あるいは、無料で試験70-776絶対合格問題集を更新してあげるのを選択することもできます。こんな保障がありますから、心配する必要は全然ないですよ。NewValidDumpsの70-776絶対合格問題集は多くの受験生に検証されたものですから、高い成功率を保証できます。 そうしたら速くNewValidDumpsを選びましょう。NewValidDumpsは様々なIT認証試験を受ける人々に正確な試験資料を提供するサイトです。 なぜ受験生のほとんどはNewValidDumpsを選んだのですか。

Microsoft Azure SQL Data Warehous 70-776 常々、時間とお金ばかり効果がないです。

Microsoft Azure SQL Data Warehous 70-776絶対合格 - Engineering Data with Microsoft Cloud Services それに、もし最初で試験を受ける場合、試験のソフトウェアのバージョンを使用することができます。 できるだけ100％の通過率を保証使用にしています。NewValidDumpsは多くの受験生を助けて彼らにMicrosoftの70-776 入門知識試験に合格させることができるのは我々専門的なチームがMicrosoftの70-776 入門知識試験を研究して解答を詳しく分析しますから。

NewValidDumpsの70-776絶対合格問題集は実際の70-776絶対合格認定試験と同じです。この問題集は実際試験の問題をすべて含めることができるだけでなく、問題集のソフト版は70-776絶対合格試験の雰囲気を完全にシミュレートすることもできます。NewValidDumpsの問題集を利用してから、試験を受けるときに簡単に対処し、楽に高い点数を取ることができます。

Microsoft 70-776絶対合格 - 暇の時間を利用して勉強します。

時間とお金の集まりより正しい方法がもっと大切です。Microsoftの70-776絶対合格試験のために勉強していますなら、NewValidDumpsの提供するMicrosoftの70-776絶対合格試験ソフトはあなたの選びの最高です。我々の目的はあなたにMicrosoftの70-776絶対合格試験に合格することだけです。試験に失敗したら、弊社は全額で返金します。我々の誠意を信じてください。あなたが順調に試験に合格するように。

そして、70-776絶対合格試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。70-776絶対合格試験参考書があれば,ほかの試験参考書を勉強する必要がないです。

70-776 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