1. Which AWS service can be used to automate the training and deployment of machine learning models, by allowing data scientists to define the training and inference pipelines, managing the infrastructure, and monitoring the performance of the deployed models in real-time?

A) AWS Batch
B) AWS Glue
C) Amazon Redshift
D) Amazon SageMaker



2. You are building a data processing pipeline on AWS using Amazon Kinesis Data Firehose to transform and deliver data to an Amazon S3 bucket. Your pipeline has a requirement to transform data before it is delivered to S3, and you are considering using a Lambda function to perform the transformation. Which of the following is true regarding using Lambda with Kinesis Data Firehose?

A) Lambda functions can only be used to transform data after it has been delivered to the destination.
B) Lambda functions can be used to transform data records from Kinesis Data Streams, but not from Kinesis Data Firehose streams.
C) Lambda functions can be used for real-time transformation of incoming data records from Kinesis Data Firehose streams.
D) Lambda functions are not supported for use with Kinesis Data Firehose.



3. Which of the following file formats are supported by Amazon Textract for text extraction?

A) JPEG, PNG, and BMP
B) TIFF, GIF, and PSD
C) PDF, DOC, and RTF
D) XLS, CSV, and XML



4. Which AWS service provides a fully managed, serverless data ingestion and streaming processing solution that can be used for real-time machine learning applications?

A) Amazon QuickSight
B) AWS Lake Formation
C) Amazon Kinesis Data Analytics
D) Amazon Kinesis Data Firehose
E) AWS Glue Streaming ETL


5. Which AWS service is best suited for performing ETL (Extract, Transform, Load) operations on large datasets in batch mode?

A) Amazon QuickSight
B) Amazon Kinesis Data Firehose
C) AWS Data Pipeline
D) Amazon Redshift
E) AWS Lambda