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DP-203関連資格試験対応、DP-203基礎訓練

ちなみに、PassTest DP-203の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1_Gvzic8le4vnzUMKDLXb8VoHpNK5ipR5

Microsoft DP-203認定試験の難しさで近年にほとんどの受験生は資格認定試験に合格しなっかたと良く知られます。だから、我々社の有効な試験問題集は長年にわたりMicrosoft DP-203認定資格試験問題集作成に取り組んだIT専門家によって書いてます。実際の試験に表示される質問と正確な解答はあなたのMicrosoft DP-203認定資格試験合格を手伝ってあげます。

Microsoft DP-203（Microsoft Azureのデータエンジニアリング）認定試験は、Azureのデータを使用しているデータエンジニアのスキルと知識を検証するために設計された認定プログラムです。認定試験では、データストレージ、処理、分析など、Azureデータサービスの操作経験がある個人を対象としています。試験を通じて、候補者はAzureのデータ処理システムの設計、構築、および維持に関する専門知識を実証できます。

>> DP-203関連資格試験対応 <<

MicrosoftのDP-203試験の勉強の資料

PassTestのDP-203無料デモの合格率に関する記録で実証されているように、Microsoft合格率は設立当初から98％〜99％の歴史的記録を維持しています。現時点では、DP-203テストトレントの合格率は他の試験テストの合格率と比較して最高と言えますが、着実に進歩しているという真実を知っているため、専門家全員が現在の結果に満足することはありません DP-203準備資料は、Data Engineering on Microsoft AzureのDP-203試験問題作成の分野で永久に勝つことができますか。

Microsoft DP-203試験は、Azureプラットフォームでデータエンジニアリングソリューションを実装するハンズオン経験を持つ候補者を必要とする包括的な試験です。この試験は、Azureサービスの理解があり、データエンジニアリングの概念に精通している個人を対象としています。この試験は、Azureプラットフォーム上でデータパイプライン、データウェアハウジング、およびデータ分析ソリューションを構築する専門家であるデータエンジニア、データアーキテクト、および開発者を対象としています。

Microsoft Data Engineering on Microsoft Azure 認定 DP-203 試験問題 (Q25-Q30):

質問 # 25
You are building an Azure Synapse Analytics dedicated SQL pool that will contain a fact table for transactions from the first half of the year 2020.
You need to ensure that the table meets the following requirements:
Minimizes the processing time to delete data that is older than 10 years Minimizes the I/O for queries that use year-to-date values How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解：

解説：

Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-partition-function-transact-sql

質問 # 26
You have an Azure subscription that contains an Azure Synapse Analytics dedicated SQL pool. You plan to deploy a solution that will analyze sales data and include the following:
* A table named Country that will contain 195 rows
* A table named Sales that will contain 100 million rows
* A query to identify total sales by country and customer from the past 30 days You need to create the tables. The solution must maximize query performance.
How should you complete the script? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解：

解説：

質問 # 27
You have an Azure data factory.
You need to ensure that pipeline-run data is retained for 120 days. The solution must ensure that you can query the data by using the Kusto query language.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

正解：

解説：

Explanation:

Step 1: Create an Azure Storage account that has a lifecycle policy
To automate common data management tasks, Microsoft created a solution based on Azure Data Factory. The service, Data Lifecycle Management, makes frequently accessed data available and archives or purges other data according to retention policies. Teams across the company use the service to reduce storage costs, improve app performance, and comply with data retention policies.
Step 2: Create a Log Analytics workspace that has Data Retention set to 120 days.
Data Factory stores pipeline-run data for only 45 days. Use Azure Monitor if you want to keep that data for a longer time. With Monitor, you can route diagnostic logs for analysis to multiple different targets, such as a Storage Account: 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.
Step 3: From Azure Portal, add a diagnostic setting.
Step 4: Send the data to a log Analytics workspace,
Event Hub: A pipeline that transfers events from services to Azure Data Explorer.
Keeping Azure Data Factory metrics and pipeline-run data.
Configure diagnostic settings and workspace.
Create or add diagnostic settings for your data factory.
* In the portal, go to Monitor. Select Settings > Diagnostic settings.
* Select the data factory for which you want to set a diagnostic setting.
* If no settings exist on the selected data factory, you're prompted to create a setting. Select Turn on diagnostics.
* Give your setting a name, select Send to Log Analytics, and then select a workspace from Log Analytics Workspace.
* Select Save.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor

質問 # 28
You have a data model that you plan to implement in a data warehouse in Azure Synapse Analytics as shown in the following exhibit.

All the dimension tables will be less than 2 GB after compression, and the fact table will be approximately 6 TB.
Which type of table should you use for each table? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation

質問 # 29
You have an Azure data factory.
You execute a pipeline that contains an activity named Activity1. Activity1 produces the following output.

For each of the following statements select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation

質問 # 30
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DP-203基礎訓練: https://www.passtest.jp/Microsoft/DP-203-shiken.html

ちなみに、PassTest DP-203の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1_Gvzic8le4vnzUMKDLXb8VoHpNK5ipR5

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