ここで成功へのショートカットを教えてあげます。即ちMicrosoftの070-776学習範囲認定試験に受かることです。この認証を持っていたら、あなたは、高レベルのホワイトカラーの生活を送ることができます。 努力すれば報われますなので、Microsoft　070-776学習範囲資格認定を取得して自分の生活状況を改善できます。IT職員のあなたは毎月毎月のあまり少ない給料を持っていますが、暇の時間でひたすら楽しむんでいいですか。 購入する人々が大変多いですから、あなたもミスしないで速くショッピングカートに入れましょう。

Microsoft Azure SQL Data Warehous 070-776 NewValidDumpsを選ぶのは成功を選ぶのに等しいです。

NewValidDumpsが提供したMicrosoftの070-776 - Engineering Data with Microsoft Cloud Services学習範囲トレーニング資料を利用したら、Microsoftの070-776 - Engineering Data with Microsoft Cloud Services学習範囲認定試験に受かることはたやすくなります。 購入した前の無料の試み、購入するときのお支払いへの保障、購入した一年間の無料更新Microsoftの070-776 模擬体験試験に失敗した全額での返金…これらは我々のお客様への承諾です。常々、時間とお金ばかり効果がないです。

NewValidDumpsのMicrosoftの070-776学習範囲試験トレーニング資料はインターネットでの全てのトレーニング資料のリーダーです。NewValidDumpsはあなたが首尾よく試験に合格することを助けるだけでなく、あなたの知識と技能を向上させることもできます。あなたが自分のキャリアでの異なる条件で自身の利点を発揮することを助けられます。

その中で、Microsoft 070-776学習範囲認定試験は最も重要な一つです。

我々社のチームは顧客のすべてのために、改革政策に伴って最新版の信頼できるMicrosoftの070-776学習範囲をリリースされて喜んでいます。我々社は070-776学習範囲問題集のクオリティーをずっと信じられますから、試験に失敗するとの全額返金を承諾します。また、受験生の皆様は一発的に試験に合格できると信じます。もし運が良くないとき、失敗したら、お金を返してあなたの経済損失を減らします。

まだ何を待っていますか。早速買いに行きましょう。

070-776 PDF DEMO:

QUESTION NO: 1
You have a Microsoft Azure Data Lake Analytics service.
You plan to configure diagnostic logging.
You need to use Microsoft Operations Management Suite (OMS) to monitor the IP addresses that are used to access the Data Lake Store.
What should you do?
A. Send the audit logs to Log Analytics.
B. Send the request logs to Log Analytics.
C. Stream the audit logs to an event hub.
D. Stream the request logs to an event hub.
Answer: A

QUESTION NO: 2
You need to copy data from Microsoft Azure SQL Database to Azure Data Lake Store by using
Azure Data Factory.
Which three 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.
Answer:
Explanation
References:
https://docs.microsoft.com/en-us/azure/data-factory/copy-activity-overview

QUESTION NO: 3
Note: This question is part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You are migrating an existing on-premises data warehouse named LocalDW to Microsoft Azure. You will use an Azure SQL data warehouse named AzureDW for data storage and an Azure Data Factory named AzureDF for extract, transformation, and load (ETL) functions.
For each table in LocalDW, you create a table in AzureDW.
On the on-premises network, you have a Data Management Gateway.
Some source data is stored in Azure Blob storage. Some source data is stored on an on-premises
Microsoft SQL Server instance. The instance has a table named Table1.
After data is processed by using AzureDF, the data must be archived and accessible forever. The archived data must meet a Service Level Agreement (SLA) for availability of 99 percent. If an Azure region fails, the archived data must be available for reading always. The storage solution for the archived data must minimize costs.
End of repeated scenario.
How should you configure the storage to archive the source data? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers

QUESTION NO: 4
You have a Microsoft Azure SQL data warehouse. You have an Azure Data Lake Store that contains data from ORC, RC, Parquet, and delimited text files.
You need to load the data to the data warehouse in the least amount of time possible.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Use Microsoft SQL Server Integration Services (SSIS) to enumerate from the Data Lake Store by using a for loop.
B. Use AzCopy to export the files from the Data Lake Store to Azure Blob storage.
C. For each file in the loop, export the data to Parallel Data Warehouse by using a Microsoft SQL
Server Native Client destination.
D. Load the data by executing the CREATE TABLE AS SELECT statement.
E. Use bcp to import the files.
F. In the data warehouse, configure external tables and external file formats that correspond to the
Data Lake Store.
Answer: D F
Explanation
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure- data-lake-store

QUESTION NO: 5
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 troubleshooting a slice in Microsoft Azure Data Factory for a dataset that has been in a waiting state for the last three days. The dataset should have been ready two days ago.
The dataset is being produced outside the scope of Azure Data Factory. The dataset is defined by using the following JSON code.
You need to modify the JSON code to ensure that the dataset is marked as ready whenever there is data in the data store.
Solution: You change the interval to 24.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation
References:
https://docs.microsoft.com/en-us/azure/data-factory/v1/data-factory-create-datasets

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Updated: May 28, 2022