DEA-C01 exam dumps

DEA-C01 practice question 355 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 355

Select 2

A data engineering team is tasked with building a real-time analytics application on AWS. The application must process streaming data from Amazon Kinesis Data Streams and store the results in a cost-effective data warehouse for ad-hoc querying. Which combination of services should the team use to achieve this requirement?

  1. A

    Amazon Kinesis Data Analytics for processing and Amazon Redshift for storing the results

  2. B

    AWS Glue for processing and Amazon S3 for storing the results

  3. C

    Amazon Kinesis Data Firehose for direct delivery to Amazon Redshift

  4. D

    Amazon EMR for processing and Amazon OpenSearch Service for storing the results

  5. E

    Amazon Kinesis Data Streams for ingestion and Amazon DynamoDB for storing the results

Show answer and explanation

Correct answers: A, C

Explanation

To build a real-time analytics application, Amazon Kinesis Data Analytics and Amazon Kinesis Data Firehose are ideal for processing and delivering streaming data, respectively. Amazon Redshift serves as a cost-effective data warehouse for storing and querying processed data. This combination optimally balances real-time processing requirements and cost-effective storage for ad-hoc querying.

  • A. Correct.

    Correct: Amazon Kinesis Data Analytics can process streaming data in real-time, and Amazon Redshift is a cost-effective data warehouse suited for ad-hoc querying.

  • B. Incorrect.

    Incorrect: AWS Glue is used for ETL workflows and batch processing, not for real-time streaming data processing.

  • C. Correct.

    Correct: Amazon Kinesis Data Firehose can deliver streaming data directly to Amazon Redshift, simplifying the pipeline for this use case.

  • D. Incorrect.

    Incorrect: Amazon EMR is better suited for big data processing using frameworks like Apache Spark or Hadoop, and Amazon OpenSearch Service is not a cost-effective data warehouse for ad-hoc querying.

  • E. Incorrect.

    Incorrect: While Amazon Kinesis Data Streams is used for ingestion, Amazon DynamoDB is a NoSQL database and is not designed for ad-hoc analytical queries.

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