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Information about Microsoft DP-300 Exam

Vendor: Microsoft

Exam Code: DP-300

Exam Name: Administering Relational Databases on Microsoft Azure

Number of Questions: 139

Certification Name: Azure Database Administrator Associate

Exam Language: English

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Question No. 1

You plan to perform batch processing in Azure Databricks once daily.

Which type of Databricks cluster should you use?

A. automatedB. interactiveC. High Concurrency

Answer: A

Question No. 2

Note: This question is part of a series of questions that present the same scenario. Each question inthe series contains a unique solution that might meet the stated goals. Some question sets mighthave 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, thesequestions will not appear in the review screen.

You have an Azure Data Lake Storage account that contains a staging zone.

You need to design a daily process to ingest incremental data from the staging zone, transform thedata by executing an R script, and then insert the transformed data into a data warehouse in AzureSynapse Analytics.

Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes anAzure Databricks notebook, and then inserts the data into the data warehouse.

Does this meet the goal?

A. YesB. No

Answer: B

Question No. 3

Note: This question is part of a series of questions that present the same scenario. Each question inthe series contains a unique solution that might meet the stated goals. Some question sets mighthave 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, thesequestions will not appear in the review screen.

You have an Azure Data Lake Storage account that contains a staging zone.

You need to design a daily process to ingest incremental data from the staging zone, transform thedata by executing an R script, and then insert the transformed data into a data warehouse in AzureSynapse Analytics.

Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that copies the datato a staging table in the data warehouse, and then uses a stored procedure to execute the R script.

Does this meet the goal?

A. YesB. No

Answer: A

Question No. 4

Note: This question is part of a series of questions that present the same scenario. Each question inthe series contains a unique solution that might meet the stated goals. Some question sets mighthave 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, thesequestions will not appear in the review screen.

You have an Azure Data Lake Storage account that contains a staging zone.

You need to design a daily process to ingest incremental data from the staging zone, transform thedata by executing an R script, and then insert the transformed data into a data warehouse in AzureSynapse Analytics.

Solution: You schedule an Azure Databricks job that executes an R notebook, and then inserts thedata into the data warehouse.

Does this meet the goal?

A. YesB. No

Answer: B

Question No. 5

Note: This question is part of a series of questions that present the same scenario. Each question inthe series contains a unique solution that might meet the stated goals. Some question sets mighthave 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, thesequestions will not appear in the review screen.

You have an Azure Data Lake Storage account that contains a staging zone.

You need to design a daily process to ingest incremental data from the staging zone, transform thedata by executing an R script, and then insert the transformed data into a data warehouse in AzureSynapse Analytics.

Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executesmapping data flow, and then inserts the data into the data warehouse.

Does this meet the goal?

A. YesB. No

Answer: B

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