How to book the AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam
To apply for the AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam , You have to follow these steps:
- Step 1: Go to the AWS Certified Data Analytics - Specialty (DAS-C01) Professional Official Site
- Step 2: Read the instruction Carefully
- Step 3: Follow the given steps
- Step 4: Apply for the AWS-Certified Data Analytics - Specialty (DAS-C01)-Professional Exam
You can read the Registration procedure of the AWS Certified Data Analytics Specialty Exam
In order to apply for the AWS Certified Data Analytics - Specialty, You have to follow these steps
- Step 1: Sign in to AWS Training
- Step 2: Click Certification in the top navigation
- Step 3: Click AWS Certification Account Button
- Step 4: Followed by Schedule New Exam
- Step 5: Search the AWS Certified Data Analytics - Specialty exam
- Step 6: Click either the Schedule at PSI or Schedule at Pearson VUE button
- Step 7: Select Date, time and Schedule your test
You can read the AWS Certified Data Analytics Specialty Exam formate below
Format: Multiple choices, multiple answers
- Language: English
- Length of Examination: 170 minutes
- Passing score: 750
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Exam Topics
As for Amazon DAS-C01, the vendor provides the learners with the guide that includes the detailed information about all its domains. All in all, the topics covered in the exam content are as follows:
- Storage and Data Management
This domain evaluates the professionals’ skills in determining the operational characteristics of the given storage solution for analytics, defining a data lifecycle based on the business requirements & usage patterns, determining an appropriate system for managing Metadata and cataloging data, as well as selecting the appropriate data layout, format, structure & schema, and determining data access & retrieval patterns.
- Processing
In the framework of this subject area, the test takers have to perform their knowledge and skills in determining the proper data processing solution requirements, operationalizing & automating a data processing solution, designing a solution for preparing and transforming data for analysis, and more.
- Collection
The first part requires that the candidates demonstrate their expertise in determining the operational characteristics of features of the collection system, selecting a collection system that addresses the main properties of data, such as compression, format, and order, as well as selecting a collection system, which handles the source, volume, and frequency of data.
- Analysis and Visualization
This topic is all about the students’ ability to demonstrate a wide range of technical tasks related to visualization and analysis of data, including selecting the right data visualization & data analysis solutions for a specific scenario, as well as determining the operational features of visualization and analysis solution.
- Security
The questions of the last objective are dedicated to validating the individuals’ understanding of selecting the appropriate authorization and authentication mechanisms, applying data compliance & governance controls, and applying data encryption & protection techniques.
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