Exam DP-203 topic 1 question 65 discussion

I think we had this question in the previous pages and the correct answer was set as " compress the files"

"ensure that each row is less than 1 MB" and the condition for polybase is <1M, whatever method you used

correct answer is B, it's the same question 24 topic 1

Answer: B. No While ensuring that each row is less than 1 MB may help in some cases, it does not fully address the performance challenges of copying data efficiently into Azure Synapse Analytics.

Réduire la taille des lignes à moins de 1 Mo ne garantit pas nécessairement une copie plus rapide des données vers Azure Synapse Analytics. Il serait plus efficace d'utiliser des techniques d'optimisation de transfert de données, comme la compression des fichiers ou l'utilisation de formats de fichiers optimisés pour les performances, tels que Parquet ou ORC.

If you modify the files to ensure that each row is less than 1 MB, you might end up truncating or losing data from those rows. To achieve faster data copying, consider alternative approaches such as: Compression: Compress the files before transferring them to Azure Synapse Analytics. This can reduce the overall size of the data and improve transfer speed. Parallelization: Split the data into smaller chunks and copy them in parallel to take advantage of multiple resources. Optimized Data Types: Ensure that numerical values are stored using appropriate data types (e.g., integers, floats) to minimize storage space. Batch Processing: Process the data in batches rather than row by row to optimize data transfer. The question should be read carefully and attentively. You need to prepare the files to ensure that the data copies QUICKLY. Nobody asks if this improve... I agree with rocky48. You need do more to copy the data QUICKLY. So, the answer is B (NO)

Given the large size of the table, I will utilize PolyBase for data transfer. Additionally, considering PolyBase's constraint that it cannot load rows exceeding 1MB in size, I will compress rows to ensure compliance with this requirement, thereby making PolyBase the optimal choice for data transfer. => Option A: yes

Shouldn't this be "B: No". Where does the question ask about Polybase? Modifying the rows of data could affect the integrity of the data

No, this solution does not meet the goal. While modifying the files to ensure that each row is less than 1 MB might help with individual row sizes, it won’t necessarily improve the overall data transfer speed. The total size of the files in the storage account is still 100 GB, and copying large volumes of data can be time-consuming regardless of individual row sizes. To optimize data transfer speed, consider other strategies such as parallelizing the data transfer, optimizing network bandwidth, or using appropriate data loading techniques in Azure Synapse Analytics.

No, this solution does not meet the goal. While modifying the files to ensure that each row is less than 1 MB might help with individual row sizes, it won’t necessarily improve the overall data transfer speed. The total size of the files in the storage account is still 100 GB, and copying large volumes of data can be time-consuming regardless of individual row sizes. To optimize data transfer speed, consider other strategies such as parallelizing the data transfer, optimizing network bandwidth, or using appropriate data loading techniques in Azure Synapse Analytics.

No, this solution does not meet the goal. The files contain rows of text and numerical values, and 75% of the rows contain description data that has an average length of 1.1 MB. If you modify the files to ensure that each row is less than 1 MB, you may end up splitting the description data into multiple rows, which could affect the integrity of the data

**Variations** Solution: You convert the files to compressed delimited text files. Does this meet the goal? **YES** Solution: You copy the files to a table that has a columnstore index. Does this meet the goal? **NO** Solution: You modify the files to ensure that each row is more than 1 MB. Does this meet the goal? **NO** Solution: You modify the files to ensure that each row is less than 1 MB. Does this meet the goal? **YES**

PolyBase enables Azure Synapse Analytics to import and export data from Azure Data Lake Store, and from Azure Blob Storage. And it supports row sizes up to 1MB. https://learn.microsoft.com/en-us/sql/relational-databases/polybase/polybase-guide?view=sql-server-ver16#:~:text=Azure%20integration,and%20from%20Azure%20Blob%20Storage. https://learn.microsoft.com/en-us/sql/relational-databases/polybase/polybase-versioned-feature-summary?view=sql-server-ver16

A is correct

Yes, with less of 1Mb file we increase performance.

i thought that polybase just query the tables and dont do any process of ETL or ELT.

"You modify the files to ensure that each row is more than 1 MB" and the answer was "No". This particular question asks if "You modify the files to ensure that each row is less than 1 MB", and the answer given is "Yes".