我々は弊社のソフトを通してあなたにMicrosoftの070-776受験対策解説集試験に合格する喜びを感じさせると希望しています。あなたの成功も我々NewValidDumpsの成功です。だから、我々は力を尽くしてあなたにMicrosoftの070-776受験対策解説集試験に合格させます。 人生にはあまりにも多くの変化および未知の誘惑がありますから、まだ若いときに自分自身のために強固な基盤を築くべきです。あなた準備しましたか。 ほかのたくさんの受験生は生活の中でのことに挑戦しています。

Microsoft Azure SQL Data Warehous 070-776 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 070-776受験対策解説集 - 君の夢は1歩更に近くなります。

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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。それは異なる世界の未来を意味しています。

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