Suggested Answer:D🗳️
Azure Synapse Analytics is a cloud-based enterprise data warehouse that leverages massively parallel processing (MPP) to quickly run complex queries across petabytes of data. Use SQL Data Warehouse as a key component of a big data solution. You can access Azure Synapse Analytics (SQL DW) from Databricks using the SQL Data Warehouse connector (referred to as the SQL DW connector), a data source implementation for Apache Spark that uses Azure Blob Storage, and PolyBase in SQL DW to transfer large volumes of data efficiently between a Databricks cluster and a SQL DW instance. Scenario: ADatum identifies the following requirements for the Health Insights application: ✑ The new Health Insights application must be built on a massively parallel processing (MPP) architecture that will support the high performance of joins on large fact tables Reference: https://docs.databricks.com/data/data-sources/azure/sql-data-warehouse.html
True
Since that option is not available, next best option would be Azure Databricks which can access Azure Synapse Anlytics through Azure Synapse Connector I guess
isn't the answer B - ADF can be used to make data available into SQLDW as per requirement"The data from Health Interface and Health Review must be available in Health Insights within 15 minutes of being committed."
"Minimize the number of services required to perform data processing, development, scheduling, monitoring, and the operationalizing of pipelines" - ADF best fits this requirement so my answer is B
From https://docs.databricks.com/data/data-sources/azure/synapse-analytics.html:
"You can access Azure Synapse from Databricks using the Azure Synapse connector"
Databricks it is then
Still not convinced why ADF is not the answer instead of ADB? I think both can be used as part of the solution. -- Data is ingested from Health Interface which should support scalable batch processing (ADB) and the data should be transferred to the Insight in 15 minutes intervals (ADF). So either both answers are correct or question is faulty and has been changed by now.
From "The data from Health Interface and Health Review must be available in Health Insights within 15 minutes of being committed." we have two options: Azure Data Factory and Azure Databricks.
Then we need to be able to analyze events, so Azure Databricks is the answer.
Answer B?
As described by Health Insights Requirements: the solution shall provide a data warehouse and the ingestion into the data warehouse. ADF might be the solution for the ingestion past.
massively parallel processing (MPP) architecture -> SQL DW but its not part of the answer options here
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