greater is a “pass.”

Any score below 700 is a “fail.”

The actual number of items you need to answer correctly to pass is determined by a group of subject matter experts in conjunction with the Microsoft during the development and maintenance of the exam.

The passing score is based on the knowledge and skills needed to demonstrate competence in the skill domain and the difficulty of the questions that a candidate answers when taking the exam.

As of this writing there is no expiry for DP 900 exam. You can schedule DP 900 exam here If you complete skill challenge or Microsoft virtual training day. You free voucher is already added to your Pearson profile. Go ahead and schedule exam.

Make sure to cover below topics

To help you prepare for certification we have aggregated data from multiple sources.

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