CLF-C02 Question 250
Select 2A company wants to analyze real-time data streams generated by IoT devices, such as temperature and humidity sensors. The company also wants to create dashboards to visualize the data. Which combination of AWS services should they use?
- A
Amazon Kinesis
- B
Amazon Athena
- C
AWS Glue
- D
Amazon QuickSight
- E
Amazon S3
Show answer and explanation
Correct answers: A, D
Explanation
To process and analyze real-time data streams generated by IoT devices, Amazon Kinesis is the correct choice as it supports real-time data ingestion and processing. To visualize the processed data, Amazon QuickSight can be used to create dashboards and share insights. While other services like AWS Glue and Amazon Athena are useful for certain data analytics tasks, they are not suitable for real-time data processing and visualization in this scenario.
- A. Correct.
Amazon Kinesis is designed for real-time data processing, making it ideal for analyzing data streams generated by IoT devices. This is a correct choice.
- B. Incorrect.
Amazon Athena is used for querying data stored in Amazon S3 using SQL-like queries, but it is not designed for real-time data processing. This is not a correct choice for this scenario.
- C. Incorrect.
AWS Glue is a data integration service used for ETL (Extract, Transform, Load) processes. While it can prepare data for analysis, it is not used for real-time stream processing or dashboard creation. This is not a correct choice.
- D. Correct.
Amazon QuickSight is a business intelligence tool that can create dashboards and visualizations. It complements Amazon Kinesis for visualizing the processed real-time data. This is a correct choice.
- E. Incorrect.
Amazon S3 is a storage service and is not directly involved in real-time data processing or dashboard creation. This is not a correct choice.