DP-200 Practice Test

DP-200 Practice Test practice questions, page 14 of 15, with answer review and explanations.

Question 66

You develop data engineering solutions for a company. A project requires analysis of real-time Twitter feeds. Posts that contain specific keywords must be stored and processed on Microsoft Azure and then displayed by using Microsoft Power BI. You need to implement the solution. Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Select and Place:

Question 67

Your company manages on-premises Microsoft SQL Server pipelines by using a custom solution. The data engineering team must implement a process to pull data from SQL Server and migrate it to Azure Blob storage. The process must orchestrate and manage the data lifecycle. You need to configure Azure Data Factory to connect to the on-premises SQL Server database. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Select and Place:

Question 68

You are designing a new Lambda architecture on Microsoft Azure. The real-time processing layer must meet the following requirements: Ingestion: ✑ Receive millions of events per second ✑ Act as a fully managed Platform-as-a-Service (PaaS) solution ✑ Integrate with Azure Functions Stream processing: ✑ Process on a per-job basis ✑ Provide seamless connectivity with Azure services ✑ Use a SQL-based query language Analytical data store: ✑ Act as a managed service ✑ Use a document store ✑ Provide data encryption at rest You need to identify the correct technologies to build the Lambda architecture using minimal effort. Which technologies should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

Question 69

You develop data engineering solutions for a company. You need to ingest and visualize real-time Twitter data by using Microsoft Azure. Which three technologies should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

  1. Event Grid topic
  2. Azure Stream Analytics Job that queries Twitter data from an Event Hub
  3. Azure Stream Analytics Job that queries Twitter data from an Event Grid
  4. Logic App that sends Twitter posts which have target keywords to Azure
  5. Event Grid subscription
  6. Event Hub instance

Question 70

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. You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads: ✑ A workload for data engineers who will use Python and SQL ✑ A workload for jobs that will run notebooks that use Python, Scala, and SQL ✑ A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments: ✑ The data engineers must share a cluster. ✑ The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster. ✑ All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists. You need to create the Databricks clusters for the workloads. Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a Standard cluster for the jobs. Does this meet the goal?

  1. Yes
  2. No