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A solutions architect is developing a multiple-subnet VPC architecture. The solution will consist of six subnets in two Availability Zones. The subnets are defined as public, private and dedicated for databases. Only the Amazon EC2 instances running in the private subnets should be able to access a database. Which solution meets these requirements?
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A company is implementing a new application on AWS. The company will run the application on multiple Amazon EC2 instances across multiple Availability Zones within multiple AWS Regions. The application will be available through the internet. Users will access the application from around the world. The company wants to ensure that each user who accesses the application is sent to the EC2 instances that are closest to the user's location. Which solution will meet these requirements?
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A financial services company plans to launch a new application on AWS to handle sensitive financial transactions. The company will deploy the application on Amazon EC2 instances. The company will use Amazon RDS for MySQL as the database. The company's security policies mandate that data must be encrypted at rest and in transit. Which solution will meet these requirements with the LEAST operational overhead?

Question 751 - SAA-C03 discussion

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A company's near-real-time streaming application is running on AWS. As the data is ingested, a Job runs on the data and takes 30 minutes to complete. The workload frequently experiences high latency due to large amounts of incoming data. A solutions architect needs to design a scalable and serverless solution to enhance performance.

Which combination of steps should the solutions architect take? (Select TWO.)

A.
Use Amazon Kinesis Data Firehose to Ingest the data.
Answers
A.
Use Amazon Kinesis Data Firehose to Ingest the data.
B.
Use AWS Lambda with AWS Step Functions to process the data.
Answers
B.
Use AWS Lambda with AWS Step Functions to process the data.
C.
Use AWS Database Migration Service (AWS DMS) to ingest the data
Answers
C.
Use AWS Database Migration Service (AWS DMS) to ingest the data
D.
Use Amazon EC2 instances in an Auto Seating group to process the data.
Answers
D.
Use Amazon EC2 instances in an Auto Seating group to process the data.
E.
Use AWS Fargate with Amazon Elastic Container Service (Amazon ECS) to process the data.
Answers
E.
Use AWS Fargate with Amazon Elastic Container Service (Amazon ECS) to process the data.
Suggested answer: A

Explanation:

Understanding the Requirement: The company needs to design a scalable and serverless solution for a near-real-time streaming application that experiences high latency due to large amounts of incoming data. The job processing takes about 30 minutes.

Analysis of Options:

Amazon Kinesis Data Firehose: Provides a fully managed service for real-time data streaming and ingestion, allowing for seamless data delivery to destinations such as Amazon S3, Redshift, and Elasticsearch.

AWS Lambda with AWS Step Functions: While suitable for orchestration and lightweight processing, Lambda might not handle long-running jobs (max 15 minutes execution limit) efficiently.

AWS DMS: Primarily used for database migration, not for real-time data ingestion in this context.

Amazon EC2 in Auto Scaling Group: Provides scalability but involves managing servers, which is not serverless and adds operational overhead.

AWS Fargate with ECS: Offers a serverless compute engine for containers, allowing easy scaling and management without managing the underlying infrastructure.

Best Solution:

Amazon Kinesis Data Firehose: For ingesting the streaming data efficiently.

AWS Fargate with ECS: For processing the data in a scalable and serverless manner.

Amazon Kinesis Data Firehose

AWS Fargate

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asked 16/09/2024
German Lopez
40 questions
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