DAS-C01 Question #68: Real Exam Question with Answer & Explanation

Question

A company analyzes its data in an Amazon Redshift data warehouse, which currently has a cluster of three dense storage nodes. Due to a recent business acquisition, the company needs to load an additional 4 TB of user data into Amazon Redshift. The engineering team will combine all the user data and apply complex calculations that require I/O intensive resources. The company needs to adjust the cluster's capacity to support the change in analytical and storage requirements. Which solution meets these requirements?

Options

• AResize the cluster using elastic resize with dense compute nodes.
• BResize the cluster using classic resize with dense compute nodes.
• CResize the cluster using elastic resize with dense storage nodes.
• DResize the cluster using classic resize with dense storage nodes.

Explanation

{"question_number": 7, "question_summary": "Add 4 TB of data to Redshift and support I/O intensive complex calculations", "correct_answer": "A", "explanation": "Dense Compute (DC) nodes use SSD storage optimized for I/O intensive, CPU-heavy workloads, making them the right node type when the bottleneck is complex calculations rather than raw storage capacity. Elastic resize is preferred over classic resize because it completes in minutes with minimal cluster downtime (classic resize can take hours and requires a full data redistribution). Dense Storage (DS) nodes maximize storage per dollar but use HDD, which is slower for I/O intensive processing. The combination of elastic resize + dense compute nodes meets both the speed-of-change and performance requirements.", "generated_by": "claude-sonnet", "llm_judge_score": 4}

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