1. You are designing an application architecture that uses AWS Fargate to deploy a machine learning model as a Docker container. The model requires access to a large dataset stored in Amazon S3. Which of the following options will provide the best performance and cost efficiency for accessing the dataset?

A) Copy the dataset to the Fargate task's local storage using the AWS CLI and run the model on the local data.
B) Create an Amazon S3 bucket in the same region as the Fargate task and use Amazon S3 transfer acceleration to improve data transfer speed.
C) Use a VPN connection to access the dataset from the Fargate task.
D) Create a VPC endpoint for Amazon S3 and use it to securely access the dataset from the Fargate task.



2. You are working on a project that requires you to detect faces in an image and compare them with a known set of faces. Which Amazon Rekognition feature should you use for this purpose?

A) DetectFaces
B) DetectLabels
C) SearchFaces
D) RecognizeCelebrities
E) DetectText


3. A financial institution wants to build an ML model to predict customer churn based on their transaction history and demographic information. Which AWS ML application service would be the best fit for this use case, given the need for high accuracy and scalability, and the ability to handle large datasets?

A) Amazon Personalize
B) Amazon Forecast
C) Amazon Kendra
D) Amazon Elasticsearch Service
E) Amazon SageMaker


4. Which AWS service can be used for real-time streaming and batch data ingestion, providing flexible data processing and transformations, and seamless integration with other AWS services?

A) Amazon S3
B) Amazon Kinesis Firehose
C) AWS Glue
D) Amazon SQS



5. You are working on a project to build a machine learning model to predict customer churn based on historical data. The data includes customer demographics, transactional data, and web log data. You want to visualize the data to gain insights and explore correlations between different variables. Which of the following AWS services would you use for this purpose?

A) Amazon Redshift
B) AWS Glue
C) Amazon QuickSight
D) Amazon S3
E) Amazon Elasticsearch