You have the following Azure Data Factory pipelines:Ingest Data from System1Ingest Data from System2Populate DimensionsPopulate FactsIngest Data from System1 and Ingest Data from System2 have no dependencies. Populate Dimensions must execute after Ingest Data from System1 and Ingest Data from System2. Populate Facts must execute after Populate Dimensions pipeline. All the pipelines must execute every eight hours.What should you do to schedule the pipelines for execution?

Create a patient pipeline that contains the four pipelines and use a schedule trigger.

Add an event trigger to all four pipelines.

Add a schedule trigger to all four pipelines.

Create a patient pipeline that contains the four pipelines and use a schedule trigger.

Create a patient pipeline that contains the four pipelines and use an event trigger.

You are monitoring an Azure Stream Analytics job by using metrics in Azure. You discover that during the last 12 hours, the average watermark delay is consistently greater than the configured late arrival tolerance. What is a possible cause of this behavior?

The job lacks the resources to process the volume of incoming data.

Events whose application timestamp is earlier than their arrival time by more than five minutes arrive as inputs.

There are errors in the input data.

The late arrival policy causes events to be dropped.

The job lacks the resources to process the volume of incoming data.

You are designing an Azure Databricks cluster that runs user-defined local processes. You need to recommend a cluster configuration that meets the following requirements:Minimize query latency.Maximize the number of users that can run queries on the cluster at the same time. Reduce overall costs without compromising other requirements. Which cluster type should you recommend?

High Concurrency with Autoscaling

High Concurrency with Auto Termination

You are designing a solution that will copy Parquet files stored in an Azure Blob storage account to an Azure Data Lake Storage Gen2 account. The data will be loaded daily to the data lake and will use a folder structure of {Year}/{Month}/{Day}/. You need to design a daily Azure Data Factory data load to minimize the data transfer between the two accounts. Which two configurations should you include in the design? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point

Specify a file naming pattern for the destination.

Filter by the last modified date of the source files.

Specify a file naming pattern for the destination.

Delete the files in the destination before loading the data.

Filter by the last modified date of the source files.

Delete the source files after they are copied.

Microsoft DP-203 Practice Test 4 - Free Online Exam Questions 121-160

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 are designing an Azure Stream Analytics solution that will analyze Twitter data. You need to count the tweets in each 10-second window. The solution must ensure that each tweet is counted only once. Solution: You use a tumbling window, and you set the window size to 10 seconds. Does this meet the goal?

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Microsoft DP-203 Practice Test 4

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Microsoft DP-203 Practice Tests

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