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DP-203 Exam Dumps - Data Engineering on Microsoft Azure

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DP-203 Questions and Answers

Question # 1

You are designing a financial transactions table in an Azure Synapse Analytics dedicated SQL pool. The table will have a clustered columnstore index and will include the following columns:

  • TransactionType: 40 million rows per transaction type
  • CustomerSegment: 4 million per customer segment
  • TransactionMonth: 65 million rows per month
  • AccountType: 500 million per account type

You have the following query requirements:

  • Analysts will most commonly analyze transactions for a given month.
  • Transactions analysis will typically summarize transactions by transaction type, customer segment, and/or account type

You need to recommend a partition strategy for the table to minimize query times.

On which column should you recommend partitioning the table?

A.

CustomerSegment

B.

AccountType

C.

TransactionType

D.

TransactionMonth

Question # 2

You have an Azure Factory instance named DF1 that contains a pipeline named PL1.PL1 includes a tumbling window trigger.

You create five clones of PL1. You configure each clone pipeline to use a different data source.

You need to ensure that the execution schedules of the clone pipeline match the execution schedule of PL1.

What should you do?

A.

Add a new trigger to each cloned pipeline

B.

Associate each cloned pipeline to an existing trigger.

C.

Create a tumbling window trigger dependency for the trigger of PL1.

D.

Modify the Concurrency setting of each pipeline.

Question # 3

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?

A.

Yes

B.

No