Professional Data Engineer Exam: Becoming and Staying Certified in 2024

[ScienceCat]

Make a Plan for Certification with PDE

With Q1 rapidly progressing, now is a great time to make sure you have a plan for validating your data engineering skills.. Professional Data Engineer (PDE) certification holders, upcoming renewers, and the soon-to-be-certified candidates should take note of the recent updates to the Google Cloud Professional Data Engineer certification. You may have missed that we have made updates to both our certification and the training you can take to prepare for your certification journey. Google Cloud’s PDE exam page and preparation learning content, reflect the most up to date information on the exam, so catch detail below. 

What are the changes we made for PDE?

The new Professional Data Engineer exam reflects updates to Google Cloud’s data storing, data sharing, and data governance solutions. The new exam has less emphasis on operationalizing machine learning models and more focus on the data engineer’s role in making data usable and valuable. As machine learning and AI continue to evolve, the critical skill of making data usable places data engineers as a critical path for enterprise success.

Self Paced Learning with Preparing for Professional Data Engineer 

The recently updated Preparing for your Professional Data Engineer Journey  course helps learners prepare for the Professional Data Engineer (PDE) certification exam based on the latest exam guide. Learners will be exposed to and engage with exam topics through a series of videos, readings, diagnostic questions, and knowledge checks. 

The course was built for learners who want to plan their studies and find relevant resources when preparing for the PDE certification exam. Learners can identify gaps in their knowledge to determine which exam guide sections they should focus their study time . 

After completing the Preparing for your PDE Journey, learners will have a personalized study plan to address gaps and improve their skills and knowledge in each domain, and guide them through the rest of their certification readiness journey. 

Links to course:  Cloud Skills Boost, Cloud Skills Boost for Partners, Coursera

The More You Know

Now that you know about these updates and resources, take time to set aside to study, sign up for relevant Cloud Skills Boost courses, and register for your PDE exam. Whether you are building Streaming Analytics or supporting Data Warehouse Modernization, becoming a Google Cloud Certified Professional Data Engineer is a key milestone in this journey.  

You can also check out the certification webpage for more details on Google Cloud certification. Drop in at Google NEXT ‘24 in person, or virtually, and check out what’s new for Data Engineers on Google Cloud.

[QASIMALOUDAT]

Hello

this links may be useful for you

https://cloud.google/certifi

or try

https://cloud.google/certification/engineer

[gautambadwal]

Thank you so much

[prl07]

You may use resources from examapp.io as well!

[sajiya]

thank you

[prl07]

All the best. You may use resources from examapp.io as well!

[sarankumarj]

Thanks for sharing

[Alexsam69]

thank you

[lucasrudek]

thanks for sharing

[Sarthak359]

Thanks 👍 

[shubhamk06]

thanks for sharing.

[shubhamk06]

thanks for sharing

[Fleabyte]

Thanks for sharing

[Gaganabbot]

Thanks for sharing 

[akbarjorayev]

Thanks

[Tejasriyadla]

Thank you for sharing 

[NDDJayasinghe]

Thanks for sharing!!

[Nevillebottom12]

I recently passed my Professional Data Engineer exam on the first attempt by using a combination of resources from the Google exam site and P2PCerts. Their incredible materials simplified my preparation and made success achievable! 🚀💯

[Fleabyte]

can you share some links please Neville

[vj151655]

To prepare for the Google Cloud Professional Data Engineer (PDE) certification:

1. Understand Exam Changes: The exam now emphasizes data storage, governance, and making data usable, with less focus on machine learning operationalization.

2. Use Updated Learning Resources: Enroll in the "Preparing for your PDE Journey" course, which includes videos, diagnostic questions, and a personalized study plan to address knowledge gaps.

3. Focus Areas:

   • Data storage (BigQuery, Cloud Storage)
   • Data governance and security
   • Data pipelines (Dataflow, Pub/Sub)
   • Data architecture and design

4. Gain Hands-On Experience: Practice directly in Google Cloud Console and use Qwiklabs for real-world scenarios.

5. Supplement Learning: Refer to Google Cloud docs, complete practice exams, and use Google Cloud Skills Boost for additional training.

6. Review and Take the Exam: Schedule the exam after completing practice tests and review weak areas.

This approach will ensure you’re well-prepared for the PDE certification.

[sajjadrahman56]

Thanks for sharing

[Subhog]

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