Exam DEA-C02 Topic 1 Question 287 Discussion

Actual exam question for Snowflake's DEA-C02 exam
Question #: 287
Topic #: 1

A data pipeline ingests clickstream data from various sources into a raw Snowflake table CRAW CLICKS). A transformation job then processes this data and loads it into a more structured 'CLICK EVENTS table, performing filtering, cleaning, and data enrichment. The data engineering team notices significant performance bottlenecks during this transformation process, leading to data freshness issues.
The team wants to optimize this process, considering the following:

A. Use a larger virtual warehouse for the transformation job and partition the 'RAW CLICKS table on the ingestion timestamp to improve data pruning and reduce the amount of data processed during the transformation. B. Implement a change data capture (CDC) mechanism on the source systems to only ingest changed data into 'RAW CLICKS, reducing the overall data volume and the amount of data processed by the transformation job. C. Replace the transformation job with a series of smaller, more specialized jobs, each running on a separate virtual warehouse optimized for the specific task, and orchestrate these jobs using a data pipeline tool. D. Create a materialized view on top of 'RAW CLICKS' that pre-computes the necessary transformations and aggregations, allowing the 'CLICK EVENTS' table to be populated directly from the materialized view. E. Optimize the transformation queries by identifying and rewriting inefficient SQL patterns, ensuring appropriate use of joins, filtering conditions, and data type conversions.

Suggested Answer: B,D,E Vote an answer

Implementing CDC reduces the amount of data processed. Materialized views pre-compute results, avoiding repeated transformations. Optimizing SQL queries improves the efficiency of the transformation logic. Using a larger warehouse helps, but doesn't address the fundamental issue of processing unnecessary data. Breaking the transformation job into smaller jobs may add overhead and complexity without a clear performance benefit. Partitioning is a database term and clustering is snowflake, the question relates to snowflake.

by Nat at Sep 12, 2025, 12:06 PM

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