70-475 Real Exam Questions

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. Your company has multiple databases that contain millions of sales transactions. You plan to implement a data mining solution to identity purchasing fraud. You need to design a solution that mines 10 terabytes (TB) of sales data. The solution must meet the following requirements: - Run the analysis to identify fraud once per week. - Continue to receive new sales transactions while the analysis runs. - Be able to stop computing services when the analysis is NOT running. Solution: You create a Microsoft Azure Data Lake job. Does this meet the goal?

You have an Apache Storm cluster. The cluster will ingest data from a Microsoft Azure event hub. The event hub has the characteristics described in the following table. You are designing the Storm application topology. You need to ingest data from all of the partitions. The solution must maximize the throughput of the data ingestion. Which setting should you use?

You have a Microsoft Azure Data Factory pipeline. You discover that the pipeline fails to execute because data is missing. You need to rerun the failure in the pipeline. Which cmdlet should you use?

You have a Microsoft Azure Machine Learning Solution that contains several Azure Data Factory pipeline jobs. You discover that the jobs for a dataset named CustomerSalesData fails. You resolve the issue that caused the job to fail. You need to rerun the slices for CustomerSalesData. What should you do?

You are creating a Data Factory workflow. The workflow must run a stored procedure from a SQL database, perform a Hive query, and copy data from an on-premises SQL database into an Azure SQL database. These steps must be managed and performed as an atomic unit. You need to configure the workflow. Which Data Factory entity should you use?