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NEW QUESTION 45
An application under development is required to store hundreds of video files. The data must be encrypted within the application prior to storage, with a unique key for each video file.
How should the Developer code the application?
- A. Upload the data to an S3 bucket using server side-encryption with an AWS KMS key.
- B. Use the KMS Encrypt API to encrypt the data. Store the encrypted data key and data.
- C. Use a cryptography library to generate an encryption key for the application. Use the encryption key to encrypt the data. Store the encrypted data.
- D. Use the KMS GenerateDataKey API to get a data key. Encrypt the data with the data key. Store the encrypted data key and data.
Answer: C
NEW QUESTION 46
What does Amazon SQS provide?
- A. A Simple Query Server, managed directly by Amazon Web Services.
- B. An asynchronous message queue service.
- C. A synchronous message queue service.
- D. None of these.
Answer: B
Explanation:
Amazon SQS stands for Simple Queue Services, and provides a cost-effective way to decouple the components of your application through an asynchronous message queue service
http://aws.amazon.com/sqs/
NEW QUESTION 47
A company needs to ingest terabytes of data each hour from thousands of sources that are delivered almost continually throughout the day. The volume of messages generated varies over the course of the day.
Messages must be delivered in real time for fraud detection and live operational dashboards.
Which approach will meet these requirements?
- A. Use AWS Data Pipeline to automate the movement and transformation of data
- B. Use the Amazon S3 API to write messages to an S3 bucket, then process the messages by using Amazon Redshift
- C. Use Amazon Kinesis Data Streams with Kinesis Client Library to ingest and deliver messages
- D. Send the messages to an Amazon SQS queue, then process the messages by using a fleet of Amazon EC2 instances
Answer: C
Explanation:
Explanation/Reference: https://noise.getoto.net/tag/amazon-kinesis-analytics/
NEW QUESTION 48
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