A company hires experienced specialists to analyze the customer service calls attended by its call center representatives. Now, the company wants to move to AWS Cloud and is looking at an automated solution to analyze customer service calls for sentiment analysis via ad-hoc SQL queries.
As a Solutions Architect, which of the following solutions would you recommend?
Use Amazon Transcribe to convert audio files to text and Amazon Quicksight to perform SQL based analysis on these text files to understand the underlying patterns. Visualize and display them onto user Dashboards for reporting purposes
Use Amazon Transcribe to convert audio files to text and Amazon Athena to perform SQL based analysis to understand the underlying customer sentiments
Use Amazon Kinesis Data Streams to read the audio files and Amazon Alexa to convert them into text. Amazon Kinesis Data Analytics can be used to analyze these files and Amazon Quicksight can be used to visualize and display the output
Use Amazon Kinesis Data Streams to read the audio files and machine learning (ML) algorithms to convert the audio files into text and run customer sentiment analysis
https://aws.amazon.com/blogs/machine-learning/automating-the-analysis-of-multi-speaker-audio-files-using-amazon-transcribe-and-amazon-athena
La idea sería transcribirlo con Transcribe luego realizar querys con athena desde el s3 e integrarlo con Comprehend para en análisis de sentimientos el cual se puede integrar con athena.
A financial services company is moving its IT infrastructure to AWS Cloud and wants to enforce adequate data protection mechanisms on Amazon Simple Storage Service (Amazon S3) to meet compliance guidelines. The engineering team has hired you as a solutions architect to build a solution for this requirement.
Can you help the team identify the INCORRECT option from the choices below?
Amazon S3 can encrypt object metadata by using Server-Side Encryption
Amazon S3 can protect data at rest using Client-Side Encryption
Amazon S3 can encrypt data in transit using HTTPS (TLS)
Amazon S3 can protect data at rest using Server-Side Encryption
Metadata, which can be included with the object, is not encrypted while being stored on Amazon S3. Therefore, AWS recommends that customers not place sensitive information in Amazon S3 metadata.