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You can read the AWS Certified Data Analytics Specialty Exam advantages below
Amazon AWS Certified Data Analytics - Specialty has more useful and relevant networks that help them in setting career goals for themselves. Amazon AWS Certified Data Analytics - Specialty networks provide them with the right career direction than non certified usually are unable to get.
Amazon AWS Certified Data Analytics - Specialty Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
Amazon AWS Certified Data Analytics - Specialty is distinguished among competitors. Amazon AWS Certified Data Analytics - Specialty certification can give them an edge at that time easily when candidates appear for a job interview employers seek to notify something which differentiates the individual to another.
Amazon AWS Certified Data Analytics - Specialty will be confident and stand different from others as their skills are more trained than non-certified professionals.
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Amazon AWS Certified Data Analytics - Specialty Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
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.
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:
- Explain AWS services and their work to visualize data
- Analyzing the characteristics of the storage system for source data
- Knowledge of the types of data such as structured, unstructured, and semi-structured
- Discovering different concepts of data schemas and defining how data and information is stored in the metastores
- The use of Amazon Kinesis for processing streaming data
- Understanding different ways used to analyze data and make reports with Amazon Athena and Amazon QuickSight tools
- Analyzing how Amazon EMR, Amazon Redshift, and AWS Glue work to process, transform, and cleanse data in data analysis solutions
- 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.
Amazon AWS-Certified-Data-Analytics-Specialty Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Processing | 24% | - Optimize data processing performance - Process data using batch and stream processing - Use AWS analytics engines efficiently |
| Topic 2: Collection | 18% | - Collect streaming and batch data - Design data ingestion solutions - Select appropriate AWS data collection services |
| Topic 3: Security | 18% | - Apply AWS compliance best practices - Secure data at rest and in transit - Implement access control and auditing |
| Topic 4: Storage and Data Management | 22% | - Optimize storage formats and data lifecycle - Design data lakes and data warehouses - Manage structured and unstructured data |
| Topic 5: Analysis and Visualization | 18% | - Enable self-service analytics - Analyze data using AWS analytics tools - Design dashboards and reports |
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