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Azure Data Engineer Associate DP-200 弊社は君の試験の１００％合格率を保証いたします。

Azure Data Engineer Associate DP-200学習教材 - Implementing an Azure Data Solution あなたに向いていることを確かめてから買うのも遅くないですよ。 NewValidDumpsの問題集は真実試験の問題にとても似ていて、弊社のチームは自分の商品が自信を持っています。NewValidDumpsが提供した商品をご利用してください。

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DP-200 PDF DEMO:

QUESTION NO: 1
You plan to deploy an Azure Cosmos DB database that supports multi-master replication.
You need to select a consistency level for the database to meet the following requirements:
* Provide a recovery point objective (RPO) of less than 15 minutes.
* Provide a recovery time objective (RTO) of zero minutes.
What are three possible consistency levels that you can select? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Consistent Prefix
B. Session
C. Bounded Staleness
D. Strong
E. Eventual
Answer: A,B,E
Explanation
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels-choosing

QUESTION NO: 2
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

QUESTION NO: 3
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 scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing a solution that will use Azure Stream Analytics. The solution will accept an Azure
Blob storage file named Customers. The file will contain both in-store and online customer details.
The online customers will provide a mailing address.
You have a file in Blob storage named LocationIncomes that contains based on location. The file rarely changes.
You need to use an address to look up a median income based on location. You must output the data to Azure SQL Database for immediate use and to Azure Data Lake Storage Gen2 for long-term retention.
Solution: You implement a Stream Analytics job that has one streaming input, one reference input, two queries, and four outputs.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation
We need one reference data input for LocationIncomes, which rarely changes.
We need two queries, on for in-store customers, and one for online customers.
For each query two outputs is needed.
Note: Stream Analytics also supports input known as reference data. Reference data is either completely static or changes slowly.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-add-inputs#stream-and- reference-input
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs

QUESTION NO: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You develop a data ingestion process that will import data to a Microsoft Azure SQL Data Warehouse.
The data to be ingested resides in parquet files stored in an Azure Data lake Gen 2 storage account.
You need to load the data from the Azure Data Lake Gen 2 storage account into the Azure SQL Data
Warehouse.
Solution:
1. Create an external data source pointing to the Azure storage account
2. Create a workload group using the Azure storage account name as the pool name
3. Load the data using the INSERT...SELECT statement
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation
You need to create an external file format and external table using the external data source.
You then load the data using the CREATE TABLE AS SELECT statement.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure- data-lake-store

QUESTION NO: 5
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

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Updated: May 28, 2022