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 exam format, scoring, and preparation tips. It covers the five domains of the course: collection, storage, processing, analysis, and security. The instructor emphasizes the importance of understanding AWS services and their integration in the data lifecycle. Key topics include data collection methods, storage solutions, processing techniques, and security measures. The tutorial concludes with encouragement to review the course material and practice for the exam.

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

• No prior experience is needed.

• Five years of experience with AWS services.

• Two years of hands-on experience with AWS and prior AWS certifications.

• A degree in data science.

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

• None of the options are correct.

• All options are correct.

• Two or more correct responses out of five or more options.

• One correct answer and three incorrect responses.

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

• 500 out of 1000

• 850 out of 1000

• 600 out of 1000

• 750 out of 1000

Which AWS service is suitable for cataloging data and managing metadata?

• AWS Lambda

• Amazon S3

• Amazon RDS

• AWS Glue

What is a key consideration when selecting a data processing solution?

• The type of database used

• The operational characteristics of the solution

• The color of the user interface

• The number of AWS regions available

Which service is NOT typically used for data visualization in AWS?

• Kibana

• Tableau

• AWS Lambda

• Amazon QuickSight

What is an important aspect of security in AWS data analytics?

• Applying data protection and encryption techniques

• Using AWS Lambda for all operations

• Storing all data in Amazon S3

• Using only public datasets