Exam Certified Data Engineer Associate topic 1 question 28 discussion

A. Gold tables are more likely to contain aggregations than Silver tables. In some data processing pipelines, especially those following a typical "Bronze-Silver-Gold" data lakehouse architecture, Silver tables are often considered a more refined version of the raw or Bronze data. Silver tables may include data cleansing, schema enforcement, and some initial transformations. Gold tables, on the other hand, typically represent a stage where data is further enriched, aggregated, and processed to provide valuable insights for analytical purposes. This could indeed involve more aggregations compared to Silver tables.

In the medallion architecture commonly used in Delta Lake and Databricks, the relationship between Gold and Silver tables is as follows: Bronze Tables: Raw, unprocessed data directly ingested from the source. Silver Tables: Cleaned and enriched data, often with transformations applied for a more refined view. Gold Tables: Highly refined data, typically containing business-level aggregations, metrics, and summaries that are ready for analytics or reporting.

Gold data is often refined and aggregated.

A. Gold tables are more likely to contain aggregations than Silver tables. In the Delta Lake architecture, Silver tables typically contain cleaned and enriched data that has been transformed from raw data (Bronze tables). Gold tables, on the other hand, are often used for business-level aggregates, reporting, and analytics. They are built on top of Silver tables and provide a more refined and aggregated view of the data, making them more likely to contain aggregations.

In the typical data pipeline architecture, Gold tables are often the final layer and contain aggregated, high-value insights that are ready for reporting and analysis. Silver tables usually contain more detailed and refined data that is processed from the raw or Bronze tables but may not yet be aggregated.

A This gold data is often highly refined and aggregated, containing data that powers analytics, machine learning, and production applications. While all tables in the lakehouse should serve an important purpose, gold tables represent data that has been transformed into knowledge, rather than just information. Analysts largely rely on gold tables for their core responsibilities, and data shared with a customer would rarely be stored outside this level.

Correct answer is B!

Correct answer is B. I saw this from the Databricks practice test. It's a little blurry, but this is the correct answer.

In some data processing pipelines, particularly those following a "Bronze-Silver-Gold" data lakehouse architecture, Silver tables are indeed considered a more refined version of raw or Bronze data. Gold tables, which represent the final stage of data processing, typically contain highly refined, aggregated, and ready-to-consume data. Therefore, it's common for Gold tables to contain aggregations, as they often represent the final, summarized, and aggregated view of the data. On the other hand, Silver tables may contain partially aggregated or cleansed data but are not typically the final destination for aggregated data. "Gold tables are more likely to contain aggregations than Silver tables" is accurate, making option A a valid choice.

A; row data = bronze data > silver data > golden data C is so opposite and wrong

Raw Data > Bronze Data > Silver Data > Golden Data

correct is A

Correct is A

Correct: A

To me it seems A and E is equally correct. Truthfull is not very defined in the question. But Gold layer typically have more rules and transformations in order to be consumed by business and reports. So It could be intepreted as more "truthfull". Or am I wrong here?

B 2 Type of Tables in Delta Lake data lake architecture Gold tables are the most refined and valuable tables in the data lake, while Silver tables are less refined and less valuable. Gold tables are typically used for downstream analysis and reporting, while Silver tables are typically used for data exploration and experimentation. Gold tables typically contain the most refined, high-quality, and valuable data in an organization's data architecture. They often represent the final output or result of data processing pipelines, where data has undergone extensive cleansing, transformation, and aggregation. Gold tables are typically used for critical business analysis, reporting, and decision-making processes. Option A: Gold tables are not necessarily more likely to contain aggregations than Silver tables. Option C: Gold tables are more likely to contain a more refined view of data than Silver tables. Option D: Gold tables are not necessarily more likely to contain more data than Silver tables.

The correct answer is B. Gold tables are typically considered to be the most valuable and trusted data assets in an organization. They represent the final, refined view of the data after all cleaning, transformations, and enrichments have been performed. Silver tables are the intermediate tables that feed into the Gold tables, and are typically used to perform data cleansing, filtering, and enrichment before the data is promoted to Gold.