AWS Certified Data Analytics Specialty 2021 - Hands-On! - State of Learning Checkpoint

The video tutorial provides an overview of the AWS Certified Data Analytics Specialty exam guide, detailing the recommended knowledge and experience, exam format, and scoring. It outlines the five domains covered in the course: collection, storage and management, processing, analysis and visualization, and security. Each domain is explored in depth, discussing operational characteristics, appropriate solutions, and best practices. The tutorial emphasizes the importance of hands-on experience and provides tips for exam preparation, encouraging practice and review of the course material.

What is the recommended prior experience before taking the AWS Certified Data Analytics Specialty exam?

• Five years of experience with data analytics technology and two years with AWS.

• A background in software development is mandatory.

• Only one year of experience with AWS is required.

• No prior experience is needed.

How are the questions structured in the AWS Certified Data Analytics Specialty exam?

• There are only essay-type questions.

• Questions are multiple choice and multiple response.

• All questions are true or false.

• The exam consists of fill-in-the-blank questions.

What is the minimum passing score for the AWS Certified Data Analytics Specialty exam?

• 850 out of 1000

• 750 out of 1000

• 600 out of 1000

• 500 out of 1000

Which of the following is NOT one of the five domains covered in the course?

• Data Mining

• Data Storage and Management

• Data Collection

• Data Visualization

What is a key consideration when selecting a data collection system?

• The number of users accessing the system

• The brand of the software

• The frequency, volume, and source of data

• The color of the user interface

Which AWS service is mentioned as a solution for managing metadata?

• Amazon EC2

• AWS Lambda

• AWS Glue

• Amazon S3

What is an important aspect of data security covered in the course?

• Ensuring data is stored in a single location

• Using only open-source tools

• Implementing authentication and authorization mechanisms

• Choosing the right color scheme for dashboards