If you to think logically, Sentence one is yes - You can reduce transfer sensitive data with transformations on data source. Sentence two is No - ELT use the compute resource from destination system. And for last Yes. ELT minimizes time with transformations are going realizaded on target data destination systems.

Y/N/Y ETL: ...data transformation that takes place usually involves various operations, such as filtering... ELT: ...This approach skips the data copy step present in ETL, which can be a time consuming operation for large data sets... Load and Trasformation are on the same target (https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl)

The answer for 2 is NO. The reason being, it says source and destination, those are the keywords. In ELT, the source for transformation is inside DW itself and the destination is also inside DW. So, the compute is same. Answer is NO. The answer for 1 - Yes, as transformation allows fileting data before you put sensitive information in a data warehouse or any destination. This could be really beneficial in for example, banking sector. The answer for 3 - Yes, and the reason is in ETL processes, one of the bottleneck was staging server compute which took a lot of time. Whereas in ELT process, the transformation takes inside DW, which supports massive parallel computing and it removes that bottleneck of slow compute.

Sì No Sì

I think No , No , Yes : for the first sentence , i found it's crazy to say ETL can reduce transfer sensitive : it's a not a property of ETL , you should define a solution by yourself

in exam 16/06/2023

Yes No Yes

Instead of using a separate transformation engine, the processing capabilities of the target data store are used to transform data. https://learn.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl the answer : NO / NO / YES

yes, no, yes

ETL can redact and remove sensitive information before putting it into the data warehouse or cloud server. so i think no1 is yes

https://www.striim.com/blog/etl-vs-elt-differences/

https://aws.amazon.com/pt/what-is/etl/

it should be NO,NO,Yes

Yes, No, Yes

no yes yes

De acordo com o BING AÍ, a única resposta correta é: “Extrair, carregar e transformar (ELT) minimiza o tempo necessário para copiar grandes volumes de dados para os sistemas de destino”.

It’s N,Y,Y. N - ETL cannot reduce transfer sensitive data. It transfers across multiple systems exposing sensitive data. Y - ELT uses independent compute system from source as processing is done in Target. Y - ELT minimizes copying over multiple systems.