1. You are designing a machine learning solution on AWS that requires access to sensitive data stored in an Amazon S3 bucket. You need to ensure that the data is encrypted both at rest and in transit to comply with security requirements. Which of the following options would you recommend for encrypting the data in transit?

A) Use SSL/TLS encryption
B) Use server-side encryption with a customer-managed key
C) Use server-side encryption with an S3-managed key
D) Use client-side encryption



2. You are designing a machine learning workflow that requires a high-performance shared file system to store large amounts of data and enable multiple compute instances to access the data simultaneously. Which of the following Amazon FSx file systems would be the best fit for your workflow?

A) Amazon FSx for Windows File Server
B) Amazon FSx for Lustre
C) Amazon EFS
D) Amazon FSx for NetApp ONTAP
E) None of the above


3. Which of the following destinations is NOT supported by Amazon Kinesis Data Firehose?

A) Amazon Elasticsearch
B) Amazon S3
C) Amazon RDS
D) Amazon DynamoDB
E) Amazon Redshift


4. Which of the following is a correct statement about AWS DeepLens?

A) AWS DeepLens is a managed service that provides automatic scalability for web applications and APIs.
B) AWS DeepLens is an IoT platform that enables you to connect devices to AWS services securely.
C) AWS DeepLens is a serverless compute service that allows developers to run Python code in response to events.
D) AWS DeepLens is a service that provides automatic language translation for text and speech.
E) AWS DeepLens is a fully managed service that allows developers to build and deploy deep learning models on the edge.


5. Which AWS Glue feature is used to generate ETL (Extract, Transform, and Load) code in Python, and allows you to visually build, schedule, and monitor your ETL jobs without having to write any code?

A) Glue Job
B) Glue Crawler
C) Glue Studio
D) Glue Data Catalog
E) Glue ETL Script Generator