AWS Certified Data Analytics Specialty 2021 – Hands-On - Interacting with Data with AWS AppSync and Amazon Kendra

The video discusses unexpected topics appearing in a data analytics exam, specifically AWS AppSync and Amazon Kendra. AppSync is explained as a service that creates a GraphQL API for backend services, facilitating data exposure to client applications. Amazon Kendra is introduced as a machine learning-powered search API for corporate environments, capable of natural language queries. Both services are highlighted as ways to expose data, with AppSync focusing on backend data services and Kendra on corporate data sources.

What is the primary function of AWS AppSync?

• To manage AWS billing and cost management

• To provide machine learning models for data analytics

• To create REST APIs for backend services

• To automatically create a GraphQL API on top of backend services

Which AWS services can AppSync interact with?

• Amazon S3 and Amazon Redshift

• Amazon DynamoDB and Amazon Aurora

• Amazon SageMaker and Amazon Kinesis

• Amazon EC2 and Amazon RDS

What is the main purpose of Amazon Kendra?

• To analyze big data in real-time

• To provide a search API using natural language

• To manage AWS cloud resources

• To create virtual machines

How does Amazon Kendra improve its search results over time?

• By using thumbs up and thumbs down feedback

• By integrating with more AWS services

• By increasing the number of servers

• By reducing the size of the data repository

What is a unique feature of Amazon Kendra compared to other AWS services?

• It provides real-time data streaming

• It manages cloud storage solutions

• It offers serverless computing

• It uses natural language processing for queries