1. You have developed a machine learning model and want to deploy it on AWS for real-time inference. Which of the following services can be used to deploy your model for online inference with low-latency and high throughput?

A) Amazon EC2
B) Amazon SageMaker Neo
C) AWS Lambda
D) Amazon Elastic Inference



2. Which AWS service can be used for real-time ETL processing of streaming data?

A) Amazon Kinesis Data Firehose
B) Amazon EC2
C) Amazon Redshift
D) AWS Glue
E) AWS Lambda


3. A company needs to extract and transform data from multiple sources including databases and files stored in Amazon S3. The company also needs to join and aggregate data from these sources before loading it into Amazon Redshift for analysis. Which AWS service can be used to perform these tasks?

A) AWS Lambda
B) Amazon QuickSight
C) Amazon EMR
D) AWS Glue
E) Amazon Redshift Spectrum


4. You are working on a project that involves ingesting large amounts of data from a third-party API into an AWS environment. Which of the following services can be used for collecting and processing data from APIs?(Select 2answers)

A) AWS Glue
B) Amazon Kinesis Data Firehose
C) Amazon SNS
D) Amazon SQS
E) AWS Lambda


5. A company is planning to develop a chatbot using Amazon Lex to help customers book hotel reservations. The chatbot should be able to gather necessary information like check-in and check-out dates, number of rooms, and hotel location, and then recommend available hotel options to the customer. Which of the following Amazon Lex features should the company use to implement the required functionality?

A) Bot versions
B) Utterances
C) Intents
D) Fulfillment
E) Slot types