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Hello!, its been a while. I took some 2 weeks off from studying AWS after my exam on AWS Certified Database – Specialty. Very busy at work but I’m happy to share that I passed the AWS Certified Data Analytics – Specialty yesterday which I took at 2 AM lol as my work starts at 6 AM. Anyways, today I’ll be sharing my thoughts and experience on the said exam certification.
The exam is a little much easy if you are coming or already took at least an AWS Certified Solutions Architect – Associate and AWS Certified Database – Specialty. I got a 50% off voucher which I got from my last exam. The videos, books, and tools I used for studying are as follows:
- AWS Skillbuilder AWS Certified Data Analytics – Specialty Official Practice Question Set (DAS-C01 – English)
- AWS Skillbuilder Exam Readiness: AWS Certified Data Analytics – Specialty
- Tutorialsdojo.com AWS Certified Data Analytics Specialty Practice Exams 2023
- AWS Documentation and FAQ. Amazon Kinesis, Amazon EMR, Amazon Redshift, AWS Glue, Amazon Athena, Amazon QuickSight, Amazon S3, AWS Lake Formation, Amazon Managed Service for Kafka (MSK), Amazon OpenSearch Service, and AWS Snowball
- AWS Whitepapers. “Amazon EMR Migration Guide: How to Move Apache Spark and Apache Hadoop From On-Premises to AWS“, “Big Data Options on AWS“, “Streaming Data Solutions on AWS with Amazon Kinesis” , and “Teaching Big Data Skills with Amazon EMR“
- AWS Console. Try EC2 logs to Amazon OpenSearch Service. Copy and unload to Amazon Redshift. Amazon Redshift has a free trial. Use AWS Glue to crawl Amazon S3. Pull data from Amazon S3 to Amazon Athena.
I can almost see the finish line on finishing AWS Cloud Marathon (11/13). Hopefully, I can finish it this year. I like to thank my wife “A” and my kids Zeev and Amahri. Good luck to those who will take the exam and see you around 🙂