DEA-C01 exam dumps

DEA-C01 practice question 91 of 550

AWS Certified Data Engineer - Associate. Associate level, Amazon Web Services. Free question with the correct answer and a full explanation.

DEA-C01 Question 91

Select 2

A company is building a real-time data processing system for monitoring IoT devices deployed in various locations. The system needs to process high-frequency events generated by these devices and trigger specific workflows based on certain conditions (e.g., sending alerts when temperature exceeds a threshold). Which combination of AWS services is most suitable for building an event-driven architecture to achieve this requirement?

  1. A

    Amazon Kinesis Data Streams, AWS Lambda, and Amazon SNS

  2. B

    Amazon S3, AWS Glue, and Amazon Athena

  3. C

    Amazon EventBridge, AWS Lambda, and Amazon DynamoDB

  4. D

    Amazon SQS, AWS Lambda, and Amazon RDS

  5. E

    Amazon EMR, Amazon Redshift, and AWS Lambda

Show answer and explanation

Correct answers: A, C

Explanation

In an event-driven architecture for real-time data processing, services like Amazon Kinesis Data Streams or Amazon EventBridge are ideal for ingesting and routing events. AWS Lambda enables serverless event processing, while services like Amazon SNS (for notifications) or Amazon DynamoDB (for low-latency storage) complement the architecture by enabling downstream workflows. The other combinations are more suited for batch processing or analytics, which are not aligned with the event-driven requirements in this scenario.

  • A. Correct.

    Amazon Kinesis Data Streams is designed for processing real-time streaming data. Combined with AWS Lambda for event-based processing and Amazon SNS for notifications, this option supports an event-driven architecture effectively.

  • B. Incorrect.

    Amazon S3, AWS Glue, and Amazon Athena are primarily used for batch processing and querying of large datasets rather than real-time event-driven workflows.

  • C. Correct.

    Amazon EventBridge facilitates event-driven architectures by managing events between AWS services. AWS Lambda processes events in real time, and Amazon DynamoDB provides low-latency storage, making this combination suitable for event-driven use cases.

  • D. Incorrect.

    Amazon SQS is used for message queuing but lacks the native event-routing capabilities of EventBridge or Kinesis. Amazon RDS is a relational database, not optimal for real-time event-driven processing.

  • E. Incorrect.

    Amazon EMR and Amazon Redshift are designed for big data analytics and data warehousing, respectively, and are not suited for real-time event-driven architectures.

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