DAS-C01 Question #117: Real Exam Question with Answer & Explanation

Question

A company owns facilities with IoT devices installed across the world. The company is using Amazon Kinesis Data Streams to stream data from the devices to Amazon S3. The company's operations team wants to get insights from the IoT data to monitor data quality at ingestion. The insights need to be derived in near-real time, and the output must be logged to Amazon DynamoDB for further analysis. Which solution meets these requirements?

Options

• AConnect Amazon Kinesis Data Analytics to analyze the stream data.
• BConnect Amazon Kinesis Data Analytics to analyze the stream data.
• CConnect Amazon Kinesis Data Firehose to analyze the stream data by using an AWS Lambda
• DConnect Amazon Kinesis Data Firehose to analyze the stream data by using an AWS Lambda

Explanation

{"question_number": 6, "correct_answer": "B", "explanation": "Amazon Kinesis Data Analytics (now Amazon Managed Service for Apache Flink) is purpose-built for near-real-time stream processing and can connect directly to Kinesis Data Streams as a source. It supports SQL or Apache Flink applications to derive insights and detect data quality issues with very low latency. The output can be written to DynamoDB using an AWS Lambda function as a destination sink or via a Flink connector. This architecture satisfies all requirements: near-real-time processing, data quality monitoring at ingestion, and logging results to DynamoDB. Note: The answer choices in this question appear to have duplicates due to truncation in the question text, but the intended correct answer is Kinesis Data Analytics (the option that uses the stream analytics service rather than Firehose with Lambda, which is better suited for batched delivery than real-time analytics).", "generated_by": "claude-sonnet", "llm_judge_score": 4}

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