Dp-203 Preparation Time

[Dot Liljenquist]

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Before I jump into my preparation strategy, please know that in the week I prepared - I had 4 holidays and 2 working days. In case you are preparing during a full working week, you might need to make tweaks to your schedule.

So at normal speed - this course will take around 25 hours but I was able to watch most of the course videos at 1.5x speed (around 17 hours) and still able to understand everything. For any topic that needed extra attention, I paused that video or reduced the speed and listened multiple times. Some of the videos I even watched at 1.75x.

On day 1, I skipped course introduction and moved to section 2 directly and then completed 40% of module 3 for non relational data stores. I had no prior experience with cosmos DB so had to spend more time on that.

I set a target to complete 2 big modules and reach till batch processing module by day 2. But was unable to complete due to too many breaks - lunch, pre-lunch, breakfast, snack, fresh air etc. I was able to complete only 20% of module 4 (Relational Data stores by day 2).

Suggestion/Tip:- Don't fall in the trap of small breaks. Rather take a big 1 hour break and come back to your laptop/desktop. Studying continuously makes a nice rhythm which is very important for certifications.

On day 4, I skipped all type of small breaks and was able to study for 6-7 hours with 1 lunch break of an hour. I was able to go back to Azure portal and do real hands-on. I did all the hands-on work studied so far on this day. Was able to complete till 7th module (Monitor Data storage).

Suggestion/Tip: Don't follow the working sessions along with the video tutorial. Give yourself time to digest all that you see and learn from the videos and then try hands-on the next day and see if you can do it without any help. Also explore multiple options available on multiple pages like networking etc. Google search if you want to know more about any button.

On day 5, I was able to complete all the modules and then reassess what I learnt and what I remember from each of the session. I looked at the title of each of the course and noted what all things were covered in the topic without looking into actual content. It helped me to relate and see what percentage of information is still there in my brain.

Again I used my office time to explore some of the hands-on work that was pending to be done. After finishing my office and taking a break I then spent 2-3 hours on the exam questions. If I see a question as something I don't know, I look for answers on google and go to Azure documentation to understand.

Suggestion/Tip: Once you finish watching all the videos, do go through course notes or your own notes twice a day for sure. Don't try to be perfectionist and try to ensure that you know answers to every question you see online. No matter how much you prepare, you can't get 1000 marks. Focus on ensuring you clear the exam.

Exam tip: I found it bit tough to navigate the case study. So it's better to look for the question first and then read the relevant part of the case study. Reading complete case study will be waste of time. Note that once you answer case study question set, you won't be able to change answers at later stage. There will be few more such questions where you won't be able to mark those for review and change answers later. If you skip those question - there will be a warning before you submit.

3. When to use what service. ADLS for analytical purpose for storing data, blob storage for anything in any format. Databricks when python/scala/R/sql are involved. Synapse or Azure sql DB for relational data storage and Cosmos DB for non-relational Data.

5. Few questions on the steps involved in creating a resource. An example is steps involved in loading data from ADLS to synapse using polybase. ( -us/azure/synapse-analytics/sql/load-data-overview)

10. Note that you can't run scala code on high concurrency databricks cluster. So if you see scala in the requirements - you know high concurrency cluster is not the answer. ( -us/azure/databricks/clusters/configure)

Data engineering jobs are growing in demand. And getting a subject certification is a great way to learn, build and prove your skills. Every cloud service provider offers unique certificates for data engineering services that carry importance but are not easy to get through. Azure DP-203 is a reasonably tricky certification. You will need to spend about 20 hours on online courses, 5 hours on practice exams, 5 hours on reading, and more time to understand the tools and how to register. The purpose of this article was to reach the path quickly. A few tips are here for you to get your Microsoft Azure data engineer certification as soon as possible.

Microsoft Azure Certified Data Engineering is primarily aimed at candidates who want to build a career in the Microsoft Azure space. The Microsoft Certified Azure Data Engineer Associate exam verifies that candidates have basic knowledge and proven skills in data engineering in Microsoft Azure.

For working people, two hours of study a day should help to plan their preparations. The total period required is about two months. In parallel, run a hands-on lab using a sandbox VM. The entire time needed for this is approximately 58 hours. There are also Microsoft online courses and Microsoft certification training available, which help candidates to prepare for the test. The total time required for this is approximately 26 hours. To verify the nature of the questions, run the practice tests provided by e-learning platforms. Understand the answer as well as the concepts behind it. Depending on your practice test score, you can create a list of topics you may need to review.

1. Time management - Prepare well for the practice tests and train yourself in time management skills.

2. Reputation System - Expected to earn 700 out of 1000 points. But that doesn't mean that 70% of the questions are correct. This is because the points are different for each question depending on the difficulty level. For multiple-choice questions, a few points will be added for each correct answer.

3. No negative marking - Try all the questions in the exam. No negative marks will be there for this certification examination.

4. Removal of choices - Many candidates use this pattern for all questions on exams. They read the question first and then see what isn't the correct answer. The candidate can usually drop 50% of the answers by this method immediately. This is very helpful. Then read the question again to make sure you understand all the requirements. Next, consider which is the correct answer.

5. Knowledge Review - When you take the Microsoft certification exam, you have the opportunity to score in each section. In some cases, select a review question in the checkbox at the top left. Please return to this question later before completing this section. The candidates can use this feature for the following reasons. Skip the question you do not understand, or go back to the question and leave it to the end of this section. This will help you build confidence by answering as many questions as possible. This will help relieve tension. You cannot go back, although the exam has some questions that need to be answered once. This is final, and you cannot go back and change this answer.

6. Comments - You can mark the comment box for your question. At the end of the exam, you will have the opportunity to leave a comment on this question.

Candidates who pass the DP-203 exam will be certified by Microsoft Certified: Azure Data Engineer Associate. The DP-203 exam tests your knowledge in four areas: data storage design and implementation, data processing design and development, data security design and implementation, and data storage and data processing monitoring and optimization.

Are you ready to ignite your career in the fast-paced world of data engineering? Look no further than the Azure DP-203 Certification, your gateway to mastering the powerful data processing capabilities of Microsoft Azure. This blog will help you with the necessary preparation tips and a complete roadmap to ace this certification.

According to recent industry reports, the demand for data professionals with Azure skills has skyrocketed by 150% over the past two years. The Azure DP 203 certification equips you with the skills and knowledge needed to navigate the Azure data ecosystem with confidence and expertise. This certification validates your ability to design and implement Microsoft Azure data storage solutions. So, if you're ready to take the leap and set yourself apart as an Azure DP-203 Certified Data Engineer, let's dive in and start your preparation journey.

Enrolling for DP 203: Data Engineering on Microsoft Azure offers comprehensive training with in-demand skills in data engineering on Azure. Here are the top 3 compelling reasons why you should enroll in this certification program offered by Microsoft:

Microsoft has established itself as a leader in data analytics and business intelligence platforms, consistently being recognized in the Gartner Magic Quadrant for Data Analytics and Business Intelligence Platforms for 12 consecutive years. With such a strong track record, it's no wonder that Microsoft has become a preferred choice for businesses and professionals seeking to harness the power of data.

The market for big data and data engineering services is experiencing exponential growth. According to Data Bridge Research, it is likely to grow at a CAGR of 24.13% from 2022 to 2029. This rapid expansion signifies the rising demand for professionals with expertise in data engineering. Thus, by enrolling in DP 203: Data Engineering on Microsoft Azure, you position yourself to tap into this growing market and unlock numerous career opportunities.

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