1. Which of the following AWS services can be used for ingesting and processing data in batch mode for machine learning purposes? (Select 2)(Select 2answers)

A) Amazon Kinesis Data Firehose
B) AWS Glue
C) AWS Data Pipeline
D) Amazon Elastic MapReduce (EMR)
E) Amazon S3


2. Which of the following statements about AWS IoT Greengrass is true?

A) AWS IoT Greengrass allows devices to run AWS Lambda functions locally, without the need for a constant connection to the AWS Cloud.
B) AWS IoT Greengrass is only available in the us-east-1 AWS Region and cannot be used in other AWS Regions.
C) AWS IoT Greengrass is only available for use with Amazon Web Services (AWS) Internet of Things (IoT) devices and cannot be used with other devices.
D) AWS IoT Greengrass provides only limited security features and does not support end-to-end encryption for device communication.
E) AWS IoT Greengrass requires devices to have a constant connection to the AWS Cloud in order to run AWS Lambda functions.


3. In Amazon Lex, what is the difference between a slot type and a slot?

A) A slot type is a variable for user input and a slot is a template that defines the acceptable values for a slot type.
B) A slot type is a type of bot response and a slot is a user input variable.
C) A slot is a variable for user input and a slot type is a template that defines the acceptable values for a slot.
D) A slot is a type of bot response and a slot type is a user input variable.



4. Your company needs to process a large amount of unstructured data, which is stored in an S3 bucket, using Amazon EMR. The data needs to be processed using Apache Hive and Spark. You have to choose the most cost-effective EC2 instance type for the core nodes. Which of the following EC2 instances would you recommend?

A) m4.xlarge
B) t2.large
C) r4.large
D) c5.xlarge
E) m5.large


5. You are working on a machine learning project to predict customer churn for an e-commerce company. As part of the project, you want to create a data visualization that shows the distribution of customer churn across different product categories. Which of the following AWS services would you use for data analysis and visualization?

A) Amazon SageMaker
B) Amazon Elasticsearch Service
C) Amazon QuickSight
D) Amazon EC2
E) Amazon Redshift