Useful tips for AWS Certified Data Analytics — Specialty certification

 First, check out the Differences between Big Data & Data Analytics Exam

Tips:

1.If you have passed at least an associate exam, your focus should be on Collection, Processing and Analytics, and Visualization domains

2. Know the use cases for each big data analytics service(listed in the next section)

3. Know the anti-patterns for each service

4. Data Analytics certification focuses on OLAP while the Database is OLTP biased. NB: There are OLTP questions on the Data Analytics exam

5. You should understand how to secure the services. Know which ones use fine-grained IAM permissions and which ones do not

6. Understand how encryption at rest and in-transit works and which types are supported for each service

7. You should have experience with Redshift and know the best practices in designing tables and loading data for optimum performance

8. Services used for Batch Processing and Streaming

9. Know the license models for QuickSight and security features supported per model

10. How to load data into QuickSight and how to refresh data

11. When to use Glue and where to use EMR. Know the limitations of Glue

12. S3 store tiers and lifecycle policies

13. Data transformations/conversions — Kinesis Firehose, Lambda, Kinesis Data Analytics, Glue

14. Data formats that improve data processing e.g. Avro, ORC, Parquet

15. Take the exam readiness course from AWS to assess your readiness

Here are the services to know for the exam 👈

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