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Azure Data Engineer Associate DP-200 自分の幸せは自分で作るものだと思われます。

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Microsoft DP-200模擬練習 - 君の夢は1歩更に近くなります。

MicrosoftのDP-200模擬練習の認定試験に合格すれば、就職機会が多くなります。この試験に合格すれば君の専門知識がとても強いを証明し得ます。MicrosoftのDP-200模擬練習の認定試験は君の実力を考察するテストでございます。

NewValidDumpsのMicrosoftのDP-200模擬練習「Implementing an Azure Data Solution」の試験問題と解答は試験準備のパイオニアですから。ITテストと認定は当面の競争が激しい世界でこれまで以上に重要になりました。

DP-200 PDF DEMO:

QUESTION NO: 1
You have a new Azure Data Factory environment.
You need to periodically analyze pipeline executions from the last 60 days to identify trends in execution durations. The solution must use Azure Log Analytics to query the data and create charts.
Which diagnostic settings should you configure in Data Factory? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation
Log type: PipelineRuns
A pipeline run in Azure Data Factory defines an instance of a pipeline execution.
Storage location: An Azure Storage account
Data Factory stores pipeline-run data for only 45 days. Use Monitor if you want to keep that data for a longer time. With Monitor, you can route diagnostic logs for analysis. You can also keep them in a storage account so that you have factory information for your chosen duration.
Save your diagnostic logs to a storage account for auditing or manual inspection. You can use the diagnostic settings to specify the retention time in days.
References:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor

QUESTION NO: 2
What should you include in the Data Factory pipeline for Race Central?
A. a delete activity that has logging enabled
B. a copy activity that uses a stored procedure as a source
C. a copy activity that contains schema mappings
D. a filter activity that has a condition
Answer: C
Explanation
Scenario:
An Azure Data Factory pipeline must be used to move data from Cosmos DB to SQL Database for Race
Central. If the data load takes longer than 20 minutes, configuration changes must be made to Data
Factory.
The telemetry data is sent to a MongoDB database. A custom application then moves the data to databases in SQL Server 2017. The telemetry data in MongoDB has more than 500 attributes. The application changes the attribute names when the data is moved to SQL Server 2017.
You can copy data to or from Azure Cosmos DB (SQL API) by using Azure Data Factory pipeline.
Column mapping applies when copying data from source to sink. By default, copy activity map source data to sink by column names. You can specify explicit mapping to customize the column mapping based on your need. More specifically, copy activity:
Read the data from source and determine the source schema
* Use default column mapping to map columns by name, or apply explicit column mapping if specified.
* Write the data to sink
* Write the data to sink
References:
https://docs.microsoft.com/en-us/azure/data-factory/copy-activity-schema-and-type-mapping

QUESTION NO: 3
You are developing a solution that will stream to Azure Stream Analytics. The solution will have both streaming data and reference data.
Which input type should you use for the reference data?
A. Azure Event Hubs
B. Azure Cosmos DB
C. Azure Blob storage
D. Azure IoT Hub
Answer: C
Explanation
Stream Analytics supports Azure Blob storage and Azure SQL Database as the storage layer for
Reference Data.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-use-reference-data

QUESTION NO: 4
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10277521
You need to replicate db1 to a new Azure SQL server named REPL10277521 in the Central Canada region.
To complete this task, sign in to the Azure portal.
NOTE: This task might take several minutes to complete. You can perform other tasks while the task completes or ends this section of the exam.
To complete this task, sign in to the Azure portal.
Answer:
See the explanation below.
Explanation
1. In the Azure portal, browse to the database that you want to set up for geo-replication.
2. On the SQL database page, select geo-replication, and then select the region to create the secondary database.
3. Select or configure the server and for the secondary database.
Region: Central Canada
Target server: REPL10277521
4. Click Create to add the secondary.
5. The secondary database is created and the seeding process begins.
6. When the seeding process is complete, the secondary database displays its status.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-active-geo-replication-portal

QUESTION NO: 5
You need to ensure that phone-based polling data can be analyzed in the PollingData database
.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer are and arrange them in the correct order.
Answer:
Explanation
Scenario:
All deployments must be performed by using Azure DevOps. Deployments must use templates used in multiple environments No credentials or secrets should be used during deployments

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Updated: Oct 26, 2020

DP-200模擬練習 - DP-200日本語版参考資料、Implementing An Azure Data Solution

PDF問題と解答

試験コード:DP-200
試験名称:Implementing an Azure Data Solution
最近更新時間:2020-10-29
問題と解答:全 206
Microsoft DP-200 練習問題集

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模擬試験

試験コード:DP-200
試験名称:Implementing an Azure Data Solution
最近更新時間:2020-10-29
問題と解答:全 206
Microsoft DP-200 日本語講座

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オンライン版

試験コード:DP-200
試験名称:Implementing an Azure Data Solution
最近更新時間:2020-10-29
問題と解答:全 206
Microsoft DP-200 資格トレーリング

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DP-200 合格体験談