02-13-2022 02:59 AM
When I looked at taking the Databricks Certified Developer for Apache Spark 3.0 certification last year, the FAQ said that certificates do not expire, as they are tied to a specific Spark version. Now, the Academy FAQ states that certifications expire after two years.
I have the following questions:
Thank you!
02-16-2022 08:23 AM
Hi @Amina Bass ,
From our understanding, we should have had the fact that certifications expire in 2 years in our FAQ but we did not. This was an error on our end because we had still set expirations on all certifications in accredible from the beginning.
2. What happens to people who already got certified last year? Do they keep their infinite certification term or do their certifications now expire after 2 years? Some people might have paid for the certification expecting it would be valid indefinitely, as described.
3. Why was this change introduced? If the rationale was that certifications are tied to a specific Spark version (since supposedly features do not change), what justifies now having to re-certify every two years for Apache Spark 3.0?
02-15-2022 12:30 AM
Hi @Amina Bass ! My name is Kaniz, and I'm the technical moderator here. Great to meet you, and thanks for your question! Let's see if the concerned team in the community have an answer to your question first. Or else I will get back to you soon. Thanks.
02-15-2022 12:37 PM
Thank you, @Kaniz Fatma , I am looking forward to the replies.
02-16-2022 08:23 AM
Hi @Amina Bass ,
From our understanding, we should have had the fact that certifications expire in 2 years in our FAQ but we did not. This was an error on our end because we had still set expirations on all certifications in accredible from the beginning.
2. What happens to people who already got certified last year? Do they keep their infinite certification term or do their certifications now expire after 2 years? Some people might have paid for the certification expecting it would be valid indefinitely, as described.
3. Why was this change introduced? If the rationale was that certifications are tied to a specific Spark version (since supposedly features do not change), what justifies now having to re-certify every two years for Apache Spark 3.0?
03-21-2022 03:43 AM
This was the exact same wording on the Academy page "certificates do not expire, as they are tied to a specific Spark version.", all of a sudden, my old certificate (Which does not even mention expiry) was updated to show the expiry. All of this without so much communication as to the certificate was moved from the original space into a new 'credential' space.
All the people who added the certificate on LinkedIn before the 'Credential' movement still have older links that fail upon verification, at least that should have been constant.
A highly unprofessional transition for such a big company.
07-18-2022 12:46 AM
That is indeed the case. Before the exam they literally mentioned your certificate does not expire and now after 2 years I'm getting emails saying it will soon expire. Databricks provided false information here.
Join our fast-growing data practitioner and expert community of 80K+ members, ready to discover, help and collaborate together while making meaningful connections.
Click here to register and join today!
Engage in exciting technical discussions, join a group with your peers and meet our Featured Members.