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Answer: Create OpenSearch Dashboards by using the data from OpenSearch Service.
Option A is CORRECT because OpenSearch Dashboards is specifically designed to work with Amazon OpenSearch Service and provides a near real-time visualization of data. Since the data is being ingested into Amazon OpenSearch Service as part of the pipeline, creating dashboards directly in OpenSearch Dashboards minimizes latency, as it queries the data in near real-time from the underlying OpenSearch indices. This option eliminates the need for additional data processing or movement, ensuring the lowest latency for data visualization.
Author: Ritesh Yadav
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Question 16/58
A company is creating near real-time dashboards to visualize time series data. The company ingests data into Amazon Managed Streaming for Apache Kafka (Amazon MSK). A customized data pipeline consumes the data. The pipeline then writes data to Amazon Keyspaces (for Apache Cassandra), Amazon OpenSearch Service, and Apache Avro objects in Amazon S3.
Which solution will make the data available for the data visualizations with the LEAST latency?
A
Create OpenSearch Dashboards by using the data from OpenSearch Service.
B
Use Amazon Athena with an Apache Hive metastore to query the Avro objects in Amazon S3. Use Amazon Managed Grafana to connect to Athena and to create the dashboards.
C
Use Amazon Athena to query the data from the Avro objects in Amazon S3. Configure Amazon Keyspaces as the data catalog. Connect Amazon QuickSight to Athena to create the dashboards.
D
Use AWS Glue to catalog the data. Use S3 Select to query the Avro objects in Amazon S3. Connect Amazon QuickSight to the S3 bucket to create the dashboards.
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