Exam AWS Certified Database - Specialty topic 1 question 152 discussion

Exam question from Amazon's AWS Certified Database - Specialty

Question #: 152
Topic #: 1

[All AWS Certified Database - Specialty Questions]

A large automobile company is migrating the database of a critical financial application to Amazon DynamoDB. The company's risk and compliance policy requires that every change in the database be recorded as a log entry for audits. The system is anticipating more than 500,000 log entries each minute. Log entries should be stored in batches of at least 100,000 records in each file in Apache Parquet format.
How should a database specialist implement these requirements with DynamoDB?

A. Enable Amazon DynamoDB Streams on the table. Create an AWS Lambda function triggered by the stream. Write the log entries to an Amazon S3 object.
B. Create a backup plan in AWS Backup to back up the DynamoDB table once a day. Create an AWS Lambda function that restores the backup in another table and compares both tables for changes. Generate the log entries and write them to an Amazon S3 object.
C. Enable AWS CloudTrail logs on the table. Create an AWS Lambda function that reads the log files once an hour and filters DynamoDB API actions. Write the filtered log files to Amazon S3.
D. Enable Amazon DynamoDB Streams on the table. Create an AWS Lambda function triggered by the stream. Write the log entries to an Amazon Kinesis Data Firehose delivery stream with buffering and Amazon S3 as the destination.

Show Suggested Answer

Suggested Answer: D 🗳️

by leunamE at Nov. 14, 2021, 2:47 p.m.

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tugboat

Highly Voted 3 years, 3 months ago

Selected Answer: D

https://aws.amazon.com/blogs/big-data/streaming-amazon-dynamodb-data-into-a-centralized-data-lake/ - Kinesis Data Firehose – Kinesis Data Firehose helps to reliably load streaming data into data lakes, data stores, and analytics services. It can capture, transform, and deliver streaming data to Amazon S3 and other destinations. It’s a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, transform, and encrypt your data streams before loading, which minimizes the amount of storage used and increases security.

upvoted 7 times

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Germaneli

Most Recent 1 year, 8 months ago

Selected Answer: D

B+C are distractors ("once an hour", "once a day" for 500000 entries *per minute* cannot work). A is difficult to achieve since a Lambda function is limited to 15 mins and there is no buffering. D provides this.

upvoted 1 times

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