DP-900 · Question #80
DP-900 Question #80: Real Exam Question with Answer & Explanation
The correct answer is A: 2, 3, 4. Given statements are for the different services for the Azure data warehouse and data workloads. Except for statement 1, all other statements are true only. But Azure Analytics services provide enterprise-level data models in the cloud. It is used to combine data from different d
Question
Read the following statements: (1) Azure Analysis services are used for transactional workloads. (2) Azure Databricks is a collaborative analytics platform based on Apache Spark. (3) Azure Data Factory orchestrates data ingestion workflows. (4) Azure Synapse is an analytics service used to bring Big Data analytics and Enterprise Data Warehousing together. Which of the following statements are true? Choose the correct option.
Options
- A2, 3, 4
- B1, 2, 3
- C1, 3, 4
- D1, 2, 4
- E1, 2, 3, 4
Explanation
Given statements are for the different services for the Azure data warehouse and data workloads. Except for statement 1, all other statements are true only. But Azure Analytics services provide enterprise-level data models in the cloud. It is used to combine data from different data sources, define the metrics, and secure all the data in a single, trusted tabular semantic data model. Option A is correct. Statements 2, 3, and 4 are true while statements 1 is wrong. Option B is incorrect. Statement 1 is wrong here, and statement 4 that is true is missing. Option C is incorrect. Statement 1 is wrong here, and statement 2 that is true is missing. Option D is incorrect. Statement 1 is wrong here, and statement 3 that is true is missing. Option E is incorrect. All 4 statements are not true; statement 1 is wrong. https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-overview https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data- warehouse-overview-what-is https://docs.microsoft.com/en-us/azure/databricks/scenarios/what-is-azure-databricks https://docs.microsoft.com/en-us/azure/data-factory/introduction
Community Discussion
No community discussion yet for this question.