Eligibility Criteria For Exam
To be eligible for the exam and its related AWS Certified Data Analytics – Specialty certification, one should fulfill the eligibility criteria. These include expertise and a minimum of 2 years' experience in using AWS services to perform diverse tasks with analytics solutions. Having at least 5 years of practical background in the field of data analytics technologies is also required. Still, the main step one has to make is passing DAS-C01 exam.
Topics of AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam
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- Collection
- Processing
- Security
- Storage and Data Management
- Analysis and Visualization
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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 how Amazon EMR, Amazon Redshift, and AWS Glue work to process, transform, and cleanse data in data analysis solutions
- Understanding different ways used to analyze data and make reports with Amazon Athena and Amazon QuickSight tools
- Knowledge of the types of data such as structured, unstructured, and semi-structured
- The use of Amazon Kinesis for processing streaming data
- Analyzing the characteristics of the storage system for source data
- Explain AWS services and their work to visualize data
- Discovering different concepts of data schemas and defining how data and information is stored in the metastores
- Classifying the characteristics of data analysis solutions
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.
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