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Azure Data Engineer Associate DP-200 でも、成功へのショートカットがを見つけました。

弊社のDP-200 - Implementing an Azure Data Solution独学書籍試験問題集によって、あなたの心と精神の満足度を向上させながら、勉強した後DP-200 - Implementing an Azure Data Solution独学書籍試験資格認定書を受け取って努力する人生はすばらしいことであると認識られます。 さて、はやく試験を申し込みましょう。NewValidDumpsはあなたを助けることができますから、心配する必要がないですよ。

Microsoft　DP-200独学書籍試験問題集を購買してから、一年間の無料更新を楽しみにしています。あなたにMicrosoft　DP-200独学書籍試験に関する最新かつ最完備の資料を勉強させ、試験に合格させることだと信じます。もしあなたはDP-200独学書籍試験に合格しなかったら、全額返金のことを承諾します。

Microsoft DP-200独学書籍問題集を利用して試験に合格できます。

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DP-200 PDF DEMO:

QUESTION NO: 1
You need to provision the polling data storage account.
How should you configure the storage account? To answer, drag the appropriate Configuration Value to the correct Setting. Each Configuration Value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation
Account type: StorageV2
You must create new storage accounts as type StorageV2 (general-purpose V2) to take advantage of
Data Lake Storage Gen2 features.
Scenario: Polling data is stored in one of the two locations:
* An on-premises Microsoft SQL Server 2019 database named PollingData
* Azure Data Lake Gen 2
Data in Data Lake is queried by using PolyBase
Replication type: RA-GRS
Scenario: All services and processes must be resilient to a regional Azure outage.
Geo-redundant storage (GRS) is designed to provide at least 99.99999999999999% (16 9's) durability of objects over a given year by replicating your data to a secondary region that is hundreds of miles away from the primary region. If your storage account has GRS enabled, then your data is durable even in the case of a complete regional outage or a disaster in which the primary region isn't recoverable.
If you opt for GRS, you have two related options to choose from:
* GRS replicates your data to another data center in a secondary region, but that data is available to be read only if Microsoft initiates a failover from the primary to secondary region.
* Read-access geo-redundant storage (RA-GRS) is based on GRS. RA-GRS replicates your data to another data center in a secondary region, and also provides you with the option to read from the secondary region. With RA-GRS, you can read from the secondary region regardless of whether
Microsoft initiates a failover from the primary to secondary region.
References:
https://docs.microsoft.com/bs-cyrl-ba/azure/storage/blobs/data-lake-storage-quickstart-create- account
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy-grs

QUESTION NO: 2
You need to receive an alert when Azure SQL Data Warehouse consumes the maximum allotted resources.
Which resource type and signal should you use to create the alert in Azure Monitor? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation
Resource type: SQL data warehouse
DWU limit belongs to the SQL data warehouse resource type.
Signal: DWU USED
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-insights-alerts-portal

QUESTION NO: 3
You are monitoring an Azure Stream Analytics job.
You discover that the Backlogged Input Events metric is increasing slowly and is consistently non- zero.
You need to ensure that the job can handle all the events.
What should you do?
A. Change the compatibility level of the Stream Analytics job.
B. Create an additional output stream for the existing input stream.
C. Remove any named consumer groups from the connection and use $default.
D. Increase the number of streaming units (SUs).
Answer: D
Explanation
Backlogged Input Events: Number of input events that are backlogged. A non-zero value for this metric implies that your job isn't able to keep up with the number of incoming events. If this value is slowly increasing or consistently non-zero, you should scale out your job. You should increase the
Streaming Units.
Note: Streaming Units (SUs) represents the computing resources that are allocated to execute a
Stream Analytics job. The higher the number of SUs, the more CPU and memory resources are allocated for your job.
Reference:
https://docs.microsoft.com/bs-cyrl-ba/azure/stream-analytics/stream-analytics-monitoring

QUESTION NO: 4
You are responsible for providing access to an Azure Data Lake Storage Gen2 account.
Your user account has contributor access to the storage account, and you have the application ID access key.
You plan to use PolyBase to load data into Azure SQL data warehouse.
You need to configure PolyBase to connect the data warehouse to the storage account.
Which three components should you create in sequence? To answer, move the appropriate components from the list of components to the answer are and arrange them in the correct order.
Answer:
Explanation
Step 1: a database scoped credential
To access your Data Lake Storage account, you will need to create a Database Master Key to encrypt your credential secret used in the next step. You then create a database scoped credential.
Step 2: an external data source
Create the external data source. Use the CREATE EXTERNAL DATA SOURCE command to store the location of the data. Provide the credential created in the previous step.
Step 3: an external file format
Configure data format: To import the data from Data Lake Storage, you need to specify the External
File Format. This object defines how the files are written in Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure- data-lake-store

QUESTION NO: 5
You need to replace the SSIS process by using Data Factory.
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.
Answer:
Explanation
Scenario: A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Step 1: Create a linked service to each database
Step 2: Create two datasets
You can create two datasets: InputDataset and OutputDataset. These datasets are of type AzureBlob.
They refer to the Azure Storage linked service that you created in the previous section.
Step 3: Create a pipeline
You create and validate a pipeline with a copy activity that uses the input and output datasets.
Step 4: Add a copy activity
References:
https://docs.microsoft.com/en-us/azure/data-factory/quickstart-create-data-factory-portal

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Updated: May 28, 2022