MICROSOFT DP-203 PRACTICE TEST SOFTWARE FOR DESKTOP

Microsoft DP-203 Practice Test Software for Desktop

Microsoft DP-203 Practice Test Software for Desktop

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The DP-203 exam covers a wide range of topics related to data engineering on Azure, including data storage solutions, data processing, data integration, data security, and data monitoring and optimization. Candidates need to demonstrate their understanding of various Azure services and tools for data processing, such as Azure Data Factory, Azure Databricks, Azure HDInsight, and Azure Synapse Analytics.

Microsoft DP-203: Data Engineering on Microsoft Azure Exam is a valuable certification for professionals who want to specialize in data engineering on Azure. DP-203 exam tests the candidate's expertise in designing, implementing, and maintaining data processing solutions on Azure. It is an opportunity to enhance one's career prospects and showcase one's skills in the field of data engineering.

Microsoft DP-203 (Data Engineering on Microsoft Azure) Exam is a certification exam designed for individuals who want to demonstrate their knowledge and skills in data engineering on the Microsoft Azure platform. DP-203 exam is an excellent opportunity for data engineers who want to showcase their expertise in designing and implementing data solutions using Azure services.

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q90-Q95):

NEW QUESTION # 90
The storage account container view is shown in the Refdata exhibit. (Click the Refdata tab.)
You need to configure the Stream Analytics job to pick up the new reference data.
What should you configure?
To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 91
You have an Azure data solution that contains an enterprise data warehouse in Azure Synapse Analytics named DW1.
Several users execute ad hoc queries to DW1 concurrently.
You regularly perform automated data loads to DW1.
You need to ensure that the automated data loads have enough memory available to complete quickly and successfully when the adhoc queries run.
What should you do?

  • A. Hash distribute the large fact tables in DW1 before performing the automated data loads.
  • B. Assign a larger resource class to the automated data load queries.
  • C. Assign a smaller resource class to the automated data load queries.
  • D. Create sampled statistics for every column in each table of DW1.

Answer: B


NEW QUESTION # 92
You have an Azure Synapse Analytics dedicated SQL pool named Pool1 and an Azure Data Lake Storage Gen2 account named Account 1.
You plan to access the files in Accoun1l by using an external table.
You need to create a data source in Pool1 that you can reference when you create the external table.
How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
NOTE Each coned selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 93
You are designing a partition strategy for a fact table in an Azure Synapse Analytics dedicated SQL pool. The table has the following specifications:
* Contain sales data for 20,000 products.
* Use hash distribution on a column named ProduclID,
* Contain 2.4 billion records for the years 20l9 and 2020.
Which number of partition ranges provides optimal compression and performance of the clustered columnstore index?

  • A. 0
  • B. 2,400
  • C. 1
  • D. 2

Answer: C

Explanation:
Each partition should have around 1 millions records. Dedication SQL pools already have 60 partitions.
We have the formula: Records/(Partitions*60)= 1 million
Partitions= Records/(1 million * 60)
Partitions= 2.4 x 1,000,000,000/(1,000,000 * 60) = 40
Note: Having too many partitions can reduce the effectiveness of clustered columnstore indexes if each partition has fewer than 1 million rows. Dedicated SQL pools automatically partition your data into 60 databases. So, if you create a table with 100 partitions, the result will be 6000 partitions.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/best-practices-dedicated-sql-pool


NEW QUESTION # 94
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 have an Azure Storage account that contains 100 GB of files. The files contain rows of text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.
You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.
You need to prepare the files to ensure that the data copies quickly.
Solution: You copy the files to a table that has a columnstore index.
Does this meet the goal?

  • A. No
  • B. Yes

Answer: A

Explanation:
Explanation
Instead convert the files to compressed delimited text files.
Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data


NEW QUESTION # 95
......

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