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Preparation Process
The most critical part of any IT certification exam is thorough preparation. These are the steps you can rely on when studying for your Amazon AWS Certified Data Analytics – Specialty test. In a very visual way, the AWS training allows you to fully understand every important component of this exam.
- AWS Training Courses
To prepare for your certification exam, you can take and complete the AWS training, which is Exam Readiness: AWS Certified Data Analytics – Specialty. This is a free course that lasts for 3 ½ hours. Through this training, you will be able to prepare for the test by exploring its subject areas and familiarizing yourself with the exam approach and question style.
- AWS Whitepapers
Any preparation process for the Amazon exam should not be complete without the use of the AWS whitepapers. The vendor has numerous documents that directly refer to the Data Analytics products. One of the most recommended papers that you will find in the AWS Data Analytics Learning Path is Kinesis.
- Practice Tests
The next step should be going through the free sample questions that are available for the applicants on the official website. These questions are important as they help you imagine how and what the real exam will look like. It will also allow you to easily assess the knowledge you have acquired through the use of guides, books, whitepapers, and so on.
- Exam Blueprint
The first step to preparing for the Amazon DAS-C01 test is to visit the official webpage, check out what the exam is about, and find out what preparation resources are available & recommended. You will find the official study guide, which contains all the exam objectives in detail, as well as recommendations for further study.
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2. Data Analytics Fundamentals Digital Course by AWS Training
This is a digital training that is self-paced and allows candidates to learn more about planning data analysis solutions & processes. This course walks individuals through the five subjects of the AWS Certified Data Analytics exam, covering basic architecture, potential use cases, and value prepositions, among the rest. It provides detailed information about the AWS services and will the most beneficial for data scientists, data analysts, and data architects who want to enhance their skills in AWS solutions and their implementation. Some of the skills one will master during this program include the following:
- Analyzing the characteristics of the storage system for source data
- Knowledge of the types of data such as structured, unstructured, and semi-structured
- Explain AWS services and their work to visualize data
- Understanding different ways used to analyze data and make reports with Amazon Athena and Amazon QuickSight tools
- The use of Amazon Kinesis for processing streaming data
- Classifying the characteristics of data analysis solutions
- Analyzing how Amazon EMR, Amazon Redshift, and AWS Glue work to process, transform, and cleanse data in data analysis solutions
- Discovering different concepts of data schemas and defining how data and information is stored in the metastores
It is recommended to take this course after experiencing database concepts. The applicant should have a basic understanding of data storage, analytics, and processing. Sessions are offered in Japanese, Portuguese, Spanish, Indonesian, Thai, Vietnamese, Korean, Simplified Chinese, and English.
You can read the AWS Certified Data Analytics Specialty Exam cost
The price of AWS Certified Data Analytics - Specialtyexam is $300 USD.
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