DAS-C01 Question #171: Real Exam Question with Answer & Explanation

Question

A web retail company wants to implement a near-real-time clickstream analytics solution. The company wants to analyze the data with an open-source package. The analytics application will process the raw data only once, but other applications will need immediate access to the raw data for up to 1 year. Which solution meets these requirements with the LEAST amount of operational effort?

Options

• AUse Amazon Kinesis Data Streams to collect the data. Use Amazon EMR with Apache Flink to
• BUse Amazon Kinesis Data Streams to collect the data. Use Amazon Kinesis Data Analytics with Apache
• CUse Amazon Managed Streaming for Apache Kafka (Amazon MSK) to collect the data. Use Amazon
• DUse Amazon Kinesis Data Streams to collect the data. Use Amazon EMR with Apache Flink to

Explanation

{"question_number": 9, "question_summary": "Near-real-time clickstream analytics with open-source package, raw data retained up to 1 year, least operational effort", "correct_answer": "B", "explanation": "The requirements are: near-real-time processing, open-source analytics package, raw data accessible for up to 1 year, and minimal operational overhead. Option B uses Kinesis Data Streams (which supports extended data retention up to 365 days, satisfying the 1-year raw data requirement) and Amazon Kinesis Data Analytics with Apache Flink (a fully managed, serverless service for running Apache Flink - an open-source stream processing framework). Because Kinesis Data Analytics is fully managed, it requires the least operational effort. Options A and D use EMR with Apache Flink, which requires provisioning and managing an EMR cluster - more operational overhead. Option C uses Amazon MSK (managed Kafka), which has higher operational complexity and cost compared to Kinesis for this use case.", "generated_by": "claude-sonnet", "llm_judge_score": 3}

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