DAS-C01 · Question #94
A telecommunications company is looking for an anomaly-detection solution to identify fraudulent calls. The company currently uses Amazon Kinesis to stream voice call records in a JSON format from its
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Question
A telecommunications company is looking for an anomaly-detection solution to identify fraudulent calls. The company currently uses Amazon Kinesis to stream voice call records in a JSON format from its on- premises database to Amazon S3. The existing dataset contains voice call records with 200 columns. To detect fraudulent calls, the solution would need to look at 5 of these columns only. The company is interested in a cost-effective solution using AWS that requires minimal effort and experience in anomaly-detection algorithms. Which solution meets these requirements?
Options
- AUse an AWS Glue job to transform the data from JSON to Apache Parquet.
- BUse Kinesis Data Firehose to detect anomalies on a data stream from Kinesis by running SQL
- CUse an AWS Glue job to transform the data from JSON to Apache Parquet.
- DUse Kinesis Data Analytics to detect anomalies on a data stream from Kinesis by running SQL
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